Influence of Cognitive Function on Postural Control in Physically Independent Older Women: A Time and Time-Frequency Domain Analysis

Influence of Cognitive Function on Postural Control in Physically Independent Older Women: A Time and Time-Frequency Domain Analysis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Influence of Cognitive Function on Postural Control in Physically Independent Older Women: A Time and Time-Frequency Domain Analysis Camila Pereira, Bruna Prado Gomes, Anderson da Silva Honorato, and 8 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6946491/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 19 Jan, 2026 Read the published version in BMC Geriatrics → Version 1 posted 10 You are reading this latest preprint version Abstract Background and Purpose This study aimed to investigate whether different levels of cognitive impairment influence postural control (PC) in physically independent older women, using time domain and time-frequency domain analyses. Understanding this relationship is essential for developing targeted interventions to reduce fall risk in aging populations. Methods A cross-sectional study included 129 women aged ≥ 60 years (mean age: 69), who were physically independent and had not engaged in structured exercise for at least three months. Participants were classified into three groups based on Montreal Cognitive Assessment (MoCA) scores: normal cognition (NC), mild cognitive impairment (MCI), and advanced cognitive impairment (ACI). PC data were analyzed using two distinct methods: time domain analysis and time-frequency domain analysis. The time-frequency analysis categorized postural sway into three frequency bands: low (0.05–0.5 Hz), medium (0.5–1.5 Hz), and high (1.5–10 Hz). Group differences were assessed using one-way ANOVA, preceded by Levene’s test for homogeneity of variances. When variance assumptions were violated, data were log-transformed (base 10) to meet normality requirements. Post hoc comparisons were conducted using the Sidak test. Additionally, effect size was calculated using partial eta squared to evaluate the clinical relevance of the findings. Results Time-domain analysis revealed that participants with better cognitive function exhibited reduced postural sway in BSEO, BIUS, and BIVR conditions. No statistically significant differences were observed in time-frequency domain analysis; however, different frequency band distribution patterns were noted. Lower frequency bands (visual-vestibular system) were predominant in less challenging tasks, while cerebellar (medium frequency) and proprioceptive (high frequency) systems were more active in complex conditions. Clinical relevance analysis confirmed that better cognitive function was associated with improved PC across both analysis methods. Conclusion Cognitive status influences PC, with variations depending on task complexity and analysis method. These findings underscore the importance of incorporating cognitive assessments into balance evaluations and fall prevention strategies for older adults. Cognition Aging Older women Mild cognitive impairment Postural control Balance 1. Introduction The relationship between cognition and motor function has aroused significant interest; some studies have shown changes in motor function in the early stages of cognitive decline ( 1 – 4 ). Given this, postural control (PC) may vary among older people with different levels of cognitive performance. Thus, if a change in neural postural control is associated with age-related alterations in cognitive control, it is likely that these postural and cognitive functions share the same circuits or mechanisms ( 1 , 5 , 6 ). Some studies have shown that when cognitive exercises are added to balance training, the results are better than when performing balance training in isolation ( 1 , 7 ). However, although this type of intervention presents better results, the behavior of PC in older people with different levels of cognitive impairment is still little explored, especially when simple instruments, such as questionnaires, track cognition. PC is usually evaluated with a force platform in different balance conditions, which may or may not be in usual conditions, and can also be analyzed in the time domain and time-frequency domain. The most used method is the analysis in the time domain, or the linear method; however, some authors ( 8 ) point out that an increase in linear values does not always suggest an imbalance but may reflect a strategy of some individuals to explore their support base, being more flexible. Other authors ( 9 , 10 ), however, describe this increase in linear values as a postural imbalance. In view of this, there are still gaps in the understanding of the changes in PC. Thus, other ways to analyze PC data could aid in understanding the results. Another method, non-linear, which analyzes PC in the time-frequency domain, is an interesting method since, in addition to pointing out at which frequency (low, medium, or high) individuals remain longer, it is possible to infer which system or systems are contributing more effectively to the individual's PC ( 8 , 11 ). According to MACDONALD et al. ( 12 ), an increase in cognitive and motor variability usually occurs before the clinical manifestations of functional decline. Given that changes in motor function precede changes in cognition in older adults ( 13 , 14 , 15 ), PC monitoring could produce early detection of progressive motor decline and thus predict cognitive decline in the older population ( 16 , 17 ). Castilho et al. ( 18 ) carried out a study comparing the PC of older people with different levels of cognition, evaluated by the Mini Mental State Examination (MMSE), but they did not identify statistically significant differences. The MoCA (Montreal Cognitive Assessment) is a questionnaire that also analyzes cognitive impairment and seems to present greater sensitivity for screening cognitive decline compared to the MMSE. Thus, a study using this instrument to assess cognition could point to better results in the comparison of PC in older adults. Although cognitive dysfunction is associated with an increased risk of falls ( 14 ), there is little information about alterations in PC during the early stages of cognitive decline ( 1 ). In addition, there is little information on whether the time domain and time-frequency domain analysis methods of PC can discriminate these differences at different levels of cognitive decline. Therefore, the objective of the present study was to analyze whether cognition can influence the PC of physically independent older women, using the methods of PC analysis in the time domain and in the time-frequency domain, in five postural balance tasks. 2. Methods 2.1. Study Design This is a cross-sectional, non-randomized controlled trial conducted in Londrina, Paraná, Brazil, between August and November 2018. The study was approved by the Ethics Committee for Research Involving Human Beings of the State University of Londrina (approval number: 2.788.802). 2.2. Sample Two hundred and seventy-three older women residing in the local community applied to participate in this study. Of these, 129 met the eligibility criteria. Inclusion criteria were: being 60 years of age or older, being physically independent, and not having participated in a supervised physical exercise program in the previous three months. Older women who used prostheses and orthoses and those who had decompensated diseases that prevented them from participating in the evaluations were excluded from the study. 2.3. Instruments and Procedures The characteristics of the participants were compiled using questionnaires and anthropometric assessments. Sociodemographic and health-related information was collected using a structured diagnostic interview form specifically developed by the research team for this study. The full English version of the instrument is provided as Supplementary Material 1 . The presence of comorbidities was evaluated by the Charlson index ( 19 ), and the fear of falling was evaluated by the Falls Efficacy Scale International (FES-I), validated for the Brazilian population by Camargos ( 20 ). The anthropometric characteristics evaluated were mass (kg), body height (m), and the Body Mass Index (BMI) (kg/m²), using a digital reading scale with a stadiometer, Balmak brand, Class III model (São Paulo, Brazil), with a scale of 0.1 kg. To assess the cognitive state, the MoCA instrument was used (Montreal Cognitive Assessment) ( 21 ), developed as a brief instrument for screening cognitive impairment. At the time of data collection (August to November 2018), the use of the MoCA instrument did not require a license for academic research. This instrument has high sensitivity (81%) and specificity (77%) to detect mild intellectual impairment in Brazilian older adults ( 22 ). The MoCA assesses eight cognitive domains, which are scored in a range of 0 to 30 points (higher scores indicating better function): short-term memory, naming, visuospatial skills, executive function, attention, concentration, working memory, and orientation to time and space. To correct for the educational effects found in the original study, an additional point was given to individuals with 12 or fewer years of schooling, following the authors' instructions. Older adults with a score ≥ 26 are considered to have normal cognition (NC), with scores between 25 and 19 points indicating mild cognitive impairment (MCI), and older adults with a score < 19 indicating moderate or advanced cognitive impairment (ACI) ( 22 , 23 ). PC was evaluated using a force plate. The participants were initially familiarized with the equipment and the tasks to be performed on the platform. For familiarization, each patient was individually oriented about the equipment and how the assessment would be performed, as well as the positions for each tested balance condition. Thus, before each condition, the evaluator demonstrated the position to the patient who then tried the position on the platform. After familiarization with the instrument and experimental protocol, participants performed five postural balance tasks on the force platform (EMG SYSTEM –BIOMEC 400): 1) bipedal support with eyes open - BSEO; 2) bipedal support with eyes closed - BSEC; 3) unipedal support, with the preferred lower limb and with eyes open - UNEO ( 10 , 24 , 25 ); 4) bipedal support on a foam surface with eyes open BIUS; and 5) bipedal support using semi-immersive Virtual Reality goggles - BIVR. In this last balance condition, the participants wore virtual reality glasses, with a video simulating the moment when a person is waiting to cross a busy street, with some visual and auditory disturbances from the reality of daily life. A Samsung brand (J5) cell phone device was used, attached to an Eken Pano Live I 360 Degree camera, Android VR 360º. The virtual reality glasses were GoalPro Gear VR 3D 360° vision for Android and iOS. All balance conditions were performed in a standardized way, with markings for the positioning of the feet. For each task on the force platform, two 30-second attempts were performed, with a 30-second rest between them, and the mean of the attempts was used for the statistical analysis ( 26 ). The protocol was standardized for each task: bare feet, foot position standardized, arms loose and relaxed at the sides of the body and with the cephalic segment positioned horizontally to the ground. For the condition involving eyes open (tasks 1, 3 and 4), each participant directed their gaze to a fixed target (black cross = 14.5 cm high x 14.5 cm wide x 4 cm thick), positioned on the wall at eye level, at 2.5 meters. For the analysis of the PC with the time domain method, the ground reaction force signals from the platform measurements were collected, sampling at 100 Hz. All force signals were filtered with a second-order Butterwort h low-pass filter at 35 Hz. The signals were then converted by means of stabilographic analysis, through the software EMGLab2 (EMG System). In the stabilographic analysis of the COP (center of pressure) data, the main PC parameters were calculated with the force platform: 95% COP ellipse area (A-COP in cm 2 ), mean velocity (VEL in cm/s) in the anteroposterior (A/P) and mediolateral (M/L) directions ( 27 ). For the analysis by the method in the time-frequency domain, the wavebands technique (frequency bands) was employed. The global technique numerically expresses the size of the oscillation patterns, in the time or frequency domains ( 28 ) and COP variables with higher frequencies suggest worse PC ( 28 , 29 ). COP analyses using wavebands provide information on signal amplitude at different frequency contents, which allows the overall signal to be separated into physiological components (e.g., visual, vestibular, and proprioceptive) ( 8 , 11 ). Furthermore, the COP signal is not stationary (i.e., frequencies are not evenly distributed over time); therefore, time and frequency analysis are more appropriate than traditional methods in the frequency domain, for example, Fast Fourier Transform; ( 30 , 31 ). Some authors have related wavebands with specific neural systems involved in PC ( 30 , 32 ). The wavebands adopted were 0.05–0.5 Hz (low frequencies), 0.5–1.5 Hz (medium frequencies), and 1.5–10 Hz (high frequencies). These bands in the time-frequency domain are considered to correspond to the use of different PC mechanisms; the first band (low frequencies) is related to the visual-vestibular system, the second to the cerebellar system, and the third to the proprioceptive system ( 8 , 33 ). Results are presented as percentages of the integral time of the entire signal for each band for the AP (anteroposterior) and ML (mediolateral) displacement. 2.4. Statistical Analysis Initially, the older women were classified based on their cognitive performance according to the MoCA parameters: normal cognition (NC), mild cognitive impairment (MCI), and advanced cognitive impairment (ACI). Subsequently, the normality of the data was tested using the Shapiro-Wilk test. Descriptive results are presented as mean and standard deviation for parametric data, and as median and interquartile range for non-parametric data. To verify the differences between the groups in the study variables, a one-way analysis of variance (one-way ANOVA) was performed with Sidak's Post Hoc. Before performing the ANOVA, Levene's test of homogeneity of variances was performed. Data that were not homogeneous were transformed to log base 10. The effect size (ES) used was the partial eta squared. An ES < 0.01 was considered insignificant (trivial), an ES of ≥ 0.01 to < 0.06 as a small effect size, from ≥ 0.06 to < 0.14 as a moderate effect size, and an ES ≥ 0.14 as a large effect size ( 34 ). The significance level adopted was 5%. The data were analyzed using the software Statistical Package for the Social Sciences (SPSS) 24.0. 2.5. Ethical Considerations This study was a non-randomized controlled trial, registered in the Brazilian Registry of Clinical Trials (ReBEC) under the number RBR-2hjj7g (UTN: U1111-1254-3147). The sample was selected through non-probabilistic convenience sampling, including 129 physically independent older women recruited from social media, community health centers, and local outreach in Londrina, Brazil. The study was approved by the Ethics Committee for Research Involving Human Beings of the State University of Londrina (approval number: 2.788.802) and was conducted in accordance with the ethical standards of the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. All participants received verbal and written information regarding the study objectives and procedures and signed an informed consent form prior to participation. 3. Results Table 1 presents the characteristics of the participants in general, separated by cognitive state. The classification indicated that 17% of the older women presented NC, 52.7% presented MCI, and 30.2% presented ACI. The three groups showed similar baseline characteristics, except for the MoCA variable, in which the three groups differed from each other. Variables Total (n=129) NC (n=22) MCI (n=68) ACI (n=39) P Age (SD) 69.0 (12.0)# 67.9 (6.6) 70.0 (9.0)# 71.0 (14.0)# 0.222 BMI (SD) 28.3 (6.3)# 30.0 (4.8) 28.3 (6.5)# 27.6 (4.0) 0.208 Charlson I (SD) 1.0 (2.0)# 3.0 (2.0)# 3.0 (1.0)# 3.0 (2.0)# 0.523 FES-I (SD) 25.0 (10.0)# 22.5 (11.0)# 25.0 (10.0)# 26.0 (8.0)# 0.613 MoCA (SD) 21.0 (7.0) 28.0 (3.0)# 22.0 (4.0)# 16.0 (3.0)# <0.001 a,b Table 1. Characteristics of the MoCA cut-off point classification groups. (SD): mean (standard deviation) of the parametric results, # non-parametric results presented as median (interquartile range), BMI: body mass index; FES-I: Falls Efficacy Scale - International; MoCA: Montreal Cognitive Assessment; NC: normal cognition; MCI: mild cognitive impairment; ACI: advanced cognitive impairment. a NC different from MCI and ACI; b MCI different from ACI. Table 2 presents the differences in the PC variables between the three groups. The results indicate that the NC group presented significantly lower postural oscillations in the variables Vel A/P and Vel M/L, compared to the other groups in the BSEO condition (p<0.05). In the BSEC condition, a statistically significant difference was also found in the variable Vel A/P, where the NC group had lower postural oscillations compared to the other groups (p=0.01). In the UNEO condition, no significant differences were observed between the groups. In the BIUS condition, statistically significant differences were observed in all PC variables (p<0.05), indicating that the NC group presented lower postural oscillations compared to the other groups. In the BIVR condition, statistically significant differences were also found between the MCI and ACI groups, with the MCI group showing less postural sway in the variables Vel A/P and M/L (p=0.01) compared to the ACI group. Regarding the clinical relevance and effect size, shown in Table 3, it can be observed that there was an increase in percentage values in almost all variables, indicating that, although some comparisons did not show statistically significant differences, when considering PC in different cognitive states, there was clinical relevance, and individuals with a better cognitive state showed better PC, with effect sizes ranging from small to moderate. Table 2. Comparison of postural control among older women with different levels of cognition, according to the MoCA classification, by one-way ANOVA. Variables Total (95 % CI) NC GROUP (95 % CI) MCI GROUP (95 % CI) ACI GROUP (95 % CI) F Value P Value BSEO- BIPODAL WITH EYES OPEN n= 129 n= 22 n= 68 n= 39 A-COP (cm²) 1.17 (1.04-1.31) 1.31 (0,97-1,65) 1.16 (0,97-1.35) 1.40 (1.15-1.65) 1.347 0.264 Vel A/P (cm/s) 1.74 (1.69-1.79) 1.69 (1.59-1.80) 1.78 (1.72-1.84) 1.88 (1.80-1.96) 5.825 0.004 a Vel M/L (cm/s) 1.53 (1.48-1.58) 1.46 (1.36-1.55) 1.53 (1.48-1.59) 1.63 (1.56-1.71) 6.180 0.003 a BSEC- BIPODAL WITH EYES CLOSED n= 129 n= 22 n= 68 n= 39 A-COP (cm²) 1.40 (1.21-1.59) 1.63 (1.18-2.07) 1.38 (1.13-1.63) 1.65 (1.32-1.99) 1.032 0.359 Vel A/P (cm/s) 1.90 (1.84-1.96) 1.86 (1.69-2.03) 1.96 (1.87-2.06) 2.06 (1.93-2.18) 2.961 0.055 Vel M/L (cm/s) 1.55 (1.50-1.60) 1.49 (1.39-1.57) 1.55 (1.49-1.61) 1.63 (1.55-1.70) 4.192 0.017 a UNEO- UNIPEDAL WITH EYES OPEN n= 103 n= 18 n= 55 n= 30 A-COP (cm²) 11.68 (10.72-12.65) 11.09 (8.75-13.42) 12.07 (10.74-13.39) 11.34 (9.54-13.13) 0.471 0.625 Vel A/P (cm/s) 3.37 (3.21-3.53) 3.28 (2.90-3.65) 3.42 (3.21-3.63) 3.33 (3.04-3.62) 0.489 0.615 Vel M/L (cm/s) 4.04 (3.89-4.20) 3.93 (3.57-4.29) 4.04 (3.84-4.25) 4.12 (3.84-4.39) 0.740 0.480 BIUS- BIPODAL WITH EYES OPEN AND ON FOAM n= 129 n= 22 n= 68 n= 39 A-COP (cm²) 4.48 (3.76-5.21) 4.32 (2.90-5.73) 4.17 (3.37-4.97) 6.17 (5.11-7.22) 5.851 0.004 b Vel A/P (cm/s) 2.07 (1.99-2.14) 2.05 (1.84-2.26) 2.18 (2.06-2.30) 2.35 (2.20-2.51) 4.632 0.011 a Vel M/L (cm/s) 1.62 (1.56-1.67) 1.53 (1.42-1.64) 1.63 (1.57-1.69) 1.71 (1.64-1.80) 5.508 0.005 a (Continued) Table 2. Comparison of postural control among older women with different levels of cognition, according to the MoCA classification, by one-way ANOVA. (Continuation) Variables Total (95 % CI) NC GROUP (95 % CI) MCI GROUP (95 % CI) ACI GROUP (95 % CI) F Value P Value BIVR- BIPODAL WITH VIRTUAL REALITY n= 129 n= 22 n= 68 n= 39 A-COP (cm²) 1.00 (0.88-1.12) 1.21 (0.83-1.59) 0.95 (0.74-1.16) 1.34 (1.05-1.62) 2.725 0.069 Vel A/P (cm/s) 1.76 (1.71-1.82) 1.76 (1.58-1.94) 1.79 (1.68-1.89) 1.98 (1.85-2.11) 4.431 0.014 b Vel M/L (cm/s) 1.51 (1.46-1.56) 1.46 (1.36-1.56) 1.51 (1.46-1.57) 1.60 (1.53-1.68) 4.446 0.014 c (95% CI): mean (95% confidence interval); NC: normal cognition; MCI: mild cognitive impairment; ACI: advanced cognitive impairment; A-COP: area of oscillation of the center of pressure, presented in centimeters squared (cm²); Vel: mean oscillation velocity of the center of pressure in the A/P: anteroposterior and M/L: mediolateral directions, presented in centimeters per second (cm/s). Results with statistical significance are shown in bold. a NC different from MCI and ACI; b MCI different from ACI; c NC different from ACI. Table 3. Clinical differences and Effect size of the comparison of postural control among older women with different levels of cognition, according to the MoCA classification, by one-way ANOVA. Variables MCI x NC GROUP ACI x MCI GROUP ACI x NC GROUP ES Partial Eta Squared ES interpretation BSEO- BIPODAL WITH EYES OPEN n= 22 n= 68 n= 39 A-COP (cm²) 20.7% >6.9% 0.02 Small Vel A/P (cm/s) >5.3% >5.6% >11,2% 0.09 Moderate Vel M/L (cm/s) >4.8% >6.5% >11.6% 0.09 Moderate BSEC- BIPODAL WITH EYES CLOSED n= 22 n= 68 n= 39 A-COP (cm²) 19.6% >1.2% 0.02 Small Vel A/P (cm/s) >5.4% >5.10% >10.8% 0.05 Small Vel M/L (cm/s) >4.0% >5.2% >9.4% 0.06 Moderate UNEO- UNIPEDAL WITH EYES OPEN n= 18 n= 55 n= 30 A-COP (cm²) >8.8% 2.3% 0.01 Small Vel A/P (cm/s) >4.3% 1.5% 0.01 Small Vel M/L (cm/s) >2.8% >2.0% >4.8% 0.02 Small BIUS- BIPODAL WITH EYES OPEN AND ON FOAM n= 22 n= 68 n= 39 A-COP (cm²) 48.0% >42.8% 0.00 Trivial Vel A/P (cm/s) >6.3% >7.8% >14.6% 0.07 Moderate Vel M/L (cm/s) >6.5% >4.9% >11.8% 0.08 Moderate (Continued) Table 3. Clinical differences and Effect size of the comparison of postural control among older women with different levels of cognition, according to the MoCA classification, by one-way ANOVA. (Continuation) Variables MCI x NC GROUP ACI x MCI GROUP ACI x NC GROUP ES Partial Eta Squared ES interpretation BIVR- BIPODAL WITH VIRTUAL REALITY n= 22 n= 68 n= 39 A-COP (cm²) 41.1% >10.7% 0.04 Small Vel A/P (cm/s) >1.7% >10.6% >12.5% 0.07 Moderate Vel M/L (cm/s) >3.4% >6.0% >9.6% 0.07 Moderate NC: normal cognition; MCI: mild cognitive impairment; ACI: advanced cognitive impairment; A-COP: area of oscillation of the center of pressure, presented in centimeters squared (cm²); Vel: mean velocity of oscillation of the center of pressure in the A/P: anteroposterior and M/L: mediolateral directions, presented in centimeters per second (cm/s). The results of the comparisons of the PC variables in the time-frequency domain, shown in Table 4, indicated that there were no statistically significant differences in any of the variables or in any of the analyzed balance conditions. In general, the older women, regardless of their cognitive classification, showed similar patterns in the frequency band distribution in the BSEO, BSEC, and BIVR tasks. In the AP deviation, the frequency distribution pattern of the PC signal amplitude was 57 to 61% in low frequency, 23 to 27% in medium frequency and 14 to 15% in high frequency. In the ML displacement, the three frequency divisions were similar, ranging from 29 to 38% each. In the BIUS and UNEO conditions, which are more challenging tasks, the distribution pattern was similar in the AP and ML displacements, with a signal time percentage of 42 to 53 in the low frequencies, followed by 30 to 38% in the medium frequencies, and 13 to 20% at high frequencies. Regarding the clinical relevance and effect size, shown in Table 5, it can be observed that there was an increase in percentage values in almost all variables, indicating that although some comparisons did not have statistically significant differences, in terms of PC in different cognitive states, there was clinical relevance, and that individuals with a better cognitive status present better PC, with effect sizes ranging from small to moderate, similar to the analysis in the time domain. Table 4. Comparison of postural control through specific analysis in the time-frequency domain, separated by bands, among older women with different levels of cognition according to the MoCA classification. Variables Frequency band Total NC GROUP (95 % CI) MCI GROUP (95 % CI) ACI GROUP (95 % CI) F Value P Value BSEO- BIPODAL WITH EYES OPEN n= 129 n= 22 n= 68 n= 39 AP 0.05-0.5 Hz (%) 60.10 (58.63-61.58) 61.64 (58.45-64.83) 58.80 (56.99-60.60) 60.07 (57.68-62.46) 1.653 0.196 0.5-1.5 Hz (%) 24.31 (23.14-25.49) 23.66 (21.03-26.29) 25.22 (23.73-26.71) 24.80 (22.82-26.77) 0.829 0.439 1.5-10 Hz (%) 15.58 (14.85-16.32) 14.71 (13.16-16.25) 15.99 (15.11-16.86) 15.15 (13.99-16.31) 1.482 0.231 ML 0.05-0.5 Hz (%) 36.11 (34.71-37.51) 38.56 (35.46-41.67) 35.87 (34.12-37.63) 35.56 (33.24-37.89) 1.449 0.239 0.5-1.5 Hz (%) 33.03 (32.22-33.95) 31.74 (29.69-33.79) 33.24 (32.09-34.40) 34.67 (33.14-36.21 2.345 0.100 1.5-10 Hz (%) 30.86 (29.55-32.17) 29.69 (26.80-32.59) 30.89 (29.26-32.53) 29.76 (27.59-31.94) 0.464 0.630 BSEC- BIPODAL WITH EYES CLOSED n= 22 n= 68 n= 39 AP 0.05-0.5 Hz (%) 58.26 (56.84-59.68) 59.09 (55.89-62.29) 57.19 (55.39-59.00) 57.14 (54.74-59.53) 1.117 0.330 0.5-1.5 Hz (%) 26.60 (25.50-27.70) 26.44 (23.92-28.96) 27.07 (25.65-28.49) 27.46 (25.57-29.35) 0.337 0.715 1.5-10 Hz (%) 15.10 (14.39-15.80) 14.49 (13.02-15.96) 15.73 (14.89-16.56) 15.39 (14.29-16.49) 1.784 0.172 ML 0.05-0.5 Hz (%) 34.51 (33.10-35.91) 36.99 (34.03-39.94) 33.86 (32.19-35.53) 35.77 (33.55-37.98) 2.106 0.126 (Continued) Tabela 4. Comparison of postural control through specific analysis in the time-frequency domain, separated by bands, among older women with different levels of cognition according to the MoCA classification. (Continuation) Variables Frequency band Total NC GROUP (95 % CI) MCI GROUP (95 % CI ACI GROUP (95 % CI F Value P Value 0.5-1.5 Hz (%) 34.40 (33.48-35.32) 33.43 (31.24-35.61) 34.80 (33.57-36.04) 34.97 (33.33-36.61) 0.522 0.595 1.5-10 Hz (%) 31.12 (29.91-32.33) 29.59 (26.90-32.28) 31.35 (29.83-32.87) 29.33 (27.31-31.35) 1.435 0.242 UNEO- UNIPEDAL WITH EYES OPEN n= 18 n= 55 n= 30 AP 0.05-0.5 Hz (%) 45.23 (43.85-46.60) 45.87 (42.52-49.22) 45.44 (43.54-47.34) 44.45 (41.88-47.03) 0.330 0.720 0.5-1.5 Hz (%) 37.09 (36.04-38.13) 36.65 (34.12-39.19) 36.70 (35.26-38.14) 38.06 (36.11-40.01) 0.775 0.464 1.5-10 Hz (%) 17.69 (17.04-18.33) 17.48 (15.90-19.06) 17.86(16.97-18.76) 17.49 (16.28-18.71) 0.162 0.850 ML 0.05-0.5 Hz (%) 42.60 (41.29-43.91) 42.76 (39.60-45.92) 42.67 (40.88-44.46) 42.38 (39.95-44.81) 0.114 0.893 0.5-1.5 Hz (%) 37.24 (36.21-38.26) 38.13 (35.67-40.60) 37.04 (35.65-38.44) 37.06 (35.17-38.95) 0.113 0.893 1.5-10 Hz (%) 20.16 (19.44-20.89) 19.11 (17.35-20.87) 20.29 (19.29-21.28) 20.56 (19.21-21.92) 1.041 0.357 BIUS- BIPODAL WITH EYES OPEN AND ON FOAM n= 22 n= 68 n= 39 AP 0.05-0.5 Hz (%) 53.34 (51.75-54.92) 52.61 (48.97-56.25) 52.12 (50.07-54.18) 51.99 (49.26-54.71) 0.241 0.786 0.5-1.5 Hz (%) 33.26 (31.98-34.55) 34.06 (31.15-36.97) 33.77 (32.13-35.42) 34.86 (32.68-37.05) 0.509 0.602 1.5-10 Hz (%) 13.40 (12.85-13.95) 13.33 (12.05-14.62) 14.10 (13.38-4.83) 13.17 (12.20-14.13) 1.231 0.295 ML (Continued) Table 4. Comparison of postural control through specific analysis in the time-frequency domain, separated by bands, among older women with different levels of cognition according to the MoCA classification. (Continuation) Variables Frequency band Total NC GROUP (95 % CI) MCI GROUP (95 % CI ACI GROUP (95 % CI F Value P Value 0.05-0.5 Hz (%) 52.01 (50.25-53.77) 53.09 (49.40-56.79) 50.83 (48.74-52.91) 53.58 (50.80-56.35) 1.634 0.199 0.5-1.5 Hz (%) 31.20 (29.68-32.72) 30.20 (26.90-33.49) 32.12 (30.26-33.98) 30.67 (28.20-33.14) 0.742 0.478 1.5-10 Hz (%) 16.80 (16.10-17.49) 16.71 (15.26-18.16) 17.06 (16.24-17.87) 15.76 (14.67-16.84) 2.182 0.117 BIVR- BIPODAL WITH VIRTUAL REALITY n= 22 n= 68 n= 39 AP 0.05-0.5 Hz (%) 61.74 (60.28-63.21) 61.14 (57.94-64.33) 61.07 (59.27-62.87) 60.84 (58.45-63.24) 0.278 0.758 0.5-1.5 Hz (%) 23.00 (21.91-24.09) 24.04 (21.61-26.47) 23.46 (22.09-24.83) 23.44 (21.61-25.26) 0.028 0.972 1.5-10 Hz (%) 15.20 (14.46-15.95) 14.81 (13.22-16.40) 15.47 (14.57-16.37) 15.58 (14.39-16.77) 1.025 0.362 ML 0.05-0.5 Hz (%) 33.03 (31.63-34.43) 36.48 (33.46-39.50) 32.80 (31.10-34.51) 32.36 (30.09-34.62) 2.992 0.054 0.5-1.5 Hz (%) 33.97 (13.88-94.06) 33.25 (30.73-35.76) 33.48 (32.06-34.90) 35.31 (33.43-37.20) 1.265 0.286 1.5-10 Hz (%) 33.15 (31.96-34.34) 30.31 (27.65-32.98) 33.44 (31.94-34.95) 32.31 (30.31-34.31 2.402 0.095 (95% CI): mean (95% confidence interval); NC: normal cognition; MCI: mild cognitive impairment; ACI: advanced cognitive impairment; AP: anteroposterior displacement and ML: mediolateral displacement, presented in Hertz (Hz). 0.05-0.5 Hz: low frequency; 0.5-1.5 Hz: medium frequency; 1.5-10 Hz: high frequency. Table 5. Comparison of postural control through specific frequency analysis, separated by bands, among older women with different levels of cognition according to the MoCA classification. Variables Frequency band MCI x NC GROUP ACI x MCI GROUP ACI x NC GROUP ES Partial Eta Squared Interpretation of ES BIPODAL WITH EYES OPEN n= 22 n= 68 n= 39 AP 0.05-0.5 Hz 2.2% 6.6% 4.8% 0.01 Small 1.5-10 Hz >8.7% 3.0% 0.02 Small ML 0.05-0.5 Hz <7.0% <0.9% 4.7% >4.3% >9.2% 0.04 Small 1.5-10 Hz >4.0% 0.2% 0.01 Small BIPODAL WITH EYES CLOSED n= 22 n= 68 n= 39 AP 0.05-0.5 Hz <3.2% <0.1% 2.4% >1.4% >3.9% 0.01 Small 1.5-10 Hz >8.6% 6.2% 0.03 Small ML 0.05-0.5 Hz 5.6% 4.1% >0.5% >4.6% 0.01 Small 1.5-10 Hz >5.9% <6.4% <0.9% 0.02 Small UNIPEDAL WITH EYES OPEN n= 18 n= 55 n= 30 AP 0.05-0.5 Hz <0.9% <2.2% 0.1% >3.7% >3.8% 0.02 Small 1.5-10 Hz >2.2% 0.1% 0.00 Trivial ML 0.05-0.5 Hz <0.2% <0.7% <0.9% 0.00 Trivial 0.5-1.5 Hz 0.01% <2.8% 0.00 Trivial (Continued) Table 5. Comparison of postural control through specific frequency analysis, separated by bands, among older women with different levels of cognition according to the MoCA classification. (Continuation) Variables Frequency band MCI x NC GROUP ACI x MCI GROUP ACI x NC GROUP ES Partial Eta Squared Interpretation of ES 1.5-10 Hz >6.2% >1.3% >7.3% 0.02 Trivial BIPODAL WITH EYES OPEN AND ON FOAM n= 22 n= 68 n= 39 AP 0.05-0.5 Hz <0.2% <0.2% <1.2% 0.00 Trivial 0.5-1.5 Hz 3.2% >2.3% 0.01 Trivial 1.5-10 Hz >5.8% <6.6% <1.2% 0.02 Small ML 0.05-0.5 Hz 5.4% >0.9% 0.03 Small 0.5-1.5 Hz >6.4% 1.6% 0.01 Small 1.5-10 Hz >2.1% <7.6% <5.7% 0.03 Small BIPODAL WITH VIRTUAL REALITY n= 22 n= 68 n= 39 AP 0.05-0.5 Hz <0.1% <0.4% <0.5% 0.00 Trivial 0.5-1.5 Hz <2.4% <0.1% 7.2% >0.7% >5.2% 0.02 Small ML 0.05-0.5 Hz <10.1% <1.3% 0.7% >5.5% >6.2% 0.02 Small 1.5-10 Hz >10.3% 6.6% 0.04 Small (95% CI): mean (95% confidence interval); NC: normal cognition; MCI: mild cognitive impairment; ACI: advanced cognitive impairment; AP: anteroposterior displacement and ML: mediolateral displacement, presented in Hertz (Hz). 0.05-0.5 Hz: low frequency; 0.5-1.5 Hz: medium frequency; 1.5-10 Hz: high frequency. Comparisons were also made among the balance conditions, both by the method of analysis in the time domain and by the method in the time-frequency domain, in which it was possible to observe, in general, that the conditions differed from each other in practically all the variables and in all the cognitive states tested. The figures containing these analyses can be found in the supplementary material in the appendix. 4. Discussion The present study aimed to analyze whether cognition influences the postural control of physically independent older women by utilizing postural control (PC) analysis methods in both the time domain and the time-frequency domain across five postural balance tasks. The results indicated that, in the time domain, older women with better cognitive function exhibited lower postural oscillations in PC variables (specifically in Vel A/P and Vel M/L) compared to those with some degree of cognitive impairment in the BSEO, BIOES, and BIVR conditions. In contrast, the time-frequency domain analysis did not reveal statistically significant differences in any of the variables or conditions tested. However, the distribution patterns in the frequency bands between the AP and ML displacements differed in the less challenging tasks and were similar in the more challenging tasks. Furthermore, clinically relevant analyses suggest that individuals with better cognitive function tend to have better balance. No studies have yet been found in the literature that compared the PC of older women with different levels of cognition, evaluated by the MoCA and the force platform, using the methods of analysis in the time domain and in the time-frequency domain. Although several studies have investigated cognition and PC in older adults, some authors ( 35 , 36 ) emphasize that the relationship between cognitive impairment and motor impairment still needs to be explored. Altered postural balance is a powerful predictor of falls in older adults, especially in older adults with cognitive disorders ( 37 , 38 ). As a result, balance assessment, in particular PC analysis with the force platform, is useful for understand alterations related to cognitive impairment in postural sway. In this sense, the current study provided evidence that older women with NC, when evaluated by the MoCA, show lower postural sway than older women with MCI and ACI, analyzed by the time domain analysis method and, in some variables, older women with MCI show lower values than older women with ACI. Studies that have performed this type of comparison of PC in older women with different cognitive levels were found only using the Mini Mental State Examination (MMSE) questionnaire, in which some results corroborate the present study ( 30 , 40 ), while others do not ( 18 ). The MoCA questionnaire has been widely used by researchers in the older population, and this tool seems to be more sensitive in discriminating cognitive impairments, especially in mild cognitive impairment, where the MoCA has a smaller ceiling effect on the score, when compared to the MMSE ( 41 ). In the study by Deschamps et al. ( 39 ), in which the PC was compared between the different cognitive states, classified by the MMSE, the results, as in this study, showed that older adults with greater cognitive impairment demonstrated greater oscillations in the PC variables than older adults with less cognitive impairment. Unlike that study, which analyzed only the BSEO and BSEC balance conditions, in this study, three more conditions were evaluated, including more challenging conditions, which also indicated the same pattern of results, except for the UNEO condition, in which there were no differences between the groups in any of the PC variables. Castilho et al. ( 18 ), found results similar to those of the present study in the UNEO condition when using the MMSE to evaluate older people with different cognitive levels. These results may be because this body posture is quite challenging ( 42 ), which causes greater difficulties for all older adults, regardless of their cognitive state. Thus, PC in the UNEO condition does not seem to differ in older women with different cognitive levels. When the PC was evaluated in the BIVR condition, it was possible to observe smaller postural oscillations in the evaluated variables, compared to the condition that appeared to be the least challenging, which is the BSEO. This probably occurred because the BIVR condition presents several stimuli, that is, visual stimulus simulating the moment of crossing a busy street, sound stimulus from horns, acceleration, and other sounds found on the streets, and semi-immersive virtual reality stimulus, with the virtual reality glasses. Consequently, attention is needed for so many stimuli, which affects maintaining balance, while the individual needs to concentrate a lot, thus making the postural oscillations in the PC variables in the BIVR condition smaller than the variables in the other conditions. It is important to highlight that the results of previous studies ( 39 , 43 ), as well as the findings of the present study, except for the UNEO condition, suggest that the PC strategies used by older adults with cognitive impairment may be a clinical hallmark of early cognitive dysfunction and may help in diagnosing individuals at an increased risk of a fall. According to a systematic review with meta-analysis ( 44 ), static PC appears to be affected by mild cognitive impairment (MCI), although there is limited evidence. The authors ( 44 ), further state that evaluation with gold standard equipment, such as the force platform, can provide a more critical analysis for the diagnosis of MCI and a personalized intervention targeting the specific deficits and potentially delaying the progression to dementia. A study by Kelly et al. ( 45 ) indicates an association between general cognition and PC, in which deficits in general cognition are associated with severe deficits in PC. In the current work, the results suggest that when data are evaluated by the time domain analysis method, older women without cognitive impairment may show lower postural oscillations in PC variables, which could indicate better balance compared to women with cognitive impairment, and that this is dependent on the condition tested ( 39 ). However, as already mentioned, some authors point out that an increase in linear values does not always suggest an imbalance ( 8 ). Mancini et al. ( 7 ) state that generally, the higher and faster the frequency of postural sway, the worse the PC. In this study, greater fluctuations indicate worse PC, as they were associated with older women with greater cognitive impairment, which has been pointed out in the literature ( 39 , 45 ). In addition, several studies with older people attribute the greatest oscillation to the worst PC ( 25 , 26 ). Recent studies, such as Ge et al. ( 46 ), support the findings of the present study by demonstrating that cognitive performance plays a crucial role in postural stability, particularly in dual-task conditions. In these scenarios, limited cognitive capacity can hinder the allocation of attentional resources to postural control, increasing instability in older adults with low back pain ( 46 ). Additionally, the findings of Xu et al. ( 47 ) indicate that increased activation of the prefrontal cortex (PFC) during dual-task activities may be a compensatory strategy in older adults with mild cognitive impairment to maintain balance ( 47 ). Specific time-frequency domain analyses, which are important for estimating the contributions of different neural circuits in PC ( 33 ), showed no significant differences in these contributions among older women with different cognitive levels. Regardless of these results, although it was not the objective of this study to compare the different balance conditions, it is possible to observe that the distribution pattern in the frequency bands was different depending on the type of task tested. In the BSEO, BSEC, and BIVR tasks, which are less challenging tasks, the data had a similar distribution pattern when analyzing one task against another. This was also observed among the most challenging tasks, BIUS and UNEO. That is, the behavior pattern of the variables differs according to the type of task analyzed; less challenging and more challenging. These results are interesting and deserve to be explored in further studies with the objective of understanding the contribution of these systems in different balance tasks in older individuals. In the clinical context, the implication of these results is very important, both in decision making and in the interpretation of the individual's behavior. Furthermore, from the results observed, it is possible to discern a pattern of behavior, and this was pointed out by the effect size analyses, even if in some tests, the results did not present statistical significance. The fact that the sample was composed only of older, physically independent women constitutes one of the limitations of this study, as this characteristic prevents the generalization of the results to other populations. Another aspect is that the study did not consider cognitive decline as an inclusion criterion, which made it less likely for older people with more severe cognitive impairments to participate. Despite these limitations, the study presented aspects that were still unexplored in this context, such as the use of the MoCA instrument for the classification of cognitive state and the analysis of the PC using the analysis methods in the time domain and in the time-frequency domain. In addition, understanding these variables in physically independent older people who can participate in exercise programs is extremely important for clinical practice, so that therapeutic approaches are more effective. 5. Conclusion The present study showed that older women with a normal cognitive state, assessed by the MoCA, demonstrate better PC than older women with mild and advanced cognitive impairment, in several variables of PC and in four of the five balance tasks evaluated. In addition, women with mild cognitive impairment demonstrated better PC than those with moderate impairment. These differences were observed using the analysis method in the time domain and not in the time-frequency domain. Abbreviations PC: Postural Control; MoCA: Montreal Cognitive Assessment; NC: Normal Cognition; MCI : Mild Cognitive Impairment; ACI: Advanced Cognitive Impairment; BSEO : Bipedal with Eyes Open; BSEC : Bipedal with Eyes Closed; UNEO : Unipedal; BIUS: Bipedal on Foam; BIVR: Bipedal with Virtual Reality; COP : Center of Pressure; AP: Anteroposterior; ML: Mediolateral; MMSE: Mini Mental State Examination; FES – I: Falls Efficacy Scale International; BMI: Body Mass Index; ES: Effect Size; SPSS: Statistical Package for the Social Sciences; SD: Standard Deviation; CI: Confidence Interval; A-COP: Area of Oscillation of the Center of Pressure; VEL: Mean Oscillation Velocity; A/P: Anteroposterior Direction; M/L: Mediolateral Direction. Declarations Declaration of interests The Authors declare that there is no conflict of interest. Funding This study was partially funded by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) – Brazil, under grant number 88881.187942/2018-01, through the PDSE (Programa de Doutorado Sanduíche no Exterior) – Edital nº 47/2017 – Seleção 2018. Additional financial support for the research was provided by the University Extension Support Program of the Ministry of Education (PROEXT) – Brazil. Author Contribution Camila Pereira: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Data curation, Writing – Original Draft, Writing – Review & Editing, Visualization, Project administration. Bruna Prado Gomes: Conceptualization, Investigation, Data curation, Writing – Review & Editing. Anderson da Silva Honorato: Conceptualization, Investigation, Data curation, Writing – Review & Editing. Fabiana Cristina Scherer: Conceptualization, Investigation, Data curation, Writing – Review & Editing. Alexandre Roberto Marcondes Pelegrinelli: Conceptualization, Formal analysis, Resources, Data curation, Writing – Review & Editing. Emily Claire Smith: Conceptualization, Writing – Review & Editing. Felipe Arruda Moura: Conceptualization, Methodology, Formal analysis, Writing – Review & Editing. Vanessa Suziane Probst: Conceptualization, Methodology, Resources, Writing – Review & Editing, Project administration. Jeff Scott Coombes: Conceptualization, Writing – Review & Editing, Supervision. Rubens Alexandre da Silva: Conceptualization, Methodology, Formal analysis, Writing – Review & Editing, Supervision. Denilson de Castro Teixeira: Conceptualization, Methodology, Investigation, Formal analysis, Investigation, Resources, Data curation, Writing – Original Draft, Writing – Review & Editing, Visualization, Supervision, Project administration, Funding acquisition. Acknowledgement We thank all the research volunteers and all the members of GEPEHAF (Study and Research Group on Human Aging and Physical Activity). Data availability The datasets generated and/or analysed during the current study are part of a broader research project that includes additional ongoing analyses and publications. Therefore, the data are not publicly available at this stage, but are available from the corresponding author upon reasonable request. References Leach JM, Mancini M, Kaye JA, Hayes TL, Horak FB. Day-to-day variability of postural sway and its association with cognitive function in older adults: a pilot study. Front Aging Neurosci. 2018;10:126. 10.3389/fnagi.2018.00126 . Buchman AS, Bennett DA. Loss of motor function in preclinical Alzheimer’s disease. Expert Rev Neurother. 2011;11(5):665–76. 10.1586/ern.11.57 . Hayes TL, Abendroth F, Adami A, Pavel M, Zitzelberger TA, Kaye JA. Unobtrusive assessment of activity patterns associated with mild cognitive impairment. Alzheimers Dement. 2008;4(6):395–405. 10.1016/j.jalz.2008.07.004 . Aggarwal NT, Wilson RS, Beck TL, Bienias JL, Bennett DA. Motor dysfunction in mild cognitive impairment and the risk of incident Alzheimer disease. Arch Neurol. 2006;63(12):1763–9. 10.1001/archneur.63.12.1763 . Park JH, Mancini M, Carlson-Kuhta P, Nutt JG, Horak FB. Quantifying effects of age on balance and gait with inertial sensors in community-dwelling healthy adults. Exp Gerontol. 2016;85:48–58. 10.1016/j.exger.2016.09.018 . Seidler RD, Bernard JA, Burutolu TB, Fling BW, Gordon MT, Gwin JT, et al. Motor control and aging: links to age-related brain structural, functional, and biochemical effects. Neurosci Biobehav Rev. 2010;34(5):721–33. 10.1016/j.neubiorev.2009.10.005 . Mancini M, Nutt JG, Horak FB. How is balance controlled by the nervous system? In: Mancini M, Nutt JG, Horak FB, editors. Balance Dysfunction in Parkinson's Disease. London: Academic; 2020. pp. 1–24. 10.1016/B978-0-12-813874-8.00001-5 . Bernard-Demanze L, Dumitrescu M, Jiménez W, Borel L, Lacour M. Age-related changes in posture control are differentially affected by postural and cognitive task complexity. Curr Aging Sci. 2009;2(2):135–49. 10.2174/1874609810902020135 . Low DC, Walsh GS, Arkesteijn M. Effectiveness of exercise interventions to improve postural control in older adults: a systematic review and meta-analysis of centre of pressure measurements. Sports Med. 2017;47(1):101–12. 10.1007/s40279-016-0559-0 . Oliveira MR, Silva RA, Dascal JB, Teixeira DC. Effect of different types of exercise on postural balance in elderly women: a randomized controlled trial. Arch Gerontol Geriatr. 2014;59(3):506–14. 10.1016/j.archger.2014.08.009 . Lacour M, Bernard-Demanze L, Dumitrescu M. Posture control, aging, and attention resources: models and posture-analysis methods. Neurophysiol Clin. 2008;38(6):411–21. 10.1016/j.neucli.2008.09.005 . MacDonald SW, Nyberg L, Bäckman L. Intra-individual variability in behavior: links to brain structure, neurotransmission and neuronal activity. Trends Neurosci. 2006;29(8):474–80. 10.1016/j.tins.2006.06.011 . Dodge HH, Mattek NC, Austin D, Hayes TL, Kaye JA. In-home walking speeds and variability trajectories associated with mild cognitive impairment. Neurology. 2012;78(24):1946–52. 10.1212/WNL.0b013e318259e1de . Buracchio T, Dodge HH, Howieson D, Wasserman D, Kaye J. The trajectory of gait speed preceding mild cognitive impairment. Arch Neurol. 2010;67(8):980–6. 10.1001/archneurol.2010.159 . Wang L, Larson EB, Bowen JD, van Belle G. Performance-based physical function and future dementia in older people. Arch Intern Med. 2006;166(10):1115–20. 10.1001/archinte.166.10.1115 . Kluger A, Gianutsos JG, Golomb J, Ferris SH, George AE, Franssen E, et al. Patterns of motor impairment in normal aging, mild cognitive decline, and early Alzheimer's disease. J Gerontol B Psychol Sci Soc Sci. 1997;52(1):P28–39. 10.1093/geronb/52b.1.p28 . MacDonald SW, Hultsch DF, Dixon RA. Performance variability is related to change in cognition: evidence from the Victoria Longitudinal Study. Psychol Aging. 2003;18(3):510–23. 10.1037/0882-7974.18.3.510 . Castilho AR, Oliveira MR, Fabrin LF, Souza PEA, Silva RS, Silva RA. Influence of cognitive mental state on postural balance of older people. J Health Sci. 2018;20(3):190–4. 10.17921/2447-8938.2018v20n3p190-194 . Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–83. 10.1016/0021-9681(87)90171-8 . Camargos FF, Dias RC, Dias JM, Freire MT. Cross-cultural adaptation and evaluation of the psychometric properties of the Falls Efficacy Scale-International among elderly Brazilians (FES-I-BRAZIL). Rev Bras Fisioter. 2010;14(3):237–43. 10.1590/S1413-35552010000300010 . Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695–9. 10.1111/j.1532-5415.2005.53221.x . Memória CM, Yassuda MS, Nakano EY, Forlenza OV. Brief screening for mild cognitive impairment: validation of the Brazilian version of the Montreal Cognitive Assessment. Int J Geriatr Psychiatry. 2013;28(1):34–40. 10.1002/gps.3787 . Larner AJ. Effect size (Cohen's d) of cognitive screening instruments examined in pragmatic diagnostic accuracy studies. Dement Geriatr Cogn Disord Extra. 2014;4(2):236–41. 10.1159/000363735 . Pereira C, da Silva RA, de Oliveira MR, Souza RDN, Borges RJ, Vieira ER. Effect of body mass index and fat mass on balance force platform measurements during a one-legged stance in older adults. Aging Clin Exp Res. 2018;30(5):441–7. 10.1007/s40520-017-0796-6 . Silva RA, Pereira C, Oliveira MR, Gil AW. Equilíbrio postural: avaliação e intervenção por meio de exercícios associados às estratégias de controle neuromuscular. Curitiba: CRV; 2017. Oliveira MR, Vieira ER, Gil AWO, Fernandes KBP, Teixeira DC, Amorim CF, da Silva RA. One-legged stance sway of older adults with and without falls. PLoS ONE. 2018;13(9):e0203887. 10.1371/journal.pone.0203887 . Da Silva RA, Bilodeau M, Parreira RB, Teixeira DC, Amorim CF. Age-related differences in time-limit performance and force platform-based balance measures during one-leg stance. J Electromyogr Kinesiol. 2013;23(3):634–9. 10.1016/j.jelekin.2013.01.008 . Baratto L, Morasso PG, Re C, Spada G. A new look at posturographic analysis in the clinical context: sway-density versus other parameterization techniques. Motor Control. 2002;6(3):246–70. 10.1123/mcj.6.3.246 . Ihlen EA, Skjæret N, Vereijken B. The influence of center-of-mass movements on the variation in the structure of human postural sway. J Biomech. 2013;46(3):484–90. 10.1016/j.jbiomech.2012.10.016 . Paillard T, Noé F. Techniques and methods for testing the postural function in healthy and pathological subjects. Biomed Res Int. 2015;2015:891390. 10.1155/2015/891390 . Chagdes JR, Rietdyk S, Haddad JM, Zelaznik HN, Raman A, Rhea CK, et al. Multiple timescales in postural dynamics associated with vision and a secondary task are revealed by wavelet analysis. Exp Brain Res. 2009;197(3):297–310. 10.1007/s00221-009-1915-1 . Foisy A, Gaertner C, Matheron E, Kapoula Z. Controlling posture and vergence eye movements in quiet stance: effects of thin plantar inserts. PLoS ONE. 2015;10(12):e0143693. 10.1371/journal.pone.0143693 . Paillard T, Borel L. Unilateral and bilateral fatiguing contractions similarly alter postural stability but differently modify postural position on bipedal stance. Hum Mov Sci. 2013;32(2):353–62. 10.1016/j.humov.2012.12.001 . Cohen J. A power primer. Psychol Bull. 1992;112(1):155–9. 10.1037/0033-2909.112.1.155 . Morris R, Lord S, Bunce J, Burn D, Rochester L. Gait and cognition: mapping the global and discrete relationships in ageing and neurodegenerative disease. Neurosci Biobehav Rev. 2016;64:326–45. 10.1016/j.neubiorev.2016.02.012 . Pal G, O'Keefe J, Robertson-Dick E, Bernard B, Anderson S, Hall C. Global cognitive function and processing speed are associated with gait and balance dysfunction in Parkinson’s disease. J Neuroeng Rehabil. 2016;13(1):94. 10.1186/s12984-016-0205-y . Delbaere K, Kochan NA, Close JC, Menant JC, Sturnieks DL, Brodaty H, et al. Mild cognitive impairment as a predictor of falls in community-dwelling older people. Am J Geriatr Psychiatry. 2012;20(10):845–53. 10.1097/JGP.0b013e31824afbc4 . Muir SW, Gopaul K, Montero Odasso MM. The role of cognitive impairment in fall risk among older adults: a systematic review and meta-analysis. Age Ageing. 2012;41(3):299–308. 10.1093/ageing/afs012 . Deschamps T, Beauchet O, Annweiler C, Cornu C, Mignardot JB. Postural control and cognitive decline in older adults: position versus velocity implicit motor strategy. Gait Posture. 2014;39(1):628–30. 10.1016/j.gaitpost.2013.07.001 . Szczepańska-Gieracha J, Cieślik B, Chamela-Bilińska D, Kuczyński M. Postural stability of elderly people with cognitive impairments. Am J Alzheimers Dis Other Demen. 2016;31(3):241–6. 10.1177/1533317515602547 . Trzepacz PT, Hochstetler H, Wang S, Walker B, Saykin AJ. Relationship between the Montreal Cognitive Assessment and Mini-mental State Examination for assessment of mild cognitive impairment in older adults. BMC Geriatr. 2015;15:107. 10.1186/s12877-015-0103-3 . Matsuda S, Demura S, Demura T. Examining differences between center of pressure sway in one-legged and two-legged stances for soccer players and typical adults. Percept Mot Skills. 2010;110(3 Pt 1):751–60. 10.2466/pms.110.3.751-760 . Mignardot JB, Beauchet O, Annweiler C, Cornu C, Deschamps T. Postural sway, falls, and cognitive status: a cross-sectional study among older adults. J Alzheimers Dis. 2014;41(2):431–9. 10.3233/JAD-132657 . Bahureksa L, Najafi B, Saleh A, Sabbagh M, Coon D, Mohler MJ, et al. The impact of mild cognitive impairment on gait and balance: a systematic review and meta-analysis of studies using instrumented assessment. Gerontology. 2017;63(1):67–83. 10.1159/000445831 . Kelly VE, Johnson CO, McGough EL, Shumway-Cook A, Horak FB, Chung KA, et al. Association of cognitive domains with postural instability/gait disturbance in Parkinson’s disease. Parkinsonism Relat Disord. 2015;21(6):692–7. 10.1016/j.parkreldis.2015.04.002 . Ge L, Yu Q, Wang C, Huang H, Li X, Zhang S, et al. How cognitive loads modulate the postural control of older women with low back pain? BMC Geriatr. 2021;21(1):82. 10.1186/s12877-021-02025-z . Xu G, Zhou M, Chen Y, Song Q, Sun W, Wang J. Brain activation during standing balance control in dual-task paradigm and its correlation among older adults with mild cognitive impairment: a fNIRS study. BMC Geriatr. 2024;24(1):144. 10.1186/s12877-024-04772-1 . Additional Declarations No competing interests reported. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6946491","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":493055441,"identity":"28a7e903-5997-4805-9b31-553ec2405b76","order_by":0,"name":"Camila Pereira","email":"data:image/png;base64,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","orcid":"","institution":"Londrina State University","correspondingAuthor":true,"prefix":"","firstName":"Camila","middleName":"","lastName":"Pereira","suffix":""},{"id":493055442,"identity":"ed2bb0ec-683b-49dd-ae8d-811db753b5f4","order_by":1,"name":"Bruna Prado Gomes","email":"","orcid":"","institution":"Londrina State University","correspondingAuthor":false,"prefix":"","firstName":"Bruna","middleName":"Prado","lastName":"Gomes","suffix":""},{"id":493055444,"identity":"8c745dce-3653-4930-942d-1b89d2db87a8","order_by":2,"name":"Anderson da Silva Honorato","email":"","orcid":"","institution":"Federal Institute of Santa Catarina - Câmpus São José","correspondingAuthor":false,"prefix":"","firstName":"Anderson","middleName":"da Silva","lastName":"Honorato","suffix":""},{"id":493055445,"identity":"fcb473fd-abc8-403d-acbb-982f91a632e6","order_by":3,"name":"Fabiana Cristina Scherer","email":"","orcid":"","institution":"Londrina State University","correspondingAuthor":false,"prefix":"","firstName":"Fabiana","middleName":"Cristina","lastName":"Scherer","suffix":""},{"id":493055446,"identity":"70cd78dc-d2e9-422c-bf50-4447ddcb9420","order_by":4,"name":"Alexandre Roberto Marcondes Pelegrinelli","email":"","orcid":"","institution":"Londrina State University","correspondingAuthor":false,"prefix":"","firstName":"Alexandre","middleName":"Roberto Marcondes","lastName":"Pelegrinelli","suffix":""},{"id":493055447,"identity":"dff95531-6399-4f4f-8977-746e6a986b3b","order_by":5,"name":"Emily Claire Smith","email":"","orcid":"","institution":"University of Queensland","correspondingAuthor":false,"prefix":"","firstName":"Emily","middleName":"Claire","lastName":"Smith","suffix":""},{"id":493055448,"identity":"9bb5d356-5367-40a4-96c7-e4154b0ceed3","order_by":6,"name":"Felipe Arruda Moura","email":"","orcid":"","institution":"Londrina State University","correspondingAuthor":false,"prefix":"","firstName":"Felipe","middleName":"Arruda","lastName":"Moura","suffix":""},{"id":493055449,"identity":"177cde51-e230-46d9-9e0d-a060f63880e9","order_by":7,"name":"Vanessa Suziane Probst","email":"","orcid":"","institution":"Londrina State University","correspondingAuthor":false,"prefix":"","firstName":"Vanessa","middleName":"Suziane","lastName":"Probst","suffix":""},{"id":493055450,"identity":"9f72e1a1-1dd3-47fe-9cb3-99fb9e900e74","order_by":8,"name":"Jeff Scott Coombes","email":"","orcid":"","institution":"University of Queensland","correspondingAuthor":false,"prefix":"","firstName":"Jeff","middleName":"Scott","lastName":"Coombes","suffix":""},{"id":493055451,"identity":"45f5ff19-640a-4927-9e5f-f3bcb3f6002b","order_by":9,"name":"Rubens Alexandre da Silva","email":"","orcid":"","institution":"Université du Québec à Chicoutimi","correspondingAuthor":false,"prefix":"","firstName":"Rubens","middleName":"Alexandre da","lastName":"Silva","suffix":""},{"id":493055452,"identity":"c468352a-ffb9-4df1-95dc-b2ba0205fa29","order_by":10,"name":"Denilson de Castro Teixeira","email":"","orcid":"","institution":"Londrina State University","correspondingAuthor":false,"prefix":"","firstName":"Denilson","middleName":"de Castro","lastName":"Teixeira","suffix":""}],"badges":[],"createdAt":"2025-06-21 18:38:08","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6946491/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6946491/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s12877-026-06982-1","type":"published","date":"2026-01-19T15:57:11+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":101151835,"identity":"f886f286-d4aa-4313-886d-1d6778e07fe9","added_by":"auto","created_at":"2026-01-26 16:06:33","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2395511,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6946491/v1/3817c94c-a79b-4e08-9d9b-8ac7f005a3b6.pdf"},{"id":88035787,"identity":"aa6eef8c-64b3-442b-bd1f-5a690305b074","added_by":"auto","created_at":"2025-07-31 16:17:57","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":117747,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryMaterial1STRUCTUREDDIAGNOSTICINTERVIEWFORM.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6946491/v1/b7b2501a446e3796baf67e72.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Influence of Cognitive Function on Postural Control in Physically Independent Older Women: A Time and Time-Frequency Domain Analysis","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eThe relationship between cognition and motor function has aroused significant interest; some studies have shown changes in motor function in the early stages of cognitive decline (\u003cspan additionalcitationids=\"CR2 CR3\" citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e). Given this, postural control (PC) may vary among older people with different levels of cognitive performance. Thus, if a change in neural postural control is associated with age-related alterations in cognitive control, it is likely that these postural and cognitive functions share the same circuits or mechanisms (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eSome studies have shown that when cognitive exercises are added to balance training, the results are better than when performing balance training in isolation (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e). However, although this type of intervention presents better results, the behavior of PC in older people with different levels of cognitive impairment is still little explored, especially when simple instruments, such as questionnaires, track cognition.\u003c/p\u003e\u003cp\u003ePC is usually evaluated with a force platform in different balance conditions, which may or may not be in usual conditions, and can also be analyzed in the time domain and time-frequency domain. The most used method is the analysis in the time domain, or the linear method; however, some authors (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e) point out that an increase in linear values does not always suggest an imbalance but may reflect a strategy of some individuals to explore their support base, being more flexible. Other authors (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e), however, describe this increase in linear values as a postural imbalance. In view of this, there are still gaps in the understanding of the changes in PC. Thus, other ways to analyze PC data could aid in understanding the results. Another method, non-linear, which analyzes PC in the time-frequency domain, is an interesting method since, in addition to pointing out at which frequency (low, medium, or high) individuals remain longer, it is possible to infer which system or systems are contributing more effectively to the individual's PC (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eAccording to MACDONALD et al. (\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e), an increase in cognitive and motor variability usually occurs before the clinical manifestations of functional decline. Given that changes in motor function precede changes in cognition in older adults (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e), PC monitoring could produce early detection of progressive motor decline and thus predict cognitive decline in the older population (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eCastilho et al. (\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e) carried out a study comparing the PC of older people with different levels of cognition, evaluated by the Mini Mental State Examination (MMSE), but they did not identify statistically significant differences. The MoCA (Montreal Cognitive Assessment) is a questionnaire that also analyzes cognitive impairment and seems to present greater sensitivity for screening cognitive decline compared to the MMSE. Thus, a study using this instrument to assess cognition could point to better results in the comparison of PC in older adults.\u003c/p\u003e\u003cp\u003eAlthough cognitive dysfunction is associated with an increased risk of falls (\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e), there is little information about alterations in PC during the early stages of cognitive decline (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e). In addition, there is little information on whether the time domain and time-frequency domain analysis methods of PC can discriminate these differences at different levels of cognitive decline. Therefore, the objective of the present study was to analyze whether cognition can influence the PC of physically independent older women, using the methods of PC analysis in the time domain and in the time-frequency domain, in five postural balance tasks.\u003c/p\u003e"},{"header":"2. Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003e2.1. Study Design\u003c/h2\u003e\u003cp\u003eThis is a cross-sectional, non-randomized controlled trial conducted in Londrina, Paran\u0026aacute;, Brazil, between August and November 2018. The study was approved by the Ethics Committee for Research Involving Human Beings of the State University of Londrina (approval number: 2.788.802).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\u003ch2\u003e2.2. Sample\u003c/h2\u003e\u003cp\u003eTwo hundred and seventy-three older women residing in the local community applied to participate in this study. Of these, 129 met the eligibility criteria. Inclusion criteria were: being 60 years of age or older, being physically independent, and not having participated in a supervised physical exercise program in the previous three months. Older women who used prostheses and orthoses and those who had decompensated diseases that prevented them from participating in the evaluations were excluded from the study.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e\u003ch2\u003e2.3. Instruments and Procedures\u003c/h2\u003e\u003cp\u003eThe characteristics of the participants were compiled using questionnaires and anthropometric assessments. Sociodemographic and health-related information was collected using a structured diagnostic interview form specifically developed by the research team for this study. The full English version of the instrument is provided as \u003cem\u003eSupplementary Material 1\u003c/em\u003e. The presence of comorbidities was evaluated by the Charlson index (\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e), and the fear of falling was evaluated by the Falls Efficacy Scale International (FES-I), validated for the Brazilian population by Camargos (\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e). The anthropometric characteristics evaluated were mass (kg), body height (m), and the Body Mass Index (BMI) (kg/m\u0026sup2;), using a digital reading scale with a stadiometer, Balmak brand, Class III model (S\u0026atilde;o Paulo, Brazil), with a scale of 0.1 kg.\u003c/p\u003e\u003cp\u003eTo assess the cognitive state, the MoCA instrument was used (Montreal Cognitive Assessment) (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e), developed as a brief instrument for screening cognitive impairment. At the time of data collection (August to November 2018), the use of the MoCA instrument did not require a license for academic research. This instrument has high sensitivity (81%) and specificity (77%) to detect mild intellectual impairment in Brazilian older adults (\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e). The MoCA assesses eight cognitive domains, which are scored in a range of 0 to 30 points (higher scores indicating better function): short-term memory, naming, visuospatial skills, executive function, attention, concentration, working memory, and orientation to time and space. To correct for the educational effects found in the original study, an additional point was given to individuals with 12 or fewer years of schooling, following the authors' instructions. Older adults with a score\u0026thinsp;\u0026ge;\u0026thinsp;26 are considered to have normal cognition (NC), with scores between 25 and 19 points indicating mild cognitive impairment (MCI), and older adults with a score\u0026thinsp;\u0026lt;\u0026thinsp;19 indicating moderate or advanced cognitive impairment (ACI) (\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e).\u003c/p\u003e\u003cp\u003ePC was evaluated using a force plate. The participants were initially familiarized with the equipment and the tasks to be performed on the platform. For familiarization, each patient was individually oriented about the equipment and how the assessment would be performed, as well as the positions for each tested balance condition. Thus, before each condition, the evaluator demonstrated the position to the patient who then tried the position on the platform. After familiarization with the instrument and experimental protocol, participants performed five postural balance tasks on the force platform (EMG SYSTEM \u0026ndash;BIOMEC 400): 1) bipedal support with eyes open - BSEO; 2) bipedal support with eyes closed - BSEC; 3) unipedal support, with the preferred lower limb and with eyes open - UNEO (\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e); 4) bipedal support on a foam surface with eyes open BIUS; and 5) bipedal support using semi-immersive Virtual Reality goggles - BIVR. In this last balance condition, the participants wore virtual reality glasses, with a video simulating the moment when a person is waiting to cross a busy street, with some visual and auditory disturbances from the reality of daily life. A Samsung brand (J5) cell phone device was used, attached to an Eken Pano Live I 360 Degree camera, Android VR 360\u0026ordm;. The virtual reality glasses were GoalPro Gear VR 3D 360\u0026deg; vision for Android and iOS. All balance conditions were performed in a standardized way, with markings for the positioning of the feet. For each task on the force platform, two 30-second attempts were performed, with a 30-second rest between them, and the mean of the attempts was used for the statistical analysis (\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eThe protocol was standardized for each task: bare feet, foot position standardized, arms loose and relaxed at the sides of the body and with the cephalic segment positioned horizontally to the ground. For the condition involving eyes open (tasks 1, 3 and 4), each participant directed their gaze to a fixed target (black cross\u0026thinsp;=\u0026thinsp;14.5 cm high x 14.5 cm wide x 4 cm thick), positioned on the wall at eye level, at 2.5 meters.\u003c/p\u003e\u003cp\u003eFor the analysis of the PC with the time domain method, the ground reaction force signals from the platform measurements were collected, sampling at 100 Hz. All force signals were filtered with a second-order \u003cem\u003eButterwort\u003c/em\u003eh low-pass filter at 35 Hz. The signals were then converted by means of stabilographic analysis, through the software EMGLab2 (EMG System). In the stabilographic analysis of the COP (center of pressure) data, the main PC parameters were calculated with the force platform: 95% COP ellipse area (A-COP in cm\u003csup\u003e2\u003c/sup\u003e), mean velocity (VEL in cm/s) in the anteroposterior (A/P) and mediolateral (M/L) directions (\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eFor the analysis by the method in the time-frequency domain, the \u003cem\u003ewavebands\u003c/em\u003e technique (frequency bands) was employed. The global technique numerically expresses the size of the oscillation patterns, in the time or frequency domains (\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e) and COP variables with higher frequencies suggest worse PC (\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e). COP analyses using wavebands provide information on signal amplitude at different frequency contents, which allows the overall signal to be separated into physiological components (e.g., visual, vestibular, and proprioceptive) (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e). Furthermore, the COP signal is not stationary (i.e., frequencies are not evenly distributed over time); therefore, time and frequency analysis are more appropriate than traditional methods in the frequency domain, for example, Fast Fourier Transform; (\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e). Some authors have related wavebands with specific neural systems involved in PC (\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eThe wavebands adopted were 0.05\u0026ndash;0.5 Hz (low frequencies), 0.5\u0026ndash;1.5 Hz (medium frequencies), and 1.5\u0026ndash;10 Hz (high frequencies). These bands in the time-frequency domain are considered to correspond to the use of different PC mechanisms; the first band (low frequencies) is related to the visual-vestibular system, the second to the cerebellar system, and the third to the proprioceptive system (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e). Results are presented as percentages of the integral time of the entire signal for each band for the AP (anteroposterior) and ML (mediolateral) displacement.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e\u003ch2\u003e2.4. Statistical Analysis\u003c/h2\u003e\u003cp\u003eInitially, the older women were classified based on their cognitive performance according to the MoCA parameters: normal cognition (NC), mild cognitive impairment (MCI), and advanced cognitive impairment (ACI). Subsequently, the normality of the data was tested using the Shapiro-Wilk test. Descriptive results are presented as mean and standard deviation for parametric data, and as median and interquartile range for non-parametric data. To verify the differences between the groups in the study variables, a one-way analysis of variance (one-way ANOVA) was performed with Sidak's Post Hoc. Before performing the ANOVA, Levene's test of homogeneity of variances was performed. Data that were not homogeneous were transformed to log base 10. The effect size (ES) used was the partial eta squared. An ES\u0026thinsp;\u0026lt;\u0026thinsp;0.01 was considered insignificant (trivial), an ES of \u0026ge;\u0026thinsp;0.01 to \u0026lt;\u0026thinsp;0.06 as a small effect size, from \u0026ge;\u0026thinsp;0.06 to \u0026lt;\u0026thinsp;0.14 as a moderate effect size, and an ES\u0026thinsp;\u0026ge;\u0026thinsp;0.14 as a large effect size (\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e). The significance level adopted was 5%. The data were analyzed using the software Statistical Package for the Social Sciences (SPSS) 24.0.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\u003ch2\u003e2.5. Ethical Considerations\u003c/h2\u003e\u003cp\u003eThis study was a non-randomized controlled trial, registered in the Brazilian Registry of Clinical Trials (ReBEC) under the number RBR-2hjj7g (UTN: U1111-1254-3147). The sample was selected through non-probabilistic convenience sampling, including 129 physically independent older women recruited from social media, community health centers, and local outreach in Londrina, Brazil. The study was approved by the Ethics Committee for Research Involving Human Beings of the State University of Londrina (approval number: 2.788.802) and was conducted in accordance with the ethical standards of the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. All participants received verbal and written information regarding the study objectives and procedures and signed an informed consent form prior to participation.\u003c/p\u003e\u003c/div\u003e"},{"header":"3. Results","content":"\u003cp\u003eTable 1 presents the characteristics of the participants in general, separated by cognitive state. The classification indicated that 17% of the older women presented NC, 52.7% presented MCI, and 30.2% presented ACI. The three groups showed similar baseline characteristics, except for the MoCA variable, in which the three groups differed from each other. \u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"586\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 129px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal (n=129)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNC (n=22)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMCI (n=68)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eACI (n=39)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 129px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAge\u0026nbsp;\u003c/strong\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCwAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgALAA0AhAAAAAAAAAAAOgAAZgA6ZgBmtjoAADpmZjqQ22YAAGa2/5A6AJC225Db/7ZmALb//9uQOv+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwU+IEAlQWkGBaCubOsCjjk8UDlXS4kAuMCoo8BMYlCwIiVC0VVDvYgBQaOFOxiEjxUuhXQCJjkjTgfIYZvRRggAOw==\" alt=\"image\"\u003e\u003cstrong\u003e\u0026nbsp;(SD)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e69.0 (12.0)#\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e67.9 (6.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e70.0 (9.0)#\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e71.0 (14.0)#\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e0.222\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 129px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBMI\u0026nbsp;\u003c/strong\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCwAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgALAA0AhAAAAAAAAAAAOgAAZgA6ZgBmtjoAADpmZjqQ22YAAGa2/5A6AJC225Db/7ZmALb//9uQOv+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwU+IEAlQWkGBaCubOsCjjk8UDlXS4kAuMCoo8BMYlCwIiVC0VVDvYgBQaOFOxiEjxUuhXQCJjkjTgfIYZvRRggAOw==\" alt=\"image\"\u003e\u003cstrong\u003e\u0026nbsp;(SD)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e28.3 (6.3)#\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e30.0 (4.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e28.3 (6.5)#\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e27.6 (4.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e0.208\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 129px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCharlson I\u003c/strong\u003e\u003cimg width=\"10\" height=\"17\" src=\"data:image/png;base64,R0lGODlhDwAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMABgAMAA0AhAAAAAAAAAAAOgAAZgA6ZgBmtjoAADpmZjqQ22YAAGa2/5A6AJC225Db/7ZmALb//9uQOv+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwU/IABQSWCeQSGubOu2zjk8kDkD1WIi+CIwK1JgJjEoWhETwfiqpV6AYkDQcOUOhuGDlVMln6KJ7pjb9Wy0EzUEADs=\" alt=\"image\"\u003e\u003cstrong\u003e\u0026nbsp;(SD)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1.0 (2.0)#\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e3.0 (2.0)#\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e3.0 (1.0)#\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e3.0 (2.0)#\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e0.523\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 129px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFES-I\u0026nbsp;\u003c/strong\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCwAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgALAA0AhAAAAAAAAAAAOgAAZgA6ZgBmtjoAADpmZjqQ22YAAGa2/5A6AJC225Db/7ZmALb//9uQOv+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwU+IEAlQWkGBaCubOsCjjk8UDlXS4kAuMCoo8BMYlCwIiVC0VVDvYgBQaOFOxiEjxUuhXQCJjkjTgfIYZvRRggAOw==\" alt=\"image\"\u003e\u003cstrong\u003e\u0026nbsp;(SD)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e25.0 (10.0)#\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e22.5 (11.0)#\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e25.0 (10.0)#\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e26.0 (8.0)#\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e0.613\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 129px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMoCA\u003c/strong\u003e\u003cimg width=\"10\" height=\"17\" src=\"data:image/png;base64,R0lGODlhDwAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEABgAOAA0AhAAAAAAAAAAAOgAAZgA6ZgBmtjoAADpmZjqQ22YAAGa2/5A6AJC225Db/7ZmALb//9uQOv+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwVCIJUEZGkqQKqubOuuTjk8EDmr1UIiQC4wLFFgJjGgWhESwfgC1AKFJqAYEDReuYNh+Gjlokkoa6JD5XY4HfdZbYQAADs=\" alt=\"image\"\u003e\u003cstrong\u003e\u0026nbsp;(SD)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e21.0 (7.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e28.0 (3.0)#\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e22.0 (4.0)#\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e16.0 (3.0)#\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003csup\u003ea,b\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1.\u0026nbsp;\u003c/strong\u003eCharacteristics of the MoCA cut-off point classification groups.\u003c/p\u003e\n\u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCgAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgAKAA0AhAAAAAAAAAAAOgA6kABmtjoAADoAOjpmZjqQ22YAAGY6Oma222a2/5A6AJDb/7ZmALZmOtuQOtv///+2Zv/bkP//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwU7YJUEZBkQQKqubOumUclYDckAMZJShqM+AkdF4VPRBIobi1IYSFqQQwG1gugmAR3MmXoEFoBaFldChAAAOw==\" alt=\"image\"\u003e (SD): mean (standard deviation) of the parametric results, # non-parametric results presented as median (interquartile range), BMI: body mass index; FES-I: Falls Efficacy Scale - International; MoCA: \u003cem\u003eMontreal Cognitive Assessment;\u0026nbsp;\u003c/em\u003eNC: normal cognition; MCI: mild cognitive impairment; ACI: advanced cognitive impairment. \u003csup\u003ea\u003c/sup\u003e NC different from MCI and ACI; \u003csup\u003eb\u003c/sup\u003e MCI different from ACI.\u003c/p\u003e\n\u003cp\u003eTable 2 presents the differences in the PC variables between the three groups. The results indicate that the NC group presented significantly lower postural oscillations in the variables Vel A/P and Vel M/L, compared to the other groups in the BSEO condition (p\u0026lt;0.05). In the BSEC condition, a statistically significant difference was also found in the variable Vel A/P, where the NC group had lower postural oscillations compared to the other groups (p=0.01). In the UNEO condition, no significant differences were observed between the groups. In the BIUS condition, statistically significant differences were observed in all PC variables (p\u0026lt;0.05), indicating that the NC group presented lower postural oscillations compared to the other groups. In the BIVR condition, statistically significant differences were also found between the MCI and ACI groups, with the MCI group showing less postural sway in the variables Vel A/P and M/L (p=0.01) compared to the ACI group.\u003c/p\u003e\n\u003cp\u003eRegarding the clinical relevance and\u0026nbsp;effect size, shown in Table 3, it can be observed that there was an increase in percentage values in almost all variables, indicating that, although some comparisons did not show statistically significant differences, when considering PC in different cognitive states, there was clinical relevance, and individuals with a better cognitive state showed better PC, with effect sizes ranging from small to moderate.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2.\u003c/strong\u003e Comparison of postural control among older women with different levels of cognition, according to the MoCA classification, by one-way ANOVA.\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"879\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCgAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgAKAA0AhAAAAAAAAAAAOgA6kABmtjoAADoAOjpmZjqQ22YAAGY6Oma222a2/5A6AJDb/7ZmALZmOtuQOtv///+2Zv/bkP//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwU7YJUEZBkQQKqubOumUclYDckAMZJShqM+AkdF4VPRBIobi1IYSFqQQwG1gugmAR3MmXoEFoBaFldChAAAOw==\" alt=\"image\"\u003e\u0026nbsp;(95 % CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNC GROUP\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCgAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgAKAA0AhAAAAAAAAAAAOgA6kABmtjoAADoAOjpmZjqQ22YAAGY6Oma222a2/5A6AJDb/7ZmALZmOtuQOtv///+2Zv/bkP//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwU7YJUEZBkQQKqubOumUclYDckAMZJShqM+AkdF4VPRBIobi1IYSFqQQwG1gugmAR3MmXoEFoBaFldChAAAOw==\" alt=\"image\"\u003e\u0026nbsp;(95 % CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; MCI GROUP\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCgAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgAKAA0AhAAAAAAAAAAAOgA6kABmtjoAADoAOjpmZjqQ22YAAGY6Oma222a2/5A6AJDb/7ZmALZmOtuQOtv///+2Zv/bkP//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwU7YJUEZBkQQKqubOumUclYDckAMZJShqM+AkdF4VPRBIobi1IYSFqQQwG1gugmAR3MmXoEFoBaFldChAAAOw==\" alt=\"image\"\u003e\u0026nbsp;(95 % CI)\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; ACI GROUP\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCgAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgAKAA0AhAAAAAAAAAAAOgA6kABmtjoAADoAOjpmZjqQ22YAAGY6Oma222a2/5A6AJDb/7ZmALZmOtuQOtv///+2Zv/bkP//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwU7YJUEZBkQQKqubOumUclYDckAMZJShqM+AkdF4VPRBIobi1IYSFqQQwG1gugmAR3MmXoEFoBaFldChAAAOw==\" alt=\"image\"\u003e\u0026nbsp;(95 % CI)\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; F Value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP Value\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 879px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBSEO- BIPODAL WITH EYES OPEN\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 129\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 68\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 39\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eA-COP (cm\u0026sup2;)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.17 (1.04-1.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.31 (0,97-1,65)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.16 (0,97-1.35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e1.40 (1.15-1.65)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e1.347\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e0.264\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel A/P (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.74 (1.69-1.79)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.69 (1.59-1.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.78 (1.72-1.84)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e1.88 (1.80-1.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e5.825\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.004\u003csup\u003ea\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel M/L (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.53 (1.48-1.58)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.46 (1.36-1.55)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.53 (1.48-1.59)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e1.63 (1.56-1.71)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e6.180\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.003\u003csup\u003e\u0026nbsp;a\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 879px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBSEC- BIPODAL WITH EYES CLOSED\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 129\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 68\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 39\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eA-COP (cm\u0026sup2;)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.40 (1.21-1.59)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.63 (1.18-2.07)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.38 (1.13-1.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e1.65 (1.32-1.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e1.032\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e0.359\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel A/P (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.90 (1.84-1.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.86 (1.69-2.03)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.96 (1.87-2.06)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e2.06 (1.93-2.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e2.961\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e0.055\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel M/L (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.55 (1.50-1.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.49 (1.39-1.57)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.55 (1.49-1.61)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e1.63 (1.55-1.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e4.192\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.017\u003csup\u003e\u0026nbsp;a\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 879px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eUNEO- UNIPEDAL WITH EYES OPEN\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 103\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 18\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 55\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 30\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eA-COP (cm\u0026sup2;)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e11.68 (10.72-12.65)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e11.09 (8.75-13.42)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e12.07 (10.74-13.39)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e11.34 (9.54-13.13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.471\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e0.625\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel A/P (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e3.37 (3.21-3.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e3.28 (2.90-3.65)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e3.42 (3.21-3.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e3.33 (3.04-3.62)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.489\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e0.615\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel M/L (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e4.04 (3.89-4.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e3.93 (3.57-4.29)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e4.04 (3.84-4.25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e4.12 (3.84-4.39)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.740\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e0.480\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 879px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBIUS- BIPODAL WITH EYES OPEN AND ON \u0026nbsp;FOAM\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 129\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 68\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 39\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eA-COP (cm\u0026sup2;)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e4.48 (3.76-5.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e4.32 (2.90-5.73)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e4.17 (3.37-4.97)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e6.17 (5.11-7.22)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e5.851\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.004\u003csup\u003eb\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel A/P (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e2.07 (1.99-2.14)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e2.05 (1.84-2.26)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e2.18 (2.06-2.30)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e2.35 (2.20-2.51)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e4.632\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.011\u003csup\u003e\u0026nbsp;a\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel M/L (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.62 (1.56-1.67)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.53 (1.42-1.64)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.63 (1.57-1.69)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e1.71 (1.64-1.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e5.508\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.005\u003csup\u003e\u0026nbsp;a\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e(Continued)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2.\u003c/strong\u003e Comparison of postural control among older women with different levels of cognition, according to the MoCA classification, by one-way ANOVA.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(Continuation)\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"886\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCgAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgAKAA0AhAAAAAAAAAAAOgA6kABmtjoAADoAOjpmZjqQ22YAAGY6Oma222a2/5A6AJDb/7ZmALZmOtuQOtv///+2Zv/bkP//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwU7YJUEZBkQQKqubOumUclYDckAMZJShqM+AkdF4VPRBIobi1IYSFqQQwG1gugmAR3MmXoEFoBaFldChAAAOw==\" alt=\"image\"\u003e\u0026nbsp;(95 % CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNC GROUP\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCgAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgAKAA0AhAAAAAAAAAAAOgA6kABmtjoAADoAOjpmZjqQ22YAAGY6Oma222a2/5A6AJDb/7ZmALZmOtuQOtv///+2Zv/bkP//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwU7YJUEZBkQQKqubOumUclYDckAMZJShqM+AkdF4VPRBIobi1IYSFqQQwG1gugmAR3MmXoEFoBaFldChAAAOw==\" alt=\"image\"\u003e\u0026nbsp;(95 % CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; MCI GROUP\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCgAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgAKAA0AhAAAAAAAAAAAOgA6kABmtjoAADoAOjpmZjqQ22YAAGY6Oma222a2/5A6AJDb/7ZmALZmOtuQOtv///+2Zv/bkP//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwU7YJUEZBkQQKqubOumUclYDckAMZJShqM+AkdF4VPRBIobi1IYSFqQQwG1gugmAR3MmXoEFoBaFldChAAAOw==\" alt=\"image\"\u003e\u0026nbsp;(95 % CI)\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; ACI GROUP\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCgAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgAKAA0AhAAAAAAAAAAAOgA6kABmtjoAADoAOjpmZjqQ22YAAGY6Oma222a2/5A6AJDb/7ZmALZmOtuQOtv///+2Zv/bkP//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwU7YJUEZBkQQKqubOumUclYDckAMZJShqM+AkdF4VPRBIobi1IYSFqQQwG1gugmAR3MmXoEFoBaFldChAAAOw==\" alt=\"image\"\u003e\u0026nbsp;(95 % CI)\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; F Value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 91px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP Value\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 886px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBIVR- BIPODAL WITH VIRTUAL REALITY\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 129\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 68\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 39\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 91px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eA-COP (cm\u0026sup2;)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.00 (0.88-1.12)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.21 (0.83-1.59)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e0.95 (0.74-1.16)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e1.34 (1.05-1.62)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e2.725\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 91px;\"\u003e\n \u003cp\u003e0.069\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel A/P (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.76 (1.71-1.82)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.76 (1.58-1.94)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.79 (1.68-1.89)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e1.98 (1.85-2.11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e4.431\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 91px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.014\u003csup\u003eb\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel M/L (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.51 (1.46-1.56)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.46 (1.36-1.56)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.51 (1.46-1.57)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e1.60 (1.53-1.68)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e4.446\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 91px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.014\u003csup\u003ec\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCgAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgAKAA0AhAAAAAAAAAAAOgA6kABmtjoAADoAOjpmZjqQ22YAAGY6Oma222a2/5A6AJDb/7ZmALZmOtuQOtv///+2Zv/bkP//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwU7YJUEZBkQQKqubOumUclYDckAMZJShqM+AkdF4VPRBIobi1IYSFqQQwG1gugmAR3MmXoEFoBaFldChAAAOw==\" alt=\"image\"\u003e\u0026nbsp;(95% CI): mean (95% confidence interval); NC: normal cognition; MCI: mild cognitive impairment; ACI: advanced cognitive impairment; A-COP: area of oscillation of the center of pressure, presented in centimeters squared (cm\u0026sup2;); Vel: mean oscillation velocity of the center of pressure in the A/P: anteroposterior and M/L: mediolateral directions, presented in centimeters per second (cm/s).\u003c/p\u003e\n\u003cp\u003eResults with statistical significance are shown in bold.\u003c/p\u003e\n\u003cp\u003e\u003csup\u003ea\u003c/sup\u003e NC different from MCI and ACI; \u003csup\u003eb\u003c/sup\u003e MCI different from ACI; \u003csup\u003ec\u0026nbsp;\u003c/sup\u003eNC different from ACI.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3.\u0026nbsp;\u003c/strong\u003eClinical differences and Effect size of the comparison of postural control among older women with different levels of cognition, according to the MoCA classification, by one-way ANOVA.\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"873\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\u003cstrong\u003e\u003cbr\u003e\u0026nbsp;\u003c/strong\u003e\u0026nbsp;\u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMCI x NC\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eGROUP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eACI x MCI\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eGROUP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eACI x NC\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eGROUP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eES\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003ePartial Eta Squared\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eES\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;interpretation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBSEO- BIPODAL WITH EYES OPEN\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 68\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 39\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eA-COP (cm\u0026sup2;)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026lt;1.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u0026gt;20.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026gt;6.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel A/P (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026gt;5.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u0026gt;5.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026gt;11,2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eModerate\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel M/L (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026gt;4.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u0026gt;6.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026gt;11.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eModerate\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBSEC- BIPODAL WITH EYES CLOSED\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 68\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 39\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eA-COP (cm\u0026sup2;)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026lt;15.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u0026gt;19.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026gt;1.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel A/P (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026gt;5.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u0026gt;5.10%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026gt;10.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel M/L (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026gt;4.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u0026gt;5.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026gt;9.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eModerate\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eUNEO- UNIPEDAL WITH EYES OPEN\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 18\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 55\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 30\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eA-COP (cm\u0026sup2;)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026gt;8.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u0026lt;6.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026gt;2.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel A/P (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026gt;4.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u0026lt;2.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026gt;1.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel M/L (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026gt;2.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u0026gt;2.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026gt;4.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBIUS- BIPODAL WITH EYES OPEN AND ON FOAM\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 68\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 39\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eA-COP (cm\u0026sup2;)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026lt;3.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u0026gt;48.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026gt;42.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eTrivial\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel A/P (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026gt;6.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u0026gt;7.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026gt;14.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eModerate\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel M/L (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026gt;6.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u0026gt;4.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026gt;11.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eModerate\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e(Continued)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3.\u0026nbsp;\u003c/strong\u003eClinical differences and Effect size of the comparison of postural control among older women with different levels of cognition, according to the MoCA classification, by one-way ANOVA.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(Continuation)\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"873\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\u003cstrong\u003e\u003cbr\u003e\u0026nbsp;\u003c/strong\u003e\u0026nbsp;\u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMCI x NC\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eGROUP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eACI x MCI\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eGROUP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eACI x NC\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eGROUP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eES\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003ePartial Eta Squared\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eES\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;interpretation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;BIVR- \u0026nbsp;BIPODAL WITH VIRTUAL REALITY\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 68\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 39\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eA-COP (cm\u0026sup2;)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026lt;21.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u0026gt;41.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026gt;10.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel A/P (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026gt;1.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u0026gt;10.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026gt;12.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eModerate\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 131px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVel M/L (cm/s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026gt;3.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003e\u0026gt;6.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026gt;9.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eModerate\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eNC: normal cognition; MCI: mild cognitive impairment; ACI: advanced cognitive impairment; A-COP: area of oscillation of the center of pressure, presented in centimeters squared (cm\u0026sup2;); Vel: mean velocity of oscillation of the center of pressure in the A/P: anteroposterior and M/L: mediolateral directions, presented in centimeters per second (cm/s).\u003c/p\u003e\n\u003cp\u003eThe results of the comparisons of the PC variables in the time-frequency domain, shown in Table 4, indicated that there were no statistically significant differences in any of the variables or in any of the analyzed balance conditions. In general, the older women, regardless of their cognitive classification, showed similar patterns in the frequency band distribution in the BSEO, BSEC, and BIVR tasks. In the AP deviation, the frequency distribution pattern of the PC signal amplitude was 57 to 61% in low frequency, 23 to 27% in medium frequency and 14 to 15% in high frequency. In the ML displacement, the three frequency divisions were similar, ranging from 29 to 38% each. In the BIUS and UNEO conditions, which are more challenging tasks, the distribution pattern was similar in the AP and ML displacements, with a signal time percentage of 42 to 53 in the low frequencies, followed by 30 to 38% in the medium frequencies, and 13 to 20% at high frequencies. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eRegarding the clinical relevance and effect size, shown in Table 5, it can be observed that there was an increase in percentage values in almost all variables, indicating that although some comparisons did not have statistically significant differences, in terms of PC in different cognitive states, there was clinical relevance, and that individuals with a better cognitive status present better PC, with effect sizes ranging from small to moderate, similar to the analysis in the time domain.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4.\u0026nbsp;\u003c/strong\u003eComparison of postural control through specific analysis in the time-frequency domain, separated by bands, among older women with different levels of cognition according to the MoCA classification.\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"964\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency band\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNC GROUP\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCwAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgALAA0AhAAAAAAAAAAAOgAAZgA6ZgBmtjoAADpmZjqQ22YAAGa2/5A6AJC225Db/7ZmALb//9uQOv+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwU+IEAlQWkGBaCubOsCjjk8UDlXS4kAuMCoo8BMYlCwIiVC0VVDvYgBQaOFOxiEjxUuhXQCJjkjTgfIYZvRRggAOw==\" alt=\"image\"\u003e\u003cstrong\u003e\u0026nbsp;(95 % CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMCI GROUP\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCwAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgALAA0AhAAAAAAAAAAAOgAAZgA6ZgBmtjoAADpmZjqQ22YAAGa2/5A6AJC225Db/7ZmALb//9uQOv+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwU+IEAlQWkGBaCubOsCjjk8UDlXS4kAuMCoo8BMYlCwIiVC0VVDvYgBQaOFOxiEjxUuhXQCJjkjTgfIYZvRRggAOw==\" alt=\"image\"\u003e\u003cstrong\u003e\u0026nbsp;(95 % CI)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eACI GROUP\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCwAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgALAA0AhAAAAAAAAAAAOgAAZgA6ZgBmtjoAADpmZjqQ22YAAGa2/5A6AJC225Db/7ZmALb//9uQOv+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwU+IEAlQWkGBaCubOsCjjk8UDlXS4kAuMCoo8BMYlCwIiVC0VVDvYgBQaOFOxiEjxUuhXQCJjkjTgfIYZvRRggAOw==\" alt=\"image\"\u003e\u003cstrong\u003e\u0026nbsp;(95 % CI)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eF Value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP Value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"10\" valign=\"top\" style=\"width: 964px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBSEO- BIPODAL WITH EYES OPEN\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 129\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 68\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 39\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 826px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e60.10 (58.63-61.58)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e61.64 (58.45-64.83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e58.80 (56.99-60.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e60.07 (57.68-62.46)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e1.653\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e0.196\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e24.31 (23.14-25.49)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e23.66 (21.03-26.29)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e25.22 (23.73-26.71)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e24.80 (22.82-26.77)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.829\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e0.439\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e15.58 (14.85-16.32)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e14.71 (13.16-16.25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e15.99 (15.11-16.86)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e15.15 (13.99-16.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e1.482\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e0.231\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 826px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eML\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e36.11 (34.71-37.51)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e38.56 (35.46-41.67)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e35.87 (34.12-37.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e35.56 (33.24-37.89)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e1.449\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e0.239\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e33.03 (32.22-33.95)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e31.74 (29.69-33.79)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e33.24 (32.09-34.40)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e34.67 (33.14-36.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e2.345\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e0.100\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e30.86 (29.55-32.17)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e29.69 (26.80-32.59)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e30.89 (29.26-32.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e29.76 (27.59-31.94)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.464\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e0.630\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"10\" valign=\"top\" style=\"width: 964px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBSEC- BIPODAL WITH EYES CLOSED\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 68\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 39\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 826px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e58.26 (56.84-59.68)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e59.09 (55.89-62.29)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e57.19 (55.39-59.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e57.14 (54.74-59.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e1.117\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e0.330\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e26.60 (25.50-27.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e26.44 (23.92-28.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e27.07 (25.65-28.49)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e27.46 (25.57-29.35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.337\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e0.715\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e15.10 (14.39-15.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e14.49 (13.02-15.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e15.73 (14.89-16.56)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e15.39 (14.29-16.49)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e1.784\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e0.172\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 826px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eML\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e34.51 (33.10-35.91)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e36.99 (34.03-39.94)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e33.86 (32.19-35.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e35.77 (33.55-37.98)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e2.106\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e0.126\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e(Continued)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTabela 4.\u0026nbsp;\u003c/strong\u003eComparison of postural control through specific analysis in the time-frequency domain, separated by bands, among older women with different levels of cognition according to the MoCA classification.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(Continuation)\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"959\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency band\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNC GROUP\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCwAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgALAA0AhAAAAAAAAAAAOgAAZgA6ZgBmtjoAADpmZjqQ22YAAGa2/5A6AJC225Db/7ZmALb//9uQOv+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwU+IEAlQWkGBaCubOsCjjk8UDlXS4kAuMCoo8BMYlCwIiVC0VVDvYgBQaOFOxiEjxUuhXQCJjkjTgfIYZvRRggAOw==\" alt=\"image\"\u003e\u003cstrong\u003e\u0026nbsp;(95 % CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMCI GROUP\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCwAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgALAA0AhAAAAAAAAAAAOgAAZgA6ZgBmtjoAADpmZjqQ22YAAGa2/5A6AJC225Db/7ZmALb//9uQOv+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwU+IEAlQWkGBaCubOsCjjk8UDlXS4kAuMCoo8BMYlCwIiVC0VVDvYgBQaOFOxiEjxUuhXQCJjkjTgfIYZvRRggAOw==\" alt=\"image\"\u003e\u003cstrong\u003e\u0026nbsp;(95 % CI\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eACI GROUP\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCwAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgALAA0AhAAAAAAAAAAAOgAAZgA6ZgBmtjoAADpmZjqQ22YAAGa2/5A6AJC225Db/7ZmALb//9uQOv+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwU+IEAlQWkGBaCubOsCjjk8UDlXS4kAuMCoo8BMYlCwIiVC0VVDvYgBQaOFOxiEjxUuhXQCJjkjTgfIYZvRRggAOw==\" alt=\"image\"\u003e\u003cstrong\u003e\u0026nbsp;(95 % CI\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eF Value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP Value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e34.40 (33.48-35.32)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e33.43 (31.24-35.61)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e34.80 (33.57-36.04)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e34.97 (33.33-36.61)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.522\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.595\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e31.12 (29.91-32.33)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e29.59 (26.90-32.28)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e31.35 (29.83-32.87)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e29.33 (27.31-31.35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e1.435\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.242\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"10\" valign=\"top\" style=\"width: 958px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eUNEO- UNIPEDAL WITH EYES OPEN\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 18\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 55\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 30\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 820px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e45.23 (43.85-46.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e45.87 (42.52-49.22)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e45.44 (43.54-47.34)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e44.45 (41.88-47.03)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.330\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.720\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e37.09 (36.04-38.13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e36.65 (34.12-39.19)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e36.70 (35.26-38.14)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e38.06 (36.11-40.01)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.775\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.464\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e17.69 (17.04-18.33)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e17.48 (15.90-19.06)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e17.86(16.97-18.76)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e17.49 (16.28-18.71)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.162\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.850\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 820px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eML\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e42.60 (41.29-43.91)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e42.76 (39.60-45.92)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e42.67 (40.88-44.46)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e42.38 (39.95-44.81)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.114\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.893\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e37.24 (36.21-38.26)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e38.13 (35.67-40.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e37.04 (35.65-38.44)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e37.06 (35.17-38.95)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.113\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.893\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e20.16 (19.44-20.89)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e19.11 (17.35-20.87)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e20.29 (19.29-21.28)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e20.56 (19.21-21.92)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e1.041\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.357\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"10\" valign=\"top\" style=\"width: 958px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBIUS- BIPODAL WITH EYES OPEN AND ON FOAM\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 68\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 39\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 820px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e53.34 (51.75-54.92)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e52.61 (48.97-56.25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e52.12 (50.07-54.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e51.99 (49.26-54.71)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.241\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.786\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e33.26 (31.98-34.55)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e34.06 (31.15-36.97)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e33.77 (32.13-35.42)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e34.86 (32.68-37.05)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.509\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.602\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e13.40 (12.85-13.95)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e13.33 (12.05-14.62)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e14.10 (13.38-4.83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e13.17 (12.20-14.13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e1.231\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.295\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 820px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eML\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 820px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e(Continued)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003cstrong\u003eTable 4.\u0026nbsp;\u003c/strong\u003eComparison of postural control through specific analysis in the time-frequency domain, separated by bands, among older women with different levels of cognition according to the MoCA classification.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(Continuation)\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"959\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency band\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNC GROUP\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCwAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgALAA0AhAAAAAAAAAAAOgAAZgA6ZgBmtjoAADpmZjqQ22YAAGa2/5A6AJC225Db/7ZmALb//9uQOv+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwU+IEAlQWkGBaCubOsCjjk8UDlXS4kAuMCoo8BMYlCwIiVC0VVDvYgBQaOFOxiEjxUuhXQCJjkjTgfIYZvRRggAOw==\" alt=\"image\"\u003e\u003cstrong\u003e\u0026nbsp;(95 % CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMCI GROUP\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCwAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgALAA0AhAAAAAAAAAAAOgAAZgA6ZgBmtjoAADpmZjqQ22YAAGa2/5A6AJC225Db/7ZmALb//9uQOv+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwU+IEAlQWkGBaCubOsCjjk8UDlXS4kAuMCoo8BMYlCwIiVC0VVDvYgBQaOFOxiEjxUuhXQCJjkjTgfIYZvRRggAOw==\" alt=\"image\"\u003e\u003cstrong\u003e\u0026nbsp;(95 % CI\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eACI GROUP\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCwAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgALAA0AhAAAAAAAAAAAOgAAZgA6ZgBmtjoAADpmZjqQ22YAAGa2/5A6AJC225Db/7ZmALb//9uQOv+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwU+IEAlQWkGBaCubOsCjjk8UDlXS4kAuMCoo8BMYlCwIiVC0VVDvYgBQaOFOxiEjxUuhXQCJjkjTgfIYZvRRggAOw==\" alt=\"image\"\u003e\u003cstrong\u003e\u0026nbsp;(95 % CI\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eF Value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP Value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e52.01 (50.25-53.77)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e53.09 (49.40-56.79)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e50.83 (48.74-52.91)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e53.58 (50.80-56.35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e1.634\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.199\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e31.20 (29.68-32.72)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e30.20 (26.90-33.49)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e32.12 (30.26-33.98)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e30.67 (28.20-33.14)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.742\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.478\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e16.80 (16.10-17.49)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e16.71 (15.26-18.16)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e17.06 (16.24-17.87)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e15.76 (14.67-16.84)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e2.182\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.117\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"10\" valign=\"top\" style=\"width: 958px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBIVR- BIPODAL\u003c/strong\u003e \u003cstrong\u003eWITH VIRTUAL REALITY\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 68\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 39\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 820px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e61.74 (60.28-63.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e61.14 (57.94-64.33)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e61.07 (59.27-62.87)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e60.84 (58.45-63.24)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.278\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.758\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e23.00 (21.91-24.09)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e24.04 (21.61-26.47)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e23.46 (22.09-24.83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e23.44 (21.61-25.26)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.028\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.972\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e15.20 (14.46-15.95)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e14.81 (13.22-16.40)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e15.47 (14.57-16.37)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e15.58 (14.39-16.77)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e1.025\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.362\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 138px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 820px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eML\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e33.03 (31.63-34.43)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e36.48 (33.46-39.50)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e32.80 (31.10-34.51)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e32.36 (30.09-34.62)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e2.992\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.054\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e33.97 (13.88-94.06)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e33.25 (30.73-35.76)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e33.48 (32.06-34.90)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e35.31 (33.43-37.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e1.265\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.286\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 140px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e33.15 (31.96-34.34)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e30.31 (27.65-32.98)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e33.44 (31.94-34.95)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 134px;\"\u003e\n \u003cp\u003e32.31 (30.31-34.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e2.402\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0.095\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCgAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgAKAA0AhAAAAAAAAAAAOgA6kABmtjoAADoAOjpmZjqQ22YAAGY6Oma222a2/5A6AJDb/7ZmALZmOtuQOtv///+2Zv/bkP//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwU7YJUEZBkQQKqubOumUclYDckAMZJShqM+AkdF4VPRBIobi1IYSFqQQwG1gugmAR3MmXoEFoBaFldChAAAOw==\" alt=\"image\"\u003e\u0026nbsp;(95% CI): mean (95% confidence interval); NC: normal cognition; MCI: mild cognitive impairment; ACI: advanced cognitive impairment; AP: anteroposterior displacement and ML: mediolateral displacement, presented in Hertz (Hz). 0.05-0.5 Hz: low frequency; 0.5-1.5 Hz: medium frequency; 1.5-10 Hz: high frequency.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5.\u003c/strong\u003e Comparison of postural control through specific frequency analysis, separated by bands, among older women with different levels of cognition according to the MoCA classification.\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"873\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency band\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMCI x NC\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eGROUP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eACI x MCI\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eGROUP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eACI x NC\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eGROUP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eES\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003ePartial Eta Squared\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eInterpretation of \u003cem\u003eES\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBIPODAL WITH EYES OPEN\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 68\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 39\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;4.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;2.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026lt;2.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;6.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;1.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026gt;4.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;8.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;5.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026gt;3.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eML\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;7.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;0.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026lt;7.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;4.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;4.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026gt;9.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;4.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;3.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026gt;0.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBIPODAL WITH EYES CLOSED\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 68\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 39\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;3.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;0.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026lt;3.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;2.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;1.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026gt;3.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;8.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;2.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026gt;6.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eML\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;8.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;5.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026lt;3.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;4.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;0.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026gt;4.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;5.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;6.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026lt;0.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eUNIPEDAL WITH EYES OPEN\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 18\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 55\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 30\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;0.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;2.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026lt;3.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;0.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;3.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026gt;3.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;2.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;2.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026gt;0.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eTrivial\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eML\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;0.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;0.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026lt;0.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eTrivial\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;1.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;0.01%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026lt;2.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eTrivial\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e(Continued)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5.\u003c/strong\u003e Comparison of postural control through specific frequency analysis, separated by bands, among older women with different levels of cognition according to the MoCA classification.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;(Continuation)\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"873\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency band\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMCI x NC\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eGROUP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eACI x MCI\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eGROUP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eACI x NC\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eGROUP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eES\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003ePartial Eta Squared\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eInterpretation of \u003cem\u003eES\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"873\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;6.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;1.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026gt;7.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eTrivial\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBIPODAL WITH EYES OPEN AND ON FOAM\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 68\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 39\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;0.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;0.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026lt;1.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eTrivial\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;0.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;3.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026gt;2.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eTrivial\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;5.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;6.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026lt;1.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eML\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;4.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;5.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026gt;0.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;6.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;4.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026gt;1.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;2.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;7.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026lt;5.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBIPODAL WITH VIRTUAL REALITY\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 68\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en= 39\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;0.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;0.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026lt;0.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eTrivial\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;2.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;0.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026lt;2.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eTrivial\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;7.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;0.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026gt;5.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 873px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eML\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05-0.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;10.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;1.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026lt;11.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5-1.5 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;0.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;5.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026gt;6.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.5-10 Hz\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026gt;10.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;3.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026gt;6.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 174px;\"\u003e\n \u003cp\u003eSmall\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cimg width=\"7\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCgAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABgAKAA0AhAAAAAAAAAAAOgA6kABmtjoAADoAOjpmZjqQ22YAAGY6Oma222a2/5A6AJDb/7ZmALZmOtuQOtv///+2Zv/bkP//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwU7YJUEZBkQQKqubOumUclYDckAMZJShqM+AkdF4VPRBIobi1IYSFqQQwG1gugmAR3MmXoEFoBaFldChAAAOw==\" alt=\"image\"\u003e\u0026nbsp;(95% CI): mean (95% confidence interval); NC: normal cognition; MCI: mild cognitive impairment; ACI: advanced cognitive impairment; AP: anteroposterior displacement and ML: mediolateral displacement, presented in Hertz (Hz). 0.05-0.5 Hz: low frequency; 0.5-1.5 Hz: medium frequency; 1.5-10 Hz: high frequency.\u003c/p\u003e\n\u003cp\u003eComparisons were also made among the balance conditions, both by the method of analysis in the time domain and by the method in the time-frequency domain, in which it was possible to observe, in general, that the conditions differed from each other in practically all the variables and in all the cognitive states tested. The figures containing these analyses can be found in the supplementary material in the appendix.\u003c/p\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eThe present study aimed to analyze whether cognition influences the postural control of physically independent older women by utilizing postural control (PC) analysis methods in both the time domain and the time-frequency domain across five postural balance tasks. The results indicated that, in the time domain, older women with better cognitive function exhibited lower postural oscillations in PC variables (specifically in Vel A/P and Vel M/L) compared to those with some degree of cognitive impairment in the BSEO, BIOES, and BIVR conditions. In contrast, the time-frequency domain analysis did not reveal statistically significant differences in any of the variables or conditions tested. However, the distribution patterns in the frequency bands between the AP and ML displacements differed in the less challenging tasks and were similar in the more challenging tasks. Furthermore, clinically relevant analyses suggest that individuals with better cognitive function tend to have better balance.\u003c/p\u003e\u003cp\u003eNo studies have yet been found in the literature that compared the PC of older women with different levels of cognition, evaluated by the MoCA and the force platform, using the methods of analysis in the time domain and in the time-frequency domain. Although several studies have investigated cognition and PC in older adults, some authors (\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e) emphasize that the relationship between cognitive impairment and motor impairment still needs to be explored.\u003c/p\u003e\u003cp\u003eAltered postural balance is a powerful predictor of falls in older adults, especially in older adults with cognitive disorders (\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e). As a result, balance assessment, in particular PC analysis with the force platform, is useful for understand alterations related to cognitive impairment in postural sway. In this sense, the current study provided evidence that older women with NC, when evaluated by the MoCA, show lower postural sway than older women with MCI and ACI, analyzed by the time domain analysis method and, in some variables, older women with MCI show lower values than older women with ACI. Studies that have performed this type of comparison of PC in older women with different cognitive levels were found only using the Mini Mental State Examination (MMSE) questionnaire, in which some results corroborate the present study (\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e), while others do not (\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e). The MoCA questionnaire has been widely used by researchers in the older population, and this tool seems to be more sensitive in discriminating cognitive impairments, especially in mild cognitive impairment, where the MoCA has a smaller ceiling effect on the score, when compared to the MMSE (\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eIn the study by Deschamps et al. (\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e), in which the PC was compared between the different cognitive states, classified by the MMSE, the results, as in this study, showed that older adults with greater cognitive impairment demonstrated greater oscillations in the PC variables than older adults with less cognitive impairment. Unlike that study, which analyzed only the BSEO and BSEC balance conditions, in this study, three more conditions were evaluated, including more challenging conditions, which also indicated the same pattern of results, except for the UNEO condition, in which there were no differences between the groups in any of the PC variables. Castilho et al. (\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e), found results similar to those of the present study in the UNEO condition when using the MMSE to evaluate older people with different cognitive levels. These results may be because this body posture is quite challenging (\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e), which causes greater difficulties for all older adults, regardless of their cognitive state. Thus, PC in the UNEO condition does not seem to differ in older women with different cognitive levels.\u003c/p\u003e\u003cp\u003eWhen the PC was evaluated in the BIVR condition, it was possible to observe smaller postural oscillations in the evaluated variables, compared to the condition that appeared to be the least challenging, which is the BSEO. This probably occurred because the BIVR condition presents several stimuli, that is, visual stimulus simulating the moment of crossing a busy street, sound stimulus from horns, acceleration, and other sounds found on the streets, and semi-immersive virtual reality stimulus, with the virtual reality glasses. Consequently, attention is needed for so many stimuli, which affects maintaining balance, while the individual needs to concentrate a lot, thus making the postural oscillations in the PC variables in the BIVR condition smaller than the variables in the other conditions.\u003c/p\u003e\u003cp\u003eIt is important to highlight that the results of previous studies (\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e), as well as the findings of the present study, except for the UNEO condition, suggest that the PC strategies used by older adults with cognitive impairment may be a clinical hallmark of early cognitive dysfunction and may help in diagnosing individuals at an increased risk of a fall. According to a systematic review with meta-analysis (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e), static PC appears to be affected by mild cognitive impairment (MCI), although there is limited evidence. The authors (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e), further state that evaluation with gold standard equipment, such as the force platform, can provide a more critical analysis for the diagnosis of MCI and a personalized intervention targeting the specific deficits and potentially delaying the progression to dementia. A study by Kelly et al. (\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e) indicates an association between general cognition and PC, in which deficits in general cognition are associated with severe deficits in PC.\u003c/p\u003e\u003cp\u003eIn the current work, the results suggest that when data are evaluated by the time domain analysis method, older women without cognitive impairment may show lower postural oscillations in PC variables, which could indicate better balance compared to women with cognitive impairment, and that this is dependent on the condition tested (\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e). However, as already mentioned, some authors point out that an increase in linear values does not always suggest an imbalance (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e). Mancini et al. (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e) state that generally, the higher and faster the frequency of postural sway, the worse the PC. In this study, greater fluctuations indicate worse PC, as they were associated with older women with greater cognitive impairment, which has been pointed out in the literature (\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e, \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e). In addition, several studies with older people attribute the greatest oscillation to the worst PC (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eRecent studies, such as Ge et al. (\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e), support the findings of the present study by demonstrating that cognitive performance plays a crucial role in postural stability, particularly in dual-task conditions. In these scenarios, limited cognitive capacity can hinder the allocation of attentional resources to postural control, increasing instability in older adults with low back pain (\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e). Additionally, the findings of Xu et al. (\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e) indicate that increased activation of the prefrontal cortex (PFC) during dual-task activities may be a compensatory strategy in older adults with mild cognitive impairment to maintain balance (\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eSpecific time-frequency domain analyses, which are important for estimating the contributions of different neural circuits in PC (\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e), showed no significant differences in these contributions among older women with different cognitive levels. Regardless of these results, although it was not the objective of this study to compare the different balance conditions, it is possible to observe that the distribution pattern in the frequency bands was different depending on the type of task tested. In the BSEO, BSEC, and BIVR tasks, which are less challenging tasks, the data had a similar distribution pattern when analyzing one task against another. This was also observed among the most challenging tasks, BIUS and UNEO. That is, the behavior pattern of the variables differs according to the type of task analyzed; less challenging and more challenging. These results are interesting and deserve to be explored in further studies with the objective of understanding the contribution of these systems in different balance tasks in older individuals.\u003c/p\u003e\u003cp\u003eIn the clinical context, the implication of these results is very important, both in decision making and in the interpretation of the individual's behavior. Furthermore, from the results observed, it is possible to discern a pattern of behavior, and this was pointed out by the effect size analyses, even if in some tests, the results did not present statistical significance.\u003c/p\u003e\u003cp\u003eThe fact that the sample was composed only of older, physically independent women constitutes one of the limitations of this study, as this characteristic prevents the generalization of the results to other populations. Another aspect is that the study did not consider cognitive decline as an inclusion criterion, which made it less likely for older people with more severe cognitive impairments to participate. Despite these limitations, the study presented aspects that were still unexplored in this context, such as the use of the MoCA instrument for the classification of cognitive state and the analysis of the PC using the analysis methods in the time domain and in the time-frequency domain. In addition, understanding these variables in physically independent older people who can participate in exercise programs is extremely important for clinical practice, so that therapeutic approaches are more effective.\u003c/p\u003e"},{"header":"5. Conclusion","content":"\u003cp\u003eThe present study showed that older women with a normal cognitive state, assessed by the MoCA, demonstrate better PC than older women with mild and advanced cognitive impairment, in several variables of PC and in four of the five balance tasks evaluated. In addition, women with mild cognitive impairment demonstrated better PC than those with moderate impairment. These differences were observed using the analysis method in the time domain and not in the time-frequency domain.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003e\u003cstrong\u003ePC:\u003c/strong\u003e Postural Control;\u0026nbsp;\u003cstrong\u003eMoCA:\u003c/strong\u003e Montreal Cognitive Assessment;\u0026nbsp;\u003cstrong\u003eNC:\u003c/strong\u003e Normal Cognition;\u0026nbsp;\u003cstrong\u003eMCI\u003c/strong\u003e: Mild Cognitive Impairment;\u0026nbsp;\u003cstrong\u003eACI:\u003c/strong\u003e Advanced Cognitive Impairment;\u0026nbsp;\u003cstrong\u003eBSEO\u003c/strong\u003e: Bipedal with Eyes Open;\u0026nbsp;\u003cstrong\u003eBSEC\u003c/strong\u003e: Bipedal with Eyes Closed;\u0026nbsp;\u003cstrong\u003eUNEO\u003c/strong\u003e: Unipedal;\u0026nbsp;\u003cstrong\u003eBIUS:\u003c/strong\u003e Bipedal on Foam;\u0026nbsp;\u003cstrong\u003eBIVR:\u003c/strong\u003e Bipedal with Virtual Reality;\u0026nbsp;\u003cstrong\u003eCOP\u003c/strong\u003e: Center of Pressure;\u0026nbsp;\u003cstrong\u003eAP:\u003c/strong\u003e Anteroposterior;\u0026nbsp;\u003cstrong\u003eML:\u003c/strong\u003e Mediolateral;\u0026nbsp;\u003cstrong\u003eMMSE:\u003c/strong\u003e Mini Mental State Examination;\u0026nbsp;\u003cstrong\u003eFES – I:\u003c/strong\u003e Falls Efficacy Scale International;\u0026nbsp;\u003cstrong\u003eBMI:\u003c/strong\u003e Body Mass Index;\u0026nbsp;\u003cstrong\u003eES:\u003c/strong\u003e Effect Size;\u0026nbsp;\u003cstrong\u003eSPSS:\u003c/strong\u003e Statistical Package for the Social Sciences;\u0026nbsp;\u003cstrong\u003eSD:\u003c/strong\u003e Standard Deviation;\u0026nbsp;\u003cstrong\u003eCI:\u003c/strong\u003e Confidence Interval;\u0026nbsp;\u003cstrong\u003eA-COP:\u003c/strong\u003e Area of Oscillation of the Center of Pressure;\u0026nbsp;\u003cstrong\u003eVEL:\u003c/strong\u003e Mean Oscillation Velocity;\u0026nbsp;\u003cstrong\u003eA/P:\u003c/strong\u003e Anteroposterior Direction;\u0026nbsp;\u003cstrong\u003eM/L:\u003c/strong\u003e Mediolateral Direction.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003ch2\u003eDeclaration of interests\u003c/h2\u003e\u003cp\u003eThe Authors declare that there is no conflict of interest.\u003c/p\u003e\u003c/p\u003e\u003ch2\u003eFunding\u003c/h2\u003e\u003cp\u003eThis study was partially funded by the Coordena\u0026ccedil;\u0026atilde;o de Aperfei\u0026ccedil;oamento de Pessoal de N\u0026iacute;vel Superior (CAPES) \u0026ndash; Brazil, under grant number 88881.187942/2018-01, through the PDSE (Programa de Doutorado Sandu\u0026iacute;che no Exterior) \u0026ndash; Edital n\u0026ordm; 47/2017 \u0026ndash; Sele\u0026ccedil;\u0026atilde;o 2018. Additional financial support for the research was provided by the University Extension Support Program of the Ministry of Education (PROEXT) \u0026ndash; Brazil.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eCamila Pereira: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Data curation, Writing \u0026ndash; Original Draft, Writing \u0026ndash; Review \u0026amp; Editing, Visualization, Project administration. Bruna Prado Gomes: Conceptualization, Investigation, Data curation, Writing \u0026ndash; Review \u0026amp; Editing. Anderson da Silva Honorato: Conceptualization, Investigation, Data curation, Writing \u0026ndash; Review \u0026amp; Editing. Fabiana Cristina Scherer: Conceptualization, Investigation, Data curation, Writing \u0026ndash; Review \u0026amp; Editing. Alexandre Roberto Marcondes Pelegrinelli: Conceptualization, Formal analysis, Resources, Data curation, Writing \u0026ndash; Review \u0026amp; Editing. Emily Claire Smith: Conceptualization, Writing \u0026ndash; Review \u0026amp; Editing. Felipe Arruda Moura: Conceptualization, Methodology, Formal analysis, Writing \u0026ndash; Review \u0026amp; Editing. Vanessa Suziane Probst: Conceptualization, Methodology, Resources, Writing \u0026ndash; Review \u0026amp; Editing, Project administration. Jeff Scott Coombes: Conceptualization, Writing \u0026ndash; Review \u0026amp; Editing, Supervision. Rubens Alexandre da Silva: Conceptualization, Methodology, Formal analysis, Writing \u0026ndash; Review \u0026amp; Editing, Supervision. Denilson de Castro Teixeira: Conceptualization, Methodology, Investigation, Formal analysis, Investigation, Resources, Data curation, Writing \u0026ndash; Original Draft, Writing \u0026ndash; Review \u0026amp; Editing, Visualization, Supervision, Project administration, Funding acquisition.\u003c/p\u003e\u003ch2\u003eAcknowledgement\u003c/h2\u003e\u003cp\u003eWe thank all the research volunteers and all the members of GEPEHAF (Study and Research Group on Human Aging and Physical Activity).\u003c/p\u003e\u003ch2\u003eData availability\u003c/h2\u003e\u003cp\u003eThe datasets generated and/or analysed during the current study are part of a broader research project that includes additional ongoing analyses and publications. Therefore, the data are not publicly available at this stage, but are available from the corresponding author upon reasonable request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eLeach JM, Mancini M, Kaye JA, Hayes TL, Horak FB. Day-to-day variability of postural sway and its association with cognitive function in older adults: a pilot study. Front Aging Neurosci. 2018;10:126. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.3389/fnagi.2018.00126\u003c/span\u003e\u003cspan address=\"10.3389/fnagi.2018.00126\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eBuchman AS, Bennett DA. Loss of motor function in preclinical Alzheimer\u0026rsquo;s disease. Expert Rev Neurother. 2011;11(5):665\u0026ndash;76. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1586/ern.11.57\u003c/span\u003e\u003cspan address=\"10.1586/ern.11.57\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eHayes TL, Abendroth F, Adami A, Pavel M, Zitzelberger TA, Kaye JA. Unobtrusive assessment of activity patterns associated with mild cognitive impairment. Alzheimers Dement. 2008;4(6):395\u0026ndash;405. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.jalz.2008.07.004\u003c/span\u003e\u003cspan address=\"10.1016/j.jalz.2008.07.004\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eAggarwal NT, Wilson RS, Beck TL, Bienias JL, Bennett DA. Motor dysfunction in mild cognitive impairment and the risk of incident Alzheimer disease. Arch Neurol. 2006;63(12):1763\u0026ndash;9. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1001/archneur.63.12.1763\u003c/span\u003e\u003cspan address=\"10.1001/archneur.63.12.1763\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003ePark JH, Mancini M, Carlson-Kuhta P, Nutt JG, Horak FB. Quantifying effects of age on balance and gait with inertial sensors in community-dwelling healthy adults. Exp Gerontol. 2016;85:48\u0026ndash;58. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.exger.2016.09.018\u003c/span\u003e\u003cspan address=\"10.1016/j.exger.2016.09.018\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eSeidler RD, Bernard JA, Burutolu TB, Fling BW, Gordon MT, Gwin JT, et al. Motor control and aging: links to age-related brain structural, functional, and biochemical effects. Neurosci Biobehav Rev. 2010;34(5):721\u0026ndash;33. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.neubiorev.2009.10.005\u003c/span\u003e\u003cspan address=\"10.1016/j.neubiorev.2009.10.005\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMancini M, Nutt JG, Horak FB. How is balance controlled by the nervous system? In: Mancini M, Nutt JG, Horak FB, editors. Balance Dysfunction in Parkinson's Disease. London: Academic; 2020. pp. 1\u0026ndash;24. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/B978-0-12-813874-8.00001-5\u003c/span\u003e\u003cspan address=\"10.1016/B978-0-12-813874-8.00001-5\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eBernard-Demanze L, Dumitrescu M, Jim\u0026eacute;nez W, Borel L, Lacour M. Age-related changes in posture control are differentially affected by postural and cognitive task complexity. Curr Aging Sci. 2009;2(2):135\u0026ndash;49. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.2174/1874609810902020135\u003c/span\u003e\u003cspan address=\"10.2174/1874609810902020135\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLow DC, Walsh GS, Arkesteijn M. Effectiveness of exercise interventions to improve postural control in older adults: a systematic review and meta-analysis of centre of pressure measurements. Sports Med. 2017;47(1):101\u0026ndash;12. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1007/s40279-016-0559-0\u003c/span\u003e\u003cspan address=\"10.1007/s40279-016-0559-0\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eOliveira MR, Silva RA, Dascal JB, Teixeira DC. Effect of different types of exercise on postural balance in elderly women: a randomized controlled trial. Arch Gerontol Geriatr. 2014;59(3):506\u0026ndash;14. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.archger.2014.08.009\u003c/span\u003e\u003cspan address=\"10.1016/j.archger.2014.08.009\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLacour M, Bernard-Demanze L, Dumitrescu M. Posture control, aging, and attention resources: models and posture-analysis methods. Neurophysiol Clin. 2008;38(6):411\u0026ndash;21. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.neucli.2008.09.005\u003c/span\u003e\u003cspan address=\"10.1016/j.neucli.2008.09.005\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMacDonald SW, Nyberg L, B\u0026auml;ckman L. Intra-individual variability in behavior: links to brain structure, neurotransmission and neuronal activity. Trends Neurosci. 2006;29(8):474\u0026ndash;80. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.tins.2006.06.011\u003c/span\u003e\u003cspan address=\"10.1016/j.tins.2006.06.011\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eDodge HH, Mattek NC, Austin D, Hayes TL, Kaye JA. In-home walking speeds and variability trajectories associated with mild cognitive impairment. Neurology. 2012;78(24):1946\u0026ndash;52. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1212/WNL.0b013e318259e1de\u003c/span\u003e\u003cspan address=\"10.1212/WNL.0b013e318259e1de\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eBuracchio T, Dodge HH, Howieson D, Wasserman D, Kaye J. The trajectory of gait speed preceding mild cognitive impairment. Arch Neurol. 2010;67(8):980\u0026ndash;6. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1001/archneurol.2010.159\u003c/span\u003e\u003cspan address=\"10.1001/archneurol.2010.159\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eWang L, Larson EB, Bowen JD, van Belle G. Performance-based physical function and future dementia in older people. Arch Intern Med. 2006;166(10):1115\u0026ndash;20. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1001/archinte.166.10.1115\u003c/span\u003e\u003cspan address=\"10.1001/archinte.166.10.1115\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eKluger A, Gianutsos JG, Golomb J, Ferris SH, George AE, Franssen E, et al. Patterns of motor impairment in normal aging, mild cognitive decline, and early Alzheimer's disease. J Gerontol B Psychol Sci Soc Sci. 1997;52(1):P28\u0026ndash;39. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1093/geronb/52b.1.p28\u003c/span\u003e\u003cspan address=\"10.1093/geronb/52b.1.p28\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMacDonald SW, Hultsch DF, Dixon RA. Performance variability is related to change in cognition: evidence from the Victoria Longitudinal Study. Psychol Aging. 2003;18(3):510\u0026ndash;23. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1037/0882-7974.18.3.510\u003c/span\u003e\u003cspan address=\"10.1037/0882-7974.18.3.510\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eCastilho AR, Oliveira MR, Fabrin LF, Souza PEA, Silva RS, Silva RA. Influence of cognitive mental state on postural balance of older people. J Health Sci. 2018;20(3):190\u0026ndash;4. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.17921/2447-8938.2018v20n3p190-194\u003c/span\u003e\u003cspan address=\"10.17921/2447-8938.2018v20n3p190-194\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eCharlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373\u0026ndash;83. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/0021-9681(87)90171-8\u003c/span\u003e\u003cspan address=\"10.1016/0021-9681(87)90171-8\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eCamargos FF, Dias RC, Dias JM, Freire MT. Cross-cultural adaptation and evaluation of the psychometric properties of the Falls Efficacy Scale-International among elderly Brazilians (FES-I-BRAZIL). Rev Bras Fisioter. 2010;14(3):237\u0026ndash;43. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1590/S1413-35552010000300010\u003c/span\u003e\u003cspan address=\"10.1590/S1413-35552010000300010\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eNasreddine ZS, Phillips NA, B\u0026eacute;dirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695\u0026ndash;9. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1111/j.1532-5415.2005.53221.x\u003c/span\u003e\u003cspan address=\"10.1111/j.1532-5415.2005.53221.x\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMem\u0026oacute;ria CM, Yassuda MS, Nakano EY, Forlenza OV. Brief screening for mild cognitive impairment: validation of the Brazilian version of the Montreal Cognitive Assessment. Int J Geriatr Psychiatry. 2013;28(1):34\u0026ndash;40. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1002/gps.3787\u003c/span\u003e\u003cspan address=\"10.1002/gps.3787\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLarner AJ. Effect size (Cohen's d) of cognitive screening instruments examined in pragmatic diagnostic accuracy studies. Dement Geriatr Cogn Disord Extra. 2014;4(2):236\u0026ndash;41. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1159/000363735\u003c/span\u003e\u003cspan address=\"10.1159/000363735\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003ePereira C, da Silva RA, de Oliveira MR, Souza RDN, Borges RJ, Vieira ER. Effect of body mass index and fat mass on balance force platform measurements during a one-legged stance in older adults. Aging Clin Exp Res. 2018;30(5):441\u0026ndash;7. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1007/s40520-017-0796-6\u003c/span\u003e\u003cspan address=\"10.1007/s40520-017-0796-6\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eSilva RA, Pereira C, Oliveira MR, Gil AW. Equil\u0026iacute;brio postural: avalia\u0026ccedil;\u0026atilde;o e interven\u0026ccedil;\u0026atilde;o por meio de exerc\u0026iacute;cios associados \u0026agrave;s estrat\u0026eacute;gias de controle neuromuscular. Curitiba: CRV; 2017.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eOliveira MR, Vieira ER, Gil AWO, Fernandes KBP, Teixeira DC, Amorim CF, da Silva RA. One-legged stance sway of older adults with and without falls. PLoS ONE. 2018;13(9):e0203887. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1371/journal.pone.0203887\u003c/span\u003e\u003cspan address=\"10.1371/journal.pone.0203887\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eDa Silva RA, Bilodeau M, Parreira RB, Teixeira DC, Amorim CF. Age-related differences in time-limit performance and force platform-based balance measures during one-leg stance. J Electromyogr Kinesiol. 2013;23(3):634\u0026ndash;9. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.jelekin.2013.01.008\u003c/span\u003e\u003cspan address=\"10.1016/j.jelekin.2013.01.008\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eBaratto L, Morasso PG, Re C, Spada G. A new look at posturographic analysis in the clinical context: sway-density versus other parameterization techniques. Motor Control. 2002;6(3):246\u0026ndash;70. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1123/mcj.6.3.246\u003c/span\u003e\u003cspan address=\"10.1123/mcj.6.3.246\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eIhlen EA, Skj\u0026aelig;ret N, Vereijken B. The influence of center-of-mass movements on the variation in the structure of human postural sway. J Biomech. 2013;46(3):484\u0026ndash;90. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.jbiomech.2012.10.016\u003c/span\u003e\u003cspan address=\"10.1016/j.jbiomech.2012.10.016\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003ePaillard T, No\u0026eacute; F. Techniques and methods for testing the postural function in healthy and pathological subjects. Biomed Res Int. 2015;2015:891390. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1155/2015/891390\u003c/span\u003e\u003cspan address=\"10.1155/2015/891390\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eChagdes JR, Rietdyk S, Haddad JM, Zelaznik HN, Raman A, Rhea CK, et al. Multiple timescales in postural dynamics associated with vision and a secondary task are revealed by wavelet analysis. Exp Brain Res. 2009;197(3):297\u0026ndash;310. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1007/s00221-009-1915-1\u003c/span\u003e\u003cspan address=\"10.1007/s00221-009-1915-1\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eFoisy A, Gaertner C, Matheron E, Kapoula Z. Controlling posture and vergence eye movements in quiet stance: effects of thin plantar inserts. PLoS ONE. 2015;10(12):e0143693. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1371/journal.pone.0143693\u003c/span\u003e\u003cspan address=\"10.1371/journal.pone.0143693\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003ePaillard T, Borel L. Unilateral and bilateral fatiguing contractions similarly alter postural stability but differently modify postural position on bipedal stance. Hum Mov Sci. 2013;32(2):353\u0026ndash;62. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.humov.2012.12.001\u003c/span\u003e\u003cspan address=\"10.1016/j.humov.2012.12.001\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eCohen J. A power primer. Psychol Bull. 1992;112(1):155\u0026ndash;9. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1037/0033-2909.112.1.155\u003c/span\u003e\u003cspan address=\"10.1037/0033-2909.112.1.155\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMorris R, Lord S, Bunce J, Burn D, Rochester L. Gait and cognition: mapping the global and discrete relationships in ageing and neurodegenerative disease. Neurosci Biobehav Rev. 2016;64:326\u0026ndash;45. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.neubiorev.2016.02.012\u003c/span\u003e\u003cspan address=\"10.1016/j.neubiorev.2016.02.012\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003ePal G, O'Keefe J, Robertson-Dick E, Bernard B, Anderson S, Hall C. Global cognitive function and processing speed are associated with gait and balance dysfunction in Parkinson\u0026rsquo;s disease. J Neuroeng Rehabil. 2016;13(1):94. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1186/s12984-016-0205-y\u003c/span\u003e\u003cspan address=\"10.1186/s12984-016-0205-y\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eDelbaere K, Kochan NA, Close JC, Menant JC, Sturnieks DL, Brodaty H, et al. Mild cognitive impairment as a predictor of falls in community-dwelling older people. Am J Geriatr Psychiatry. 2012;20(10):845\u0026ndash;53. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1097/JGP.0b013e31824afbc4\u003c/span\u003e\u003cspan address=\"10.1097/JGP.0b013e31824afbc4\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMuir SW, Gopaul K, Montero Odasso MM. The role of cognitive impairment in fall risk among older adults: a systematic review and meta-analysis. Age Ageing. 2012;41(3):299\u0026ndash;308. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1093/ageing/afs012\u003c/span\u003e\u003cspan address=\"10.1093/ageing/afs012\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eDeschamps T, Beauchet O, Annweiler C, Cornu C, Mignardot JB. Postural control and cognitive decline in older adults: position versus velocity implicit motor strategy. Gait Posture. 2014;39(1):628\u0026ndash;30. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.gaitpost.2013.07.001\u003c/span\u003e\u003cspan address=\"10.1016/j.gaitpost.2013.07.001\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eSzczepańska-Gieracha J, Cieślik B, Chamela-Bilińska D, Kuczyński M. Postural stability of elderly people with cognitive impairments. Am J Alzheimers Dis Other Demen. 2016;31(3):241\u0026ndash;6. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1177/1533317515602547\u003c/span\u003e\u003cspan address=\"10.1177/1533317515602547\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eTrzepacz PT, Hochstetler H, Wang S, Walker B, Saykin AJ. Relationship between the Montreal Cognitive Assessment and Mini-mental State Examination for assessment of mild cognitive impairment in older adults. BMC Geriatr. 2015;15:107. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1186/s12877-015-0103-3\u003c/span\u003e\u003cspan address=\"10.1186/s12877-015-0103-3\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMatsuda S, Demura S, Demura T. Examining differences between center of pressure sway in one-legged and two-legged stances for soccer players and typical adults. Percept Mot Skills. 2010;110(3 Pt 1):751\u0026ndash;60. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.2466/pms.110.3.751-760\u003c/span\u003e\u003cspan address=\"10.2466/pms.110.3.751-760\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMignardot JB, Beauchet O, Annweiler C, Cornu C, Deschamps T. Postural sway, falls, and cognitive status: a cross-sectional study among older adults. J Alzheimers Dis. 2014;41(2):431\u0026ndash;9. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.3233/JAD-132657\u003c/span\u003e\u003cspan address=\"10.3233/JAD-132657\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eBahureksa L, Najafi B, Saleh A, Sabbagh M, Coon D, Mohler MJ, et al. The impact of mild cognitive impairment on gait and balance: a systematic review and meta-analysis of studies using instrumented assessment. Gerontology. 2017;63(1):67\u0026ndash;83. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1159/000445831\u003c/span\u003e\u003cspan address=\"10.1159/000445831\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eKelly VE, Johnson CO, McGough EL, Shumway-Cook A, Horak FB, Chung KA, et al. Association of cognitive domains with postural instability/gait disturbance in Parkinson\u0026rsquo;s disease. Parkinsonism Relat Disord. 2015;21(6):692\u0026ndash;7. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.parkreldis.2015.04.002\u003c/span\u003e\u003cspan address=\"10.1016/j.parkreldis.2015.04.002\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eGe L, Yu Q, Wang C, Huang H, Li X, Zhang S, et al. How cognitive loads modulate the postural control of older women with low back pain? BMC Geriatr. 2021;21(1):82. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1186/s12877-021-02025-z\u003c/span\u003e\u003cspan address=\"10.1186/s12877-021-02025-z\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eXu G, Zhou M, Chen Y, Song Q, Sun W, Wang J. Brain activation during standing balance control in dual-task paradigm and its correlation among older adults with mild cognitive impairment: a fNIRS study. BMC Geriatr. 2024;24(1):144. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1186/s12877-024-04772-1\u003c/span\u003e\u003cspan address=\"10.1186/s12877-024-04772-1\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-geriatrics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bgtc","sideBox":"Learn more about [BMC Geriatrics](http://bmcgeriatr.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bgtc/default.aspx","title":"BMC Geriatrics","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Cognition, Aging, Older women, Mild cognitive impairment, Postural control, Balance","lastPublishedDoi":"10.21203/rs.3.rs-6946491/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6946491/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cb\u003eBackground and Purpose\u003c/b\u003e\u003c/p\u003e\u003cp\u003eThis study aimed to investigate whether different levels of cognitive impairment influence postural control (PC) in physically independent older women, using time domain and time-frequency domain analyses. Understanding this relationship is essential for developing targeted interventions to reduce fall risk in aging populations.\u003c/p\u003e\u003cp\u003e\u003cb\u003eMethods\u003c/b\u003e\u003c/p\u003e\u003cp\u003eA cross-sectional study included 129 women aged\u0026thinsp;\u0026ge;\u0026thinsp;60 years (mean age: 69), who were physically independent and had not engaged in structured exercise for at least three months. Participants were classified into three groups based on Montreal Cognitive Assessment (MoCA) scores: normal cognition (NC), mild cognitive impairment (MCI), and advanced cognitive impairment (ACI). PC data were analyzed using two distinct methods: time domain analysis and time-frequency domain analysis. The time-frequency analysis categorized postural sway into three frequency bands: low (0.05\u0026ndash;0.5 Hz), medium (0.5\u0026ndash;1.5 Hz), and high (1.5\u0026ndash;10 Hz). Group differences were assessed using one-way ANOVA, preceded by Levene\u0026rsquo;s test for homogeneity of variances. When variance assumptions were violated, data were log-transformed (base 10) to meet normality requirements. Post hoc comparisons were conducted using the Sidak test. Additionally, effect size was calculated using partial eta squared to evaluate the clinical relevance of the findings.\u003c/p\u003e\u003cp\u003e\u003cb\u003eResults\u003c/b\u003e\u003c/p\u003e\u003cp\u003eTime-domain analysis revealed that participants with better cognitive function exhibited reduced postural sway in BSEO, BIUS, and BIVR conditions. No statistically significant differences were observed in time-frequency domain analysis; however, different frequency band distribution patterns were noted. Lower frequency bands (visual-vestibular system) were predominant in less challenging tasks, while cerebellar (medium frequency) and proprioceptive (high frequency) systems were more active in complex conditions. Clinical relevance analysis confirmed that better cognitive function was associated with improved PC across both analysis methods.\u003c/p\u003e\u003cp\u003e\u003cb\u003eConclusion\u003c/b\u003e\u003c/p\u003e\u003cp\u003eCognitive status influences PC, with variations depending on task complexity and analysis method. These findings underscore the importance of incorporating cognitive assessments into balance evaluations and fall prevention strategies for older adults.\u003c/p\u003e","manuscriptTitle":"Influence of Cognitive Function on Postural Control in Physically Independent Older Women: A Time and Time-Frequency Domain Analysis","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-07-31 16:09:52","doi":"10.21203/rs.3.rs-6946491/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-08-29T05:51:36+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-08-18T00:14:45+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-08-14T06:54:46+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"209695717315876558875102319923035859673","date":"2025-08-08T09:00:59+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"191064935280753273905018650107398675922","date":"2025-08-08T06:25:20+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-07-29T17:46:35+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-07-23T07:39:29+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-07-01T05:20:30+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-07-01T04:40:02+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Geriatrics","date":"2025-07-01T04:36:07+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-geriatrics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bgtc","sideBox":"Learn more about [BMC Geriatrics](http://bmcgeriatr.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bgtc/default.aspx","title":"BMC Geriatrics","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"510b7b81-d87e-4ffb-a31b-eff587c6b690","owner":[],"postedDate":"July 31st, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2026-01-26T16:02:47+00:00","versionOfRecord":{"articleIdentity":"rs-6946491","link":"https://doi.org/10.1186/s12877-026-06982-1","journal":{"identity":"bmc-geriatrics","isVorOnly":false,"title":"BMC Geriatrics"},"publishedOn":"2026-01-19 15:57:11","publishedOnDateReadable":"January 19th, 2026"},"versionCreatedAt":"2025-07-31 16:09:52","video":"","vorDoi":"10.1186/s12877-026-06982-1","vorDoiUrl":"https://doi.org/10.1186/s12877-026-06982-1","workflowStages":[]},"version":"v1","identity":"rs-6946491","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6946491","identity":"rs-6946491","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}