Associations Between Anemia and Dependence on Basic and Instrumental Activities of Daily Living in Older Women

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Methods 540 older female outpatients were included. Anemia was defined as a hemoglobin below 12 g/dL. Patients' demographic characteristics, comorbidities, Geriatric Depression Scale, Mini Nutritional Assessment, and Mini-Mental State Examination (MMSE) were also recorded. Handgrip strength (HGS) was measured with a hand dynamometer to detect dynapenia. Basic Activities of Daily Living (BADL) and Instrumental Activities of Daily Living (IADL) questionnaires were used to evaluate functional capacity. Results The mean age of the participants was 77.42 ± 7.42. The prevalence of patients with anemia was 35%. A significant difference was observed between anemic and non-anemic groups in terms of age, presence of diabetes mellitus, hypertension, (DM) coronary artery disease (CAD), chronic kidney disease (CKD), malnutrition, dynapenia, and MMSE, BADL and IADL scores (p < 0.05). In multivariate analysis, after adjustment for age, DM, hypertension, CAD and CKD; there were significant associations between anemia and reduced BADL/IADL scores, dynapenia, falls, the risk of falls, MMSE, and malnutrition (p < 0.05). After adjusting for all confounding variables, deterioration in total BADL and IADL total scores were still more common among anemic older females than those without anemia (p < 0.05). Conclusion One out of every three older women presenting at outpatient clinic were anemic. Anemia was observed to be associated with dependence in both BADL and IADL measures. Therefore, the presence of anemia in elderly women should be routinely checked, and possible causes should be investigated and treated to improve their functional capacity. 1. Introduction The frequency of anemia rises with increasing age, reaching a prevalence of 17% in older persons > 65 years of age [ 1 ]. Anemia, defined by the WHO as a hemoglobin (Hb) concentration of < 12 g/dl in women and < 13 g/dl in men, negatively impacts the health of the elderly population. However, Hb levels decline with age and may differ in different ethnic groups [ 2 ]. Causes of anemia in older adults include nutritional deficiency, chronic kidney disease, chronic inflammation, and occult blood loss from gastrointestinal disorders. Additionally, multiple underlying disorders have a higher prevalence among older adults, including, for example, myelodysplastic syndrome (MDS), other blood cell disorders, and cancer. In older adults, different etiologies may act synergistically contributing to the development of anemia[ 3 , 4 ]. The overall prevalence of anemia in elderly individuals ranges from 10–24%. Older adults admitted to hospital are more likely to experience anemia (40%), and an even higher prevalence has been observed among (47%) nursing home residents [ 4 ]. Low Hb levels has been identified as a potentially important risk factor for cardiovascular diseases, cognitive impairment, insomnia, impaired mood, and restricted quality of life [ 5 ]. In addition, the presence of anemia is significantly associated with more frequent hospitalization and longer hospital stays [ 5 ]. Anemia has also been associated with geriatric syndromes in the elderly. In a study by Kara et al., anemia was found to be associated with frailty, polypharmacy, malnutrition, falls, and decreased muscle strength and therefore was concluded to be an indicator of general poor health in older women [ 6 ]. Moreover, insomnia and daytime sleepiness, which are important health problems known to impact quality of life in the elderly, were observed to be more frequent in patients with anemia [ 7 ]. Owing to these negative outcomes related to anemia, it is speculated that the Hb cut-offs determined several years ago for adult men and women should be targeted at higher values for the elderly [ 8 ]. The maintenance of independence in basic activities of daily living (ADLs) represents one of the major goals in geriatric care. Functional status has shown to be an important predictor of major health-related events, such as institutionalization and death [ 9 , 10 ]. Functionality as applied to older adults may be defined as the capacity of one’s cognitive and physical performance being sufficient to fulfill the activities of daily living independently [ 9 ]. An important focus of geriatric medicine is to implement comprehensive geriatric tests, to detect factors leading to negative outcomes andto provide possible treatment options [ 11 ]. Recently, anemia has been associated with loss of physical function, independent of the underlying disease status [ 9 , 10 ]. Anemia reduces the oxygen-carrying capacity of the blood, which may lead to pathological changes that can cause fatigue, decreased exercise tolerance, and limitation of physical activity. Fatigue and dizziness can lead to falls. These symptoms may also be responsible for prolonged bed rest and limitation of physical activity [ 12 , 13 ]. However, the number of studies investigating how anemia affects functional capacity in the elderly is limited, and the factors that may cause anemia and concurrently affect daily living activities have not been eliminated in these studies. Given this background the aim of the present study was to evaluate the relationship between anemia and each of the ADLs while controlling for potentially important confounding variables. Moreover, only older females were included in the present study because of hormonal, socioeconomic and anthropometric differences between the sexes that may affect the development, of both anemia and geriatric syndromes/comprehensive geriatric assessment parameters. 2. Methods 2.1. Patients 540 patients who presented to a geriatric outpatient clinic in Turkey and underwent comprehensive geriatric assessment (CGA) were included in the study. 2.2. Inclusion/exclusion criteria Patients aged greater than or equal to 65 years who attended an appointment at a geriatric outpatient clinic were included in the study. Male patients, those with acute bleeding (e.g., massive hematuria, hematochezia, melena, hematemesis, and intra-abdominal bleeding), moderate and severe dementia, those who could not participate in CGA owing to an existing condition (e.g. delirium), those who could not walk with an assistive device, localized muscle strength reduction as a result of stroke, visual and/or hearing impairment preventing understanding of instructions during examination, those who did not want to participate, having a terminal disease (e.g. cancer), and had been hospitalized for a life-threatening illness or underwent major surgery in the last 6 months. were not included in the study. After exclusion data were collected on a total of 540 patients whose data were included in the present study analysis. 2.3. Barthel Index for Activities of Daily Living (BADL) and Lawton Instrumental Activities of Daily Living (IADL) Scale The Barthel Index for Activities of Daily Living (BADL) records the level of independence and functional status in basic daily activities, including, eating, bathing, dressing, bowel/bladder control, toileting, transfers from bed to chair, mobility on flat surfaces, and stair climbing. BADL is scored on a scale of 0 to 100 with 0 indicating dependency on another person and 100 indicating idependence.. The BADL is divided into five categories(100–91: fully independent; 99–91: mildly dependent; 62–90: moderately dependent; 61–21: highly dependent; 20–0: fully dependent) [ 14 ]. Disability levels in community-dwelling older adults were first evaluated by Lawton and Brody in 1969 who developed the Lawton Instrumental Activities of Daily Living Scale (IADL) to achieve this aim. The IADL is a commonly used assessment tool for this outcome among older adults. The IADL measures eight activities, including, using a telephone, shopping, food preparation, housekeeping, laundry, use of transportation, responsibility for taking own medication, and ability to handle finances. On the Turkish version of the IADL each individual activity is scored on a scale from 0 to between 2 and 4. Low scores indicate a high degree of dependency, and the sum of scale runs from 0 to 23. The total score is interpreted as follows: 0–8: dependent; 9–16: semi-dependent; 17–23: independent [ 15 ]. 2.4. Comprehensive geriatric assessment The following patient information was collected and recorded: age, education level, and the following comorbidities: diabetes mellitus (DM), hypertension, coronary artery disease, chronic kidney disease (CKD), chronic obstructive pulmonary disease, cerebrovascular disease, congestive heart failure, peripheral artery disease, Parkinson’s Disease, and osteoarthritis. All participants completed the Mini-Mental State Examination (MMSE), Geriatric Depression Scale-15 for neurocognitive evaluation, Tinetti Performance-Oriented Assessment of Mobility (POMA) and Timed Up and Go Test (TUG), for mobility evaluation. Moreover, the Mini Nutritional Assessment (MNA) was carried out on all patients to record nutritional status. If the total MNA score was < 17, the patient was categorized as malnourished. Patients were considered as experiencing falls if they reported having fallen at least once in the previous year except for slipping on a carpet or on wet ground [ 9 ] and a POMA score less than 19 was categorized as having a high risk of falling. A score of greater than or equal to 5 on the GDS-15 was categorized as depression. Dynapenia was defined as having a grip strength less than 16 kg [ 16 – 21 ]. 2.5. Laboratory findings To record inflammatory markers, biochemical, metabolic, and nutritional status of the patients laboratory tests were performed. These tests consisted of complete blood count, kidney and liver functions, thyroid stimulating hormone, HbA1c and iron levels, iron-binding capacity (IBC), ferritin, vitamin B12, folic acid and vitamin D (25-hydroxy D3). Creatinine clearance from the kidney was calculated using the glomerular filtration rate (GFR) by employing the chronic Renal Disease Epidemiology Collaborative (CKD-EPI) equation. Chronic Renal Failure (CRF) is defined as kidney damage or estimated GFR below 60 ml/min/1.73 m2. Anemia was considered when the hemoglobin concentration was below 12 g/dL. 2.6. Statistical analyses Descriptive data from qualitative variables are presented as numbers and percentages, and as mean, standard deviation, median, minimum, and maximum for quantitative variables. The conformity of the quantitative variables to the normal distribution was evaluated with the Kolmogorov Smirnov test. The Mann Whitney U test was used to compare the mean of two independent groups. Pearson chi-square analysis was used for comparisons between the groups in terms of the ratios of the relevant qualitative variables. Logistic regression analysis was used to evaluate the relationships between the dependent variable and the independent variables. Enter method was used as variable selection method. The statistical significance level was taken as 0.05, and the SPSS (version 26) package program was used for analyses. 3. Results Of 540 older female patients, 35.18% (n=190) had anemia. The mean age of the patients was 77.42±7.42 years. Patient characteristics, comorbidities, laboratory findings and geriatric syndromes/CGA parameters are summarized in Table 1. A significant difference was observed between the anemic and non-anemic groups in terms of age, the presence of DM, HT, CAD and CRF (p 0.05) (Table 1). Numerous laboratory parameters differed between groups with and without anemia. While MCV, iron and GFR were lower in the group with anemia, red cell distribution width and IBC were higher. All CGA parameters were more negatively affected, except for geriatric depression scale score and MMSE, geriatric syndromes were more common in patients with anemia compared to those without anemia (Table 1). Table 2 shows that after adjusting for age, in those with anemia compared to those no anemia, adverse effects on malnutrition, dynapenia, BADL, IADL, falls, the risk of falls and MMSE scores were statistically significant ( p <0.05) (Model 2). In the Model 3 multivariate analysis, adjustment was made according to age, DM, HT, CAD, and CKD. BADL [OR: 0.98 (95% CI 0.96–0.99)], IADL [OR: 0.95 (95% CI: 0.91–0.98)], dynapenia [OR: 1.62 (95% CI: 1.08–2.44)], falls (OR: 2.16 (95% CI: 1.45–3.21)], the risk of falls (OR: 1.87 (95% CI: 1.15–3.04)], MMSE [OR: 0.91 (95% CI: 0.84–0.99)] and malnutrition [OR: 1.86 (95% CI: 1.08–3.19)] scores were statistically significant (p < 0.05). In Model 4, in addition to the confounders in Model 3, MMSE and malnutrition were added to the adjustment, and the significant association of anemia with falls, the risk of falls deterioration in BADL and IADL scores remained (p < 0.05) (see Table 2). Table 3 shows that after adjusting for age, DM, HT, CAD and CKD, in those with anemia compared to those without anemia, adverse effects on feeding [OR: 2.74 (95% CI: 1.18–6.36)], bathing [OR: 1.34 (95% CI: 1.01–1.76)], dressing [OR: 1.57 (95% CI: 1.02–2.42)], mobility [OR: 0.95 (95% CI: 0.91–0.98)], and stair climbing [OR: 1.49 (95% CI: 1.13–1.97)], scores were statistically significant ( p < 0.05) (Model 1). In Model 2, in addition to the confounders in Model 1, MMSE and malnutrition were added to the adjustment, and the significant associations were observed between anemia with mobility [OR: 1.84 (95% CI: 1.28–2.64)], and stair climbing [OR: 1.36 (95% CI: 1.02–1.81)] (p < 0.05). In Model 3, in addition to the confounders in Model 2, dynapenia was added to the adjustment, and the significant association of anemia with stair climbing (p < 0.05) (see Table 3). Table 4 shows that after adjusting for age, DM, HT, CAD and CKD, in those with anemia compared to those with no anemia, adverse effects on shopping [OR: 1.23 (95% CI: 1.02–1.43)], food preparation [OR: 1.29 (95% CI: 1.08–1.53)], housekeeping [OR: 1.61 (95% CI: 1.08–2.41)] and mode of transportation [OR: 1.31 (95% CI: 1.10–1.55)] scores were statistically significant ( p < 0.05) (Model 1). In Model 2, in addition to the confounders in Model 1, MMSE and malnutrition were added to the adjustment, and the significant association of anemia with shopping [OR: 1.18 (95% CI: 1.00–1.38)], food preparation [OR: 1.22 (95% CI: 1.02–1.46)] and mode of transportation [OR: 1.25 (95% CI: 1.05–1.49)] remained. In Model 3, in addition to the confounders in Model 2, dynapenia was added to the adjustment, and the significant association of anemia with food preparation and mode of transportation (p < 0.05) remained (see Table 4). Discussion This study investigated the relationship between anemia and basic and instrumental activities of daily living in older female patients. The frequency of DM, HT, CAD, and CKD was higher in those with anemia than those without anemia. Among geriatric syndromes, depression, malnutrition, dynapenia, and cognitive impairment were more common in anemic patients. Dependence on ADLs was higher in older women with anemia than in those without. Moreover, this significant difference persisted after adjusted for the geriatric syndromes that could affect this dependence [10, 22]. Anemia in the older adults is multifactorial and is often caused by suppression of erythropoiesis due to chronic inflammation (infection, malignancy, inflammatory diseases, etc.) and nutritional deficiencies (iron, vitamin B12, and folate) [23]. However, despite all investigations, the cause of anemia cannot be determined in approximately 14% to 50% of older adults [23-24]. In the current study, we observed anemia (Hb level below 12 g/dl) in 190 (35%) of 540 patients. This prevalence value, independent of the etiology, is higher than the prevalence data obtained from other studies. For example, Stauder et al. showed the prevalence of anemia to be 10.2% in older women [4]. In another study, Semba et al. found that the prevalence of anemia was 21.4% in older women [26]. This may be related to the higher mean age of our patient group, as well as race, ethnicity, and comorbid diseases. On the other hand, Sahin et al. showed the prevalence of anemia was 58.3% in nursing homes among older women [27]. This rate is higher than our study finding, which may be explained by lower functional capacities of patients in nursing homes or more common accompanying comorbid diseases and geriatric syndromes such as malnutrition that is a leading cause of anemia. Indeed, in their review, Beghe et al. revealed that the prevalence of anemia among geriatric women ranges between 3.3% to 41% [28]. This variability may be related to several factors, including the study setting, the health status of the population in question, and the criteria used to define anemia. In our study, anemia in older women was found to be associated with DM, HT, CAD, and CKD. Indeed, DM and anemia are common conditions in older adults, and have been found to be associated with an increased level of severity of multiple comorbidities (e.g., cardiovascular diseases) as well as an increase in risk of mortality [29]. Overtime DM may lead to micro and macrovascular damage, which may have an adverse impact on the circulatory system, nervous system, kidneys, and eyes. Anemia is known to increase these complications in older diabetic patients [29]. In a study of 981 patients, Michalak et al. found the rate of patients with a diagnosis of DM to be 24.9%. In the same study, among 145 older women, 20% of patients had both anemia and DM[29]. In our study, the rate of patients with anemia and DM was calculated to be 42.6%. Differences in the frequency of coexistence of anemia and DM may be due to several factors. Current literature suggests that the coexistence of anemia and DM is commonly observed in patients who are hospitalized or under the care of specialized clinics. The level of health care, age (as the prevalence of anemia and DM increases with age), the economic situation of the country in which the study was conducted, and the geographical location (altitude) are also of importance. The etiology of anemia in DM may be owing to several key factors, including chronic inflammation, nutritional deficiencies, concomitant autoimmune diseases, concurrent HT medication (particularly, angiotensin II receptor blockers) and antihyperglycemic agents (notably, metformin), hormonal changes, and kidney disease [30-31]. In the presence of CKD, erythropoietin production is impaired and a severe hypoproliferative anemia dominates the hematologic picture [32]. In turn, anemia can lead to CKD progression, increased mortality and decreased quality of life. Since CKD is associated with geriatric syndromes that may negatively affect ADLs in the older adults, we adjusted for its effect in our study [33]. The same may also be true for anemia and cardiovascular disease. Culleton et al. demonstrated the association between anemia and cardiovascular risk. According to this study, the risk of CAD, HT and congestive heart failure is 3 to 4 times higher in the older patients with anemia [34]. Therefore, simultaneous treatment of anemia may be an important element of the management of these diseases. In our study, we found that the dependence in both basic and instrumental life activities is more common in older women with anemia. This finding is consistent with previous studies. For example, Penninx et al. found that anemia was associated with disability and decreased physical performance in older adults [10]. Moreover, just as in our study, this study showed that muscle strength is decreased in patients with anemia. However, in this study, the effect of dynapenia (decreased muscle strength) on ADLs was not eliminated, and malnutrition was not evaluated as an etiological factor of anemia [10]. Jia et al. found that anemia was significantly associated with ADLs in older Chinese females [35]. In this study, only the relationship between basic activities of daily living and anemia was examined, whereas the present study demonstrates that instrumental activities are also negatively affected by anemia. These findings suggest that lower Hb levels are associated with greater daily living activity dependence. This relationship can be associated with several possible underlying mechanisms. The impact of anemia on function and strength decline may be related to reduced muscle oxygenation [36]. Anemia-induced hypoxia is a crucial factor for cellular functions in all organs, particularly the brain and skeletal muscles, and this can result in any component of frailty, such as fatigue, weakness, depression, and impaired physical activity [22, 37-38]. Dynapenia is an important factor altering the functional capacity of the elderly and causing disability [39]. Importantly, in a study with 10-years of follow-up anemia with dynapenia was associated with higher all-cause mortality risk, independent of socioeconomic factors, health behaviors and comorbidities [40]. An association between low Hb levels and low muscle strength has previously been observed in cross-sectional studies [40]. Alexandre et al., found that anemia was associated with dynapenia in 1168 older Brazilian adults[41]. Cesari et al., in a sample of 909 older adults residing in Italy, found that those with anemia presented a weaker ankle extension strength compared to those without anemia[42]. Additionally, a recent study reported that anemia was associated with dynapenia in older women, but not in older men [22]. Decreased oxygen delivery due to low Hb levels results in chronic hypoxia. Indeed, it is possible that chronic hypoxia may damage the musculoskeletal system, reducing muscle strength and thus leading to dynapenia. In addition, anemia associated fatigue may also leas to dynapenia, as it fatigue is associated with low levels of physical activity and thus muscle disuse[43-44]. All of the above-mentioned findings relating to the impact of anemia on functionality show that it has a clear contribution to dynapenia. However, interestingly, we found that dependence in ADL (especially food preparation, climbing stairs, and transportation) was more common in older women with anemia, even after the confounding effect of dynapenia was adjusted for. This suggests that anemia may affect functionality not only through decreased muscle strength, but also through other mechanisms (eg, orthostatic hypotension or cerebral hypoperfusion). There is also a close relationship between anemia, malnutrition and functionality. Ramel et al. demonstrated that anemia was correlated with biological (albumin, prealbumin, and lymphocyte count) and clinical (body mass index, weight loss, triceps skinfold thickness, mid-arm muscle circumference) parameters of malnutrition [45]. In our study, the prevalence of malnutrition was greater in patients with anemia. Particularly, the relationship between malnutrition and shopping and food preparation suggests that nutritional problems in the elderly may cause anemia. Moreover, our findings related to stair climbing in BADL, addiction in mobility and difficulties in transportation from IADLs may be associated with malnutrition sarcopenia [46]. Therefore, it is important to control for nutritional factors when assessing functionality. A clear strength of this study includes the adequate sample size of patients with anemia. Moreover, it is advantageous that anemia screening and comprehensive geriatric evaluation were performed on the same day. A final strength is that only older women were included in the study; thus, sex-related effects were eliminated. Several limitations of this study should be considered. Firstly, those with anemia were not grouped according to the severity of the condition and were evaluated at single outpatient visit. Second, erythropoietin levels were not routinely checked in all patients, which is important in deciding whether the anemia is transient or permanent. Another limitation of the study is that functional iron deficiency (transferrin saturation 100 ng/ml) was not examined in detail. Finally, the study utilized a cross-sectional design and thus direction of associations cannot be established. In conclusion, one out of every three older women presenting to a Turkish outpatient clinic had anemia. Anemic women were older and had a higher incidence of DM, HT, CAD and CKD as comorbid diseases. Anemia is associated with dependence in both basic and instrumental activities of daily living. Particularly, cognitive dysfunction, dynapenia and malnutrition contribute to this association. However, anemia is associated with decreased functionality and increased falls, which is independent of all these factors. Therefore, older women should routinely be tested for anemia, and possible causes should be investigated and treated in order to prevent these negative outcomes. Declarations Acknowledgements The authors would like to acknowledge the participants. Authors’ contributions Abdulkadir Karismaz and Pinar Soysal conceived the idea for the study. All authors were involved in the design of the study, data analysis and interpretation, and drafting the manuscript. All authors approved the fnal manuscript. Funding No funding was provided for this study. Availability of data and materials The datasets used and analyzed during the current study will be made available from the corresponding author on reasonable request. Ethics approval and consent to participate Ethical approval was granted from Newcastle University Ethics Committee (No. 923). All participants provided informed consent and all procedures have been performed in accordance with the Declaration of Helsinki. Consent for publication Not applicable. Competing interests The authors declare no competing interests. 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Lin TH, Chang SF, Liao MT, et al. The relationships between physical function, nutrition, cognitive function, depression, and sleep quality for facility-dwelling older adults with dynapenia. BMC Geriatr. 2023;23(1):278. Luiz MM, Schneider IJC, Kuriki HU, et al. The combined effect of anemia and dynapenia on mortality risk in older adults: 10-Year evidence from the ELSA cohort study. Arch Gerontol Geriatr. 2022 Sep-Oct;102:104739. Alexandre T, da S, de Duarte YA, Santos O, J. L. F., Lebr˜ao ML. (2018). Prevalence and associated factors of sarcopenia, dynapenia, and sarcodynapenia in communitydwelling elderly in Sao Paulo – SABE Study. Rev Bras Epidemiol . 2019;21Suppl 02:e180009. Cesari M, Penninx BWJH et al. Hemoglobin Levels and Skeletal Muscle: Results From the InCHIANTI Study. Journals Gerontol Ser A: Biol Sci Med Sci, 59 (3), M249–54. Silverberg DS, Iaina A, Wexler D, Blum, et al. The pathological consequences of anaemia: The pathological consequences of anaemia. Clin Lab Haematol. 2000;23(1):1–6. Dodd SL, Powers SK, Brooks E, Crawford, et al. Effects of reduced O2 delivery with anemia, hypoxia, or ischemia on peak VO2 and force in skeletal muscle. J Appl Physiol. 1993;74(1):186–91. Ramel A, Jonsson PV, Bjornsson S, et al. Anemia, nutritional status, and inflammation in hospitalized elderly. Nutrition. 2008;24(11–12):1116–22. Gao Q, Hu K, Yan C, et al. Associated Factors of Sarcopenia in Community-Dwelling Older Adults: A Systematic Review and Meta-Analysis. Nutrients. 2021;13(12):4291. Tables Table 1. Patients’s characteristics according to anemic and non-anemic groups. Older female Anemia (-) Anemia (+) p Age, years 76.3±7.7 79.5±7.3 <0.001 Education, years 4.6±4.3 4.2±4 0.178 Comorbidities (%) Diabetes Mellitus 33.4 42.6 0.034 Hypertension 70.5 81.6 0.005 Coronary Arterial Disease 13 21.2 0.013 Chronic obstructive pulmonary disease 4.3 7.4 0.131 Cerebrovascular Disease 6.9 10 0.205 Congestive Heart Failure 8 11.6 0.171 Pulmonary Arterial Hypertension 2 1.1 0.407 Parkinson Disease 4 6.3 0.236 Osteoarthritis 23.1 24.2 0.762 Chronic Renal Failure 29.4 54.3 <0.001 Laboratory Analyses (Blood) Hemoglobin (Hb-g/dl) 13.2±0.8 10.7±1 <0.001 Hematocrit (Hct-%) 40.9±2.9 33.9±3 <0.001 Mean Corpuscular Volume (MCV-fL) 88.8±4.6 85.6±7.6 <0.001 Red Cell Distribution Width (RDW- %) 13±1.3 14.1±2.2 <0.001 White Blood Cell (WBC-mm 3 ) 7.7± 2.1 7.8± 3.5 0.501 Platelet (PLT- mm 3 ) 256.1± 66.6 263.4± 77.7 0.252 Mean platelet volüme (MPV-fl) 8.4± 1.7 8.2± 1.8 0.161 Iron (Fe-mcg/dL) 75.2 ±27.3 50.8 ±26.6 <0.001 Iron Binding Capacity (IBC-mcg/dL) 240.3 ±63.2 260± 86.4 0.050 Ferritin (ng/mL) 68.1± 81.7 82.3± 109.1 0.580 Vitamin B12 (pg/mL) 501.3±379.7 540.2±389.9 0.180 Folate (ng/mL) 8.1± 3.8 7.6 ±4 0.103 Creatinine Clearence (CrCl-ml/min) 68.3± 15.4 58.1± 17 <0.001 25-OH-D3 (VitD-ng/mL) 25.4 ±15.9 26.7± 16 0.257 Tyroid Stimulating Hormone (mU/L) 2 ±2.3 1.6± 1.6 0.251 T4 7.7 ±6.5 7.4± 6.8 0.775 Glucose(mg/dl) 119 ±49 121.4± 47.6 0.966 C-reactive Protein (CRP- mg/L) 9 ±22.9 12 ±21.6 0.058 LDL-C(mmol/L) 143.7± 42.8 124.7± 34 <0.001 Triglycerides (mmol/L) 154.6 ±84.3 144.4± 141.4 0.064 HDL-C (mmol/L) 56± 14.4 54.2± 15.8 0.189 Comprehensive Geriatric Assessment/Geriatric Syndromes MNA Total score 23± 4.5 21.1± 4.8 <0.001 Calf Circumference (cm) 36.7 4.8 36.1 4.5 0.219 Mid-arm Circumference (cm) 29.8 4.3 28.9 4.1 0.006 GDS-15 5.3± 4.3 5.6± 3.8 0.150 Hand Grip Strength (kg) 17.3± 6.2 15± 5.1 <0.001 MMSE 25.9± 2.5 25.2± 2.3 0.003 SARC-F score 3.1± 2.9 4.6± 3 <0.001 Falls, number 0.8± 1.9 1.6± 2.8 <0.001 Tinetti balance 13.7± 3.7 12.1± 4.5 <0.001 Tinetti gait 10.6± 2.5 9.5± 3.4 <0.001 Tinetti total 24.4± 5.9 21.7± 7.7 <0.001 Activities Of Daily Living BADL 88.5± 13.3 81.1± 18.5 <0.001 Feeding 9.9± 0.9 9.6± 1.7 0.020 Bathing 4.4± 1.5 3.8± 2 <0.001 Dressing 9.5± 1.7 8.8± 2.8 <0.001 Toilet use 9.8± 1.1 9.5± 1.8 0.009 Stairs 6.9± 2.7 5.5± 2.9 <0.001 Bowel continence 9.6± 1.6 9.2± 2.3 0.055 Bladder continence 6.3± 4.1 5.4± 4.1 0.005 Transfer 13.8± 2.8 12.9± 3.7 0.002 Mobility 13.7± 2.9 12.2± 2.2 <0.001 Grooming 4.5± 1.2 4.1± 1.6 0.009 IADL 17.7± 5.6 14.7± 6.4 <0.001 MNA: Mini Nutritional Assessment (0 [worst]-30 [best]); GDS-15: Geriatric Depression Scale-15 (0 [best]-15 [worst]); MMSE: Mini-Mental State Examination (0 [worst]-30 [best]); BADL: Basic activities of daily living (0 [worst]-100 [best]); IADL: Instrumental activities of daily living (0 [worst]-23 [best]); Frail total score: (0 [best]-5 [worst]); POMA: Tinetti performance oriented mobility assessment (0 [worst]-28 [best]) Table 2. Multiple logistic regression analysis of the relationship between geriatric assessment parameters/geriatric syndromes and anemia. MODEL 1 MODEL2 MODEL 3 MODEL 4 OR P OR P OR P OR p Age 1.06 (1.03-1.08) <0.001 - - - - - - DM 1.48 (1.03-2.12) 0.034 1.73(1.18-2.54 0.005 - - - - HT 1.85 (1.20-2.86) 0.005 1.59(1.02-2.48 0.040 - - - - CAD 1.80 (1.13-2.88) 0.014 1.64(1.02-1.65 0.041 - - - - CKD 2.85 (1.95-4.17 <0.001 2.33(1.56-3.48) <0.001 - - - - Malnutrıtıon 1.82 (1.13-3.03) 0.014 1.67(1.01-2.77) 0.045 1.86 (1.08-3.19) 0.024 - - Dynapenıa 2.21 (1.54-3.18) <0.001 1.79(1.22-2.62) 0.003 1.62 (1.08-2.44) 0.019 - - Falls 2.44 (1.76-3.66) <0.001 2.36(1.63-3.43) <0.001 2.16 (1.45-3.21) <0.001 2.14 (1.43-3.20) <0.001 ** The Risk Of Falls 2.40(1.6-3.68) <0.01 1.84(1.17-2.91) 0.008 1.87 (1.15-3.04) 0.011 1.71 (1.05-2.80) 0.031* MMSE 0.90 (0.84-0.97) 0.005 0.92(0.85-0.99) 0.027 0.91 (0.84-0.99) 0.037 - - BADL Score 0.970(0.95-0.98) <0.01 0.97(0.96-0.99) <0.001 0.98 (0.96-0.99) 0.03 0.98 (0.97-.99) 0.014 ** IADL Score 0.92 (0.89-0.95) <0.01 0.94(0.91-.97 <0.001 0.95 (0.91-0.98 0.003 0.96 (092-0.99) 0.035 * OR, Odds ratio; p values were still significant, even after adjustment for age, DM, HT, CAD, CKD, MMSE and malnutrition. DM:Diabetes Mellitus; HT:Hypertension; CAD:Coronary Arterial Disease; CKD: Chronic Renal Failure; MMSE: Mini-Mental State Examination (0 [worst]-30 [best]) Table-3:The Barthel activities of daily living results Model 1 Model 2 Model 3 OR P OR P OR P Feeding 2.74(1.18-6.36) 0.019 - - - - Bathing 1.34(1.01-1.76) 0.038 - - - - Dressing 1.57(1.02-2.42) 0.039 - - - - Toilet use - - - - - - Stairs 1.99(1.40-2.84) <0.001 1.84(1.28-2.64) 0.001 1.79(1.24-2.60) 0.002 Bowel continence - - - - - - Bladder continence - - - - - - Transfer - - - - - - Mobility 1.49(1.13-1.97) 0.005 1.36(1.02-1.81) 0.035 - - Grooming - - - - - - OR, Odds ratio; in model-1 p values were still significant, even after adjustment for age, DM, HT, CAD and CKD In Model 2, in addition to the confounders in Model 1, MMSE and malnutrition were added to the adjustment. In Model 3, in addition to the confounders in Model 2, dynapenia was added to the adjustment. Table-4:Lawton Instrumental Activities of Daily Living Results Model 1 Model 2 Model 3 OR P OR P OR P Ability to Use Telephone - - - - - - Shopping 1.23 (1.025-1.43) 0.008 1.18 (1.00-1.38) 0.045 - - Food Preparation 1.29 (1.08-1.53) 0.004 1.22 (1.02-1.46) 0.026 1.20 (1.00-1.44) 0.045 Housekeeping 1.61 (1.08-2.41) 0.018 - - - - Laundry - - - - - - F. Mode of Transportation 1.31 (1.10-1.55) 0.002 1.25 (1.05-1.49) 0.013 1.20 (1.00-1.44) 0.047 Responsibility for Own Medications - - - - - - Ability to Handle Finances - - - - - - OR, Odds ratio; in model-1 p values were still significant, even after adjustment DM, HT, CAD and CKD. In Model 2, in addition to the confounders in Model 1, MMSE and malnutrition were added to the adjustment. In Model 3, in addition to the confounders in Model 2, dynapenia was added to the adjustment. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 07 Sep, 2024 Read the published version in BMC Geriatrics → Version 1 posted Editorial decision: Revision requested 25 Apr, 2024 Reviews received at journal 17 Apr, 2024 Reviewers agreed at journal 12 Apr, 2024 Reviews received at journal 19 Mar, 2024 Reviewers agreed at journal 19 Mar, 2024 Reviewers invited by journal 18 Mar, 2024 Editor assigned by journal 18 Mar, 2024 Editor invited by journal 18 Mar, 2024 Submission checks completed at journal 18 Mar, 2024 First submitted to journal 04 Nov, 2023 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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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-3557455","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":281299220,"identity":"492ad076-763a-44a1-b81f-59cb2bc96bf4","order_by":0,"name":"Abdulkadir Karismaz","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA4ElEQVRIiWNgGAWjYBACCR4gkQBisfeABXj4iNfCc4aB4QCQYiNKC4SVA9bCQFCLZM/hZx8e/NkmLz/z7cHHH3PsZNgYmB8+uoFHizRvm/GMxLbbho2z85INDm5LBjqMzdg4B48WOX4GY4bEhtuMzdI5ZhIHtzEDtfCwSePXwv6ZIeHPbfs2yTMgLfWEtUjz9hgzJLDdTuyR4AFpOUxYi2TPmWIGoF+SZ/DkGBuc3Xach42ZgF8kzqRvZvzx57bt/PYzhg8qt1Xb87M3P3yMTwsWwEya8lEwCkbBKBgFWAAAYoBEIRlSYdEAAAAASUVORK5CYII=","orcid":"","institution":"University of Health Sciences, Istanbul Training and Research Hospital","correspondingAuthor":true,"prefix":"","firstName":"Abdulkadir","middleName":"","lastName":"Karismaz","suffix":""},{"id":281299221,"identity":"535ba91f-d0f4-4b9d-ad35-62e81b61103d","order_by":1,"name":"Ozge Pasin","email":"","orcid":"","institution":"Bezmialem University Faculty of Medicine","correspondingAuthor":false,"prefix":"","firstName":"Ozge","middleName":"","lastName":"Pasin","suffix":""},{"id":281299224,"identity":"fdb76e91-bedd-4ec3-b504-fa210566e24d","order_by":2,"name":"Osman Kara","email":"","orcid":"","institution":"Bahcesehir University Medical Park Goztepe Hospital","correspondingAuthor":false,"prefix":"","firstName":"Osman","middleName":"","lastName":"Kara","suffix":""},{"id":281299226,"identity":"3ef7fbe7-4db5-48dc-b1ed-70421bee81a9","order_by":3,"name":"Rafet Eren","email":"","orcid":"","institution":"Istinye University","correspondingAuthor":false,"prefix":"","firstName":"Rafet","middleName":"","lastName":"Eren","suffix":""},{"id":281299228,"identity":"b88e3ded-bfce-4155-b7e1-d14c919a5267","order_by":4,"name":"Lee Smith","email":"","orcid":"","institution":"Anglia Ruskin University","correspondingAuthor":false,"prefix":"","firstName":"Lee","middleName":"","lastName":"Smith","suffix":""},{"id":281299229,"identity":"900ac570-cb3b-486a-8f26-792c0cdfe727","order_by":5,"name":"Alper Doventas","email":"","orcid":"","institution":"Istanbul University-Cerrahpasa","correspondingAuthor":false,"prefix":"","firstName":"Alper","middleName":"","lastName":"Doventas","suffix":""},{"id":281299230,"identity":"4608098a-306a-4f44-9031-1746a2b94f9e","order_by":6,"name":"Pinar Soysal","email":"","orcid":"","institution":"Bezmialem Vakif University","correspondingAuthor":false,"prefix":"","firstName":"Pinar","middleName":"","lastName":"Soysal","suffix":""}],"badges":[],"createdAt":"2023-11-04 12:44:12","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3557455/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3557455/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s12877-024-05342-1","type":"published","date":"2024-09-07T16:05:37+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":64185938,"identity":"72f2bb5d-e735-4fb4-80ab-e45a5ca14b20","added_by":"auto","created_at":"2024-09-09 16:23:00","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":776294,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3557455/v1/6ba65c43-d074-4ed2-ab8a-24a1b28c98b5.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Associations Between Anemia and Dependence on Basic and Instrumental Activities of Daily Living in Older Women","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eThe frequency of anemia rises with increasing age, reaching a prevalence of 17% in older persons\u0026thinsp;\u0026gt;\u0026thinsp;65 years of age [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. Anemia, defined by the WHO as a hemoglobin (Hb) concentration of \u0026lt;\u0026thinsp;12 g/dl in women and \u0026lt;\u0026thinsp;13 g/dl in men, negatively impacts the health of the elderly population. However, Hb levels decline with age and may differ in different ethnic groups [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Causes of anemia in older adults include nutritional deficiency, chronic kidney disease, chronic inflammation, and occult blood loss from gastrointestinal disorders. Additionally, multiple underlying disorders have a higher prevalence among older adults, including, for example, myelodysplastic syndrome (MDS), other blood cell disorders, and cancer. In older adults, different etiologies may act synergistically contributing to the development of anemia[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe overall prevalence of anemia in elderly individuals ranges from 10\u0026ndash;24%. Older adults admitted to hospital are more likely to experience anemia (40%), and an even higher prevalence has been observed among (47%) nursing home residents [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Low Hb levels has been identified as a potentially important risk factor for cardiovascular diseases, cognitive impairment, insomnia, impaired mood, and restricted quality of life [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. In addition, the presence of anemia is significantly associated with more frequent hospitalization and longer hospital stays [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. Anemia has also been associated with geriatric syndromes in the elderly. In a study by Kara et al., anemia was found to be associated with frailty, polypharmacy, malnutrition, falls, and decreased muscle strength and therefore was concluded to be an indicator of general poor health in older women [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Moreover, insomnia and daytime sleepiness, which are important health problems known to impact quality of life in the elderly, were observed to be more frequent in patients with anemia [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Owing to these negative outcomes related to anemia, it is speculated that the Hb cut-offs determined several years ago for adult men and women should be targeted at higher values for the elderly [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe maintenance of independence in basic activities of daily living (ADLs) represents one of the major goals in geriatric care. Functional status has shown to be an important predictor of major health-related events, such as institutionalization and death [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. Functionality as applied to older adults may be defined as the capacity of one\u0026rsquo;s cognitive and physical performance being sufficient to fulfill the activities of daily living independently [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. An important focus of geriatric medicine is to implement comprehensive geriatric tests, to detect factors leading to negative outcomes andto provide possible treatment options [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. Recently, anemia has been associated with loss of physical function, independent of the underlying disease status [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. Anemia reduces the oxygen-carrying capacity of the blood, which may lead to pathological changes that can cause fatigue, decreased exercise tolerance, and limitation of physical activity. Fatigue and dizziness can lead to falls. These symptoms may also be responsible for prolonged bed rest and limitation of physical activity [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. However, the number of studies investigating how anemia affects functional capacity in the elderly is limited, and the factors that may cause anemia and concurrently affect daily living activities have not been eliminated in these studies.\u003c/p\u003e \u003cp\u003eGiven this background the aim of the present study was to evaluate the relationship between anemia and each of the ADLs while controlling for potentially important confounding variables. Moreover, only older females were included in the present study because of hormonal, socioeconomic and anthropometric differences between the sexes that may affect the development, of both anemia and geriatric syndromes/comprehensive geriatric assessment parameters.\u003c/p\u003e"},{"header":"2. Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1. Patients\u003c/h2\u003e \u003cp\u003e540 patients who presented to a geriatric outpatient clinic in Turkey and underwent comprehensive geriatric assessment (CGA) were included in the study.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2. Inclusion/exclusion criteria\u003c/h2\u003e \u003cp\u003ePatients aged greater than or equal to 65 years who attended an appointment at a geriatric outpatient clinic were included in the study. Male patients, those with acute bleeding (e.g., massive hematuria, hematochezia, melena, hematemesis, and intra-abdominal bleeding), moderate and severe dementia, those who could not participate in CGA owing to an existing condition (e.g. delirium), those who could not walk with an assistive device, localized muscle strength reduction as a result of stroke, visual and/or hearing impairment preventing understanding of instructions during examination, those who did not want to participate, having a terminal disease (e.g. cancer), and had been hospitalized for a life-threatening illness or underwent major surgery in the last 6 months. were not included in the study. After exclusion data were collected on a total of 540 patients whose data were included in the present study analysis.\u003c/p\u003e \u003cp\u003e \u003cb\u003e2.3. Barthel Index for Activities of Daily Living (BADL) and Lawton Instrumental Activities of Daily Living (IADL) Scale\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe Barthel Index for Activities of Daily Living (BADL) records the level of independence and functional status in basic daily activities, including, eating, bathing, dressing, bowel/bladder control, toileting, transfers from bed to chair, mobility on flat surfaces, and stair climbing. BADL is scored on a scale of 0 to 100 with 0 indicating dependency on another person and 100 indicating idependence.. The BADL is divided into five categories(100\u0026ndash;91: fully independent; 99\u0026ndash;91: mildly dependent; 62\u0026ndash;90: moderately dependent; 61\u0026ndash;21: highly dependent; 20\u0026ndash;0: fully dependent) [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eDisability levels in community-dwelling older adults were first evaluated by Lawton and Brody in 1969 who developed the Lawton Instrumental Activities of Daily Living Scale (IADL) to achieve this aim. The IADL is a commonly used assessment tool for this outcome among older adults. The IADL measures eight activities, including, using a telephone, shopping, food preparation, housekeeping, laundry, use of transportation, responsibility for taking own medication, and ability to handle finances. On the Turkish version of the IADL each individual activity is scored on a scale from 0 to between 2 and 4. Low scores indicate a high degree of dependency, and the sum of scale runs from 0 to 23. The total score is interpreted as follows: 0\u0026ndash;8: dependent; 9\u0026ndash;16: semi-dependent; 17\u0026ndash;23: independent [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.4. Comprehensive geriatric assessment\u003c/h2\u003e \u003cp\u003eThe following patient information was collected and recorded: age, education level, and the following comorbidities: diabetes mellitus (DM), hypertension, coronary artery disease, chronic kidney disease (CKD), chronic obstructive pulmonary disease, cerebrovascular disease, congestive heart failure, peripheral artery disease, Parkinson\u0026rsquo;s Disease, and osteoarthritis. All participants completed the Mini-Mental State Examination (MMSE), Geriatric Depression Scale-15 for neurocognitive evaluation, Tinetti Performance-Oriented Assessment of Mobility (POMA) and Timed Up and Go Test (TUG), for mobility evaluation. Moreover, the Mini Nutritional Assessment (MNA) was carried out on all patients to record nutritional status. If the total MNA score was \u0026lt;\u0026thinsp;17, the patient was categorized as malnourished. Patients were considered as experiencing falls if they reported having fallen at least once in the previous year except for slipping on a carpet or on wet ground [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e] and a POMA score less than 19 was categorized as having a high risk of falling. A score of greater than or equal to 5 on the GDS-15 was categorized as depression. Dynapenia was defined as having a grip strength less than 16 kg [\u003cspan additionalcitationids=\"CR17 CR18 CR19 CR20\" citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e2.5. Laboratory findings\u003c/h2\u003e \u003cp\u003eTo record inflammatory markers, biochemical, metabolic, and nutritional status of the patients laboratory tests were performed. These tests consisted of complete blood count, kidney and liver functions, thyroid stimulating hormone, HbA1c and iron levels, iron-binding capacity (IBC), ferritin, vitamin B12, folic acid and vitamin D (25-hydroxy D3). Creatinine clearance from the kidney was calculated using the glomerular filtration rate (GFR) by employing the chronic Renal Disease Epidemiology Collaborative (CKD-EPI) equation. Chronic Renal Failure (CRF) is defined as kidney damage or estimated GFR below 60 ml/min/1.73 m2.\u003c/p\u003e \u003cp\u003eAnemia was considered when the hemoglobin concentration was below 12 g/dL.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003e2.6. Statistical analyses\u003c/h2\u003e \u003cp\u003eDescriptive data from qualitative variables are presented as numbers and percentages, and as mean, standard deviation, median, minimum, and maximum for quantitative variables. The conformity of the quantitative variables to the normal distribution was evaluated with the Kolmogorov Smirnov test. The Mann Whitney U test was used to compare the mean of two independent groups. Pearson chi-square analysis was used for comparisons between the groups in terms of the ratios of the relevant qualitative variables. Logistic regression analysis was used to evaluate the relationships between the dependent variable and the independent variables. Enter method was used as variable selection method. The statistical significance level was taken as 0.05, and the SPSS (version 26) package program was used for analyses.\u003c/p\u003e \u003c/div\u003e"},{"header":"3. Results","content":"\u003cp\u003eOf 540 older female patients, 35.18% (n=190) had anemia. The mean age of the patients was 77.42\u0026plusmn;7.42 years. Patient characteristics, comorbidities, laboratory findings and geriatric syndromes/CGA parameters are summarized in \u003cstrong\u003eTable 1.\u003c/strong\u003e A significant difference was observed between the anemic and non-anemic groups in terms of age, the presence of DM, HT, CAD and CRF (p \u0026lt;0.05). There was no difference between the two groups in terms of education and other comorbidities (p\u0026gt;0.05) (Table 1).\u003c/p\u003e\n\u003cp\u003eNumerous laboratory parameters differed between groups with and without anemia. While MCV, iron and GFR were lower in the group with anemia, red cell distribution width and IBC were higher. All CGA parameters were more negatively affected, except for geriatric depression scale score and MMSE, geriatric syndromes were more common in patients with anemia compared to those without anemia (Table 1).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2\u003c/strong\u003e shows that after adjusting for age, in those with anemia compared to those no anemia, adverse effects on malnutrition, dynapenia, BADL, IADL, falls, the risk of falls and MMSE scores were statistically significant (\u003cem\u003ep\u003c/em\u003e\u0026lt;0.05)\u0026nbsp;(Model 2). In the Model 3 multivariate analysis, adjustment was made according to age,\u0026nbsp;DM, HT, CAD, and CKD. \u0026nbsp;BADL [OR: 0.98 (95% CI 0.96\u0026ndash;0.99)], IADL [OR: 0.95 (95% CI: 0.91\u0026ndash;0.98)], dynapenia [OR: 1.62 (95% CI: 1.08\u0026ndash;2.44)], falls (OR: 2.16 (95% CI: 1.45\u0026ndash;3.21)], the risk of falls (OR: 1.87 (95% CI: 1.15\u0026ndash;3.04)], \u0026nbsp;MMSE [OR: 0.91 (95% CI: 0.84\u0026ndash;0.99)] and malnutrition [OR: 1.86 (95% CI: 1.08\u0026ndash;3.19)] scores were statistically significant (p \u0026lt; 0.05).\u0026nbsp;In Model 4, in addition to the confounders in Model 3, MMSE and malnutrition were added to the adjustment, and the significant association of anemia with falls, the risk of falls deterioration in BADL and IADL scores remained (p \u0026lt; 0.05) (see Table 2).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3\u003c/strong\u003e shows that after adjusting for age,\u0026nbsp;DM, HT, CAD and CKD, in those with anemia compared to those without anemia, adverse effects on feeding [OR: 2.74 (95% CI: 1.18\u0026ndash;6.36)], \u0026nbsp;bathing [OR: 1.34 (95% CI: 1.01\u0026ndash;1.76)], dressing [OR: 1.57 (95% CI: 1.02\u0026ndash;2.42)], mobility [OR: 0.95 (95% CI: 0.91\u0026ndash;0.98)], and stair climbing [OR: 1.49 (95% CI: 1.13\u0026ndash;1.97)], \u0026nbsp;scores were statistically significant (\u003cem\u003ep\u0026nbsp;\u003c/em\u003e\u0026lt; 0.05)\u0026nbsp;(Model 1). In Model 2, in addition to the confounders in Model 1, MMSE and malnutrition were added to the adjustment, and the significant associations were observed between anemia with mobility [OR: 1.84 (95% CI: 1.28\u0026ndash;2.64)], and stair climbing [OR: 1.36 (95% CI: 1.02\u0026ndash;1.81)] (p \u0026lt; 0.05). In Model 3, in addition to the confounders in Model 2, dynapenia was added to the adjustment, and the significant association of anemia with stair climbing (p \u0026lt; 0.05) (see Table 3).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4\u003c/strong\u003e shows that after adjusting for age,\u0026nbsp;DM, HT, CAD and CKD, in those with anemia compared to those with no anemia, adverse effects on shopping [OR: 1.23 (95% CI: 1.02\u0026ndash;1.43)], \u0026nbsp;food preparation [OR: 1.29 (95% CI: 1.08\u0026ndash;1.53)], housekeeping [OR: 1.61 (95% CI: 1.08\u0026ndash;2.41)] and mode of transportation [OR: 1.31 (95% CI: 1.10\u0026ndash;1.55)] scores were statistically significant (\u003cem\u003ep\u0026nbsp;\u003c/em\u003e\u0026lt; 0.05) (Model 1). In Model 2, in addition to the confounders in Model 1, MMSE and malnutrition were added to the adjustment, and the significant association of anemia with shopping [OR: 1.18 (95% CI: 1.00\u0026ndash;1.38)], \u0026nbsp; food preparation [OR: 1.22 (95% CI: 1.02\u0026ndash;1.46)] and mode of transportation [OR: 1.25 (95% CI: 1.05\u0026ndash;1.49)] remained. In Model 3, in addition to the confounders in Model 2, dynapenia was added to the adjustment, and the significant association of anemia with food preparation and mode of transportation (p \u0026lt; 0.05) remained (see Table 4).\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThis study investigated\u0026nbsp;the relationship between anemia and basic and instrumental activities of daily living in older female patients. The frequency of DM, HT, CAD, and CKD was higher in those with anemia than those without anemia. Among geriatric syndromes, depression, malnutrition, dynapenia, and cognitive impairment were more common in anemic patients. Dependence on ADLs was higher in older women with anemia than in those without. Moreover, this significant difference persisted after adjusted for the geriatric syndromes that could affect this dependence\u0026nbsp; [10, 22].\u003c/p\u003e\n\u003cp\u003eAnemia in the older adults is multifactorial and is often caused by suppression of erythropoiesis due to chronic inflammation (infection, malignancy, inflammatory diseases, etc.) and nutritional deficiencies (iron, vitamin B12, and folate) [23]. However, despite all investigations, the cause of anemia cannot be determined in approximately 14% to 50% of older adults [23-24]. In the current study, we observed anemia (Hb level below 12 g/dl) in 190 (35%) of 540 patients. This prevalence value, independent of the etiology, is higher than the prevalence data obtained from other studies. For example, Stauder et al. showed the prevalence of anemia to be 10.2% in older women [4]. In another study, Semba et al. found that the prevalence of anemia was 21.4% in older women [26]. This may be related to the higher mean age of our patient group, as well as race, ethnicity, and comorbid diseases. On the other hand, Sahin et al. showed the prevalence of anemia was 58.3% in nursing homes among older women [27]. This rate is higher than our study finding, which may be explained by lower functional capacities of patients in nursing homes or more common accompanying comorbid diseases and geriatric syndromes such as malnutrition that is a leading cause of anemia. Indeed, in their review, Beghe et al. revealed that the prevalence of anemia among geriatric women ranges between 3.3% to 41% [28]. This variability may be related to several factors, including the study setting, the health status of the population in question, and the criteria used to define anemia.\u003c/p\u003e\n\u003cp\u003eIn our study, anemia in older women was found to be associated with DM, HT, CAD, and CKD. Indeed, DM and anemia are common conditions in older adults, and have been found to be \u0026nbsp;associated with an increased level of severity of multiple comorbidities (e.g., cardiovascular diseases) as well as an increase in risk of mortality [29]. Overtime DM may lead to micro and macrovascular damage, which may have an adverse impact on the circulatory system, nervous system, kidneys, and eyes. Anemia is known to increase these complications in older diabetic patients [29]. In a study of 981 patients, Michalak et al. found the rate of patients with a diagnosis of DM to be 24.9%. In the same study, among 145 older women, 20% of patients had both anemia and DM[29]. In our study, the rate of patients with anemia and DM was calculated to be 42.6%. Differences in the frequency of coexistence of anemia and DM may be due to several factors. Current literature suggests that the coexistence of anemia and DM is commonly observed in patients who are hospitalized or under the care of specialized clinics. The level of health care, age (as the prevalence of anemia and DM increases with age), the economic situation of the country in which the study was conducted, and the geographical location (altitude) are also of importance. The etiology of anemia in DM may be owing to several key factors, including chronic inflammation, nutritional deficiencies, concomitant autoimmune diseases, concurrent HT medication (particularly, angiotensin II receptor blockers) and antihyperglycemic agents (notably, metformin), hormonal changes, and kidney disease [30-31]. In the presence of CKD, erythropoietin production is impaired and a severe hypoproliferative anemia dominates the hematologic picture [32]. In turn, anemia can lead to CKD progression, increased mortality and decreased quality of life. Since CKD is associated with geriatric syndromes that may negatively affect ADLs in the older adults, we adjusted for its effect in our study [33]. The same may also be true for anemia and cardiovascular disease. Culleton et al. demonstrated the association between anemia and cardiovascular risk. According to this study, the risk of CAD, HT and congestive heart failure is 3 to 4 times higher in the older patients with anemia [34]. Therefore, simultaneous treatment of anemia may be an important element of the management of these diseases.\u003c/p\u003e\n\u003cp\u003eIn our study, we found that the dependence in both basic and instrumental life activities is more common in older women with anemia. This finding is consistent with previous studies. For example, Penninx et al. found that anemia was associated with disability and decreased physical performance in older adults [10]. Moreover, just as in our study, this study showed that muscle strength is decreased in patients with anemia. However, in this study, the effect of dynapenia (decreased muscle strength) on ADLs was not eliminated, and malnutrition was not evaluated as an etiological factor of anemia [10]. \u0026nbsp;Jia et al. found that anemia was significantly associated with ADLs in older Chinese females [35]. In this study, only the relationship between basic activities of daily living and anemia was examined, whereas the present study demonstrates \u0026nbsp;that instrumental activities are also negatively affected by anemia. These findings suggest that lower Hb levels are associated with greater daily living activity dependence. This relationship can be associated with several possible underlying mechanisms. The impact of anemia on function and strength decline may be related to reduced muscle oxygenation [36]. Anemia-induced hypoxia is a crucial factor for cellular functions in all organs, particularly the brain and skeletal muscles, and this can result in any component of frailty, such as fatigue, weakness, depression, and impaired physical activity [22, 37-38].\u003c/p\u003e\n\u003cp\u003eDynapenia is an important factor altering the functional capacity of the elderly and causing disability [39]. Importantly, in a study with 10-years of follow-up anemia with dynapenia was associated with higher all-cause mortality risk, independent of socioeconomic factors, health behaviors and comorbidities [40]. An association between low Hb levels and low muscle strength has previously been observed in cross-sectional studies [40]. Alexandre et al., found that anemia was associated with dynapenia in 1168 older Brazilian adults[41]. Cesari et al., in a sample of \u0026nbsp;909 older adults residing in Italy, found that those with anemia \u0026nbsp;presented a weaker ankle extension strength compared to those without anemia[42]. Additionally, a recent study reported that anemia was associated with dynapenia in older women, but not in older men [22]. Decreased oxygen delivery due to low Hb levels results in chronic hypoxia. Indeed, it is possible that chronic hypoxia may damage the musculoskeletal system, reducing muscle strength and thus leading \u0026nbsp;to dynapenia. In addition, anemia associated fatigue may also leas to dynapenia, as it fatigue is associated with low levels of physical activity and thus muscle disuse[43-44]. \u0026nbsp;All of the above-mentioned findings relating to the impact of anemia on functionality show that it has a clear contribution to dynapenia. However, interestingly, we found that dependence in ADL (especially food preparation, climbing stairs, and transportation) was more common in older women with anemia, even after the confounding effect of dynapenia was adjusted for. This suggests that anemia may affect functionality not only through decreased muscle strength, but also through other mechanisms (eg, orthostatic hypotension or cerebral hypoperfusion).\u003c/p\u003e\n\u003cp\u003eThere is also a close relationship between anemia, malnutrition and functionality. Ramel et al. demonstrated that anemia was correlated with biological (albumin, prealbumin, and lymphocyte count) and clinical (body mass index, weight loss, triceps skinfold thickness, mid-arm muscle circumference) parameters of malnutrition [45]. In our study, the prevalence of malnutrition was greater in patients with anemia. Particularly, the relationship between malnutrition and shopping and food preparation suggests that nutritional problems in the elderly may cause anemia. Moreover, our findings related to stair climbing in BADL, addiction in mobility and difficulties in transportation from IADLs may be associated with malnutrition sarcopenia [46]. \u0026nbsp;Therefore, it is important to control for nutritional factors when assessing functionality.\u003c/p\u003e\n\u003cp\u003eA clear strength of this study includes the adequate sample size of patients with anemia. Moreover, it is advantageous that anemia screening and comprehensive geriatric evaluation were performed on the same day. A final strength is that only older women were included in the study; thus, sex-related effects were eliminated. Several limitations of this study should be considered. Firstly, those with anemia were not grouped according to the severity of the condition \u0026nbsp;and were evaluated at \u0026nbsp;single outpatient visit. Second, erythropoietin levels were not routinely checked in all patients, which is important in deciding whether the anemia is transient or permanent. Another limitation of the study is that functional iron deficiency (transferrin saturation \u0026lt;20%, ferritin \u0026gt;100 ng/ml) was not examined in detail. Finally, the study utilized a cross-sectional design and thus direction of \u0026nbsp;associations cannot be established.\u003c/p\u003e\n\u003cp\u003eIn conclusion, one out of every three older women presenting to a Turkish outpatient clinic had anemia. Anemic women were older and had a higher incidence of DM, HT, CAD and CKD as comorbid diseases. Anemia is associated with dependence in both basic and instrumental activities of daily living. Particularly, cognitive dysfunction, dynapenia and malnutrition contribute to this association. However, anemia is associated with decreased functionality and increased falls, which is independent of all these factors. Therefore, older women should routinely be tested for anemia, and possible causes should be investigated and treated in order to prevent these negative outcomes.\u0026nbsp;\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors would like to acknowledge the participants.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo; contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAbdulkadir Karismaz and Pinar Soysal conceived the idea for the study. All authors were involved in the design of the study, data analysis and interpretation, and drafting the manuscript. All authors approved the fnal manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo funding was provided for this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets used and analyzed during the current study will be made available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEthical approval was granted from Newcastle University Ethics Committee (No. 923). All participants provided informed consent and all procedures have been performed in accordance with the Declaration of Helsinki.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor details\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e1 Department of Hematology, University of Health Sciences, Istanbul Training and Research Hospital, İstanbul, Turkiye. 2 Department of Biostatistics, Bezmialem University Faculty of Medicine, Istanbul, Turkiye. 3 Department of Hematology, Bahcesehir University Medical Park Goztepe Hospital, Istanbul, Turkiye. 4 Department of Hematology, Biruni University Faculty of Medicine, Biruni University Hospital, Istanbul, Turkiye.5 Centre for Health Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK. 6 Division of Geriatric Medicine, Department of Internal Medicine, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey. 7 Department of Geriatric Medicine, Faculty of Medicine, Bezmialem Vakif University, Istanbul, Turkiye.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eGaskell H, Derry S, Andrew Moore R, et al. Prevalence of anaemia in older persons: systematic review. BMC Geriatr. 2008;8:1.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKikuchi M, Inagaki T, Shinagawa N. Five-year survival of older people with anemia: variation with hemoglobin concentration. J Am Geriatr Soc. 2001;49(9):1226\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMerchant AA, Roy CN. Not so benign haematology: anaemia of the elderly. Br J Haematol. 2012;156(2):173\u0026ndash;85.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eStauder R, Thein SL. Anemia in the elderly: clinical implications and new therapeutic concepts. Haematologica. 2014;99(7):1127\u0026ndash;30.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eStauder R, Valent P, Theurl I. Anemia at older age: etiologies, clinical implications, and management. 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Z Gerontol Geriatr. 2018;51(8):921\u0026ndash;3.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDurmaz B, Soysal P, Ellidokuz H, et al. Validity and reliability of geriatric depression scale-15 (short form) in Turkish older adults. North Clin Istanbul. 2018;5(3):216\u0026ndash;20.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSakurai R, Kim Y, Inagaki H, et al. MMSE Cutoff Discriminates Hippocampal Atrophy: neural Evidence for the Cutoff of 24 Points. J Am Geriatr Soc United States. 2021;69:839\u0026ndash;41.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSoysal P, Smith L, Isik AT. Validation of population-based cut-offs for low muscle mass and strength. Eur Geriatric Med Switz. 2020;11:713\u0026ndash;4.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol Ser Biol Sci Med Sci. 2001;56:M146\u0026ndash;57.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSoysal P, Isik AT, Arik F, et al. Validity of the mini-nutritional assessment scale for evaluating frailty status in older adults. J Am Med Dir Assoc. 2019;20(2):183\u0026ndash;7.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003e\u0026Ouml;zt\u0026uuml;rk E, \u0026Ccedil;iğiloğlu A, Efendioğlu EM, et al. A different outlook to consequences of anemia in older adults. Postgrad Med. 2023;135(5):486\u0026ndash;92.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGuralnik JM, Eisenstaedt RS, Ferrucci L, et al. Prevalence of anemia in persons 65 years and older in the United States: evidence for a high rate of unexplained anemia. Blood. 2004;104(8):2263\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJoosten E, Pelemans W, Hiele M, et al. Prevalence and causes of anaemia in a geriatric hospitalized population. Gerontology. 1992;38(1\u0026ndash;2):111\u0026ndash;7.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAn\u0026iacute;a BJ, Suman VJ, Fairbanks VF, et al. Incidence of anemia in older people: an epidemiologic study in a well defined population. J Am Geriatr Soc. 1997;45(7):825\u0026ndash;31.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSemba RD, Ricks MO, Ferrucci L, et al. Types of anemia and mortality among older disabled women living in the community: the Women's Health and Aging Study I. Aging Clin Exp Res. 2007;19(4):259\u0026ndash;64.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSahin S, Tasar PT, Simsek H, et al. Prevalence of anemia and malnutrition and their association in elderly nursing home residents. Aging Clin Exp Res. 2016;28(5):857\u0026ndash;62.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBegh\u0026eacute; C, Wilson A, Ershler WB. Prevalence and outcomes of anemia in geriatrics: a systematic review of the literature. Am J Med. 2004;116(Suppl 7A):S3\u0026ndash;10.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMichalak SS, Wolny-Rokicka E, Nowakowska E, et al. Clinical Implications of the Coexistence of Anemia and Diabetes Mellitus in the Elderly Population. J Diabetes Res. 2021;2021:8745968.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAngelousi A, Larger E. Anaemia, a common but often unrecognized risk in diabetic patients: a review. Diabetes Metab. 2015;41:18e27.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDonnelly LA, Dennis JM, Coleman RL, et al. Risk of anemia with metformin use in type 2 diabetes: a Mastermind study. Diabetes Care. 2020;43:2493e9.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAdamson JW. Renal disease and anemia in the elderly. Semin Hematol. 2008;45(4):235\u0026ndash;41.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSoysal P, Heybeli C, Koc Okudur S, et al. Prevalence and co-incidence of geriatric syndromes according to glomerular filtration rate in older patients. Int Urol Nephrol. 2023;55(2):469\u0026ndash;76.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCulleton BF, Manns BJ, Zhang J, et al. Impact of anemia on hospitalization and mortality in older adults. Blood. 2006;107(10):3841\u0026ndash;6.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHan K, Wang S, Jia W, et al. Serum albumin and activities of daily living in Chinese centenarians: a cross-sectional study. BMC Geriatr. 2020;20(1):228.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCollard RM, Boter H, Schoevers RA, et al. Prevalence of frailty in community-dwelling older persons: a systematic review. J Am Geriatr Soc. 2012;60:1487\u0026ndash;92.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDodd SL, Powers SK, Brooks E, et al. Effects of reduced O2 delivery with anemia, hypoxia, or ischemia on peak VO2 and force in skeletal muscle. J Appl Physiol. 1993;74:186\u0026ndash;91.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRoubenoff R. Catabolism of aging: is it an inflammatory process? Curr Opin Clin Nutr Metab Care. 2003;6:295\u0026ndash;9.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLin TH, Chang SF, Liao MT, et al. The relationships between physical function, nutrition, cognitive function, depression, and sleep quality for facility-dwelling older adults with dynapenia. BMC Geriatr. 2023;23(1):278.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLuiz MM, Schneider IJC, Kuriki HU, et al. The combined effect of anemia and dynapenia on mortality risk in older adults: 10-Year evidence from the ELSA cohort study. Arch Gerontol Geriatr. 2022 Sep-Oct;102:104739.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAlexandre T, da S, de Duarte YA, Santos O, J. L. F., Lebr˜ao ML. (2018). Prevalence and associated factors of sarcopenia, dynapenia, and sarcodynapenia in communitydwelling elderly in Sao Paulo \u0026ndash; SABE Study. \u003cem\u003eRev Bras Epidemiol\u003c/em\u003e. 2019;21Suppl 02:e180009.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCesari M, Penninx BWJH et al. Hemoglobin Levels and Skeletal Muscle: Results From the InCHIANTI Study. Journals Gerontol Ser A: Biol Sci Med Sci, \u003cem\u003e59\u003c/em\u003e(3), M249\u0026ndash;54.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSilverberg DS, Iaina A, Wexler D, Blum, et al. The pathological consequences of anaemia: The pathological consequences of anaemia. Clin Lab Haematol. 2000;23(1):1\u0026ndash;6.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDodd SL, Powers SK, Brooks E, Crawford, et al. Effects of reduced O2 delivery with anemia, hypoxia, or ischemia on peak VO2 and force in skeletal muscle. J Appl Physiol. 1993;74(1):186\u0026ndash;91.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRamel A, Jonsson PV, Bjornsson S, et al. Anemia, nutritional status, and inflammation in hospitalized elderly. Nutrition. 2008;24(11\u0026ndash;12):1116\u0026ndash;22.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGao Q, Hu K, Yan C, et al. Associated Factors of Sarcopenia in Community-Dwelling Older Adults: A Systematic Review and Meta-Analysis. Nutrients. 2021;13(12):4291.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cstrong\u003eTable 1.\u0026nbsp;\u003c/strong\u003ePatients\u0026rsquo;s characteristics according to anemic and non-anemic groups.\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"69.83695652173913%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eOlder female\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAnemia (-)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAnemia (+)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ep\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eAge, years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e76.3\u0026plusmn;7.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e79.5\u0026plusmn;7.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eEducation, years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e4.6\u0026plusmn;4.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e4.2\u0026plusmn;4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.178\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eComorbidities (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eDiabetes Mellitus\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e33.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e42.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.034\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eHypertension\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e70.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e81.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eCoronary Arterial Disease\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e21.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.013\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eChronic obstructive\u003c/p\u003e\n \u003cp\u003epulmonary disease\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e4.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e7.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.131\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eCerebrovascular Disease\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e6.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.205\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eCongestive Heart Failure\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e11.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.171\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003ePulmonary Arterial Hypertension\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e1.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.407\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eParkinson Disease\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e6.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.236\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eOsteoarthritis\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e23.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e24.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.762\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eChronic Renal Failure\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e29.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e54.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLaboratory Analyses (Blood)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eHemoglobin (Hb-g/dl)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e13.2\u0026plusmn;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e10.7\u0026plusmn;1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eHematocrit (Hct-%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e40.9\u0026plusmn;2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e33.9\u0026plusmn;3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eMean Corpuscular Volume (MCV-fL)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e88.8\u0026plusmn;4.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e85.6\u0026plusmn;7.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eRed Cell Distribution Width (RDW- %)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e13\u0026plusmn;1.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e14.1\u0026plusmn;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eWhite Blood Cell (WBC-mm\u003csup\u003e3\u003c/sup\u003e)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e7.7\u0026plusmn; 2.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e7.8\u0026plusmn; 3.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.501\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003ePlatelet (PLT- mm\u003csup\u003e3\u003c/sup\u003e)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e256.1\u0026plusmn; 66.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e263.4\u0026plusmn; 77.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.252\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eMean platelet vol\u0026uuml;me (MPV-fl)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e8.4\u0026plusmn; 1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e8.2\u0026plusmn; 1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.161\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eIron (Fe-mcg/dL)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e75.2 \u0026plusmn;27.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e50.8 \u0026plusmn;26.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eIron Binding Capacity (IBC-mcg/dL)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e240.3 \u0026plusmn;63.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e260\u0026plusmn; 86.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.050\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eFerritin (ng/mL)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e68.1\u0026plusmn; 81.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e82.3\u0026plusmn; 109.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.580\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eVitamin B12 (pg/mL)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e501.3\u0026plusmn;379.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e540.2\u0026plusmn;389.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.180\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eFolate (ng/mL)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e8.1\u0026plusmn; 3.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e7.6 \u0026plusmn;4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.103\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eCreatinine Clearence (CrCl-ml/min)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e68.3\u0026plusmn; 15.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e58.1\u0026plusmn; 17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003e25-OH-D3 (VitD-ng/mL)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e25.4 \u0026plusmn;15.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e26.7\u0026plusmn; 16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.257\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eTyroid Stimulating Hormone (mU/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e2 \u0026plusmn;2.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e1.6\u0026plusmn; 1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.251\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eT4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e7.7 \u0026plusmn;6.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e7.4\u0026plusmn; 6.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.775\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eGlucose(mg/dl)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e119 \u0026plusmn;49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e121.4\u0026plusmn; 47.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.966\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eC-reactive Protein (CRP- mg/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e9 \u0026plusmn;22.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e12 \u0026plusmn;21.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.058\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eLDL-C(mmol/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e143.7\u0026plusmn; 42.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e124.7\u0026plusmn; 34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eTriglycerides (mmol/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e154.6 \u0026plusmn;84.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e144.4\u0026plusmn; 141.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.064\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eHDL-C (mmol/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e56\u0026plusmn; 14.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e54.2\u0026plusmn; 15.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.189\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eComprehensive Geriatric Assessment/Geriatric Syndromes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eMNA Total score\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e23\u0026plusmn; 4.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e21.1\u0026plusmn; 4.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eCalf Circumference (cm)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e36.7 4.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e36.1 4.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.219\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eMid-arm Circumference (cm)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e29.8 4.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e28.9 4.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eGDS-15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e5.3\u0026plusmn; 4.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e5.6\u0026plusmn; 3.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.150\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eHand Grip Strength (kg)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e17.3\u0026plusmn; 6.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e15\u0026plusmn; 5.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eMMSE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e25.9\u0026plusmn; 2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e25.2\u0026plusmn; 2.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eSARC-F score\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e3.1\u0026plusmn; 2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e4.6\u0026plusmn; 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eFalls, number\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e0.8\u0026plusmn; 1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e1.6\u0026plusmn; 2.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eTinetti balance\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e13.7\u0026plusmn; 3.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e12.1\u0026plusmn; 4.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eTinetti gait\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e10.6\u0026plusmn; 2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e9.5\u0026plusmn; 3.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eTinetti total\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e24.4\u0026plusmn; 5.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e21.7\u0026plusmn; 7.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eActivities Of Daily Living\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eBADL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e88.5\u0026plusmn; 13.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e81.1\u0026plusmn; 18.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eFeeding\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e9.9\u0026plusmn; 0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e9.6\u0026plusmn; 1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.020\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eBathing\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e4.4\u0026plusmn; 1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e3.8\u0026plusmn; 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eDressing\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e9.5\u0026plusmn; 1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e8.8\u0026plusmn; 2.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eToilet use\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e9.8\u0026plusmn; 1.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e9.5\u0026plusmn; 1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eStairs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e6.9\u0026plusmn; 2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e5.5\u0026plusmn; 2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eBowel continence\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e9.6\u0026plusmn; 1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e9.2\u0026plusmn; 2.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.055\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eBladder continence\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e6.3\u0026plusmn; 4.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e5.4\u0026plusmn; 4.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eTransfer\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e13.8\u0026plusmn; 2.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e12.9\u0026plusmn; 3.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eMobility\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e13.7\u0026plusmn; 2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e12.2\u0026plusmn; 2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eGrooming\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e4.5\u0026plusmn; 1.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e4.1\u0026plusmn; 1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30.16304347826087%\" valign=\"top\"\u003e\n \u003cp\u003eIADL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e17.7\u0026plusmn; 5.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.184782608695652%\" valign=\"top\"\u003e\n \u003cp\u003e14.7\u0026plusmn; 6.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.467391304347824%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;MNA: Mini Nutritional Assessment (0 [worst]-30 [best]); GDS-15: Geriatric Depression Scale-15 (0 [best]-15 [worst]); MMSE: Mini-Mental State Examination (0 [worst]-30 [best]); BADL: Basic activities of daily living (0 [worst]-100 [best]); IADL: Instrumental activities of daily living (0 [worst]-23 [best]); \u0026nbsp;Frail total score: (0 [best]-5 [worst]); POMA: Tinetti performance oriented mobility assessment (0 [worst]-28 [best])\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2.\u0026nbsp;\u003c/strong\u003eMultiple logistic regression analysis of the relationship between geriatric assessment parameters/geriatric syndromes and anemia.\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"737\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.81571815718157%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMODEL 1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.81571815718157%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMODEL2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.460704607046072%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMODEL 3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.81571815718157%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMODEL 4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003eOR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003eOR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.737127371273713%\" valign=\"top\"\u003e\n \u003cp\u003eOR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003eOR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003eAge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e1.06 (1.03-1.08)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.737127371273713%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003eDM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e1.48 (1.03-2.12)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.034\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e1.73(1.18-2.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.737127371273713%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003eHT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e1.85 (1.20-2.86)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e1.59(1.02-2.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.040\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.737127371273713%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003eCAD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e1.80 (1.13-2.88)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.014\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e1.64(1.02-1.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.041\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.737127371273713%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003eCKD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e2.85 (1.95-4.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e2.33(1.56-3.48)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.737127371273713%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003eMalnutrıtıon\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e1.82 (1.13-3.03)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.014\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e1.67(1.01-2.77)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.045\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.737127371273713%\" valign=\"top\"\u003e\n \u003cp\u003e1.86 (1.08-3.19)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.024\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003eDynapenıa\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e2.21 (1.54-3.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e1.79(1.22-2.62)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.737127371273713%\" valign=\"top\"\u003e\n \u003cp\u003e1.62 (1.08-2.44)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003eFalls\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e2.44 (1.76-3.66)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e2.36(1.63-3.43)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.737127371273713%\" valign=\"top\"\u003e\n \u003cp\u003e2.16 (1.45-3.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e2.14 (1.43-3.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001 **\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003eThe Risk Of Falls\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e2.40(1.6-3.68)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e1.84(1.17-2.91)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.737127371273713%\" valign=\"top\"\u003e\n \u003cp\u003e1.87 (1.15-3.04)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.011\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e1.71 (1.05-2.80)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.031*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003eMMSE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e0.90 (0.84-0.97)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e0.92(0.85-0.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.027\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.737127371273713%\" valign=\"top\"\u003e\n \u003cp\u003e0.91 (0.84-0.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.037\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003eBADL Score\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e0.970(0.95-0.98)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e0.97(0.96-0.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.737127371273713%\" valign=\"top\"\u003e\n \u003cp\u003e0.98 (0.96-0.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e0.98 (0.97-.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.014\u003c/p\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003eIADL Score\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e0.92 (0.89-0.95)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e0.94(0.91-.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.737127371273713%\" valign=\"top\"\u003e\n \u003cp\u003e0.95 (0.91-0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092140921409214%\" valign=\"top\"\u003e\n \u003cp\u003e0.96 (092-0.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.723577235772358%\" valign=\"top\"\u003e\n \u003cp\u003e0.035 *\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;OR, Odds ratio; p values were still significant, even after adjustment for age, DM, HT, CAD, CKD, MMSE and malnutrition.\u003c/p\u003e\n\u003cp\u003eDM:Diabetes Mellitus; HT:Hypertension; CAD:Coronary Arterial Disease; CKD: Chronic Renal Failure; MMSE: Mini-Mental State Examination (0 [worst]-30 [best])\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable-3:The Barthel activities of daily living results\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.167202572347268%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.421221864951768%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eModel 1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.205787781350484%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eModel 2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.205787781350484%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eModel 3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.13804173354735%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.74317817014446%\" valign=\"top\"\u003e\n \u003cp\u003eOR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.630818619582664%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.656500802568218%\" valign=\"top\"\u003e\n \u003cp\u003eOR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.667736757624398%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.174959871589085%\" valign=\"top\"\u003e\n \u003cp\u003eOR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.98876404494382%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.13804173354735%\" valign=\"top\"\u003e\n \u003cp\u003eFeeding\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.74317817014446%\" valign=\"top\"\u003e\n \u003cp\u003e2.74(1.18-6.36)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.630818619582664%\" valign=\"top\"\u003e\n \u003cp\u003e0.019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.656500802568218%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.667736757624398%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.174959871589085%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.98876404494382%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.13804173354735%\" valign=\"top\"\u003e\n \u003cp\u003eBathing\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.74317817014446%\" valign=\"top\"\u003e\n \u003cp\u003e1.34(1.01-1.76)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.630818619582664%\" valign=\"top\"\u003e\n \u003cp\u003e0.038\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.656500802568218%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.667736757624398%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.174959871589085%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.98876404494382%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.13804173354735%\" valign=\"top\"\u003e\n \u003cp\u003eDressing\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.74317817014446%\" valign=\"top\"\u003e\n \u003cp\u003e1.57(1.02-2.42)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.630818619582664%\" valign=\"top\"\u003e\n \u003cp\u003e0.039\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.656500802568218%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.667736757624398%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.174959871589085%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.98876404494382%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.13804173354735%\" valign=\"top\"\u003e\n \u003cp\u003eToilet use\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.74317817014446%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.630818619582664%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.656500802568218%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.667736757624398%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.174959871589085%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.98876404494382%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.13804173354735%\" valign=\"top\"\u003e\n \u003cp\u003eStairs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.74317817014446%\" valign=\"top\"\u003e\n \u003cp\u003e1.99(1.40-2.84)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.630818619582664%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.656500802568218%\" valign=\"top\"\u003e\n \u003cp\u003e1.84(1.28-2.64)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.667736757624398%\" valign=\"top\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.174959871589085%\" valign=\"top\"\u003e\n \u003cp\u003e1.79(1.24-2.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.98876404494382%\" valign=\"top\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.13804173354735%\" valign=\"top\"\u003e\n \u003cp\u003eBowel continence\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.74317817014446%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.630818619582664%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.656500802568218%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.667736757624398%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.174959871589085%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.98876404494382%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.13804173354735%\" valign=\"top\"\u003e\n \u003cp\u003eBladder continence\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.74317817014446%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.630818619582664%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.656500802568218%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.667736757624398%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.174959871589085%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.98876404494382%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.13804173354735%\" valign=\"top\"\u003e\n \u003cp\u003eTransfer\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.74317817014446%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.630818619582664%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.656500802568218%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.667736757624398%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.174959871589085%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.98876404494382%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.13804173354735%\" valign=\"top\"\u003e\n \u003cp\u003eMobility\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.74317817014446%\" valign=\"top\"\u003e\n \u003cp\u003e1.49(1.13-1.97)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.630818619582664%\" valign=\"top\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.656500802568218%\" valign=\"top\"\u003e\n \u003cp\u003e1.36(1.02-1.81)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.667736757624398%\" valign=\"top\"\u003e\n \u003cp\u003e0.035\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.174959871589085%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.98876404494382%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.13804173354735%\" valign=\"top\"\u003e\n \u003cp\u003eGrooming\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.74317817014446%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.630818619582664%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.656500802568218%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.667736757624398%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.174959871589085%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.98876404494382%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eOR, Odds ratio; \u0026nbsp;in model-1 p values were still significant, even after adjustment \u0026nbsp;for age, DM, HT, CAD and CKD\u003c/p\u003e\n\u003cp\u003eIn Model 2, in addition to the confounders in Model 1, MMSE and malnutrition were added to the adjustment.\u003c/p\u003e\n\u003cp\u003eIn Model 3, in addition to the confounders in Model 2, dynapenia was added to the adjustment.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable-4:Lawton Instrumental Activities of Daily Living Results\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"643\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.993779160186627%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eModel 1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.993779160186627%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eModel 2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.438569206842924%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eModel 3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003eOR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003eOR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003eOR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003eAbility to Use Telephone\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003eShopping\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003e1.23 (1.025-1.43)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003e1.18 (1.00-1.38)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e0.045\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003eFood Preparation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003e1.29 (1.08-1.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003e1.22 (1.02-1.46)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e0.026\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003e1.20 (1.00-1.44)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e0.045\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003eHousekeeping\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003e1.61 (1.08-2.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e0.018\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003eLaundry\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003eF. Mode of Transportation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003e1.31 (1.10-1.55)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003e1.25 (1.05-1.49)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e0.013\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003e1.20 (1.00-1.44)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e0.047\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003eResponsibility for Own Medications\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003eAbility to Handle Finances\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.12908242612753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.573872472783826%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eOR, Odds ratio; \u0026nbsp;in model-1 p values were still significant, even after adjustment \u0026nbsp;DM, HT, CAD and CKD.\u003c/p\u003e\n\u003cp\u003eIn Model 2, in addition to the confounders in Model 1, MMSE and malnutrition were added to the adjustment.\u003c/p\u003e\n\u003cp\u003eIn Model 3, in addition to the confounders in Model 2, dynapenia was added to the adjustment.\u003c/p\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":"","lastPublishedDoi":"10.21203/rs.3.rs-3557455/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3557455/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eAim\u003c/h2\u003e \u003cp\u003eThe aim of the present study was to examine the relationship between anemia and basic and instrumental activities of daily living in older female patients.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003e540 older female outpatients were included. Anemia was defined as a hemoglobin below 12 g/dL. Patients' demographic characteristics, comorbidities, Geriatric Depression Scale, Mini Nutritional Assessment, and Mini-Mental State Examination (MMSE) were also recorded. Handgrip strength (HGS) was measured with a hand dynamometer to detect dynapenia. Basic Activities of Daily Living (BADL) and Instrumental Activities of Daily Living (IADL) questionnaires were used to evaluate functional capacity.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eThe mean age of the participants was 77.42\u0026thinsp;\u0026plusmn;\u0026thinsp;7.42. The prevalence of patients with anemia was 35%. A significant difference was observed between anemic and non-anemic groups in terms of age, presence of diabetes mellitus, hypertension, (DM) coronary artery disease (CAD), chronic kidney disease (CKD), malnutrition, dynapenia, and MMSE, BADL and IADL scores (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). In multivariate analysis, after adjustment for age, DM, hypertension, CAD and CKD; there were significant associations between anemia and reduced BADL/IADL scores, dynapenia, falls, the risk of falls, MMSE, and malnutrition (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). After adjusting for all confounding variables, deterioration in total BADL and IADL total scores were still more common among anemic older females than those without anemia (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05).\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eOne out of every three older women presenting at outpatient clinic were anemic. Anemia was observed to be associated with dependence in both BADL and IADL measures. Therefore, the presence of anemia in elderly women should be routinely checked, and possible causes should be investigated and treated to improve their functional capacity.\u003c/p\u003e","manuscriptTitle":"Associations Between Anemia and Dependence on Basic and Instrumental Activities of Daily Living in Older Women","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-03-20 17:47:42","doi":"10.21203/rs.3.rs-3557455/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-04-25T04:57:00+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-04-17T22:27:57+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"02440323-0177-47fd-95a8-e9133fd243c7","date":"2024-04-12T07:20:48+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-03-19T09:52:26+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"a5e05630-8a0a-4918-b24a-e1a8454e5a43","date":"2024-03-19T08:44:02+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-03-19T00:47:16+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-03-19T00:35:13+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2024-03-18T15:28:37+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-03-18T15:24:25+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Geriatrics","date":"2023-11-04T12:31:29+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":"88d33e3b-5dc9-4979-ace3-48a5b0e036b2","owner":[],"postedDate":"March 20th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2024-09-09T16:14:14+00:00","versionOfRecord":{"articleIdentity":"rs-3557455","link":"https://doi.org/10.1186/s12877-024-05342-1","journal":{"identity":"bmc-geriatrics","isVorOnly":false,"title":"BMC Geriatrics"},"publishedOn":"2024-09-07 16:05:37","publishedOnDateReadable":"September 7th, 2024"},"versionCreatedAt":"2024-03-20 17:47:42","video":"","vorDoi":"10.1186/s12877-024-05342-1","vorDoiUrl":"https://doi.org/10.1186/s12877-024-05342-1","workflowStages":[]},"version":"v1","identity":"rs-3557455","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3557455","identity":"rs-3557455","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}