Slow gait speed is associated with reduction in health status in older ambulatory Chinese: A study for comprehensive geriatric assessment

Slow gait speed is associated with reduction in health status in older ambulatory Chinese: A study for comprehensive geriatric assessment | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research article Slow gait speed is associated with reduction in health status in older ambulatory Chinese: A study for comprehensive geriatric assessment Ping Zeng, Yalun Dai, Yiwen Han, Jing Pang, Huan Gong, Jian Li, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.2.10879/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background: Gait speed (GS) is well recognized as a comprehensive index of health status in older people. Nationwide survey data in China have been used to measure the association between slow GS and health status in order to emphasize the importance of measuring GS to detect a decline in health status in older ambulatory Chinese. Methods: A group of 2677 male and 2668 female older (aged ≥60) adults, who could perform the GS test, were selected as study subjects.GS was measured by subjects walking across and back over a 10-m course. Gait speed less than 20% that of a reference population (<0.7 m/s) was used as the threshold of slow GS. Results: Slow GS was associated with higher co-morbidity, polypharmacy, more medical expenses, increased needs for care and hospitalization, worse ranking on the Geriatric Depression Scale (GDS), and decreased physical and cognitive functions. In logistic regression model, higher education level (OR=0.93, 0.88-0.98), alcohol drinking (OR=0.82, 0.71-0.95), scores on Mini-mental State Examination (OR=0.95, 0.93-0.96), doing housework (OR=0.51, 0.45-0.57), and having a regular daily routine (OR=0.71, 0.51-0.98) were independently associated with faster GS; while co-morbidity (OR=1.79, 1.59-2.03), expressed disinterest in life (OR=1.22, 1.12-1.32), and dissatisfaction with personal health (OR=1.22, 1.13-1.33) were associated with slow GS. The AUC value on ROC analysis was 0.72 for the selected variables. Conclusions: Slow GS is associated with poorer health status in Chinese older people. Measuring GS may be a quick and inexpensive tool to help identify individuals with declines in health status and who might benefit from targeted intervention. Geriatrics & Gerontology Gait speed Physical performance the Geriatric Depression Scale Mini-mental State Examination Co-morbidity Sarcopenia Introduction Background: Gait speed (GS) is well recognized as a comprehensive index of health status in older people. Nationwide survey data in China have been used to measure the association between slow GS and health status in order to emphasize the importance of measuring GS to detect a decline in health status in older ambulatory Chinese. Methods: A group of 2677 male and 2668 female older (aged ≥60) adults, who could perform the GS test, were selected as study subjects.GS was measured by subjects walking across and back over a 10-m course. Gait speed less than 20% that of a reference population (<0.7 m/s) was used as the threshold of slow GS. Results:Slow GS was associated with higher co-morbidity, polypharmacy, more medical expenses, increased needs for care and hospitalization, worse ranking on the Geriatric Depression Scale (GDS), and decreased physical and cognitive functions. In logistic regression model, higher education level ( OR =0.93, 0.88-0.98), alcohol drinking ( OR =0.82, 0.71-0.95), scores on Mini-mental State Examination ( OR =0.95, 0.93-0.96), doing housework ( OR =0.51, 0.45-0.57), and having a regular daily routine ( OR =0.71, 0.51-0.98) were independently associated with faster GS; while co-morbidity ( OR =1.79, 1.59-2.03), expressed disinterest in life ( OR =1.22, 1.12-1.32), and dissatisfaction with personal health ( OR =1.22, 1.13-1.33) were associated with slow GS. The AUC value on ROC analysis was 0.72 for the selected variables. Conclusions: Slow GS is associated with poorer health status in Chinese older people. Measuring GS may be a quick and inexpensive tool to help identify individuals with declines in health status and who might benefit from targeted intervention. Keywords: Gait speed, Physcial performance, the Geriatric Depression Scale, Mini-mental State Examination, Co-morbidity, Sarcopenia Background China has a rapidly increasing number of older people, many of whom have disabilities or reduced cognitive function. This situation has highlighted the need for an effective strategy to deal with the burden of caring for an ageing population, which means maintaining physical and mental function to enable the older people to live independently until their end stage of life [1-3]. For these reasons, sarcopenia has become an active research topic in recent years due to the association between poor health status and the adverse outcomes of sarcopenia, such as low physical performance, increased frequency of disability, lesser quality of life and higher health care costs and mortality [4-7]. To reduce these adverse outcomes that are challenges of ageing, the population at risk should be monitored and receive targeted intervention measures when needed [8, 9]. As one of the main components for sarcopenia, walking requires considerable energy and coordination, and walking speed may reflect the multi-systemic well-being of older people [3, 10]. The speed of walking is closely related to the strength of the body, balance, endurance, and cognitive and mental status. Therefore, gait speed (GS) can be considered as a comprehensive index that reflects the overall health status of an individual and serves as a marker of physiological reserve [10,11]. Some studies have suggested that GS can be used to identify people at high risk of adverse health outcomes [12,13]. In the reivised European consensus on definition and diagnosis of Sarcopenia, slow GS has been considered as indicative of servere sarcopenia [14]. The opposite of slow walking is fast walking. In another Chinese population, Woo et al. found that fast walking speeds (>1.39 m/s) maybe a sign of successful ageing, since the variables significantly associated with fast walkers are similar to the attributes of successful ageing [3]. Compared with sarcopenia, GS measurements are more feasible to obtain in older populations; they are quick, inexpensive, and easy to administer. Surprisingly, measuring GS is not widely used in evaluating the heath of older people in China, perhaps because of a lack of sufficient evidence to document its importance. To fill this gap, this study uses nationwide survey data to examine the association between slow GS and health status in a population of older Chinese ambulatory adults and to explore the use of GS as a measure of decline in health status and a signal for early intervention. China has a rapidly increasing number of older people, many of whom have disabilities or reduced cognitive function. This situation has highlighted the need for an effective strategy to deal with the burden of caring for an ageing population, which means maintaining physical and mental function to enable the older people to live independently until their end stage of life [1-3]. For these reasons, sarcopenia has become an active research topic in recent years due to the association between poor health status and the adverse outcomes of sarcopenia, such as low physical performance, increased frequency of disability, lesser quality of life and higher health care costs and mortality [4-7]. To reduce these adverse outcomes that are challenges of ageing, the population at risk should be monitored and receive targeted intervention measures when needed [8, 9]. As one of the main components for sarcopenia, walking requires considerable energy and coordination, and walking speed may reflect the multi-systemic well-being of older people [3, 10]. The speed of walking is closely related to the strength of the body, balance, endurance, and cognitive and mental status. Therefore, gait speed (GS) can be considered as a comprehensive index that reflects the overall health status of an individual and serves as a marker of physiological reserve [10,11]. Some studies have suggested that GS can be used to identify people at high risk of adverse health outcomes [12,13]. In the reivised European consensus on definition and diagnosis of Sarcopenia, slow GS has been considered as indicative of servere sarcopenia [14]. The opposite of slow walking is fast walking. In another Chinese population, Woo et al. found that fast walking speeds (>1.39 m/s) maybe a sign of successful ageing, since the variables significantly associated with fast walkers are similar to the attributes of successful ageing [3]. Compared with sarcopenia, GS measurements are more feasible to obtain in older populations; they are quick, inexpensive, and easy to administer. Surprisingly, measuring GS is not widely used in evaluating the heath of older people in China, perhaps because of a lack of sufficient evidence to document its importance. To fill this gap, this study uses nationwide survey data to examine the association between slow GS and health status in a population of older Chinese ambulatory adults and to explore the use of GS as a measure of decline in health status and a signal for early intervention. Methods Participants The data were drawn from a nation-wide cross-sectional survey conducted in 2011 for evaluating the health status of older Chinese. The investigators and study participants came from 13 hospitals in six administrative regions of China. The study subjects, who were at least 60 years old, were community residents who were patients in regular health examination centers, outpatient departments, and wards of the participating hospitals. Only subjects who could perform the walking test were included in this analysis. Questionnaires were used to collect information on demographics, lifestyle, and medical history, including receipt of care. Individuals with two or more common diseases, such as hypertension, diabetes, cardiovascular diseases, coronary heart disease, chronic obstructive pulmonary disease (COPD), osteoarthritis, and cancer were considered to have co-morbidity. Activities of daily living (ADL) and instrumental activities of daily life (IADL) were measured by standardized instruments. Cognitive function and psychological status were evaluated by Mini-mental State Examination (MMSE) and Geriatric Depression Scale (GDS), respectively. Questions about “whether interestedin life” and “self-rated satisfaction with health” were included in this study to add information about psychological status in a Chinese cultural context. “Doing housework” and “Having a regular daily routine” were also included because they may indicate the psychological status and life attitude of the individual. Doing housework was answered affirmatively when a person was doing work such as house cleaning, cooking, taking care grandchildren, and described the frequency as “often”. Having a regular daily routine was defined as a person who has a regular daily time schedule. The other life style variables included currently smoking (≥5 cigarettes/day); regular drinking of alcohol (at least once a week); and engaging in physical exercise (moderate or more, at least once a week and lasting for30 min or more). The interviewers were trained before the survey was administered, the subjects’ informed consent was obtained to use their information in this study, and the study was approved by the Ethics Committee of Beijing Hospital, Ministry of Health. Measurement The GS was evaluated by measuring the time for the subject to walk 20 meters. Participants walked at their usual pace from a standing start and continued walking straight forward for 10 meters, at which point they made a U-turn and returned to the starting line. Slow GS was defined as a value in the 20 th percentile of GS measured in the old participants in this study [15], which was <0.7 m/s. Statistical Analysis Descriptive statistics (i.e., means, SDs and proportions) were used to characterize the demographics and measured variables of the subjects. The differences of continuous variables were compared using analysis of variance with two factors. Frequency data were compared by Mantel-Haenszel statistics to remove the confounding influence. Logistic regression (forward selection method) was performed to estimate the adjusted odds ratios and the 95% confidence interval (95%CI) of the variable associated with slow GS. Using predicted probabilities, receiver-operating characteristic ( ROC ) curves were constructed to evaluate the discriminative ability of the model. The area under the ROC curve (AUC) was used to test the concordance of predictive values with actual outcome. The statistical analyses were carried out using SAS software and P <0.05 was considered to be statistically significant. Results The characteristics of normal GS and slow GS groups are shown in Table 1 (in Supplementary Files). 2677 men and 2668 women were included in the study. The mean age in the slow GS group about three years older than the mean age of the normal GS group, but this difference was not statistically significant. The mean values of GS for each group was statistically significant 0.5 m/s slower in the slow GS group than in the normal GS group. The people with slow GS had lower education level, had more diseases, took more kinds of medicines, and spent roughly twice as money on health care as people in the normal GS group. There were more people (about 10%-20%) in slow GS group needing care because of illness and who had been hospitalized during the past year. They had lower ADL and IADL performance, lower Mini-mental State Examination (MMSE) scores, more symptoms of depression, and fewer people (10% less) who could perform the 5-time chair stand test. After adjusting for age and gender, a significant increase in the prevalence of common diseases was found in the subjects with slow GS (Figure 1 in Supplementary Files). The differences ranged from 10% to 18% higher. Table 2 shows that higher education level ( OR =0.93, 0.88-0.98), drinking alcohol regularly ( OR =0.82, 0.71-0.95), better scores on MMSE ( OR =0.95, 0.93-0.96), doing housework ( OR =0.51, 0.45-0.57), and following a regular daily routine ( OR =0.71, 0.51-0.98) were independently associated with faster GS. In contrast, co-morbidity ( OR =1.79, 1.59-2.03), expressed disinterest in life ( OR =1.22, 1.12-1.32), expressed dissatisfaction with health ( OR =1.22, 1.13-1.33), and reduced performance of IADL ( OR =1.10, 1.06-1.15) were associated with slow GS. The AUC value on ROC analysis was 0.72 for the selected variables (Figure 2 in Supplementary Files). Discussion Walking is fundamental to maintaining health and independence in the older people. This study analyzes the association of slow GS with measures of health status revealed in a nationwide survey of a population of older ambulatory Chinese. The data in this study show that slow GS is associated with higher co-morbidity, increased prevalence of chronic diseases, greater depression, and lower physical and cognitive functions [11-13, 16-20]. The study confirms that a reduced GS implies a overall reduction in health status in older Chinese people [11-13, 16-20]. As a result, the medical cost in the slow GS group was much higher than that in the normal GS group. Specifically, the mean medical costs for men and women in the slow GS group were 9778 yuan (RMB) and 5893 yuan (RMB), respectively, compared to 4210 yuan (RMB) and 3196 yuan (RMB), respectively, in the normal GS group ( P < 0.0001). The higher costs in the slow GS group may be the result of more medications ( P < 0.0001), increased hospitalization ( P < 0.0001), or increased need for care by others ( P < 0.0001). The cost figures in this study confirm some data from earlier studies that also showed a relationship between reduced walking ability and higher medical costs [20]. In short, GS can be a quick, inexpensive, and useful indicator of older people who have chronic and expensive declines in health that might be circumvented by targeted intervention [12, 13]. The walking distance and the cutoff point for defining slow GS has varied in previous studies [12, 13]. In our study, the difference between the mean GS of the slow and the normal GS groups, for each gender, was about 0.5 m/s (1.0 m/s vs. 0.5 m/s). The observed difference in GS may due to the difference in health status of the study subjects. Our study reveals a 10-20% increasing in the prevalence of common chronic diseases. A meaningful change in GS has been established at 0.1m/s. Study finds that a decline in gait speed of 0.1 m/s within 1 year increased the subsequent 5-year mortality rate [21]. In contrast, a GS increase of 0.1 m/s has been associated with observable health benefits; e.g., an increase as a result of intervention has been associated with a reduction of 17.7% in the absolute risk of death [22], fewer hospitalization days (2.3 fewer days), and 1-year cost reductions of $1,188 [20]. Additional outcomes-based studies hold the promise of providing more informed interpretations of GS values for use in evaluating the risk of adverse health outcome in the older people. The most important challenges of ageing are related to reduced physical and cognitive function. The associations between slow GS and measures of impaired cognitive function have been studied in many populations [16-18]. Our study confirms that slow GS is associated with reduced cognitive function. Up until now, a causal relationship has not been established but is considered to be bidirectional [23]. Furthermore, it is often observed that low physical performance, impaired cognitive function, and depression co-exist in older populations [24,25]. The association of slow GS with lower GDS scores has also been found in this study (Table 1 in Supplementary Files). Other factors such as “disinterest in life”, “dissatisfaction with health status”, which have negative psychological features, add more information about the association of slow GS and psychological status. A six-year cohort study has indicated that a state of depression affects physical health and impedes recovery from physical dysfunction [26]. Studies have shown that symptoms of depression are associated with not only lower physical functional performance but also cognitive decline, both of which are accelerated through negative feedback to further depression [27, 28]. The mutual associations of the cluster of low physical performance, cognitive function and depressed mood suggest that there is a path to gaining multiple benefits [29, 30]. For example, there is evidence that increased engagement in daily activities has the potential to improve health and well-being of the older people [2]. Doing housework is a physically-demanding and intelligence-engaging activity that can generate a positive attitude towards life and a good psychological status. Interestingly, in this study we found that there were more people in the normal GS group doing housework (about 20% more). Logistic regression revealed that doing housework showed a strong association with faster GS (Table 2 in Supplementary Files). Doing housework may help people maintain a normal GS through their active engagement in daily life, which, in turn, helps them maintain better cognitive and psychological functions. Similar to Woo’s study in a population of older Chinese in Hong Kong, we found that alcohol intake was associated with faster walking speeds. This association may be explained by drinking people being more likely to have social activities and, as a result, being more likely to have better psychological status, which helps people maintain faster walking speeds and good health status [3]. This study has some limitations. Firstly, the Asia Working Group for Sarcopenia (AWGS) defines slow GS as <0.8 m/s (when walking 6 m in a straight line) [15]. The survey used in this study measured the walking speed over a distance of 20 meters, and inevitably, the walking speed will be lower due to the mid-course U-turn taken to return to the starting line. This situation may bring the limitation due to the fact that results of the different studies cannot be easily compared to each other. Secondly, as a cross-sectional study, it is difficult to establish a cause-effect relationship between slow GS and poor health status. Thirdly, this study excluded from the analysis people who could not complete the walking measurement, which may introduce in a certain degree of bias. However, the main purpose of this study was to explore the relationship between walking speed and health-related conditions, and to decide whether GS could be used as an indicator of the health status in the older people. Conclusion This study confirms that in ambulatory older Chinese people, slow GS is associated with overall reduction in health status. People with slow GS should be targeted for possible early intervention. Encouraging older people to have a positive attitude towards life and to become more involved in daily life will help them maintain a better health status. List of Abbreviations Gait speed (GS); the Geriatric Depression Scale (GDS); chronic obstructive pulmonary disease (COPD); activities of daily living (ADL); instrumental activities of daily life (IADL); Mini-mental State Examination (MMSE); the Asia Working Group for Sarcopenia (AWGS); receiver-operating characteristic (ROC). Declarations Ethics approval and consent to participate All participants were informed about the study and assured of confidentiality in reporting the results. The consents were verbal and obtained before the investigation started. The study protocol and method of obtaining consent has been approved by Ethics Committee of Beijing Hospital, Ministry of Health. Consent for publication Not applicable. Availability of data and materials The datasets used and analyzed during the current study are available from the corresponding author on reasonable request. Competing interests The authors have no conflicts of interest to declare. Funding This study was funded by National Department Public Benefit Research Foundation, Ministry of Health P. R. China (No. 201302008). The funding body had no role in the design of the study; collection, analysis, and interpretation of data; and in writing the manuscript. Authors’ Contributions PZ collected and analyzed the data, and wrote the paper. YLD assisted with analyzing the data and writing the paper. YWH, JP and HG collected the data. JL applied the fund, assisted with formulating the research question and designed the studies. TMZ has made contributions to the following: (1) the conception and design of the study, and interpretation of data, (2) revising the article critically for important intellectual content, (3) final approval of the version to be submitted. Acknowledgements The authors would like to thank the older people answering the questionnaires. The authors would also like to express thanks to all the 13 hospitals (Beijing Hospital, Beijing Xuanwu Hospital of Capital Medical University, Beijing Geriatric Medical Research Center, the People's Liberation Army General Hospital, Peking University Third Hospital, West China Hospital of Sichuan University, First Affiliated Hospital of Chongqing Medical University, First affiliated hospital of Xi 'an Jiaotong University, Xijin Hospital Fourth Military Medical University, Xiangya Hospital of Central South University, Third Xiangya College of Central South University, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, First Affiliated Hospital of Harbin Medical University), who made contribution to data collections. Yi Zhang, Enyi Zhang, Yan Zhang, Yuan Miao and Jing Yang involved in the survey and data entry portions of this study. 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J Gerontol A Biol Sci Med Sci . 2002 ; 57 (10): M678 – M682 . 28. Apostolova LG, Cummings JL. Neuropsychiatric manifestations in mild cognitive impairment: a systematic review of the literature. Dement Geriatr Cogn Disord . 2008 ; 25 (2): 115 –126. 29. Kraft E. Cognitive function, physical activity, and aging: Possible biological linksand implications for multimodal interventions. Aging Neuro psychol Cogn 2012;19:248-263. 30. Atkinson HH, Rosano C, Simonsick EM, Williamson JD, Davis C, Ambrosius WT, Rapp SR, Cesari M, Newman AB, Harris TB, et al. Cognitive Function, Gait Speed Decline, and Comorbidities: The Health, Aging and Body Composition Study. J Gerontol A Biol Sci Med Sci , 2007, 62(8):844-850. Figures and Tables Due to technical limitations, figures 1 and 2 and table 1 and 2 are only available as a download in the supplemental files section. Supplementary Files Table1.jpg Table2.jpg Figure1.jpg Figure2.jpg Cite Share Download PDF Status: Posted Version 1 posted 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. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-1813","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research article","associatedPublications":[],"authors":[{"id":103645,"identity":"c69ced8b-0569-4ba8-b0e5-e2c7f8a4e11a","order_by":1,"name":"Ping Zeng","email":"","orcid":"https://orcid.org/0000-0003-2774-2533","institution":"The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Ping","middleName":"","lastName":"Zeng","suffix":""},{"id":103646,"identity":"67e2ef59-be44-45f7-a86f-99a21a013ab1","order_by":2,"name":"Yalun 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Gerontology","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Jing","middleName":"","lastName":"Pang","suffix":""},{"id":103649,"identity":"dd77871a-ca59-4c74-a451-d81f11a12635","order_by":5,"name":"Huan Gong","email":"","orcid":"","institution":"The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Huan","middleName":"","lastName":"Gong","suffix":""},{"id":103650,"identity":"61757071-2b99-4601-b9fc-3d582d84a4bf","order_by":6,"name":"Jian Li","email":"","orcid":"","institution":"The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Jian","middleName":"","lastName":"Li","suffix":""},{"id":103651,"identity":"be5a920c-1b4f-4eff-a6b2-69673c4dbf47","order_by":7,"name":"Tiemei Zhang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA2ElEQVRIiWNgGAWjYHACNhDBw8/efODAhwoi1PNAtchI9hxLPDjjDAlabAxu+Bgf5m0hQou92PFnD37uqOVhuMHz4QBvA4M8v9gBArZIJ6Qb9p45zsM4u3fDAckdDIYzZycQ1HJMgrftGA+zzNkNBwzPMCQY3CaoJbFN8i9QC5tEzoMDiW1EaUlmk+Ztq+HhkchhOHCQKC2309ikZdsO8EjwHDM42HBGgrBf2GenP5N821Znb3+8+fHnPxU28vzSBLRAwWEYQ4Io5SBQR7TKUTAKRsEoGIEAAP35Ri/hgoFAAAAAAElFTkSuQmCC","orcid":"","institution":"The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Tiemei","middleName":"","lastName":"Zhang","suffix":""}],"badges":[],"createdAt":"2019-06-28 16:12:21","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.2.10879/v1","doiUrl":"https://doi.org/10.21203/rs.2.10879/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":13468001,"identity":"87d091d8-d329-4530-866f-b60c4259cd4c","added_by":"auto","created_at":"2021-09-16 20:57:02","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":207934,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-1813/v1/0b9df18c-711b-4db2-b338-c20f79937be7.pdf"},{"id":607658,"identity":"14284ab0-b4f5-41b9-88cb-1e4ff71041a2","added_by":"auto","created_at":"2020-03-06 16:37:50","extension":"jpg","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":242452,"visible":true,"origin":"","legend":"","description":"","filename":"Table1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-1813/v1/Table 1.jpg"},{"id":607659,"identity":"1e946b0e-e9f3-4817-b158-7eb365b5dc0d","added_by":"auto","created_at":"2020-03-06 16:37:50","extension":"jpg","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":189375,"visible":true,"origin":"","legend":"","description":"","filename":"Table2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-1813/v1/Table 2.jpg"},{"id":607656,"identity":"8b856163-27d8-4215-ae18-ac80c9823004","added_by":"auto","created_at":"2020-03-06 16:37:49","extension":"jpg","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":77588,"visible":true,"origin":"","legend":"","description":"","filename":"Figure1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-1813/v1/Figure 1.jpg"},{"id":607657,"identity":"f131b814-b660-4171-8f9b-b1f9b74863f1","added_by":"auto","created_at":"2020-03-06 16:37:49","extension":"jpg","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":46834,"visible":true,"origin":"","legend":"","description":"","filename":"Figure2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-1813/v1/Figure 2.jpg"}],"financialInterests":"","formattedTitle":"Slow gait speed is associated with reduction in health status in older ambulatory Chinese: A study for comprehensive geriatric assessment","fulltext":[{"header":"Introduction","content":"\n\u003cp\u003eBackground: Gait speed (GS) is well recognized as a comprehensive index of health status in older people. Nationwide survey data in China have been used to measure the association between\n slow GS and health status in order to emphasize the importance of measuring GS to\n detect a decline in health status in older ambulatory Chinese.\u003c/p\u003e\n \n\u003cp\u003eMethods: A group of 2677 male and 2668 female older (aged ≥60) adults, who could perform the\n GS test, were selected as study subjects.GS was measured by subjects walking across\n and back over a 10-m course. Gait speed less than 20% that of a reference population\n (\u0026lt;0.7 m/s) was used as the threshold of slow GS.\u003c/p\u003e\n \n\u003cp\u003eResults:Slow GS was associated with higher co-morbidity, polypharmacy, more medical expenses,\n increased needs for care and hospitalization, worse ranking on the Geriatric Depression Scale (GDS), and decreased physical and cognitive functions. In logistic regression model, higher\n education level (\u003cem\u003eOR\u003c/em\u003e=0.93, 0.88-0.98), alcohol drinking (\u003cem\u003eOR\u003c/em\u003e=0.82, 0.71-0.95), scores on Mini-mental State Examination (\u003cem\u003eOR\u003c/em\u003e=0.95, 0.93-0.96), doing housework (\u003cem\u003eOR\u003c/em\u003e=0.51, 0.45-0.57), and having a regular daily routine (\u003cem\u003eOR\u003c/em\u003e=0.71, 0.51-0.98) were independently associated with faster GS; while co-morbidity\n (\u003cem\u003eOR\u003c/em\u003e=1.79, 1.59-2.03), expressed disinterest in life (\u003cem\u003eOR\u003c/em\u003e=1.22, 1.12-1.32), and dissatisfaction with personal health (\u003cem\u003eOR\u003c/em\u003e=1.22, 1.13-1.33) were associated with slow GS. The AUC value on \u003cem\u003eROC\u003c/em\u003e analysis was 0.72 for the selected variables.\u003c/p\u003e\n \n\u003cp\u003eConclusions: Slow GS is associated with poorer health status in Chinese older people. Measuring\n GS may be a quick and inexpensive tool to help identify individuals with declines\n in health status and who might benefit from targeted intervention.\u003c/p\u003e\n \n\u003cp\u003eKeywords: Gait speed, Physcial performance, the Geriatric Depression Scale, Mini-mental\n State Examination, Co-morbidity, Sarcopenia \u003c/p\u003e\n\n \n\n\n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n \n\n \n \n \n\n \n\n \n \n\n\n \n \n \n\n \n \n\n \n \n\n \n \n"},{"header":"Background","content":" \n\u003cp\u003eChina has a rapidly increasing number of older people, many of whom have disabilities\n or reduced cognitive function. This situation has highlighted the need for an effective\n strategy to deal with the burden of caring for an ageing population, which means maintaining\n physical and mental function to enable the older people to live independently until\n their end stage of life [1-3]. For these reasons, sarcopenia has become an active\n research topic in recent years due to the association between poor health status and\n the adverse outcomes of sarcopenia, such as low physical performance, increased frequency\n of disability, lesser quality of life and higher health care costs and mortality [4-7].\n To reduce these adverse outcomes that are challenges of ageing, the population at\n risk should be monitored and receive targeted intervention measures when needed [8,\n 9]. \u003c/p\u003e\n \n\u003cp\u003eAs one of the main components for sarcopenia, walking requires considerable energy\n and coordination, and walking speed may reflect the multi-systemic well-being of older\n people [3, 10]. The speed of walking is closely related to the strength of the body,\n balance, endurance, and cognitive and mental status. Therefore, gait speed (GS) can\n be considered as a comprehensive index that reflects the overall health status of\n an individual and serves as a marker of physiological reserve [10,11]. Some studies\n have suggested that GS can be used to identify people at high risk of adverse health\n outcomes [12,13]. In the reivised European consensus on definition and diagnosis of\n Sarcopenia, slow GS has been considered as indicative of servere sarcopenia [14].\n The opposite of slow walking is fast walking. In another Chinese population, Woo et\n al. found that fast walking speeds (\u0026gt;1.39 m/s) maybe a sign of successful ageing,\n since the variables significantly associated with fast walkers are similar to the\n attributes of successful ageing [3].\u003c/p\u003e\n \n\u003cp\u003eCompared with sarcopenia, GS measurements are more feasible to obtain in older populations;\n they are quick, inexpensive, and easy to administer. Surprisingly, measuring GS is\n not widely used in evaluating the heath of older people in China, perhaps because\n of a lack of sufficient evidence to document its importance. To fill this gap, this\n study uses nationwide survey data to examine the association between slow GS and health\n status in a population of older Chinese ambulatory adults and to explore the use of\n GS as a measure of decline in health status and a signal for early intervention. \u003c/p\u003e\n \n\u003cp\u003eChina has a rapidly increasing number of older people, many of whom have disabilities\n or reduced cognitive function. This situation has highlighted the need for an effective\n strategy to deal with the burden of caring for an ageing population, which means maintaining\n physical and mental function to enable the older people to live independently until\n their end stage of life [1-3]. For these reasons, sarcopenia has become an active\n research topic in recent years due to the association between poor health status and\n the adverse outcomes of sarcopenia, such as low physical performance, increased frequency\n of disability, lesser quality of life and higher health care costs and mortality [4-7].\n To reduce these adverse outcomes that are challenges of ageing, the population at\n risk should be monitored and receive targeted intervention measures when needed [8,\n 9]. \u003c/p\u003e\n \n\u003cp\u003eAs one of the main components for sarcopenia, walking requires considerable energy\n and coordination, and walking speed may reflect the multi-systemic well-being of older\n people [3, 10]. The speed of walking is closely related to the strength of the body,\n balance, endurance, and cognitive and mental status. Therefore, gait speed (GS) can\n be considered as a comprehensive index that reflects the overall health status of\n an individual and serves as a marker of physiological reserve [10,11]. Some studies\n have suggested that GS can be used to identify people at high risk of adverse health\n outcomes [12,13]. In the reivised European consensus on definition and diagnosis of\n Sarcopenia, slow GS has been considered as indicative of servere sarcopenia [14].\n The opposite of slow walking is fast walking. In another Chinese population, Woo et\n al. found that fast walking speeds (\u0026gt;1.39 m/s) maybe a sign of successful ageing,\n since the variables significantly associated with fast walkers are similar to the\n attributes of successful ageing [3].\u003c/p\u003e\n \n\u003cp\u003eCompared with sarcopenia, GS measurements are more feasible to obtain in older populations;\n they are quick, inexpensive, and easy to administer. Surprisingly, measuring GS is\n not widely used in evaluating the heath of older people in China, perhaps because\n of a lack of sufficient evidence to document its importance. To fill this gap, this\n study uses nationwide survey data to examine the association between slow GS and health\n status in a population of older Chinese ambulatory adults and to explore the use of\n GS as a measure of decline in health status and a signal for early intervention. \u003c/p\u003e\n"},{"header":"Methods","content":"\u003cp\u003e\u003cem\u003eParticipants\u003c/em\u003e\u003c/p\u003e\n \n\u003cp\u003eThe data were drawn from a nation-wide cross-sectional survey conducted in 2011 for\n evaluating the health status of older Chinese. The investigators and study participants\n came from 13 hospitals in six administrative regions of China. The study subjects,\n who were at least 60 years old, were community residents who were patients in regular\n health examination centers, outpatient departments, and wards of the participating\n hospitals. Only subjects who could perform the walking test were included in this\n analysis.\u003c/p\u003e\n \n\u003cp\u003eQuestionnaires were used to collect information on demographics, lifestyle, and medical\n history, including receipt of care. Individuals with two or more common diseases,\n such as hypertension, diabetes, cardiovascular diseases, coronary heart disease, chronic obstructive pulmonary disease (COPD), osteoarthritis, and cancer were considered\n to have co-morbidity. Activities of daily living (ADL) and instrumental activities\n of daily life (IADL) were measured by standardized instruments. Cognitive function\n and psychological status were evaluated by Mini-mental State Examination (MMSE) and\n Geriatric Depression Scale (GDS), respectively. Questions about “whether interestedin life” and “self-rated satisfaction with health”\n were included in this study to add information about psychological status in a Chinese\n cultural context. “Doing housework” and “Having a regular daily routine” were also included because\n they may indicate the psychological status and life attitude of the individual. Doing housework was answered affirmatively when a person was doing work such as house\n cleaning, cooking, taking care grandchildren, and described the frequency as “often”. Having a regular daily routine was defined as a person who has a regular daily time\n schedule. The other life style variables included currently smoking (≥5 cigarettes/day);\n regular drinking of alcohol (at least once a week); and engaging in physical exercise\n (moderate or more, at least once a week and lasting for30 min or more). The interviewers\n were trained before the survey was administered, the subjects’ informed consent was\n obtained to use their information in this study, and the study was approved by the\n Ethics Committee of Beijing Hospital, Ministry of Health.\u003c/p\u003e\n \n\u003cp\u003e\u003cem\u003eMeasurement\u003c/em\u003e\u003c/p\u003e\n \n\u003cp\u003eThe GS was evaluated by measuring the time for the subject to walk 20 meters. Participants\n walked at their usual pace from a standing start and continued walking straight forward\n for 10 meters, at which point they made a U-turn and returned to the starting line.\n Slow GS was defined as a value in the 20\u003csup\u003eth\u003c/sup\u003e percentile of GS measured in the old participants in this study [15], which was \u0026lt;0.7\n m/s.\u003c/p\u003e\n \n\u003cp\u003e\u003cem\u003eStatistical Analysis\u003c/em\u003e\u003c/p\u003e\n \n\u003cp\u003eDescriptive statistics (i.e., means, SDs and proportions) were used to characterize\n the demographics and measured variables of the subjects. The differences of continuous\n variables were compared using analysis of variance with two factors. Frequency data\n were compared by Mantel-Haenszel statistics to remove the confounding influence. Logistic\n regression (forward selection method) was performed to estimate the adjusted odds\n ratios and the 95% confidence interval (95%CI) of the variable associated with slow\n GS. Using predicted probabilities, receiver-operating characteristic (\u003cem\u003eROC\u003c/em\u003e) curves were constructed to evaluate the discriminative ability of the model. The\n area under the \u003cem\u003eROC\u003c/em\u003e curve (AUC) was used to test the concordance of predictive values with actual outcome.\n The statistical analyses were carried out using SAS software and \u003cem\u003eP\u003c/em\u003e\u0026lt;0.05 was considered to be statistically significant.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eThe characteristics of normal GS and slow GS groups are shown in Table 1 (in Supplementary Files). 2677 men\n and 2668 women were included in the study. The mean age in the slow GS group about\n three years older than the mean age of the normal GS group, but this difference was\n not statistically significant. The mean values of GS for each group was statistically\n significant 0.5 m/s slower in the slow GS group than in the normal GS group. The people\n with slow GS had lower education level, had more diseases, took more kinds of medicines,\n and spent roughly twice as money on health care as people in the normal GS group.\n There were more people (about 10%-20%) in slow GS group needing care because of illness\n and who had been hospitalized during the past year. They had lower ADL and IADL performance,\n lower Mini-mental State Examination (MMSE) scores, more symptoms of depression, and\n fewer people (10% less) who could perform the 5-time chair stand test. \u003c/p\u003e\n \n\u003cp\u003eAfter adjusting for age and gender, a significant increase in the prevalence of common\n diseases was found in the subjects with slow GS (Figure 1 in Supplementary Files). The differences ranged from 10% to 18% higher. Table 2 shows that higher education\n level (\u003cem\u003eOR\u003c/em\u003e=0.93, 0.88-0.98), drinking alcohol regularly (\u003cem\u003eOR\u003c/em\u003e=0.82, 0.71-0.95), better scores on MMSE (\u003cem\u003eOR\u003c/em\u003e=0.95, 0.93-0.96), doing housework (\u003cem\u003eOR\u003c/em\u003e=0.51, 0.45-0.57), and following a regular daily routine (\u003cem\u003eOR\u003c/em\u003e=0.71, 0.51-0.98) were independently associated with faster GS. In contrast, co-morbidity\n (\u003cem\u003eOR\u003c/em\u003e=1.79, 1.59-2.03), expressed disinterest in life (\u003cem\u003eOR\u003c/em\u003e=1.22, 1.12-1.32), expressed dissatisfaction with health (\u003cem\u003eOR\u003c/em\u003e=1.22, 1.13-1.33), and reduced performance of IADL (\u003cem\u003eOR\u003c/em\u003e=1.10, 1.06-1.15) were associated with slow GS. The AUC value on \u003cem\u003eROC\u003c/em\u003e analysis was 0.72 for the selected variables (Figure 2 in Supplementary Files).\u003c/p\u003e"},{"header":"Discussion","content":" \n\u003cp\u003eWalking is fundamental to maintaining health and independence in the older people.\n This study analyzes the association of slow GS with measures of health status revealed\n in a nationwide survey of a population of older ambulatory Chinese. The data in this\n study show that slow GS is associated with higher co-morbidity, increased prevalence\n of chronic diseases, greater depression, and lower physical and cognitive functions\n [11-13, 16-20]. The study confirms that a reduced GS implies a overall reduction in\n health status in older Chinese people [11-13, 16-20]. As a result, the medical cost\n in the slow GS group was much higher than that in the normal GS group. Specifically,\n the mean medical costs for men and women in the slow GS group were 9778 yuan (RMB)\n and 5893 yuan (RMB), respectively, compared to 4210 yuan (RMB) and 3196 yuan (RMB),\n respectively, in the normal GS group (\u003cem\u003eP\u003c/em\u003e\u0026lt; 0.0001). The higher costs in the slow GS group may be the result of more medications\n (\u003cem\u003eP\u003c/em\u003e\u0026lt; 0.0001), increased hospitalization (\u003cem\u003eP\u003c/em\u003e\u0026lt; 0.0001), or increased need for care by others (\u003cem\u003eP\u003c/em\u003e\u0026lt; 0.0001). The cost figures in this study confirm some data from earlier studies that\n also showed a relationship between reduced walking ability and higher medical costs\n [20]. In short, GS can be a quick, inexpensive, and useful indicator of older people\n who have chronic and expensive declines in health that might be circumvented by targeted\n intervention [12, 13].\u003c/p\u003e\n \n\u003cp\u003eThe walking distance and the cutoff point for defining slow GS has varied in previous\n studies [12, 13]. In our study, the difference between the mean GS of the slow and\n the normal GS groups, for each gender, was about 0.5 m/s (1.0 m/s vs. 0.5 m/s). The\n observed difference in GS may due to the difference in health status of the study\n subjects. Our study reveals a 10-20% increasing in the prevalence of common chronic\n diseases. A meaningful change in GS has been established at 0.1m/s. Study finds that\n a decline in gait speed of 0.1 m/s within 1 year increased the subsequent 5-year mortality\n rate [21]. In contrast, a GS increase of 0.1 m/s has been associated with observable\n health benefits; e.g., an increase as a result of intervention has been associated\n with a reduction of 17.7% in the absolute risk of death [22], fewer hospitalization\n days (2.3 fewer days), and 1-year cost reductions of $1,188 [20]. Additional outcomes-based\n studies hold the promise of providing more informed interpretations of GS values for\n use in evaluating the risk of adverse health outcome in the older people.\u003c/p\u003e\n \n\u003cp\u003eThe most important challenges of ageing are related to reduced physical and cognitive\n function. The associations between slow GS and measures of impaired cognitive function\n have been studied in many populations [16-18]. Our study confirms that slow GS is\n associated with reduced cognitive function. Up until now, a causal relationship has\n not been established but is considered to be bidirectional [23]. Furthermore, it is\n often observed that low physical performance, impaired cognitive function, and depression\n co-exist in older populations [24,25]. The association of slow GS with lower GDS scores\n has also been found in this study (Table 1 in Supplementary Files). Other factors such as “disinterest in\n life”, “dissatisfaction with health status”, which have negative psychological features,\n add more information about the association of slow GS and psychological status. A\n six-year cohort study has indicated that a state of depression affects physical health\n and impedes recovery from physical dysfunction [26]. Studies have shown that symptoms\n of depression are associated with not only lower physical functional performance but\n also cognitive decline, both of which are accelerated through negative feedback to\n further depression [27, 28].\u003c/p\u003e\n \n\u003cp\u003eThe mutual associations of the cluster of low physical performance, cognitive function\n and depressed mood suggest that there is a path to gaining multiple benefits [29,\n 30]. For example, there is evidence that increased engagement in daily activities\n has the potential to improve health and well-being of the older people [2]. Doing\n housework is a physically-demanding and intelligence-engaging activity that can generate\n a positive attitude towards life and a good psychological status. Interestingly, in\n this study we found that there were more people in the normal GS group doing housework\n (about 20% more). Logistic regression revealed that doing housework showed a strong\n association with faster GS (Table 2 in Supplementary Files). Doing housework may help people maintain a normal\n GS through their active engagement in daily life, which, in turn, helps them maintain\n better cognitive and psychological functions. Similar to Woo’s study in a population\n of older Chinese in Hong Kong, we found that alcohol intake was associated with faster\n walking speeds. This association may be explained by drinking people being more likely\n to have social activities and, as a result, being more likely to have better psychological\n status, which helps people maintain faster walking speeds and good health status [3].\n \u003c/p\u003e\n \n\u003cp\u003eThis study has some limitations. Firstly, the Asia Working Group for Sarcopenia (AWGS) defines slow GS as \u0026lt;0.8 m/s (when walking 6 m in a straight line) [15]. The survey\n used in this study measured the walking speed over a distance of 20 meters, and inevitably,\n the walking speed will be lower due to the mid-course U-turn taken to return to the\n starting line. This situation may bring the limitation due to the fact that results\n of the different studies cannot be easily compared to each other. Secondly, as a cross-sectional\n study, it is difficult to establish a cause-effect relationship between slow GS and\n poor health status. Thirdly, this study excluded from the analysis people who could\n not complete the walking measurement, which may introduce in a certain degree of bias.\n However, the main purpose of this study was to explore the relationship between walking\n speed and health-related conditions, and to decide whether GS could be used as an\n indicator of the health status in the older people.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study confirms that in ambulatory older Chinese people, slow GS is associated\n with overall reduction in health status. People with slow GS should be targeted for\n possible early intervention. Encouraging older people to have a positive attitude\n towards life and to become more involved in daily life will help them maintain a better\n health status.\u003c/p\u003e"},{"header":"List of Abbreviations","content":"\u003cp\u003eGait speed (GS); the Geriatric Depression Scale (GDS); chronic obstructive pulmonary\n disease (COPD); activities of daily living (ADL); instrumental activities of daily\n life (IADL); Mini-mental State Examination (MMSE); the Asia Working Group for Sarcopenia\n (AWGS); receiver-operating characteristic (ROC).\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cem\u003eEthics approval and consent to participate\u003c/em\u003e\u003c/p\u003e\n \n\u003cp\u003eAll participants were informed about the study and assured of confidentiality in reporting\n the results. The consents were verbal and obtained before the investigation started.\n The study protocol and method of obtaining consent has been approved by Ethics Committee\n of Beijing Hospital, Ministry of Health.\u003c/p\u003e\n \n\u003cp\u003e\u003cem\u003eConsent for publication\u003c/em\u003e\u003c/p\u003e\n \n\u003cp\u003eNot applicable.\u003c/p\u003e\n \n\u003cp\u003e\u003cem\u003eAvailability of data and materials\u003c/em\u003e\u003c/p\u003e\n \n\u003cp\u003eThe datasets used and analyzed during the current study are available from the corresponding\n author on reasonable request.\u003c/p\u003e\n \n\u003cp\u003e\u003cem\u003eCompeting interests\u003c/em\u003e\u003c/p\u003e\n \n\u003cp\u003eThe authors have no conflicts of interest to declare.\u003c/p\u003e\n \n\u003cp\u003e\u003cem\u003eFunding\u003c/em\u003e\u003c/p\u003e\n \n\u003cp\u003eThis study was funded by National Department Public Benefit Research Foundation, Ministry of Health P. R. China (No. 201302008). The funding body had no role in the design of the study; collection, analysis, and\n interpretation of data; and in writing the manuscript. \u003c/p\u003e\n \n\u003cp\u003e\u003cem\u003eAuthors’ Contributions\u003c/em\u003e\u003c/p\u003e\n \n\u003cp\u003ePZ collected and analyzed the data, and wrote the paper. YLD assisted with analyzing\n the data and writing the paper. YWH, JP and HG collected the data. JL applied the\n fund, assisted with formulating the research question and designed the studies. TMZ\n has made contributions to the following: (1) the conception and design of the study,\n and interpretation of data, (2) revising the article critically for important intellectual\n content, (3) final approval of the version to be submitted.\u003c/p\u003e\n \n\u003cp\u003e\u003cem\u003eAcknowledgements\u003c/em\u003e\u003c/p\u003e\n \n\u003cp\u003eThe authors would like to thank the older people answering the questionnaires. The\n authors would also like to express thanks to all the 13 hospitals (Beijing Hospital,\n Beijing Xuanwu Hospital of Capital Medical University, Beijing Geriatric Medical Research\n Center, the People's Liberation Army General Hospital, Peking University Third Hospital,\n West China Hospital of Sichuan University, First Affiliated Hospital of Chongqing\n Medical University, First affiliated hospital of Xi 'an Jiaotong University, Xijin\n Hospital Fourth Military Medical University, Xiangya Hospital of Central South University,\n Third Xiangya College of Central South University, Ruijin Hospital Affiliated to Shanghai\n Jiao Tong University School of Medicine, First Affiliated Hospital of Harbin Medical\n University), who made contribution to data collections. Yi Zhang, Enyi Zhang, Yan\n Zhang, Yuan Miao and Jing Yang involved in the survey and data entry portions of this\n study. We would like to express our appreciation to Dr. Donald Barnes, South China\n University of Technology, for helpful comments on the final revision of this paper.\u003c/p\u003e"},{"header":"References","content":"\u003cp data-xsweet-list-level=\"0\"\u003e1. Rowe JW, Kahn RL. Successful aging. \u003cem\u003eAging\u003c/em\u003e, 1998, 10(2):142. \u003c/p\u003e\n \n \n \n\u003cp data-xsweet-list-level=\"0\"\u003e2.Ng SH, Cheung CK, Chong AM, Woo J, Kwan AY, Lai S. Aging well socially through engagement with life: Adapting Rowe and Kahn’s model of successful aging to Chinese cultural context. \u003cem\u003eInt J Aging Hum Dev \u003c/em\u003e2011; 73: 313-330.\u003c/p\u003e\n \n \n \n\u003cp data-xsweet-list-level=\"0\"\u003e3.Woo J, Leung J, Zhang T. Successful Aging and Frailty: Opposite Sides of the Same\n Coin? \u003cem\u003eJ Am Med Dir Assoc\u003c/em\u003e. 2016. 17(9): 797-801.\u003c/p\u003e\n \n \n \n\u003cp data-xsweet-list-level=\"0\"\u003e4. 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Does 8-Foot Walk Time Predict Cognitive Decline in Older Mexicans Americans?[J]. \u003cem\u003eJ Am Geriatr Soc\u003c/em\u003e, 2007, 55(2): 245-251.\u003c/p\u003e\n \n \n \n\u003cp data-xsweet-list-level=\"0\"\u003e19. Cawthon PM, Fox KM, Gandra SR, Delmonico MJ, Chiou CF, Anthony MS, Sewall A, Goodpaster\n B, Satterfield S, Cummings SR et al. Do muscle mass, muscle density, strength, and physical\n function similarly influence risk of hospitalization in older adults? \u003cem\u003eJ Am Geriatr Soc\u003c/em\u003e. 2009; 57(8): 1411-9.\u003c/p\u003e\n \n \n \n\u003cp data-xsweet-list-level=\"0\"\u003e20. Purser JL, Weinberger M, Cohen HJ, Pieper CF, Morey MC, Li T, Williams GR, Lapuerta P et al. Walking speed predicts health status and hospital\n costs for frail elderly male veterans. \u003cem\u003eJ Rehabil Res Dev.\u003c/em\u003e 2005, 42(4):535-546.\u003c/p\u003e\n \n \n \n\u003cp data-xsweet-list-level=\"0\"\u003e21. Perera S, Studenski S, Chandler JM, Guralnik JM. 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Hajjar I, Yang F, Sorond F, Jones RN, Milberg W, Cupples LA, Lipsitz LA. A novel aging phenotype of slow gait, impaired executive\n function, and depressive symptoms: relationship to blood pressure and other cardiovascular\n risks. \u003cem\u003eJ Gerontol A Biol Sci Med Sci.\u003c/em\u003e 2009. 64A(9): 994–1001. \u003c/p\u003e\n \n \n \n\u003cp data-xsweet-list-level=\"0\"\u003e25. Hsu YH, Liang CK, Chou MY, Liao MC, Lin YT, Chen LK, Lo YK. Association of cognitive impairment, depressive symptoms\n and sarcopenia among healthy older men in the veterans retirement community in southern\n Taiwan: a cross-sectional study.\u003cem\u003e Geriatr Gerontol Int\u003c/em\u003e. 2014. 14 Suppl 1: 102-8.\u003c/p\u003e\n \n \n \n\u003cp data-xsweet-list-level=\"0\"\u003e26. Cronin-Stubbs D, de Leon CF, Beckett LA, Field TS, Glynn RJ, Evans DA. Six-year effect\n of depressive symptoms on the course of physical disability in community-living older\n adults. \u003cem\u003eArch Intern Med\u003c/em\u003e. 2000; 160 (20): 3074 – 3080 \u003c/p\u003e\n \n \n \n\u003cp data-xsweet-list-level=\"0\"\u003e27. Raji MA, Ostir GV, Markides KS, Goodwin JS. The interaction of cognitive and emotional\n status on subsequent physical functioning in older Mexican Americans: findings from\n the Hispanic established population for the epidemiologic study of the elderly. \u003cem\u003eJ Gerontol A Biol Sci Med Sci\u003c/em\u003e. 2002 ; 57 (10): M678 – M682 .\u003c/p\u003e\n \n \n \n\u003cp data-xsweet-list-level=\"0\"\u003e28. Apostolova LG, Cummings JL. Neuropsychiatric manifestations in mild cognitive impairment:\n a systematic review of the literature. \u003cem\u003eDement Geriatr Cogn Disord\u003c/em\u003e. 2008 ; 25 (2): 115 –126.\u003c/p\u003e\n \n \n \n\u003cp data-xsweet-list-level=\"0\"\u003e29. Kraft E. Cognitive function, physical activity, and aging: Possible biological linksand\n implications for multimodal interventions. \u003cem\u003eAging Neuro psychol Cogn\u003c/em\u003e 2012;19:248-263.\u003c/p\u003e\n \n \n \n\u003cp data-xsweet-list-level=\"0\"\u003e30. Atkinson HH, Rosano C, Simonsick EM, Williamson JD, Davis C, Ambrosius WT, Rapp SR,\n Cesari M, Newman AB, Harris TB, et al. Cognitive Function, Gait Speed Decline, and Comorbidities:\n The Health, Aging and Body Composition Study. \u003cem\u003eJ Gerontol A Biol Sci Med Sci\u003c/em\u003e, 2007, 62(8):844-850. \u003c/p\u003e"},{"header":"Figures and Tables","content":"Due to technical limitations, figures 1 and 2 and table 1 and 2 are only available as a download in the supplemental files section."}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Gait speed, Physical performance, the Geriatric Depression Scale, Mini-mental State Examination, Co-morbidity, Sarcopenia","lastPublishedDoi":"10.21203/rs.2.10879/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.2.10879/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Background:\nGait speed (GS) is well recognized as a comprehensive index of health status in older people. Nationwide survey data in China have been used to measure the association between slow GS and health status in order to emphasize the importance of measuring GS to detect a decline in health status in older ambulatory Chinese.\n\nMethods:\nA group of 2677 male and 2668 female older (aged ≥60) adults, who could perform the GS test, were selected as study subjects.GS was measured by subjects walking across and back over a 10-m course. Gait speed less than 20% that of a reference population (\u003c0.7 m/s) was used as the threshold of slow GS.\n\nResults:\nSlow GS was associated with higher co-morbidity, polypharmacy, more medical expenses, increased needs for care and hospitalization, worse ranking on the Geriatric Depression Scale (GDS), and decreased physical and cognitive functions. In logistic regression model, higher education level (OR=0.93, 0.88-0.98), alcohol drinking (OR=0.82, 0.71-0.95), scores on Mini-mental State Examination (OR=0.95, 0.93-0.96), doing housework (OR=0.51, 0.45-0.57), and having a regular daily routine (OR=0.71, 0.51-0.98) were independently associated with faster GS; while co-morbidity (OR=1.79, 1.59-2.03), expressed disinterest in life (OR=1.22, 1.12-1.32), and dissatisfaction with personal health (OR=1.22, 1.13-1.33) were associated with slow GS. The AUC value on ROC analysis was 0.72 for the selected variables.\n\nConclusions:\nSlow GS is associated with poorer health status in Chinese older people. Measuring GS may be a quick and inexpensive tool to help identify individuals with declines in health status and who might benefit from targeted intervention.","manuscriptTitle":"Slow gait speed is associated with reduction in health status in older ambulatory Chinese: A study for comprehensive geriatric assessment","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2019-07-03 19:37:14","doi":"10.21203/rs.2.10879/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"a75e94e5-a7ae-4b31-b750-8db1f85e8bf7","owner":[],"postedDate":"July 3rd, 2019","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":15300,"name":"Geriatrics \u0026 Gerontology"}],"tags":[],"updatedAt":"","versionOfRecord":[],"versionCreatedAt":"2019-07-03 19:37:14","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-1813","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"identity":"rs-1813","version":["v1"]},"buildId":"ehx78VzkSd0WSzXnipQa-","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}