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A retrospective cohort uses National Health and Aging Trends Study data (2015–2018) linked to Medicare claims for community-dwelling adults aged 66+. Cox proportional hazards models estimate three-year mortality probability stratified by sex and disease group, using gait speed and grip strength as predictors.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/predictive-value-of-gait-speed-and-grip-strength-for-mortality-in-older-adults-with-cardiometabolic-multimorbidity/427130/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/predictive-value-of-gait-speed-and-grip-strength-for-mortality-in-older-adults-with-cardiometabolic-multimorbidity/427130.png","ImageObject",300,407,{"name":92,"@type":93},"MrHarris58","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-21","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":24},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the main goal of the study?","Question",{"text":112,"@type":113},"To determine cut-off points for gait speed and hand grip strength based on one-year hospitalization risk and evaluate their predictive value for three-year mortality in older adults with CMM.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What data and population were used?",{"text":117,"@type":113},"The retrospective cohort uses National Health and Aging Trends Study data (2015–2018) linked to Medicare claims for community-dwelling adults aged 66 years and older.",{"name":119,"@type":110,"acceptedAnswer":120},"How were gait speed and grip strength used in the analysis?",{"text":121,"@type":113},"Cut-off values were derived using sensitivity and specificity for one-year hospitalization risk, and three-year mortality was modeled with Cox proportional hazards regression stratified by sex and disease group.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},427130,1790790821,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":24,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":14,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":24},687212988360,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","1250 Innovation in Aging, 2025, Vol. 9, No. S2  \nAbstract citation ID: igaf122.4178  \nPREDICTIVE VALUE OF GAIT SPEED AND GRIP STRENGTH FOR MORTALITY IN OLDER ADULTS WITH CARDIOMETABOLIC MULTIMORBIDITY  \nHyeon Hong1, Shweta Gore2, Lin-Na Chou3, Julie Keysor4, Amol Karmarkar5, and Amit Kumar1, 1. University of Utah, Salt Lake City, Utah, United States, 2. MGH Institute of Health Professions, Boston, Massachusetts, United States, 3. University of Utah, Saratoga Springs, Utah, United States, 4. University of Massachusetts Lowell, Lowell, Massachusetts, United States, 5. Virginia Commonwealth University, Richmond, Virginia, United States  \nThis study aims to establish cut-off points for gait speed and hand grip strength based on one-year hospitalization risks and to examine their predictive value for three-year mortality in older adults with cardiometabolic multimorbidity (CMM). This retrospective cohort study utilized data from the National Health and Aging Trends Study (2015-2018) linked to Medicare claims for community-dwelling adults aged 66 years and older. Our primary predictors were gait speed (m/s) and BMI-normalized hand-grip strength. First, we established optimal cut-off values for gait speed and grip strength based on 1-year hospitalization risk, using sensitivity and specificity. Next, we employed Cox  \nInnovation in Aging, 2025, Vol. 9, No. S2 1251  \nproportional hazards regression to estimate the probability of 3-year mortality, with gait speed and grip strength as predictors, stratified by sex and disease group. Among 4,157 older adults,11.3% had CMM (6.5% male, 4.7% female) . Among older males, those with CMM had the lowest cut-off values for grip strength at 0.82kg/BMI (sensitivity 0.59; specificity 0.85)  \nand for gait speed at 0.58m/sec (sensitivity 0.62; specificity 0.92) to predict 1-year hospitalization. In females with CMM, the cut-off was 0.52kg/BMI (sensitivity 0.61; specificity 0.84) for grip strength and 0.68m/sec (sensitivity 0.69; specificity0.71) for gait speed. Among males with CMM, those with below the cut-off gait speed had a significantly higher 3-year mortality compared to those with above the cut-off (HR = 0.47, 95% CI = 0.23-0.97, p \u003C 0.05) . These validated cut-off points for gait speed and grip strength can assist in risk stratification and mortality prediction in older adults with CMM, serving as a screening tool for identifying high-risk individuals.","cbCaimYW2rq0nbdp","https://ap.wps.com/l/cbCaimYW2rq0nbdp","pdf",2153978,"English","# Methods\n## Study design and data sources\n## Predictors and statistical approach\n# Findings\n## CMM prevalence and cut-off values\n## Associations with 3-year mortality\n# Implications\n## Risk stratification and screening","[{\"question\":\"What is the main goal of the study?\",\"answer\":\"To determine cut-off points for gait speed and hand grip strength based on one-year hospitalization risk and evaluate their predictive value for three-year mortality in older adults with CMM.\"},{\"question\":\"What data and population were used?\",\"answer\":\"The retrospective cohort uses National Health and Aging Trends Study data (2015–2018) linked to Medicare claims for community-dwelling adults aged 66 years and older.\"},{\"question\":\"How were gait speed and grip strength used in the analysis?\",\"answer\":\"Cut-off values were derived using sensitivity and specificity for one-year hospitalization risk, and three-year mortality was modeled with Cox proportional hazards regression stratified by sex and disease group.\"}]","Predictive Value of Gait Speed and Grip Strength for Mortality in Older Adults with Cardiometabolic Multimorbidity | PDF",1790642931]