Predictive Value of Gait Speed and Grip Strength for Mortality in Older Adults with Cardiometabolic Multimorbidity

Abstract This 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 proportional 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) and 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 < 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.

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Journal
Innovation in Aging
Published
2025-12-01
DOI
https://doi.org/10.1093/geroni/igaf122.4178
Primary Topic
Chronic Disease Management Strategies
Type
article
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article

Predictive Value of Gait Speed and Grip Strength for Mortality in Older Adults with Cardiometabolic Multimorbidity

Lin-na Chou, Julie J. Keysor, Amol Karmarkar, Shweta Gore et al.
Innovation in Aging
Chronic Disease Management Strategies
article

Predictive Value of Gait Speed and Grip Strength for Mortality in Older Adults with Cardiometabolic Multimorbidity

Lin-na Chou, Julie J. Keysor, Amol Karmarkar, Shweta Gore, Hyeon Hong, Amit Kumar
article en

Abstract

Abstract This 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 proportional 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) and 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 < 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.

Innovation in AgingVol. 9(Supplement_2)
University of Massachusetts Lowell (US), MGH Institute of Health Professions (US), Virginia Commonwealth University (US), University of Utah (US), Saratoga Hospital (US)
Good health and well-being
Openalex Percentile: Top 28%
Chronic Disease Management Strategies
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