biostudies-literatureDiekmann RBundesministerium für Bildung und ForschungCarl von Ossietzky Universität Oldenburg2769-2778https://www.ebi.ac.uk/biostudies/studies/S-EPMC9675680biostudies-literatureUnknown34(11)<h4>Background</h4>When older adults fall below the thresholds of functional geriatric assessment (FGA), they may already be at risk of mobility impairment. A reduction in (jumping) power could be an indication of functional decline, one of the main risk factors for falls.<h4>Objective</h4>This paper explores whether six-month delta (∆) values of muscle power can predict 24-month follow-up FGA in older adults.<h4>Methods</h4>This observational study of independent, healthy, high-performing community-dwelling adults aged 70 + years involved FGA (mobility, balance, and endurance tests) at baseline (t₀), after 6 months (t₁), and after 24 months (t₂); maximum jumping power (max JP) was determined at t₀ and t₁. A predictive linear model wasAging clinical and experimental researchAre vertical jumps able to predict 24-month follow-up functional geriatric assessment in a healthy community-dwelling older cohort?PMC967568001EL1422DBauer JMZieschang THellmers SElgert LHeinks ADiekmann RHein ALau SfalseAre vertical jumps able to predict 24-month follow-up functional geriatric assessment in a healthy community-dwelling older cohort?<h4>Background</h4>When older adults fall below the thresholds of functional geriatric assessment (FGA), they may already be at risk of mobility impairment. A reduction in (jumping) power could be an indication of functional decline, one of the main risk factors for falls.<h4>Objective</h4>This paper explores whether six-month delta (∆) values of muscle power can predict 24-month follow-up FGA in older adults.<h4>Methods</h4>This observational study of independent, healthy, high-performing community-dwelling adults aged 70 + years involved FGA (mobility, balance, and endurance tests) at baseline (t₀), after 6 months (t₁), and after 24 months (t₂); maximum jumping power (max JP) was determined at t₀ and t₁. A predictive linear model was2022-01-01T00:00:00Z2022 Nov2025-04-04T22:35:26.676Z2025-04-04T22:35:26.676ZS-EPMC96756803605344210.1007/s40520-022-02230-9