Self-rated health, physical activity, measures of physical functioning and mortality among older U.S. adults

Abstract The objective of this study was to determine if different measures of physical functioning (PF) can predict mortality independent of self-rated health (SRH) and physical activity (PA). A baseline sample of 6,173 adults 65+ years of age were included from the 2001-2018 NHANES. A SRH variable was created with categories of excellent/very good, good, fair, and poor. PA status was based on participants reporting either no (inactive) or at least some (active) recreational PA. Seven different PF measures were used and included a 19-item total PF score (PFT), activities of daily living (ADL), instrumental activities of daily living (IADL), leisure and social activities (LSA), general physical activities (GPA), lower extremity mobility (LEM), and an IRT-derived total PF score (PFIRT). All PF measures were scored so larger values represented greater PF limitation. Seven Cox regression models were employed each with a different PF measure and adjusted for age, sex, race, income, SRH, PA, BMI, BSI, smoking, alcohol consumption, and comorbidities. A total of 2,103 deaths occurred during a median follow-up of 10.3 years. Risk of death decreased for 1st (HR = 0.70, 0.60-0.82), 2nd (HR = 0.77, 0.64-0.93), and 3rd (HR = 0.82, 0.72-0.94) PFIRT quartiles (reference: 4th), increased for poor (HR = 2.11, 1.51-2.97), fair (HR = 1.82, 1.54-2.15), and good (HR = 1.20, 1.07-1.35) SRH (reference: excellent/very good), and increased for inactive (HR = 1.27, 1.12-1.43) PA status (reference: active). All PF models saw similar results less LSA where LSA lost its predictive ability. These findings indicate that SRH, PA, and PF are robust independent predictors of all-cause mortality in older adults.

Authors

Institutions

Publication Details

Journal
Innovation in Aging
Published
2025-12-01
DOI
https://doi.org/10.1093/geroni/igaf122.4005
Primary Topic
Physical Activity and Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self-rated health, physical activity, measures of physical functioning and mortality among older U.S. adults

Peter D. Hart
Innovation in Aging
Physical Activity and Health
article

Self-rated health, physical activity, measures of physical functioning and mortality among older U.S. adults

Peter D. Hart
article en

Abstract

Abstract The objective of this study was to determine if different measures of physical functioning (PF) can predict mortality independent of self-rated health (SRH) and physical activity (PA). A baseline sample of 6,173 adults 65+ years of age were included from the 2001-2018 NHANES. A SRH variable was created with categories of excellent/very good, good, fair, and poor. PA status was based on participants reporting either no (inactive) or at least some (active) recreational PA. Seven different PF measures were used and included a 19-item total PF score (PFT), activities of daily living (ADL), instrumental activities of daily living (IADL), leisure and social activities (LSA), general physical activities (GPA), lower extremity mobility (LEM), and an IRT-derived total PF score (PFIRT). All PF measures were scored so larger values represented greater PF limitation. Seven Cox regression models were employed each with a different PF measure and adjusted for age, sex, race, income, SRH, PA, BMI, BSI, smoking, alcohol consumption, and comorbidities. A total of 2,103 deaths occurred during a median follow-up of 10.3 years. Risk of death decreased for 1st (HR = 0.70, 0.60-0.82), 2nd (HR = 0.77, 0.64-0.93), and 3rd (HR = 0.82, 0.72-0.94) PFIRT quartiles (reference: 4th), increased for poor (HR = 2.11, 1.51-2.97), fair (HR = 1.82, 1.54-2.15), and good (HR = 1.20, 1.07-1.35) SRH (reference: excellent/very good), and increased for inactive (HR = 1.27, 1.12-1.43) PA status (reference: active). All PF models saw similar results less LSA where LSA lost its predictive ability. These findings indicate that SRH, PA, and PF are robust independent predictors of all-cause mortality in older adults.

Innovation in AgingVol. 9(Supplement_2)
Florida Department of Education (US)
No poverty
Openalex Percentile: Top 31%
Physical Activity and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.