Physical Activity, Comorbid Health Symptoms and Falls in Diverse Older Americans at Different Cognitive Stages

Abstract Background Engagement in regular physical activity is considered one of the most effective interventions in fall prevention, while physical inactivity is often associated with an increased risk of falls. However, research on the relationship between physical activity and falls in older adults at different cognitive stages is limited. This study describes the association of physical activity and comorbid health symptoms (depression, obesity, pain, and shortness of breath) with falls in persons with normal cognition (NC) and impaired cognition (IC). Method We conducted a cross‐sectional study on Health and Retirement Study participants aged 65 and above (N = 8,943) using datasets from the 2020 interviews. Our measures include the 27‐point cognition scale, physical activity questionnaire, Center for Epidemiological Studies Depression scale, and health questionnaire. Result Main logistic regression results (Table 2) showed that participants with IC were 26% more likely to fall than those with NC. Participants with moderate and high physical activity engagement were less likely to fall (31% and 36%, respectively) than physically inactive participants. However, there was no significant association between mild activity and physical inactivity. In our stratified models (Table 3), each physical activity level was significantly associated with a decreased risk of falls in the IC group, with high activity engagement showing the strongest effect. We observed similar significant trends in the NC group for high and moderate activity engagement but not mild activity. Black participants were 37% to 39% less likely to fall in the NC and IC groups. Although the risk of falling was 29% less in Hispanic participants in the NC group, the association of ethnicity and falls was non‐significant in the IC group. Women had a higher risk of falls than men; the effect of this relationship was marginal in the IC group and significant in the NC group. Depression, pain, and shortness of breath were significantly associated with falls in both cognition groups, whereas the relationship between obesity and falls was significant only in the NC group. Conclusion These findings inform fall prevention programs for older persons at different cognitive stages, considering ethnic, racial, and gender disparities and comorbid symptoms.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.095655
Citations
1
Primary Topic
Health and Wellbeing Research
Type
article
Field-Weighted Citation Impact
0.85
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Physical Activity, Comorbid Health Symptoms and Falls in Diverse Older Americans at Different Cognitive Stages

Ladda Thiamwong, Tom Cidav, Ayse Malatyali, Lisa Kirk Wiese et al.
1 citations
Alzheimer s & Dementia
Health and Wellbeing Research
0.85
article

Physical Activity, Comorbid Health Symptoms and Falls in Diverse Older Americans at Different Cognitive Stages

Ladda Thiamwong, Tom Cidav, Ayse Malatyali, Lisa Kirk Wiese, Rui Xie
article en
1 citations

Abstract

Abstract Background Engagement in regular physical activity is considered one of the most effective interventions in fall prevention, while physical inactivity is often associated with an increased risk of falls. However, research on the relationship between physical activity and falls in older adults at different cognitive stages is limited. This study describes the association of physical activity and comorbid health symptoms (depression, obesity, pain, and shortness of breath) with falls in persons with normal cognition (NC) and impaired cognition (IC). Method We conducted a cross‐sectional study on Health and Retirement Study participants aged 65 and above (N = 8,943) using datasets from the 2020 interviews. Our measures include the 27‐point cognition scale, physical activity questionnaire, Center for Epidemiological Studies Depression scale, and health questionnaire. Result Main logistic regression results (Table 2) showed that participants with IC were 26% more likely to fall than those with NC. Participants with moderate and high physical activity engagement were less likely to fall (31% and 36%, respectively) than physically inactive participants. However, there was no significant association between mild activity and physical inactivity. In our stratified models (Table 3), each physical activity level was significantly associated with a decreased risk of falls in the IC group, with high activity engagement showing the strongest effect. We observed similar significant trends in the NC group for high and moderate activity engagement but not mild activity. Black participants were 37% to 39% less likely to fall in the NC and IC groups. Although the risk of falling was 29% less in Hispanic participants in the NC group, the association of ethnicity and falls was non‐significant in the IC group. Women had a higher risk of falls than men; the effect of this relationship was marginal in the IC group and significant in the NC group. Depression, pain, and shortness of breath were significantly associated with falls in both cognition groups, whereas the relationship between obesity and falls was significant only in the NC group. Conclusion These findings inform fall prevention programs for older persons at different cognitive stages, considering ethnic, racial, and gender disparities and comorbid symptoms.

Alzheimer s & DementiaVol. 20(S8)
University of Central Florida (US), United States Department of Veterans Affairs (US), Florida Atlantic University (US)
Openalex Percentile: Top 18%
Health and Wellbeing Research
0.85
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.