TY - JOUR
T1 - Modifiable risk factors for falls in community-dwelling older adults
AU - Cotton, Kelly
AU - Jin, Ying
AU - Verghese, Joe
N1 - Publisher Copyright:
© The Author(s) 2026. Published by Oxford University Press on behalf of the Gerontological Society of America. All rights reserved. For commercial re-use, please contact [email protected] for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact [email protected]. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/pages/standard-publication-reuse-rights)
PY - 2026/6
Y1 - 2026/6
N2 - Background and Objectives: Nearly 30% of U.S. adults aged 65 and older fall each year, and falls are the leading cause of injury and injury-related deaths in this population. Our objective was to identify potentially modifiable risk factors for falls, which will be important in determining the most effective targets for interventions and help refine fall prevention guidelines. Research Design and Methods: Our sample included 3,111 community-dwelling older adults (65 years and older, 57% women) without dementia from the Health and Retirement Study (2010 wave) who reported falls at baseline and 2 years later. We examined the association between reported falls at follow-up and 15 potentially modifiable medical and lifestyle risk factors using logistic regression models, overall and stratified by sex. We calculated the adjusted odds ratio (aOR) and Population Attributable Fraction (PAF) for each risk factor. Results: Falls were reported in 1,027 participants (33%) at follow-up. In females, previous fall history (aOR 2.95), heart conditions (aOR 1.38), and pain (aOR 1.40) predicted incident falls and together accounted for 42% of the PAF for falls. In males, previous fall history (aOR 4.74), poor balance (aOR 1.64), poor hearing (aOR 1.83), and physical inactivity (aOR 1.42) predicted incident falls and together accounted for 52% of the PAF for falls. Discussion and Implications: Several potentially modifiable risk factors were associated with incident falls in older adults and differed by sex. These results are a key initial step in identifying older adults with the highest fall risk and who may most benefit from targeted interventions.
AB - Background and Objectives: Nearly 30% of U.S. adults aged 65 and older fall each year, and falls are the leading cause of injury and injury-related deaths in this population. Our objective was to identify potentially modifiable risk factors for falls, which will be important in determining the most effective targets for interventions and help refine fall prevention guidelines. Research Design and Methods: Our sample included 3,111 community-dwelling older adults (65 years and older, 57% women) without dementia from the Health and Retirement Study (2010 wave) who reported falls at baseline and 2 years later. We examined the association between reported falls at follow-up and 15 potentially modifiable medical and lifestyle risk factors using logistic regression models, overall and stratified by sex. We calculated the adjusted odds ratio (aOR) and Population Attributable Fraction (PAF) for each risk factor. Results: Falls were reported in 1,027 participants (33%) at follow-up. In females, previous fall history (aOR 2.95), heart conditions (aOR 1.38), and pain (aOR 1.40) predicted incident falls and together accounted for 42% of the PAF for falls. In males, previous fall history (aOR 4.74), poor balance (aOR 1.64), poor hearing (aOR 1.83), and physical inactivity (aOR 1.42) predicted incident falls and together accounted for 52% of the PAF for falls. Discussion and Implications: Several potentially modifiable risk factors were associated with incident falls in older adults and differed by sex. These results are a key initial step in identifying older adults with the highest fall risk and who may most benefit from targeted interventions.
KW - Falls
KW - Health and Retirement Study
KW - Population attributable fraction
KW - Risk factors
UR - https://www.scopus.com/pages/publications/105040868798
U2 - 10.1093/geront/gnag086
DO - 10.1093/geront/gnag086
M3 - Article
C2 - 42082404
AN - SCOPUS:105040868798
SN - 0016-9013
VL - 66
JO - Gerontologist
JF - Gerontologist
IS - 6
M1 - gnag086
ER -