Research on intrinsic capacity as a predictor of falls and disability in community-dwelling elderly

BackgroundWith aging, a decline in intrinsic capacity can lead to functional impairments, thereby increasing the risk of adverse health outcomes.ObjectivesThis study aims to explore the prediction of intrinsic capacity decline on adverse health outcomes, such as falls and disability, over the course...

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Main Authors: Aihong Liu, Yanjie You, Yumei Wang, Ling Li, Jinrong Yuan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Aging
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fragi.2025.1589369/full
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author Aihong Liu
Yanjie You
Yumei Wang
Ling Li
Jinrong Yuan
author_facet Aihong Liu
Yanjie You
Yumei Wang
Ling Li
Jinrong Yuan
author_sort Aihong Liu
collection DOAJ
description BackgroundWith aging, a decline in intrinsic capacity can lead to functional impairments, thereby increasing the risk of adverse health outcomes.ObjectivesThis study aims to explore the prediction of intrinsic capacity decline on adverse health outcomes, such as falls and disability, over the course of 1 year. By addressing the gap in longitudinal research on community populations in China, the study seeks to deepen the local understanding of healthy aging theory, providing theoretical support for the development of elderly health intervention strategies tailored to Chinese contexts.MethodsA convenience sampling method was employed to select 248 community-dwelling elderly participants. Over a 1-year follow-up period, the outcomes of falls and disability were monitored. Logistic regression analysis was used to evaluate the relationship between intrinsic capacity and these outcomes.ResultsAmong the 248 participants, 46 (19%) experienced falls, and 31 (12.8%) became disabled during the follow-up year. The locomotive dimension (OR = 25.87, 95% CI: 2.95–227.03), psychological dimension (OR = 25.29, 95% CI: 6.45–99.28), and sensory dimensions (OR = 10.75, 95% CI: 2.92–39.56) were identified as significant risk factors for falls. For disability, the locomotive dimension (OR = 4.15, 95% CI: 0.97–17.72), cognitive dimension (OR = 11.27, 95% CI: 3.51–36.18), and psychological dimension (OR = 4.58, 95% CI: 1.69–12.40) were significant risk factors.ConclusionDecline in intrinsic capacity serves as an independent predictor of both falls and disability among community-dwelling elderly individuals over the course of 1 year. Early identification of elderly individuals with decreased intrinsic capacity, along with targeted interventions based on different intrinsic capacity levels, can effectively reduce the incidence of falls and disability.
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spelling doaj-art-741f127cfb7f43c09590e8a0e7396d662025-08-20T03:12:38ZengFrontiers Media S.A.Frontiers in Aging2673-62172025-05-01610.3389/fragi.2025.15893691589369Research on intrinsic capacity as a predictor of falls and disability in community-dwelling elderlyAihong LiuYanjie YouYumei WangLing LiJinrong YuanBackgroundWith aging, a decline in intrinsic capacity can lead to functional impairments, thereby increasing the risk of adverse health outcomes.ObjectivesThis study aims to explore the prediction of intrinsic capacity decline on adverse health outcomes, such as falls and disability, over the course of 1 year. By addressing the gap in longitudinal research on community populations in China, the study seeks to deepen the local understanding of healthy aging theory, providing theoretical support for the development of elderly health intervention strategies tailored to Chinese contexts.MethodsA convenience sampling method was employed to select 248 community-dwelling elderly participants. Over a 1-year follow-up period, the outcomes of falls and disability were monitored. Logistic regression analysis was used to evaluate the relationship between intrinsic capacity and these outcomes.ResultsAmong the 248 participants, 46 (19%) experienced falls, and 31 (12.8%) became disabled during the follow-up year. The locomotive dimension (OR = 25.87, 95% CI: 2.95–227.03), psychological dimension (OR = 25.29, 95% CI: 6.45–99.28), and sensory dimensions (OR = 10.75, 95% CI: 2.92–39.56) were identified as significant risk factors for falls. For disability, the locomotive dimension (OR = 4.15, 95% CI: 0.97–17.72), cognitive dimension (OR = 11.27, 95% CI: 3.51–36.18), and psychological dimension (OR = 4.58, 95% CI: 1.69–12.40) were significant risk factors.ConclusionDecline in intrinsic capacity serves as an independent predictor of both falls and disability among community-dwelling elderly individuals over the course of 1 year. Early identification of elderly individuals with decreased intrinsic capacity, along with targeted interventions based on different intrinsic capacity levels, can effectively reduce the incidence of falls and disability.https://www.frontiersin.org/articles/10.3389/fragi.2025.1589369/fullelderlyintrinsic capacityfallsdisabilitycommunity elderly care
spellingShingle Aihong Liu
Yanjie You
Yumei Wang
Ling Li
Jinrong Yuan
Research on intrinsic capacity as a predictor of falls and disability in community-dwelling elderly
Frontiers in Aging
elderly
intrinsic capacity
falls
disability
community elderly care
title Research on intrinsic capacity as a predictor of falls and disability in community-dwelling elderly
title_full Research on intrinsic capacity as a predictor of falls and disability in community-dwelling elderly
title_fullStr Research on intrinsic capacity as a predictor of falls and disability in community-dwelling elderly
title_full_unstemmed Research on intrinsic capacity as a predictor of falls and disability in community-dwelling elderly
title_short Research on intrinsic capacity as a predictor of falls and disability in community-dwelling elderly
title_sort research on intrinsic capacity as a predictor of falls and disability in community dwelling elderly
topic elderly
intrinsic capacity
falls
disability
community elderly care
url https://www.frontiersin.org/articles/10.3389/fragi.2025.1589369/full
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