Evidence map›Paper›PMID 42219475›Full record

ArticleBMC public health2026

Analysis of the epidemiological features and factors associated with falls among the elderly in urban and rural areas of Chongqing, China: a cross-sectional study.

Xianxian Yang, Wanhua Li, Jiajing Zheng, Jitong He, Changsheng Xu, Xianbin Ding, Ting Chen

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Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Xianxian YangDepartment of Non-Communicable Disease Control and Prevention, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, 400707, China.
Wanhua LiDazu District Center for Disease Control and Prevention, Chongqing, 402360, China.
Jiajing ZhengSchool of Public Health, Chongqing Medical University, Chongqing, 400016, China.
Jitong HeSchool of Global Public Health, New York University, New York City, NY, 10012, USA.
Changsheng XuWanzhou District Center for Disease Control and Prevention, Chongqing, 404100, China.
Xianbin DingDepartment of Non-Communicable Disease Control and Prevention, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, 400707, China. xianbinding@126.com.
Ting ChenDepartment of Non-Communicable Disease Control and Prevention, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, 400707, China. tingchencqjk@126.com.

Funding

Chongqing special project for Science and Technology Communication and Popularization cstc2024kpzx-kpzpAX0022The First batch of key Disciplines on Public Health in Chongqing, Chongqing Medical Scientific Research Project 2022MSXM138,2025MSXM063
6 · The paper itself

Abstract

backgroundFalls pose a significant health risk for the elderly, frequently resulting in serious injuries and diminished quality of life. Understanding the prevalence and influencing factors of falls among older adults in various environments, such as urban and rural settings, is essential for developing effective prevention strategies.

methodsIn 2022, a multistage cluster random sampling approach was employed to select a total of 3,072 participants aged 60 and above from eight districts or counties in Chongqing. Structured questionnaires via face-to-face interviews were used to evaluate demographic characteristics, fall-related risk factors, fall occurrence, and fall-related knowledge, attitude, and practice (KAP). Chi-square tests were carried out to contrast the differences in the 12-month prevalence of falls, and a multivariate logistic backward Wald regression analysis was conducted to pinpoint the factors related to falls.

resultsThe weighted 12-month prevalence of falls among adults aged ≥ 60 years in Chongqing was 20.28% (15.95% in urban areas and 24.78% in rural areas). while the unweighted crude prevalence was 26.95% (828/3,072). Among those who fell (n = 828), 25.36% experienced exactly two falls, and 16.67% experienced three or more falls. The rate of injury from falls was 56.64%. Multivariate analysis showed that the associated factors of falls among older adults included female sex (OR = 1.61, 95% CI: 1.19-2.18) in urban, OR = 1.55, 95% CI: 1.20-2.00 in rural), fear of falling (OR = 1.69, 95% CI: 1.23-2.32 in urban, OR = 1.85, 95% CI: 1.36-2.50 in rural), "general" self-reported health condition (OR = 1.46, 95% CI: 1.02-2.10 in rural), "poor" self-reported health condition (OR = 2.35, 95% CI: 1.57-3.53 in rural), heart disease (OR = 1.80, 95% CI: 1.29-2.51 in urban), asthma (OR = 2.11, 95% CI: 1.08-4.14 in urban), ADL(function decline: OR = 2.12, 95% CI:1.35-3.30 in urban, functional disability: OR = 2.51, 95% CI: 1.48-4.25 in urban).

conclusionsIt has been observed that a high prevalence of falls exists among the aged population in Chongqing, China. The elements related to falls among the senior citizens in both the urban and rural areas of Chongqing present certain resemblances as well as distinctions. Therefore, putting into practice targeted interventions that are specially devised for the elderly in diverse regions may turn out to be more efficient in lessening the risk of falls.

Indexed as

Accidental FallsRural PopulationUrban PopulationAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPrevalenceRisk FactorsSurveys and QuestionnairesCross-sectional studyEpidemiologyFallsUrban and rural

Identifiers

PMID42219475
PMCPMC13428430

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