ArticleScientific reports2024
Analysis of factors influencing fall risk among elderly people in rural of China.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Risk factors for falls among older adults in China: a cross-sectional study.BMC public health · 2026Article
- "How did I fall?"A narrative analysis of fall experiences among older adults in China.BMC public health · 2026Article
- Self-rated fall risk and its associated factors among older adults: a community-based cross-sectional study in rural Minia, Egypt.BMJ public health · 2026Article
- Analysis of influencing factors and prediction of falls among rural older adults in China based on a nomogram model.Frontiers in public health · 2026Article
- The mediating roles of activities of daily living and depression in the relationship between pain and sleep duration among rural older adults in China: a cross-sectional study.Frontiers in public health · 2025Article
- The association between anserine bursa pain and fall susceptibility: a prospective analysis of the osteoarthritis initiative.Frontiers in aging · 2025Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Falls can cause serious health problems in the elderly. China is gradually entering a moderately aging society. In rural areas of China, the elderly are at a higher risk of falling. This study aims to explore and analyze the factors affecting the fall risk of elderly people in rural areas of China, and provide theoretical basis for reducing the fall risk of elderly people. M County, Anhui Province, China was selected as the survey site by the typical field sampling method, and the elderly people in rural areas were selected as the research objects. A total of 1187 people were investigated. Mann-Whitney U test and Kruskal-Wallis H test were used for univariate analysis, and multiple linear regression was used for multivariate analysis. Chronic diseases, multimorbidity, daily living ability, mental health, working status and family doctors are the factors that influence falls among elderly people in rural areas of China (P < 0.05, Adjusted R
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