ArticleHeliyon2022
Association between meteorological factors and elderly falls in injury surveillance from 2014 to 2018 in Guangzhou, China.
Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Hourly Relative Humidity and Fall Injuries in China: A Nationwide Case-Crossover Study Based on 4.19 Million Cases.Environment & health (Washington, D.C.) · 2025Article
- Trends in burden of falls among children aged 0-14 years in China from 1990-2021 and prediction to 2030.Frontiers in public health · 2025Article
- Association between ambient temperature and economic burden of unintentional injury in Tianjin: a case-crossover study.BMJ open · 2024Article
- Association between abdominal obesity indices and falls among older community-dwellers in Guangzhou, China: a prospective cohort study.BMC geriatrics · 2024Article
- Associations between type 2 diabetes mellitus and risk of falls among community-dwelling elderly people in Guangzhou, China: a prospective cohort study.BMC geriatrics · 2024Article
- Article
- Prevalence of falls, injury from falls and associations with chronic diseases among community-dwelling older adults in Guangzhou, China: a cross-sectional study.Frontiers in public health · 2023Article
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Authors and funding
14 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: With rapid increase in the aging population, falls injuries have become an important public health problem. However, limited data have been reported on the associations between meteorological factors and falls injuries in the elderly. This study assessed the epidemiology of falls injuries and explored this association in the elderly in Guangzhou, China. Methods: Data on elderly falls injury cases and meteorological variables from 2014 to 2018 in Guangzhou were collected from the Guangzhou Injury Monitoring System and Guangzhou Meteorological Bureau, respectively. The monthly average data on falls injuries and meteorological factors were applied to the data analysis. These correlations were conducted using Pearson correlation analysis. A multiple linear regression model was used to estimate the effects of meteorological factors on falls injuries in the elderly in Guangzhou, China. Results: Accounting for 49.41% of causes of elderly injury were falls in the Guangzhou Injury Monitoring System from 2014 to 2018, which occupied first place for five consecutive years. The monthly number of elderly falls injury cases was lowest in April and highest in December, and had a positive correlation with monthly mean wind speed ( Conclusions: Falls are the primary cause of injury among elderly people in Guangzhou, China. Meteorological factors are related to falls injuries in the elderly population. Decreasing activity during high wind and low atmospheric pressure weather may help reduce the number of elderly falls injury cases.
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