ArticleJournal of family medicine and primary care2024
Prevalence and risk factors for falls among the community dwelling older adults of Thrissur: A pilot study.
Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Explainable AI reveals temporal risk pathways in fall prediction: Extracting clinical insights from multi-horizon machine learning models.GeroScience · 2026Article
- Machine learning-based prediction model for fall risk among individuals with arthritis in China: an analysis using the China Health and Retirement Longitudinal Study (CHARLS) database.Journal of health, population, and nutrition · 2026Article
- 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
3 authors.
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Abstract
Background: According to World Health Organization (WHO) statistics, every year 28-35% of people over 65 years and 32-42% of people over 70 years experience falls. Given that many falls are preventable, can occur in any population, and can result in significant morbidity and mortality, falls are receiving more attention as a major global issue. Objective: The objectives of this study were as follows: 1. To measure the prevalence of falls among the elderly living in the Thrissur Taluk Health Centre. 2. To identify the risk factors associated with falls in the elderly using the Centre for Disease Control and Prevention, Stopping Elderly Accidents, Deaths and Injuries (CDCs STEADI) 2019 scale and the Timed Up and Go (TUG) scale. 3. To find the association between the risk factors and the prevalence of fall among older people. Materials and Methods: A cross-sectional study was conducted to find the prevalence of fall among the elderly in Thrissur Taluk Health Centers. CDCs STEADI 2019 fall risk assessment tool was used to assess the risk factors associated with the elderly. TUG test was used to determine gait, balance, strength, and posture. Results: In our study, we discovered a prevalence of 41 percent of falls among the community-dwelling older adults of Thrissur. This study has shown that the risk of fall was higher among the female elderly population. 88% are found to be at high risk of fall, and 65% of the population were worried about fall. Conclusion: This study found out a high prevalence of falls among community dwelling older adults.A future study with a larger sample size would be more helpful to confirm the impact of different variables in relation to the risk of fall among the elderly.
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