Abstract
We explore the prevalence and influencing factors of falls among community-dwelling older adults in Nanjing, and to analyze the influencing pathways among different factors. From December 2022 to December 2023, convenience sampling was used to select 3267 elderly people from 6 communities in Nanjing. The general information questionnaire was used to collect the occurrence of falls and other health conditions among baseline older adults. Cox proportional hazards model was used to analyze the influencing factors of falls. Bayesian network modeling were used to analyze the influence pathways of the influencing factors. A final valid sample of 2154 older adults was included,and the prevalence of falls was 25. 53% (95% CI: 24. 13% ~ 26. 97%).Cox proportional hazards model showed that female (HR = 1. 257, 95% CI: 1. 095-1. 435), ≥75 years (HR = 1. 349, 95% CI: 1. 133-1. 592), low socioeconomic level (HR = 1. 307, 95% CI: 1. 146-1. 499) and multiple drug use (HR = 1. 920, 95% CI: 1. 311-2. 789) increased the risk of falls occurring in elders. The result of Bayesian Network model show that age. self-assessment of health status, gender, low socioeconomic level. and multiple drug use were the important influencing factors of falls. and the area under the curve was 0.712. Community nurses should focus on screening the fall risk of elderly people in communities with low socioeconomic status, elderly,female, and those with multiple drug use, and reduce the fall risk of elderly people in communities through targeted measures.
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
Economic and Demographic Perspectives on Aging
KEYWORDS
Falls; Cox Proportional Hazards Model; Bayesian Network
