Methods: Secondary data analysis was conducted on information collected Korean Longitudinal Study of Aging (KLoSA). KLoSA is a national panel data set that is publicly available. Data collected from 4,163 community-dwelling elderly in 2006 and 2008. Each subject was assessed by individual records of history and physical performance tests. Falls were recorded in frequency of fall for past 2 years. Data were analyzed by Chi-square, t-test, and zero-inflated negative binominal regression. Count models were estimated using STATA version 10.0 and regression tree with R program.
Results: The incidence of falls among community-dwelling elderly in Korea was 6.5%. Significant predictors of being a non-faller or a faller were vision, place of residence, pain and depression (p < .05). And significant predictors of being a recurrent faller were place of residence, alcohol and fear of falls (p < .05). For diagnosis and predicting regression trees of recurrent fallers were as follows (characteristics of high risk group): fear of falls (always worried), height (<175.5cm), age (<78.5year), vision (very bad), Quality of life (lower), and then height (<159.5cm).
Conclusion: These results provide new points of view of nursing implication for fall prevention of elderly in Korea. First, this study provides additional methodological option to study for prevention of falls and decrease the numbers of recurrent falls in elderly. This paper summarizes information to help guide the health care providers in choosing the high risk group of falls and the most appropriate preventing intervention. Second, this secondary-analysis provides comprehensive evidence-based assessment of risk factors for falls and recurrent falls in older people, confirming their multifactor etiology. Thus, the findings of this study will be the basis for effective intervention program to prevent falls and repeat falls.
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