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Zero-Inflated Poisson Modeling of Fall Risk Factors in Community-Dwelling Older Adults

机译:社区居民中老年人跌倒危险因素的零膨胀泊松建模

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The aim of this study was to identify risk factors for falls among community-dwelling older adults. The study used a cross-sectional descriptive design. Self-report questionnaires were used to collect data from 658 community-dwelling older adults and were analyzed using logistic and zero-inflated Poisson (ZIP) regression. Perceived health status was a significant factor in the count model, and fall efficacy emerged as a significant predictor in the logistic models. The findings suggest that fall efficacy is important for predicting not only faller and nonfaller status but also fall counts in older adults who may or may not have experienced a previous fall. The fall predictors identified in this studyperceived health status and fall efficacyindicate the need for fall-prevention programs tailored to address both the physical and psychological issues unique to older adults.
机译:这项研究的目的是确定在社区居住的老年人中跌倒的危险因素。该研究使用了横截面描述性设计。自我报告调查表用于收集658位社区居住的老年人的数据,并使用logistic和零膨胀泊松(ZIP)回归进行了分析。在计数模型中,感知到的健康状况是一个重要因素,而在逻辑模型中,跌倒功效作为重要的预测指标出现了。研究结果表明,跌倒功效不仅对于预测跌倒者和非跌倒者的状态非常重要,而且对于可能经历或未经历过先前跌倒的老年人来说,跌倒次数也很重要。在这项研究中确定的跌倒预测因素可以感知健康状况和跌倒功效,这表明需要针对老年人特有的生理和心理问题量身定制的跌倒预防计划。

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