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首页> 外文期刊>Clinical Interventions in Aging >Predictors of Fall Protective Behaviors Among Iranian Community-Dwelling Older Adults: An Application of the Protection Motivation Theory
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Predictors of Fall Protective Behaviors Among Iranian Community-Dwelling Older Adults: An Application of the Protection Motivation Theory

机译:伊朗社区住宅老年人坠落保护行为预测因素:保护动机理论的应用

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Purpose: The protection motivation theory (PMT) is a common framework understanding the use of protective behaviors. The aim of this study was to assess the predictors of fall protective behaviors among community-dwelling older adults, Iran. Methods: The cross-sectional study was conducted in Qom, Iran, from May to October 2018. Three hundred older people were selected from retirement centers via stratified sampling method. Data were collected by a questionnaire containing items on socio-demographic information, Falls Behavioral (FaB) Scale, and PMT constructs scale. Data analysis was performed using descriptive statistics and structural equation modeling. Results: The mean (SD) age of the participants was 64.6 (5.5) and the majority were male (77.7%). Level of perceived fall threat was lower than perceived efficacy of fall protective behaviors. There was a significant relationship between protection motivation and fall protective behaviors (β= 0.515, t-value= 13.650). Coping appraisals (β= 0.409, t-value= 7.352) and fear (β= 0.194, t-value= 2.462) were associated with motivation. The model explained approximately 27% of the variance in fall protective behaviors. The goodness of fit index of 0.48 indicating the model good fit. Conclusion: The results indicated that protection motivation, coping appraisals and reasonable fear are considered as the strongest predictors of fall protective behaviors among older people. The results can help health care providers to develop appropriate interventions to fall prevention among older people.
机译:目的:保护动机理论(PMT)是一个常见的框架,了解使用保护行为。本研究的目的是评估社区住宅年龄伊朗的社区住宅中坠落保护行为的预测因素。方法:横断面研究于2018年5月至10月,伊朗爵士进行。通过分层采样方法从退休中心选出三百名老年人。通过包含社会人口统计信息的项目的调查问卷收集数据,下降行为(Fab)规模和PMT构建规模。使用描述性统计和结构方程建模进行数据分析。结果:参与者的平均值(SD)年龄为64.6(5.5),大多数是男性(77.7%)。感知跌倒威胁的水平低于秋季保护行为的疗效。保护动机与秋季保护行为之间存在显着的关系(β= 0.515,T值= 13.650)。应对评估(β= 0.409,T值= 7.352)和恐惧(β= 0.194,T值= 2.462)与动机相关。该模型解释了秋季保护行为中约27%的差异。拟合指数为0.48表示模型合适的良好。结论:结果表明,保护动机,应对评估和合理的恐惧被认为是老年人坠落保护行为的最强预测因子。结果可以帮助医疗保健提供者制定适当的干预措施来预防老年人。

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