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首页> 外文期刊>American journal of health promotion: AJHP >Lifestyle behavior change and repeat health risk appraisal participation: A structural equation modeling approach
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Lifestyle behavior change and repeat health risk appraisal participation: A structural equation modeling approach

机译:生活方式行为改变和重复健康风险评估参与:结构方程式建模方法

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Purpose. Health risk appraisals (HRAs) have been used to address multiple health concerns and lifestyle behaviors. We explore the longitudinal relationship between emotional health, stage of change for five lifestyle behaviors, and lifestyle risks using HRA-generated data. Design. Secondary analysis of 3 years of HRA data. Setting. A large health care management services provider. Subjects. A total of 7535 adults employed across three companies who completed consecutive HRAs over a 3-year period. Measures. Self-report items concerning participant health, lifestyle behaviors, disease risk factors, job/life satisfaction, safety, and biometrics. Analysis. Structural equation modeling tested a hypothesized longitudinal, fully cross-lagged panel design. Results. Results indicated that greater numbers of physical and behavioral risks classified as high risk were associated with greater intention to change or an actual change in lifestyle behavior in the following year. In addition, poorer emotional health was associated with a higher number of risks. Conclusion. Data from repeat participation in HRAs can be useful in studying multiple risk behaviors and related health measures, supporting the design and evaluation of effective, individualized, and responsive health promotion activities for working adults.
机译:目的。健康风险评估(HRA)已被用于解决多种健康问题和生活方式行为。我们探讨了情绪健康,五种生活方式行为的变革阶段之间的纵向关系,以及使用HRA生成的数据的生活方式风险。设计。 HRA数据3年的二次分析。环境。大型医疗保健服务提供商。主题。共计7535名成年人,在3年内完成连续HRA的三家公司。措施。关于参与者健康,生活方式行为,疾病风险因素,工作/生活满意度,安全性和生物识别的自我报告项目。分析。结构方程模型测试了一个假设的纵向,完全交叉滞后的面板设计。结果。结果表明,归类为高风险的更多数量的身体和行为风险与更大的意图改变或持续改变生活方式行为的实际变化。此外,情绪健康较差的风险有关。结论。来自HRAS的重复参与的数据对于研究多种风险行为和相关的健康措施,可以帮助支持工作成人的有效,个性化和响应性健康促进活动的设计和评估。

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