Factors associated with incidental sickness absence among employees in one health care system.

AMERICAN JOURNAL OF HEALTH PROMOTION(2009)

引用 17|浏览14
暂无评分
摘要
Purpose. Assess the association. of taking incidental sickness absence with health risks and health status. Design. Observational. Setting. One Midwest health care system. Subjects. Individuals who were employed for 2 years (2006-2007) and had completed at least one health risk appraisal (HRA) in 2007 (N = 3790). Measures. Outcomes were any incidental sickness absence and absence duration in 2007 measured by an absence tracking system. Health risks and health status were estimated HRAs. Program, participation Was captured using 7-year HRA data and 5-Year wellness data. Analysis. Multivariate, binary logistic regression, for the, probability of taking any absence day among, the overall population as well as four demographic subgroups; proportional odds model for the probability of taking more absence days. Results. Different patterns were observed in association with taking incidental sickness absence among age and gender subgroups. Among the overall population, three health risks (smoking, overweight, and use of medication for relaxation) were positively associated with taking absence (at least p < .05 for all three health risks). Participation in a wellness program for more years was also associated with a less likelihood of taking absence (odds ration, .72; p = .002). Results from the proportional odds model were consistent with results from the binary logistic regression. Conclusion. Sickness absence is an important productivity concern of employer. Employers may implement early interventions to focus on preventable causes. Special interventions may target absence-causing risks such as smoking behaviour and excess body weight. Study limitation includes a lack of measures for psychosocial work environmental. (Am J Health Promot 2009;24[1]:37-48.)
更多
查看译文
关键词
Absence,Health Risk Appraisal,Workplace,Health Promotion,Health Status indicators,Prevention Research
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要