School of Medicine, Griffith University, Brisbane, Australia.
J Occup Environ Med. 2011 Mar;53(3):253-7. doi: 10.1097/JOM.0b013e31820d1007.
To identify health conditions associated with productivity loss in working Australians, adjusting for comorbidity, demographics, and work-related characteristics.
The Australian Work Outcomes Research Cost-benefit study cross-sectional screening data set was used to identify health-related productivity losses in a sample of approximately 78,000 working Australians. Data collected with the World Health Organisation Health and Productivity Questionnaire were analyzed using negative binomial logistic regression and multinomial logistic regression models for absenteeism and presenteeism, respectively.
Health conditions impacted on both presenteeism and absenteeism. Drug and alcohol problems and psychological distress had a greater impact on absenteeism and presenteeism than other investigated health conditions. Demographic characteristics, health status (comorbidity), and work-related characteristics all impacted significantly on both absenteeism and presenteeism.
Mental health conditions contributed more strongly to productivity loss than other investigated health conditions.
确定与澳大利亚工作人群生产力损失相关的健康状况，同时调整共病、人口统计学和与工作相关的特征的影响。
本研究使用澳大利亚工作成果研究成本效益研究的横断面筛查数据集，对约 78000 名澳大利亚工作人群中的与健康相关的生产力损失进行了识别。使用世界卫生组织健康和生产力问卷收集的数据，分别采用负二项逻辑回归和多项逻辑回归模型对缺勤和出勤进行了分析。
健康状况对缺勤和出勤都有影响。药物和酒精问题以及心理困扰对缺勤和出勤的影响大于其他研究的健康状况。人口统计学特征、健康状况（共病）和与工作相关的特征对缺勤和出勤都有显著影响。
心理健康状况对生产力损失的贡献大于其他研究的健康状况。
