Which Health Conditions Impact on Productivity in Working Australians?
Author(s)
Holden, Libby
Scuffham, Paul A
Hilton, Michael F
Ware, Robert S
Vecchio, Nerina
Whiteford, Harvey A
Year published
2011
Metadata
Show full item recordAbstract
Objective: To identify health conditions associated with productivity loss in working Australians, adjusting for comorbidity, demographics, and work-related characteristics. Methods: 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. ...
View more >Objective: To identify health conditions associated with productivity loss in working Australians, adjusting for comorbidity, demographics, and work-related characteristics. Methods: 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. Results: 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. Conclusion: Mental health conditions contributed more strongly to productivity loss than other investigated health conditions.
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View more >Objective: To identify health conditions associated with productivity loss in working Australians, adjusting for comorbidity, demographics, and work-related characteristics. Methods: 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. Results: 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. Conclusion: Mental health conditions contributed more strongly to productivity loss than other investigated health conditions.
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Journal Title
Journal of Occupational and Environmental Medicine
Volume
53
Issue
3
Subject
Nursing
Human resources and industrial relations
Epidemiology
Public health