Occupational groups and its physical and mental health correlates: results from the Singapore Mental Health Study 2016

• Published in: International archives of occupational and environmental health Vol. 95; no. 3; pp. 753 - 764
• Main Authors: Sambasivam, Rajeswari, Jeyagurunathan, Anitha, Abdin, Edimansyah, Shafie, Saleha, Chang, Sherilyn, Vaingankar, Janhavi Ajit, Chong, Siow Ann, Subramaniam, Mythily
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2022; Springer Nature B.V
• Subjects: Adolescent; Adult; Chronic pain; Demographics; Demography; Drug dependence; Earth and Environmental Science; Environment; Environmental Health; Epidemiology; Humans; Male; Mental disorders; Mental Disorders - epidemiology; Mental Health; Middle Aged; Nicotine; Occupational Medicine/Industrial Medicine; Original; Original Article; Prevalence; Productivity; Quality of Life; Rehabilitation; Risk Factors; Singapore - epidemiology; Sociodemographics; Singapore; Occupational groups; Physical conditions; Psychosocial; Mental wellbeing
• DOI: 10.1007/s00420-021-01741-8
• ISSN: 0340-0131

Purpose The physical and mental wellbeing of an individual is impacted by the type occupation one does. This study aims to establish the prevalence of mental and physical disorders, the association of occupational groups and health-related quality of life, and the extent of work-loss and work-cut back in past 30 days among the employed in the Singapore resident population. Methods Data from a population-based, epidemiological survey of a representative sample of Singapore citizens and permanent residents aged 18 years and above were used. Lifetime diagnosis of select mental disorders was established using the World Health Organization’s Composite International Diagnostic Interview version 3.0 (WHO-CIDI 3.0). Data on nicotine dependence, work productivity, quality of life and socio-demographics were obtained via self-report. Ten major occupational groups based on the Singapore Standard Occupational Classification were included in the analysis. Results The sample comprised 4021 employed individuals who were predominantly males (54.7%) and aged 35–49 years (35.4%). ‘Service and sales workers’ (22.6%), ‘Professionals’ (17.3%) and ‘Legislators, senior officials and managers’ (16.4%) were the three largest occupational groups. Socio-demographic characteristics differed significantly ( p  < 0.001) across all occupational groups. Lifetime prevalence of mood disorders among the employed was 8.4% and the most prevalent physical disorder was chronic pain (18.9%). No significant differences were observed in work productivity loss across the occupational groups. Conclusions The disparities in the socio-demographic characteristics and prevalence of mental and physical disorders across occupational categories provide policymakers with vital information to pilot effective interventions that can improve the psychosocial and physical conditions at work.