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Occupational groups and its physical and mental health correlates: results from the Singapore Mental Health Study 2016
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 b...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938346/ https://www.ncbi.nlm.nih.gov/pubmed/34302531 http://dx.doi.org/10.1007/s00420-021-01741-8 |
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author | Sambasivam, Rajeswari Jeyagurunathan, Anitha Abdin, Edimansyah Shafie, Saleha Chang, Sherilyn Vaingankar, Janhavi Ajit Chong, Siow Ann Subramaniam, Mythily |
author_facet | Sambasivam, Rajeswari Jeyagurunathan, Anitha Abdin, Edimansyah Shafie, Saleha Chang, Sherilyn Vaingankar, Janhavi Ajit Chong, Siow Ann Subramaniam, Mythily |
author_sort | Sambasivam, Rajeswari |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8938346 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-89383462022-04-07 Occupational groups and its physical and mental health correlates: results from the Singapore Mental Health Study 2016 Sambasivam, Rajeswari Jeyagurunathan, Anitha Abdin, Edimansyah Shafie, Saleha Chang, Sherilyn Vaingankar, Janhavi Ajit Chong, Siow Ann Subramaniam, Mythily Int Arch Occup Environ Health Original Article 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. Springer Berlin Heidelberg 2021-07-24 2022 /pmc/articles/PMC8938346/ /pubmed/34302531 http://dx.doi.org/10.1007/s00420-021-01741-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Sambasivam, Rajeswari Jeyagurunathan, Anitha Abdin, Edimansyah Shafie, Saleha Chang, Sherilyn Vaingankar, Janhavi Ajit Chong, Siow Ann Subramaniam, Mythily Occupational groups and its physical and mental health correlates: results from the Singapore Mental Health Study 2016 |
title | Occupational groups and its physical and mental health correlates: results from the Singapore Mental Health Study 2016 |
title_full | Occupational groups and its physical and mental health correlates: results from the Singapore Mental Health Study 2016 |
title_fullStr | Occupational groups and its physical and mental health correlates: results from the Singapore Mental Health Study 2016 |
title_full_unstemmed | Occupational groups and its physical and mental health correlates: results from the Singapore Mental Health Study 2016 |
title_short | Occupational groups and its physical and mental health correlates: results from the Singapore Mental Health Study 2016 |
title_sort | occupational groups and its physical and mental health correlates: results from the singapore mental health study 2016 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938346/ https://www.ncbi.nlm.nih.gov/pubmed/34302531 http://dx.doi.org/10.1007/s00420-021-01741-8 |
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