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Gendered Working Environments as a Determinant of Mental Health Inequalities: A Protocol for a Systematic Review

Both gender and employment are critical and intersecting social determinants of mental and physical health. This paper describes the protocol used to conduct a systematic literature review of the relationship between “gendered working environments” and mental health. Gendered working environments (G...

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Autores principales: Milner, Allison, Scovelle, Anna J., King, Tania L., Marck, Claudia H., McAllister, Ashley, Kavanagh, Anne M., Shields, Marissa, Török, Eszter, O’Neil, Adrienne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479308/
https://www.ncbi.nlm.nih.gov/pubmed/30939787
http://dx.doi.org/10.3390/ijerph16071169
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author Milner, Allison
Scovelle, Anna J.
King, Tania L.
Marck, Claudia H.
McAllister, Ashley
Kavanagh, Anne M.
Shields, Marissa
Török, Eszter
O’Neil, Adrienne
author_facet Milner, Allison
Scovelle, Anna J.
King, Tania L.
Marck, Claudia H.
McAllister, Ashley
Kavanagh, Anne M.
Shields, Marissa
Török, Eszter
O’Neil, Adrienne
author_sort Milner, Allison
collection PubMed
description Both gender and employment are critical and intersecting social determinants of mental and physical health. This paper describes the protocol used to conduct a systematic literature review of the relationship between “gendered working environments” and mental health. Gendered working environments (GWE) are conceptualised as involving: (1) differences in selection into work, and more specifically, occupations; (2) variation in employment arrangements and working hours; (3) disparities in psychosocial exposures at work, and; (4) differences in selection out of work. Methods/design: The review will adhere to a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) search procedure. Key words will be identified that are specific to each of the four domains of GWE. The databases used for the search will be Scopus, Pubmed, Proquest, and Web of Science. Keywords will be adapted for the specific requirements of each electronic database. Inclusion criteria are: Using a validated scale to measure mental health (outcome); including exposures related to the four domains of GWE; reporting estimates for both men and women; and use of a cohort, case-control, or cross-sectional design. Studies will be excluded if they were published more than 10 years ago, are not in English or do not present extractable data on the relationship between GWE and mental health. Discussion: The proposed review will provide evidence about the numerous and complex ways in which employment and gender intersect (and are reinforced) to influence mental health over the life course.
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spelling pubmed-64793082019-04-29 Gendered Working Environments as a Determinant of Mental Health Inequalities: A Protocol for a Systematic Review Milner, Allison Scovelle, Anna J. King, Tania L. Marck, Claudia H. McAllister, Ashley Kavanagh, Anne M. Shields, Marissa Török, Eszter O’Neil, Adrienne Int J Environ Res Public Health Protocol Both gender and employment are critical and intersecting social determinants of mental and physical health. This paper describes the protocol used to conduct a systematic literature review of the relationship between “gendered working environments” and mental health. Gendered working environments (GWE) are conceptualised as involving: (1) differences in selection into work, and more specifically, occupations; (2) variation in employment arrangements and working hours; (3) disparities in psychosocial exposures at work, and; (4) differences in selection out of work. Methods/design: The review will adhere to a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) search procedure. Key words will be identified that are specific to each of the four domains of GWE. The databases used for the search will be Scopus, Pubmed, Proquest, and Web of Science. Keywords will be adapted for the specific requirements of each electronic database. Inclusion criteria are: Using a validated scale to measure mental health (outcome); including exposures related to the four domains of GWE; reporting estimates for both men and women; and use of a cohort, case-control, or cross-sectional design. Studies will be excluded if they were published more than 10 years ago, are not in English or do not present extractable data on the relationship between GWE and mental health. Discussion: The proposed review will provide evidence about the numerous and complex ways in which employment and gender intersect (and are reinforced) to influence mental health over the life course. MDPI 2019-04-01 2019-04 /pmc/articles/PMC6479308/ /pubmed/30939787 http://dx.doi.org/10.3390/ijerph16071169 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Protocol
Milner, Allison
Scovelle, Anna J.
King, Tania L.
Marck, Claudia H.
McAllister, Ashley
Kavanagh, Anne M.
Shields, Marissa
Török, Eszter
O’Neil, Adrienne
Gendered Working Environments as a Determinant of Mental Health Inequalities: A Protocol for a Systematic Review
title Gendered Working Environments as a Determinant of Mental Health Inequalities: A Protocol for a Systematic Review
title_full Gendered Working Environments as a Determinant of Mental Health Inequalities: A Protocol for a Systematic Review
title_fullStr Gendered Working Environments as a Determinant of Mental Health Inequalities: A Protocol for a Systematic Review
title_full_unstemmed Gendered Working Environments as a Determinant of Mental Health Inequalities: A Protocol for a Systematic Review
title_short Gendered Working Environments as a Determinant of Mental Health Inequalities: A Protocol for a Systematic Review
title_sort gendered working environments as a determinant of mental health inequalities: a protocol for a systematic review
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479308/
https://www.ncbi.nlm.nih.gov/pubmed/30939787
http://dx.doi.org/10.3390/ijerph16071169
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