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Can the impact of gender equality on health be measured? a cross-sectional study comparing measures based on register data with individual survey-based data

BACKGROUND: The aim of this study was to investigate potential associations between gender equality at work and self-rated health. METHODS: 2861 employees in 21 companies were invited to participate in a survey. The mean response rate was 49.2%. The questionnaire contained 65 questions, mainly on ge...

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Autores principales: Sörlin, Ann, Öhman, Ann, Ng, Nawi, Lindholm, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3503856/
https://www.ncbi.nlm.nih.gov/pubmed/22985388
http://dx.doi.org/10.1186/1471-2458-12-795
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author Sörlin, Ann
Öhman, Ann
Ng, Nawi
Lindholm, Lars
author_facet Sörlin, Ann
Öhman, Ann
Ng, Nawi
Lindholm, Lars
author_sort Sörlin, Ann
collection PubMed
description BACKGROUND: The aim of this study was to investigate potential associations between gender equality at work and self-rated health. METHODS: 2861 employees in 21 companies were invited to participate in a survey. The mean response rate was 49.2%. The questionnaire contained 65 questions, mainly on gender equality and health. Two logistic regression analyses were conducted to assess associations between (i) self-rated health and a register-based company gender equality index (OGGI), and (ii) self-rated health and self-rated gender equality at work. RESULTS: Even though no association was found between the OGGI and health, women who rated their company as “completely equal” or “quite equal” had higher odds of reporting “good health” compared to women who perceived their company as “not equal” (OR = 2.8, 95% confidence interval = 1.4 – 5.5 and OR = 2.73, 95% CI = 1.6-4.6). Although not statistically significant, we observed the same trends in men. The results were adjusted for age, highest education level, income, full or part-time employment, and type of company based on the OGGI. CONCLUSIONS: No association was found between gender equality in companies, measured by register-based index (OGGI), and health. However, perceived gender equality at work positively affected women’s self-rated health but not men’s. Further investigations are necessary to determine whether the results are fully credible given the contemporary health patterns and positions in the labour market of women and men or whether the results are driven by selection patterns.
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spelling pubmed-35038562012-11-22 Can the impact of gender equality on health be measured? a cross-sectional study comparing measures based on register data with individual survey-based data Sörlin, Ann Öhman, Ann Ng, Nawi Lindholm, Lars BMC Public Health Research Article BACKGROUND: The aim of this study was to investigate potential associations between gender equality at work and self-rated health. METHODS: 2861 employees in 21 companies were invited to participate in a survey. The mean response rate was 49.2%. The questionnaire contained 65 questions, mainly on gender equality and health. Two logistic regression analyses were conducted to assess associations between (i) self-rated health and a register-based company gender equality index (OGGI), and (ii) self-rated health and self-rated gender equality at work. RESULTS: Even though no association was found between the OGGI and health, women who rated their company as “completely equal” or “quite equal” had higher odds of reporting “good health” compared to women who perceived their company as “not equal” (OR = 2.8, 95% confidence interval = 1.4 – 5.5 and OR = 2.73, 95% CI = 1.6-4.6). Although not statistically significant, we observed the same trends in men. The results were adjusted for age, highest education level, income, full or part-time employment, and type of company based on the OGGI. CONCLUSIONS: No association was found between gender equality in companies, measured by register-based index (OGGI), and health. However, perceived gender equality at work positively affected women’s self-rated health but not men’s. Further investigations are necessary to determine whether the results are fully credible given the contemporary health patterns and positions in the labour market of women and men or whether the results are driven by selection patterns. BioMed Central 2012-09-17 /pmc/articles/PMC3503856/ /pubmed/22985388 http://dx.doi.org/10.1186/1471-2458-12-795 Text en Copyright ©2012 Sörlin et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Sörlin, Ann
Öhman, Ann
Ng, Nawi
Lindholm, Lars
Can the impact of gender equality on health be measured? a cross-sectional study comparing measures based on register data with individual survey-based data
title Can the impact of gender equality on health be measured? a cross-sectional study comparing measures based on register data with individual survey-based data
title_full Can the impact of gender equality on health be measured? a cross-sectional study comparing measures based on register data with individual survey-based data
title_fullStr Can the impact of gender equality on health be measured? a cross-sectional study comparing measures based on register data with individual survey-based data
title_full_unstemmed Can the impact of gender equality on health be measured? a cross-sectional study comparing measures based on register data with individual survey-based data
title_short Can the impact of gender equality on health be measured? a cross-sectional study comparing measures based on register data with individual survey-based data
title_sort can the impact of gender equality on health be measured? a cross-sectional study comparing measures based on register data with individual survey-based data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3503856/
https://www.ncbi.nlm.nih.gov/pubmed/22985388
http://dx.doi.org/10.1186/1471-2458-12-795
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