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Gender Differences in the Quality of Life of Formal Workers

Background: This study aimed to assess the quality of life associated with gender inequalities in formal workers and to determine the effect of sociodemographic, clinical, and behavioral factors on the quality of life (QOL). Methods: This cross-sectional study involved 1270 workers. Quality of life...

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Autores principales: Louzado, José Andrade, Lopes Cortes, Matheus, Galvão Oliveira, Marcio, Moraes Bezerra, Vanessa, Mistro, Sóstenes, Souto de Medeiros, Danielle, Arruda Soares, Daniela, Oliveira Silva, Kelle, Nicolaevna Kochergin, Clávdia, Honorato dos Santos de Carvalho, Vivian Carla, Wildes Amorim, Welma, Serrate Mengue, Sotero
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199320/
https://www.ncbi.nlm.nih.gov/pubmed/34206069
http://dx.doi.org/10.3390/ijerph18115951
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author Louzado, José Andrade
Lopes Cortes, Matheus
Galvão Oliveira, Marcio
Moraes Bezerra, Vanessa
Mistro, Sóstenes
Souto de Medeiros, Danielle
Arruda Soares, Daniela
Oliveira Silva, Kelle
Nicolaevna Kochergin, Clávdia
Honorato dos Santos de Carvalho, Vivian Carla
Wildes Amorim, Welma
Serrate Mengue, Sotero
author_facet Louzado, José Andrade
Lopes Cortes, Matheus
Galvão Oliveira, Marcio
Moraes Bezerra, Vanessa
Mistro, Sóstenes
Souto de Medeiros, Danielle
Arruda Soares, Daniela
Oliveira Silva, Kelle
Nicolaevna Kochergin, Clávdia
Honorato dos Santos de Carvalho, Vivian Carla
Wildes Amorim, Welma
Serrate Mengue, Sotero
author_sort Louzado, José Andrade
collection PubMed
description Background: This study aimed to assess the quality of life associated with gender inequalities in formal workers and to determine the effect of sociodemographic, clinical, and behavioral factors on the quality of life (QOL). Methods: This cross-sectional study involved 1270 workers. Quality of life was measured using the EUROHIS-QOL 8-Item and assessed in terms of psychological, environmental, social, and physical domains, while demographic, socioeconomic, behavioral, and clinical variables served as explanatory variables. Analyses were performed using an ordinal logistic regression model whose significance level was 5%. Results: Of the participants, 80.2% were men, and 19.8% were women; the mean age was 34 (standard deviation: ±10) and 32 (±9) years, respectively. In all prediction scenarios, men were more likely to have a higher quality of life, especially in the physical (odds ratio: 2.16; 95% confidence interval: 1.60–2.93) and psychological (odds ratio: 2.09; 95% confidence interval: 1.51–2.91) domains. Conclusions: Men and women had significantly different levels of quality of life, and sociodemographic, clinical, and behavioral variables partially clarified these differences, which were possibly established by a socio-historical process of construction of the work role determined by gender issues.
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spelling pubmed-81993202021-06-14 Gender Differences in the Quality of Life of Formal Workers Louzado, José Andrade Lopes Cortes, Matheus Galvão Oliveira, Marcio Moraes Bezerra, Vanessa Mistro, Sóstenes Souto de Medeiros, Danielle Arruda Soares, Daniela Oliveira Silva, Kelle Nicolaevna Kochergin, Clávdia Honorato dos Santos de Carvalho, Vivian Carla Wildes Amorim, Welma Serrate Mengue, Sotero Int J Environ Res Public Health Article Background: This study aimed to assess the quality of life associated with gender inequalities in formal workers and to determine the effect of sociodemographic, clinical, and behavioral factors on the quality of life (QOL). Methods: This cross-sectional study involved 1270 workers. Quality of life was measured using the EUROHIS-QOL 8-Item and assessed in terms of psychological, environmental, social, and physical domains, while demographic, socioeconomic, behavioral, and clinical variables served as explanatory variables. Analyses were performed using an ordinal logistic regression model whose significance level was 5%. Results: Of the participants, 80.2% were men, and 19.8% were women; the mean age was 34 (standard deviation: ±10) and 32 (±9) years, respectively. In all prediction scenarios, men were more likely to have a higher quality of life, especially in the physical (odds ratio: 2.16; 95% confidence interval: 1.60–2.93) and psychological (odds ratio: 2.09; 95% confidence interval: 1.51–2.91) domains. Conclusions: Men and women had significantly different levels of quality of life, and sociodemographic, clinical, and behavioral variables partially clarified these differences, which were possibly established by a socio-historical process of construction of the work role determined by gender issues. MDPI 2021-06-01 /pmc/articles/PMC8199320/ /pubmed/34206069 http://dx.doi.org/10.3390/ijerph18115951 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Louzado, José Andrade
Lopes Cortes, Matheus
Galvão Oliveira, Marcio
Moraes Bezerra, Vanessa
Mistro, Sóstenes
Souto de Medeiros, Danielle
Arruda Soares, Daniela
Oliveira Silva, Kelle
Nicolaevna Kochergin, Clávdia
Honorato dos Santos de Carvalho, Vivian Carla
Wildes Amorim, Welma
Serrate Mengue, Sotero
Gender Differences in the Quality of Life of Formal Workers
title Gender Differences in the Quality of Life of Formal Workers
title_full Gender Differences in the Quality of Life of Formal Workers
title_fullStr Gender Differences in the Quality of Life of Formal Workers
title_full_unstemmed Gender Differences in the Quality of Life of Formal Workers
title_short Gender Differences in the Quality of Life of Formal Workers
title_sort gender differences in the quality of life of formal workers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199320/
https://www.ncbi.nlm.nih.gov/pubmed/34206069
http://dx.doi.org/10.3390/ijerph18115951
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