Selected article for: "gender effect and logistic regression"

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
Title: Gender Differences in the Quality of Life of Formal Workers
  • Cord-id: 92eao5gz
  • Document date: 2021_6_1
  • ID: 92eao5gz
    Snippet: 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 serv
    Document: 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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