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Quality of Life and Associated Factors in Young Workers

Author

Listed:
  • José Andrade Louzado

    (Multidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil)

  • Matheus Lopes Cortes

    (Multidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil)

  • Márcio Galvão Oliveira

    (Multidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil)

  • Vanessa Moraes Bezerra

    (Multidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil)

  • Sóstenes Mistro

    (Multidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil)

  • Danielle Souto de Medeiros

    (Multidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil)

  • Daniela Arruda Soares

    (Multidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil)

  • Kelle Oliveira Silva

    (Multidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil)

  • Clávdia Nicolaevna Kochergin

    (Multidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil)

  • Vivian Carla Honorato dos Santos de Carvalho

    (Multidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil)

  • Welma Wildes Amorim

    (Department of Natural Sciences, State University of Southwestern Bahia, Vitória da Conquista 45083900, Bahia, Brazil)

  • Sotero Serrate Mengue

    (Graduate Program in Epidemiology, School of Medicine, Federal University of Rio Grande do Sul, Porto Alegre 90035003, Rio Grande do Sul, Brazil)

Abstract

Background: This study aimed to identify the factors associated with the quality of life of young workers of a Social Work of Industry Unit. Methods: This was a cross-sectional study conducted on 1270 workers. Data were collected using a digital questionnaire built on the KoBoToolbox platform that included the EUROHIS-QOL eight-item index to assess quality of life. Demographic, socioeconomic, behavioral, and clinical variables were considered explanatory. The associations were analyzed using the ordinal logistic regression model at a 5% significance level. Results: Men and women had a mean quality of life of 31.1 and 29.4, respectively. Workers that rated their health as “very good” had an odds ratio of 7.4 (95% confidence interval (CI) = 5.17–10.81), and those who rated it as “good” had an odds ratio of 2.9 (95% CI = 2.31–3.77). Both these groups of workers were more likely to have higher levels of quality of life as compared to workers with “regular”, “poor”, or “very poor” self-rated health. Physically active individuals were 30% more likely to have higher levels of quality of life (odds ratio = 1.3; 95% CI = 1.08–1.65). After adjusting the model by gender, age group, marital status, socioeconomic class, self-rated health, nutritional status, and risky alcohol consumption, the odds ratio of active individuals remained stable (odds ratio = 1.3; 95% CI = 1.05–1.66). Conclusions: In the present study, self-rated health, physical activity, and gender were associated with young workers’ quality of life.

Suggested Citation

  • José Andrade Louzado & Matheus Lopes Cortes & Márcio Galvão Oliveira & Vanessa Moraes Bezerra & Sóstenes Mistro & Danielle Souto de Medeiros & Daniela Arruda Soares & Kelle Oliveira Silva & Clávdia Ni, 2021. "Quality of Life and Associated Factors in Young Workers," IJERPH, MDPI, vol. 18(4), pages 1-13, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:2153-:d:504032
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    References listed on IDEAS

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    1. repec:aph:ajpbhl:10.2105/ajph.2017.303840_1 is not listed on IDEAS
    2. Shockey, T.M. & Zack, M. & Sussell, A., 2017. "Health-related quality of life among US workers: Variability across occupation groups," American Journal of Public Health, American Public Health Association, vol. 107(8), pages 1316-1323.
    3. Gera E. Nagelhout & Latifa Abidi & Hein de Vries, 2019. "How Do Health and Social Networks Compare between Low-Income Multiproblem Households and the General Population?," IJERPH, MDPI, vol. 16(24), pages 1-7, December.
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