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.
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.
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Keywords:
categories of workers; motor activity; occupational health; quality of life
Authors: Paula Gonçalves Bicalho; Tatiane Géa-Horta; Alexandra Dias Moreira; Andrea Gazzinelli; Gustavo Velasquez-Melendez Journal: Cien Saude Colet Date: 2018-04
Authors: D P Gill; W Blunt; N C Boa Sorte Silva; C Stiller-Moldovan; G Y Zou; R J Petrella Journal: BMC Public Health Date: 2019-06-28 Impact factor: 3.295