ArticleHuman resources for health2017
Long working hours in the healthcare system of the Belo Horizonte municipality, Brazil: a population-based cross-sectional survey.
Article in Human resources for health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Relationship between health and productivity management and health-related attributes in Japanese medical institutions: an ecological study.Environmental and occupational health practice · 2025Article
- Psychosocial ergonomics of the workplace of medical staff during the COVID-19 pandemic in three risk's dimensions: working hours, violence and the use of psychoactive drugs-a prospective pilot study.Frontiers in public health · 2023Article
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3 authors.
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Abstract
backgroundHealth personnel are key players in developing and improving healthcare systems, caring for individuals and their communities, and helping improve quality of life. However, these professionals are often exposed to long working hours because of the pressing need for their services at potentially any time of day. The long working hours they endure are a major risk factor for both acute and chronic health problems. The present study aimed to analyze occurrences of long working hours and their association with individual characteristics and employment factors among workers in the municipal healthcare system in Belo Horizonte, Brazil.
methodsIn this cross-sectional study, a ramdomly selected proportional sample of 1549 participants was analyzed from among the total of 13 602 workers in the Belo Horizonte municipal healthcare system in 2009. "Long" working hours were defined as >44 h/week. A self-administered questionnaire was used for accumulating data. Associations with outcomes were estimated using logistic regression, in univariate and multivariate models.
resultsThe rate of occurrence of long working hours was 31.4% (95% CI 29.1-33.7). Lower educational level (high school, technical, or uncompleted undergraduate [OR 0.60, 95% CI 0.47-0.78 p < 0.001], or elementary [OR 0.33, 95% CI 0.19-0.55 p < 0.001]) was associated with a lower likelihood of self-reporting long working hours in relation to the group with the highest educational level (completed undergraduate or postgraduate). Male sex (OR 1.62, 95% CI 1.26-2.09 p < 0.001), having children (PR 1.54, 95% CI 1.20-1.97 p = 0.001), and being in the healthcare provider group (OR 1.82, 95% CI 1.40-2.35 p < 0.001) were factors associated with greater likelihood of long working hours.
conclusionsIt was observed that number of long weekly working hours was related to individual characteristics and employment factors.
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