4
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Occupational stressors and work accidents among health workers.

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          To test the association between occupational stressors and work accidents due to exposure to biological material (ATbio) in health workers, considering the isolated and combined analysis of the dimensions of two models, the demand-control model (DCM) and the effort-reward imbalance model (ERI).

          Related collections

          Most cited references52

          • Record: found
          • Abstract: not found
          • Article: not found

          Job Demands, Job Decision Latitude, and Mental Strain: Implications for Job Redesign

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Job strain, work place social support, and cardiovascular disease: a cross-sectional study of a random sample of the Swedish working population.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Extension of the modified Poisson regression model to prospective studies with correlated binary data.

              The Poisson regression model using a sandwich variance estimator has become a viable alternative to the logistic regression model for the analysis of prospective studies with independent binary outcomes. The primary advantage of this approach is that it readily provides covariate-adjusted risk ratios and associated standard errors. In this article, the model is extended to studies with correlated binary outcomes as arise in longitudinal or cluster randomization studies. The key step involves a cluster-level grouping strategy for the computation of the middle term in the sandwich estimator. For a single binary exposure variable without covariate adjustment, this approach results in risk ratio estimates and standard errors that are identical to those found in the survey sampling literature. Simulation results suggest that it is reliable for studies with correlated binary data, provided the total number of clusters is at least 50. Data from observational and cluster randomized studies are used to illustrate the methods.
                Bookmark

                Author and article information

                Journal
                Rev Saude Publica
                Revista de saude publica
                Universidade de Sao Paulo, Agencia USP de Gestao da Informacao Academica (AGUIA)
                1518-8787
                0034-8910
                2021
                : 55
                Affiliations
                [1 ] Universidade Federal da Bahia. Instituto de Saúde Coletiva. Programa de Pós-Graduação em Saúde Coletiva. Salvador, BA, Brasil.
                [2 ] Universidade Federal da Bahia. Faculdade de Medicina da Bahia. Programa de Pós-Graduação em Saúde, Ambiente e Trabalho. Salvador, BA, Brasil.
                [3 ] Universidade Estadual de Feira de Santana. Departamento de Saúde. Feira de Santana, BA, Brasil.
                [4 ] Universidade Estadual de Feira de Santana. Programa de Pós-Graduação em Saúde Coletiva. Feira de Santana, BA, Brasil.
                Article
                S0034-89102021000100291
                10.11606/s1518-8787.2021055002938
                8664054
                34932707
                808dc093-54e5-436d-8532-3d410eb6e73c
                History

                Comments

                Comment on this article