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. 2020 Jan 11;17(2):474.
doi: 10.3390/ijerph17020474.

Prevalence and Factors Associated with Burnout Syndrome among Primary Health Care Nursing Professionals: A Cross-Sectional Study

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Prevalence and Factors Associated with Burnout Syndrome among Primary Health Care Nursing Professionals: A Cross-Sectional Study

Magno Conceição das Merces et al. Int J Environ Res Public Health. .

Abstract

The objective of the study was to evaluate the prevalence and factors associated with Burnout Syndrome (BS) in Primary Health Care (PHC) nursing professionals from the state of Bahia, Brazil. A multicentre, cross-sectional population-based study was conducted in a cluster sample among 1125 PHC Nursing professionals during the years 2017 and 2018. We used a questionnaire that included sociodemographic, labor and lifestyle variables and the Maslach Burnout Inventory scale to identify BS. The associations were evaluated using a robust Poisson regression with the hierarchical selection of the independent variables. The prevalence of BS was 18.3% and the associated factors were ethnicity (prevalence ratio (PR) = 0.62, confidence interval (CI) 95% = 0.47-0.83), residence (PR = 2.35, CI 95% = 1.79-3.09), economic situation (PR = 1.40, CI 95% = 1.06-1.86), satisfaction with current occupation (PR = 1.75, CI 95% = 1.31-2.33), (PR = 1.60, CI 95% = 1.23-2.08), rest (PR = 1.83, 95% CI = 1.41-2.37), technical resources and equipment (PR = 1.37, CI 95% = 1.06-1.77), night shift (PR = 1.49, CI 95% = 1.14-1.96), physical activity practice (PR = 1.72; CI 95% = 1.28-2.31), smoking (PR = 1.82, CI 95% = 1.35-2.45), and satisfaction with physical form (PR = 1.34, CI 95% = 1.01-179). Strategies are needed to prevent BS, with an emphasis on implementing worker health programs in the context of PHC.

Keywords: Primary Health Care; burnout; nursing.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Prevalence of Burnout Syndrome in Primary Health Care nursing professionals distributed per mesoregion of Bahia, Brazil, 2018 (n = 1121).

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