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

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 Nursi...

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Detalles Bibliográficos
Autores principales: Merces, Magno Conceição das, Coelho, Julita Maria Freitas, Lua, Iracema, Silva, Douglas de Souza e, Gomes, Antonio Marcos Tosoli, Erdmann, Alacoque Lorenzini, de Oliveira, Denize Cristina, Lago, Sueli Bonfim, Santana, Amália Ivine Costa, da Silva, Dandara Almeida Reis, Servo, Maria Lúcia Silva, Sobrinho, Carlito Lopes Nascimento, Marques, Sergio Corrêa, Figueiredo, Virgínia Paiva, Peres, Ellen Marcia, de Souza, Marcio Costa, França, Luiz Carlos Moraes, Maciel, Deborah Monize Carmo, Peixoto, Álvaro Rafael Santana, Couto, Pablo Luiz Santos, Maia, Marília de Souza, Marinho, Márcia Cristina Graça, França, Silvana Lima Guimarães, Guimarães, Claudia Franco, Santos, Klaus Araujo, Barreto, Fábio Lisboa, Castro, Janaína de Oliveira, Santos, Milene Pereira de Souza, Coutinho, Milena Oliveira, Passos, Kleyton Góes, Tosta Maciel, Roberto Rodrigues Bandeira, Camelier, Fernanda Warken Rosa, Júnior, Argemiro D’Oliveira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014013/
https://www.ncbi.nlm.nih.gov/pubmed/31940749
http://dx.doi.org/10.3390/ijerph17020474
Descripción
Sumario: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.

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