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Preditores associados à qualidade de vida no trabalho de docentes da universidade pública

Ana Paula Lopes Pereira, Ludmila Grego Maia, Sérgio Valverde Marques dos Santos, Maria Lúcia do Carmo Cruz Robazzi, Luiz Almeida da Silva

2020Revista de Salud Pública15 citationsDOIOpen Access PDF

Abstract

OBJECTIVE: To analyze the predictive factors associated with the teachers' perception of their Quality of Life at Work at the public university. METHOD: Descriptive-analytical, cross-sectional, quantitative study, conducted with 91 professors from different areas of a public university in southwest Goiás, Brazil. To estimate the predictive factors, Total Quality of Work Life -42 and a socio-demographic and labor characterization questionnaire were used. For statistical analysis, the STATA program was used. RESULTS: The dimensions assessed in the Quality of Life at Work were considered satisfactory, with a better score in the psychological behavioral dimension. In the bivariate analysis of the potential factors associated with the General Quality of Life at Work, significance was found with the academic title (p=0,005), the work-related health problem (p<0,001), the leisure time reserve (p<0,001), satisfaction with physical, psychological and social condition (p<0,001) and age (p=0,024). In the regression analysis, length of service at the institution (p=-0.15; p=0.039), work-related health problems (p=-0.44; p<0.001) were decreasing predictors of good General Quality of Life, while satisfaction with their physical, mental and social condition (p=0.30; p<0.001) and having a PhD degree is shown as an increasing predictor (p=0.20; p=0.046). CONCLUSION: Teachers have a satisfactory assessment of their Quality of Life at Work, however some predictive factors punctuate elements that interfere with QWL and health perception in their work environment.

Topics & Concepts

Bivariate analysisQuality of life (healthcare)PsychologyGerontologyMental healthPublic healthWork (physics)Descriptive statisticsMedicineClinical psychologyNursingStatisticsPsychiatryMathematicsEngineeringMechanical engineeringOccupational Health and BurnoutStress and Burnout ResearchEducation and Work Dynamics