title: Predictors of burnout among nurses: an interactionist approach.
abstract: BACKGROUND
  Nurses' practice involves working in complex organizational settings and facing multiple stressors over time that can lead to burnout. This study aimed to identify predictors of burnout among nurses working in hospitals.
  
  
  METHODS
  A sample of 1,157 participants from four hospitals in the city of Porto (Portugal) was investigated (78% women, mean age = 34.7 years) using socio-demographic and work variable questionnaires, the Maslach Burnout Inventory (MBI-HSS), Personal Views Survey (PVS), Job Satisfaction Scale (S20/23), and Survey Work-Home Interaction - NijmeGen (SWING).
  
  
  RESULTS
  Multiple linear hierarchical regression analyses (stepwise method) showed that gender, age, years of experience at work, working in more than one institution, being involved in management positions, job satisfaction, hardiness, and experience of work-home and home-work interaction, seem to be predictors of burnout among nurses.
  
  
  CONCLUSIONS
  This study adds support to the interactionist approach to burnout. In other words, it is crucial to investigate the relationship between several factors such as socio-demographic, work, and personality factors to understand burnout. Additionally, these findings should be taken into account when designing burnout prevention programs for nurses working in hospitals.
authors.affiliation: Faculdade de Psicologia e de Ciências da Educação, Universidade do Porto, Porto, Portugal. cqueiros@fpce.up.pt
authors.forename: Cristina
authors.initials: C
authors.lastname: Queiros
authors.forename: Mary Sandra
authors.initials: MS
authors.lastname: Carlotto
authors.forename: Mariana
authors.initials: M
authors.lastname: Kaiseler
authors.forename: Sofia
authors.initials: S
authors.lastname: Dias
authors.forename: Ana Mónica
authors.initials: AM
authors.lastname: Pereira
mesh_terms: D000328:Adult; D002055:Burnout, Professional / Q000453:epidemiology*; D003430:Cross-Sectional Studies; D005260:Female; D005544:Forecasting; D006801:Humans; D007588:Job Satisfaction; D008297:Male; D009729:Nursing; D009741:Nursing Staff, Hospital; D012307:Risk Factors