title: Employees' negative and positive work-home interaction and their association with depressive symptoms.
abstract: BACKGROUND
  Depression is the leading cause of disability and high costs worldwide. One possibility for preventing depression in the workplace, which has received little consideration so far, is the promotion of a successful balance between work and personal life. The aim of this study was to investigate employees' negative and positive work-home interaction and their association with depressive symptoms.
  
  
  METHODS
  A cross-sectional study was conducted in the micro- and nanotechnology sector in Germany. A stepwise multivariate logistic regression analysis was performed using data from N = 213 employees.
  
  
  RESULTS
  The results suggest that while negative work-home interaction is associated with an increased risk for depressive symptoms, positive work-home interaction is correlated with a lower risk. Neither positive nor negative interaction in the home-to-work direction demonstrated a significant association with depressive symptoms.
  
  
  CONCLUSIONS
  When attempting to prevent mental illnesses, such as depression, it is important to develop strategies aimed at reducing conflict between work and personal life and promoting a positive exchange between these two domains.
authors.affiliation: Institute for Medical Sociology, Health Services Research and Rehabilitation Science, Faculty of Human Sciences and Medical Faculty, University of Cologne, Cologne, Germany. Anika.Nitzsche@uk-koeln.de
authors.forename: Anika
authors.initials: A
authors.lastname: Nitzsche
authors.forename: Julia
authors.initials: J
authors.lastname: Jung
authors.forename: Holger
authors.initials: H
authors.lastname: Pfaff
authors.forename: Elke
authors.initials: E
authors.lastname: Driller
mesh_terms: D000328:Adult; D001290:Attitude; D003430:Cross-Sectional Studies; D003863:Depression / Q000453:epidemiology*; D005260:Female; D005858:Germany; D006801:Humans; D008019:Life Style; D016015:Logistic Models; D008297:Male; D055616:Microtechnology; D008875:Middle Aged; D036103:Nanotechnology; D016272:Occupational Health; D012044:Regression Analysis