title: Health factors in the everyday life and work of public sector employees in Sweden.
abstract: OBJECTIVE
  The aim was to explore aspects of everyday life in addition to established risk factors and their relationship to subjective health and well-being among public sector employees in Sweden. Gainful employment impact on employees' health and well-being, but work is only one part of everyday life and a broader perspective is essential in order to identify health-related factors.
  
  
  METHODS
  Data were obtained from employees at six Social Insurance Offices in Sweden, 250 women and 50 men.
  
  
  METHODS
  A questionnaire based on established instruments and questions specifically designed for this study was used. Relationships between five factors of everyday life, subjective health and well-being were investigated by means of multivariate logistic regression analysis.
  
  
  RESULTS
  The final model revealed a limited importance of certain work-related factors. A general satisfaction with everyday activities, a stress-free environment and general control in addition to not having monotonous movements at work were found to be factors explaining 46.3% of subjective good health and well-being.
  
  
  CONCLUSIONS
  A person's entire activity pattern, including work, is important, and strategies for promoting health should take into account the person's situation as a whole. The interplay between risk and health factors is not clear and further research is warranted.
authors.affiliation: Department of Health Sciences, Lund University, Lund, Sweden. Lena-Karin.Erlandsson@med.lu.se
authors.forename: Lena-Karin
authors.initials: LK
authors.lastname: Erlandsson
authors.forename: Gunilla
authors.initials: G
authors.lastname: Carlsson
authors.forename: Vibeke
authors.initials: V
authors.lastname: Horstmann
authors.forename: Gunvor
authors.initials: G
authors.lastname: Gard
authors.forename: Eva
authors.initials: E
authors.lastname: Holmström
mesh_terms: D000203:Activities of Daily Living / Q000523:psychology*; D000328:Adult; D000368:Aged; D003430:Cross-Sectional Studies; D005260:Female; D007722:Health Knowledge, Attitudes, Practice; D006304:Health Status; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D016272:Occupational Health / Q000706:statistics & numerical data*; D010549:Personal Satisfaction; D017150:Public Sector; D012044:Regression Analysis; D012307:Risk Factors; D012890:Sleep / Q000502:physiology; D012907:Smoking / Q000453:epidemiology / Q000523:psychology; D012923:Social Class; D013315:Stress, Psychological / Q000517:prevention & control / Q000523:psychology; D011795:Surveys and Questionnaires; D013548:Sweden / Q000453:epidemiology; D013647:Task Performance and Analysis; D014195:Travel / Q000523:psychology / Q000706:statistics & numerical data; D014940:Work Schedule Tolerance / Q000523:psychology; D000078329:Workforce; D016526:Workload / Q000523:psychology* / Q000706:statistics & numerical data