title: [Validation of the Personal Wellbeing Index (PWI) in vulnerable users of health care services in Santiago, Chile].
abstract: BACKGROUND
  Personal well-being calculates quality of life in terms of the necessary conditions required to live well.
  
  
  OBJECTIVE
  To validate the Personal Wellbeing Index (PWI) in a representative sample of vulnerable users of the public health system in Santiago, Chile.
  
  
  METHODS
  A probabilistic and multistage sample consisting of 400 individuals aged 44 ± 18 years (61% females) belonging to the lower income group of the National Health Fund (FONASA), residents of Gran Santiago was surveyed. Internal consistency and correlation between items and scale were examined. Structure was analyzed through confirmatory factor analysis.
  
  
  RESULTS
  The seven-item PWI is a good indicator of subjective well-being in the population under study, considering internal consistency, factor loadings, relation with overall life satisfaction and goodness of fit. The indicators mostly associated with personal well-being are the socioeconomic level followed by relationships with the community, health conditions and achievements.
  
  
  CONCLUSIONS
  The 7-item version of the PWI is suitable for application in vulnerable health service users.
authors.forename: Juan Carlos
authors.initials: JC
authors.lastname: Oyanedel
authors.forename: Salvador
authors.initials: S
authors.lastname: Vargas
authors.forename: Camila
authors.initials: C
authors.lastname: Mella
authors.forename: Darío
authors.initials: D
authors.lastname: Páez
mesh_terms: D000328:Adult; D002677:Chile; D003695:Delivery of Health Care / Q000706:statistics & numerical data*; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D010549:Personal Satisfaction; D011788:Quality of Life; D015203:Reproducibility of Results; D012923:Social Class; D029181:Spirituality; D011795:Surveys and Questionnaires / Q000592:standards; D035862:Vulnerable Populations / Q000706:statistics & numerical data*