title: The association between social position and self-rated health in 10 deprived neighbourhoods.
abstract: BACKGROUND
  A number of studies have shown that poor self-rated health is more prevalent among people in poor, socially disadvantaged positions. The aim of the present study was to investigate the association between self-rated health and social position in 10 deprived neighbourhoods.
  
  
  METHODS
  A stratified random sample of 7,934 households was selected. Of these, 641 were excluded from the study because the residents had moved, died, or were otherwise unavailable. Of the net sample of 7,293 individuals, 1,464 refused to participate, 885 were not at home, and 373 did not participate for other reasons, resulting in an average response rate of 62.7%. Multiple logistic regression models were used to estimate the associations between the number of life resources and the odds of self-rated health and also between the type of neighbourhood and the odds of self-rated health.
  
  
  RESULTS
  The analysis shows that the number of life resources is significantly associated with having poor/very poor self-rated health for both genders. The results clearly suggest that the more life resources that an individual has, the lower the risk is of that individual reporting poor/very poor health.
  
  
  CONCLUSIONS
  The results show a strong association between residents' number of life resources and their self-rated health. In particular, residents in deprived rural neighbourhoods have much better self-rated health than do residents in deprived urban neighbourhoods, but further studies are needed to explain these urban/rural differences and to determine how they influence health.
authors.affiliation: Department of Health Science and Technology, Unit of Epidemiology and Public Health, Niels Jernes Vej 14, 9220, Aalborg, Denmark. ckb@hst.aau.dk.
authors.forename: Carsten Kronborg
authors.initials: CK
authors.lastname: Bak
authors.affiliation: Unit of Health Promotion, Department of Public Health, University of Southern Denmark, Niels Bohrs Vej 9, 6700, Esbjerg, Denmark. ptandersen@health.sdu.dk.
authors.forename: Pernille Tanggaard
authors.initials: PT
authors.lastname: Andersen
authors.affiliation: Unit of Epidemiologym Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløwsvej 9B, 5000, Odense, Denmark. udokkedal@health.sdu.dk.
authors.forename: Unni
authors.initials: U
authors.lastname: Dokkedal
mesh_terms: D003718:Denmark; D005260:Female; D006304:Health Status; D006801:Humans; D007182:Income / Q000706:statistics & numerical data*; D016015:Logistic Models; D008297:Male; D015999:Multivariate Analysis; D015995:Prevalence; D011788:Quality of Life; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D012424:Rural Population / Q000706:statistics & numerical data; D057566:Self Report; D012923:Social Class; D014505:Urban Population / Q000706:statistics & numerical data; D035862:Vulnerable Populations / Q000706:statistics & numerical data