title: Can housing improvements cure or prevent the onset of health conditions over time in deprived areas?
abstract: BACKGROUND
  There is a need for more evidence linking particular housing improvements to changes in specific health conditions. Research often looks at generic works over short periods.
  
  
  METHODS
  We use a longitudinal sample (n = 1933) with a survey interval of 2-5 years. Multivariate logistic regression is used to calculate the odds ratios of developing or recovering from six health conditions according to receipt of four types of housing improvements.
  
  
  RESULTS
  Receipt of fabric works was associated with higher likelihood of recovery from mental health problems and circulatory conditions. Receipt of central heating was also associated with higher likelihood of recovery form circulatory conditions. No evidence was found for the preventative effects of housing improvements.
  
  
  CONCLUSIONS
  Health gain from housing improvements appears most likely when targeted at those in greatest health need. The health impacts of area-wide, non-targeted housing improvements are less clear in our study.
authors.affiliation: Urban Studies, University of Glasgow, 25 Bute Gardens, Glasgow, G12 8RS, UK. angela.curl@glasgow.ac.uk.
authors.forename: Angela
authors.initials: A
authors.lastname: Curl
authors.affiliation: Urban Studies, University of Glasgow, 25 Bute Gardens, Glasgow, G12 8RS, UK. ade.kearns@glasgow.ac.uk.
authors.forename: Ade
authors.initials: A
authors.lastname: Kearns
mesh_terms: D000328:Adult; D000368:Aged; D005260:Female; D006306:Health Surveys / Q000379:methods / Q000706:statistics & numerical data*; D006361:Heating; D006798:Housing / Q000592:standards* / Q000706:statistics & numerical data; D006801:Humans; D016015:Logistic Models; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D016017:Odds Ratio; D063868:Patient Outcome Assessment; D058996:Quality Improvement / Q000706:statistics & numerical data*; D035862:Vulnerable Populations / Q000706:statistics & numerical data*