title: Residential property values predict prevalent obesity but do not predict 1-year weight change.
abstract: OBJECTIVE
  Lower socio economic status (SES) has been linked with higher obesity rates but not with weight gain. This study examined whether SES can predict short-term weight change.
  
  
  METHODS
  The Seattle Obesity Study II was based on an observational cohort of 440 adults. Weights and heights were measured at baseline and at 1 year. Self-reported education and incomes were obtained by questionnaire. Home addresses were linked to tax parcel property values from the King County, Washington, tax assessor. Associations among SES variables, prevalent obesity, and 1-year weight change were examined using multivariable linear regressions.
  
  
  RESULTS
  Low residential property values at the tax parcel level predicted prevalent obesity at baseline and at 1 year. Living in the top quartile of house prices reduced obesity risk by 80% at both time points. At 1 year, about 38% of the sample lost >1 kg body weight; 32% maintained (± 1 kg); and 30% gained >1 kg. In adjusted models, none of the baseline SES measures had any impact on 1-year weight change.
  
  
  CONCLUSIONS
  SES variables, including tax parcel property values, predicted prevalent obesity but did not predict short-term weight change. These findings, based on longitudinal cohort data, suggest other mechanisms are involved in short-term weight change.
authors: Center for Public Health Nutrition, University of Washington, Seattle, Washington, USA.
authors: Adam
authors: A
authors: Drewnowski
authors: Anju
authors: A
authors: Aggarwal
authors: Wesley
authors: W
authors: Tang
authors: Anne Vernez
authors: AV
authors: Moudon
mesh_terms: D000328:Adult; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007182:Income / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000191:economics / Q000453:epidemiology*; D015995:Prevalence; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D012923:Social Class; D012924:Social Conditions / Q000191:economics / Q000706:statistics & numerical data; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D014861:Washington / Q000453:epidemiology; D015430:Weight Gain / Q000502:physiology; D055815:Young Adult