Income inequality and weight status in US metropolitan areas.

  • VW C
  • NA C
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Abstract

Prior empirical studies have demonstrated an association between income inequality and general health endpoints such as mortality and self-rated health, and findings have been taken as support for the hypothesis that inequality is detrimental to individual health. Unhealthy weight statuses may function as an intermediary link between inequality and more general heath endpoints. Using individual-level data from the 1996-98 Behavioral Risk Factor Surveillance System, we examine the relationship between individual weight status and income inequality in US metropolitan areas. Income inequality is calculated with data from the 1990 US Census 5% Public Use Microsample. In analyses stratified by race-sex groups, we do not find a positive association between income inequality and weight outcomes such as body mass index, the odds of being overweight, and the odds of being obese. Among white women, however, we do find a statistically significant inverse association between inequality and each of these weight outcomes, despite adjustments for individual-level covariates, metropolitan-level covariates, and census region. We also find that greater inequality is associated with higher odds for trying to lose weight among white women, even adjusting for current weight status. Although our findings are suggestive of a contextual effect of metropolitan area income inequality, we do not find an increased risk for unhealthy weight outcomes, adding to recent debates surrounding this topic.

Author-supplied keywords

  • Adult
  • Blacks
  • Body Height
  • Body Mass Index
  • Body Weight
  • Confidence Intervals
  • Data Analysis Software
  • Data Analysis, Statistical
  • Descriptive Statistics
  • Female
  • Funding Source
  • Human
  • Income
  • Male
  • Middle Age
  • Obesity -- Epidemiology -- United States
  • Odds Ratio
  • One-Way Analysis of Variance
  • P-Value
  • Race Factors
  • Self Report
  • Sensitivity and Specificity
  • Sex Factors
  • United States
  • Whites

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Authors

  • Chang VW

  • Christakis NA

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