Neighborhood socioeconomic deprivation and mortality: NIH-AARP diet and health study

PLoS One. 2010 Nov 23;5(11):e15538. doi: 10.1371/journal.pone.0015538.

Abstract

Purpose: Residing in deprived areas may increase risk of mortality beyond that explained by a person's own SES-related factors and lifestyle. The aim of this study was to examine the relation between neighborhood socioeconomic deprivation and all-cause, cancer- and cardiovascular disease (CVD)-specific mortality for men and women after accounting for education and other important person-level risk factors.

Methods: In the longitudinal NIH-AARP Study, we analyzed data from healthy participants, ages 50-71 years at study baseline (1995-1996). Deaths (n = 33831) were identified through December 2005. Information on census tracts was obtained from the 2000 US Census. Cox models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for quintiles of neighborhood deprivation.

Results: Participants in the highest quintile of deprivation had elevated risks for overall mortality (HR(men) = 1.17, 95% CI: 1.10, 1.24; HR(women) = 1.13, 95% CI: 1.05, 1.22) and marginally increased risk for cancer deaths (HR(men) = 1.09, 95% CI: 1.00, 1.20; HR(women) = 1.09, 95% CI: 0.99, 1.22). CVD mortality associations appeared stronger in men (HR = 1.33, 95% CI: 1.19, 1.49) than women (HR = 1.18, 95% CI: 1.01, 1.38). There was no evidence of an effect modification by education.

Conclusion: Higher neighborhood deprivation was associated with modest increases in all-cause, cancer- and CVD-mortality after accounting for many established risk factors.

Publication types

  • Research Support, N.I.H., Intramural

MeSH terms

  • Aged
  • Cardiovascular Diseases / mortality*
  • Educational Status
  • Female
  • Health Status
  • Humans
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Mortality / trends*
  • Multivariate Analysis
  • National Institutes of Health (U.S.)
  • Neoplasms / mortality*
  • Nutrition Assessment
  • Principal Component Analysis
  • Proportional Hazards Models
  • Residence Characteristics*
  • Risk Assessment / statistics & numerical data
  • Risk Factors
  • Social Class
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • United States / epidemiology