Inter-relationships between objective and subjective measures of the residential environment among urban African American women

Ann Epidemiol. 2017 Mar;27(3):164-168. doi: 10.1016/j.annepidem.2016.12.003. Epub 2016 Dec 14.

Abstract

Purpose: The inter-relationships between objective (census based) and subjective (resident reported) measures of the residential environment is understudied in African American (AA) populations.

Methods: Using data from the Life Influences on Fetal Environments Study (2009-2011; n = 1387) of AA women, we quantified the area-level variation in subjective reports of residential healthy food availability, walkability, safety, and disorder that can be accounted for with an objective neighborhood disadvantage index (NDI). Two-level generalized linear models estimated associations between objective and subjective measures of the residential environment, accounting for individual-level covariates.

Results: In unconditional models, intraclass correlation coefficients for block-group variance in subjective reports ranged from 11% (healthy food availability) to 30% (safety). Models accounting for the NDI (vs. both NDI and individual-level covariates) accounted for more variance in healthy food availability (23% vs. 8%) and social disorder (40% vs. 38%). The NDI and individual-level variables accounted for 39% and 51% of the area-level variation in walkability and safety, respectively. Associations between subjective and objective measures of the residential environment were significant and in the expected direction.

Conclusions: Future studies on neighborhood effects on health, especially among AAs, should include a wide range of residential environment measures, including subjective, objective, and spatial contextual variables.

Keywords: African Americans; Neighborhood disadvantage; Neighborhood measurement; Objective; Physical and social; Residential environment; Subjective; Urban.

Publication types

  • Comparative Study
  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Black or African American / statistics & numerical data*
  • Female
  • Humans
  • Michigan
  • Middle Aged
  • Residence Characteristics / statistics & numerical data*
  • Social Environment*
  • Socioeconomic Factors
  • Statistics as Topic / methods*
  • Urban Population / statistics & numerical data*