Literature DB >> 32151518

Neighborhood-level measures of socioeconomic status are more correlated with individual-level measures in urban areas compared with less urban areas.

Sherrie Xie1, Rebecca A Hubbard1, Blanca E Himes2.   

Abstract

PURPOSE: We tested the hypothesis that individual- and neighborhood-level measures of socioeconomic status (SES) are more concordant in urban than rural areas, and we used the previously established association between obesity and self-rated health to illustrate the effect of residual confounding by individual-level SES when only neighborhood-level SES is considered.
METHODS: Using data from two population-based surveys, we calculated Spearman's rank correlations between household income and neighborhood socioeconomic advantage across eight Pennsylvania counties. We applied multivariable Poisson regression models with robust variance estimates to estimate the degree to which individual SES confounds the association between obesity and self-rated health when the analysis accounts for neighborhood SES only, and we examined how this confounding varied by county urbanicity.
RESULTS: Concordance between household income and neighborhood advantage increased with county urbanicity (ρ = 0.16-0.26 vs. 0.31-0.45 vs. 0.47 in medium metro/micropolitan, suburban, and large metro counties, respectively), while confounding by individual SES on the obesity and self-rated health association decreased with urbanicity (15%-22% vs. 6%-13% vs. 3% in medium metro/micropolitan, suburban, and large metro counties, respectively).
CONCLUSIONS: Individual- and neighborhood-level SES measures are poorly correlated outside of urban areas, suggesting that neighborhood-level measures inadequately account for individual SES in rural settings.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Confounding; Neighborhood characteristics; Research methodology; Socioeconomic status; Urban–rural

Mesh:

Year:  2020        PMID: 32151518      PMCID: PMC7160852          DOI: 10.1016/j.annepidem.2020.01.012

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  41 in total

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