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

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 (? = 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.

SUBMITTER: Xie S

PROVIDER: S-EPMC7160852 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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

Xie Sherrie S Hubbard Rebecca A RA Himes Blanca E BE

Annals of epidemiology 20200211

<h4>Purpose</h4>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.<h4>Methods</h4>Using data from two population-based surveys, we calculated Spearman's rank correlations between household i ...[more]

PMID: 32151518

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Project description:ImportanceMedication nonadherence is common among patients with heart failure with reduced ejection fraction (HFrEF) and can lead to increased hospitalization and mortality. Patients living in socioeconomically disadvantaged areas may be at greater risk for medication nonadherence due to barriers such as lower access to transportation or pharmacies.ObjectiveTo examine the association between neighborhood-level socioeconomic status (nSES) and medication nonadherence among patients with HFrEF and to assess the mediating roles of access to transportation, walkability, and pharmacy density.Design, setting, and participantsThis retrospective cohort study was conducted between June 30, 2020, and December 31, 2021, at a large health system based primarily in New York City and surrounding areas. Adult patients with a diagnosis of HF, reduced EF on echocardiogram, and a prescription of at least 1 guideline-directed medical therapy (GDMT) for HFrEF were included.ExposurePatient addresses were geocoded, and nSES was calculated using the Agency for Healthcare Research and Quality SES index, which combines census-tract level measures of poverty, rent burden, unemployment, crowding, home value, and education, with higher values indicating higher nSES.Main outcomes and measuresMedication nonadherence was obtained through linkage of health record prescription data with pharmacy fill data and was defined as proportion of days covered (PDC) of less than 80% over 6 months, averaged across GDMT medications.ResultsAmong 6247 patients, the mean (SD) age was 73 (14) years, and majority were male (4340 [69.5%]). There were 1011 (16.2%) Black participants, 735 (11.8%) Hispanic/Latinx participants, and 3929 (62.9%) White participants. Patients in lower nSES areas had higher rates of nonadherence, ranging from 51.7% in the lowest quartile (731 of 1086 participants) to 40.0% in the highest quartile (563 of 1086 participants) (P < .001). In adjusted analysis, patients living in the lower 2 nSES quartiles had significantly higher odds of nonadherence when compared with patients living in the highest nSES quartile (quartile 1: odds ratio [OR], 1.57 [95% CI, 1.35-1.83]; quartile 2: OR, 1.35 [95% CI, 1.16-1.56]). No mediation by access to transportation and pharmacy density was found, but a small amount of mediation by neighborhood walkability was observed.Conclusions and relevanceIn this retrospective cohort study of patients with HFrEF, living in a lower nSES area was associated with higher rates of GDMT nonadherence. These findings highlight the importance of considering neighborhood-level disparities when developing approaches to improve medication adherence.

Dataset Information

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

Publications

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

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