Observational studyPublic health2025
Utilize administrative data to assess impact of individual-level and neighborhood-level socioeconomic status on childhood health in a longitudinal study.
Observational study in Public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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7 authors.
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Abstract
objectivesOur study aims to 1) propose an approach to standardize individual-level and neighborhood-level socioeconomic status (SES) measures from administrative records across three decades, 2) determine the degree of agreement between individual-level and neighborhood-level SES measures, and 3) compare the associations of individual-level and neighborhood-level SES measures and childhood health. STUDY
designRetrospective observational study.
methodsOur cohort included children born in Utah during 1978-2008. Parental SES indicators including education, occupation, and area household income corresponding to maternal addresses were collected from birth certificates. Spearman rank correlation tests were used to determine the correlation between SES measures. Cox regression models and causal mediation analyses were used to assess the association between three childhood health outcomes-mortality, failure-to-thrive, and asthma- and three SES measures: highest education level and occupational status score of parent(s) and area household income.
results819,108 children were included in the final analysis. We observed moderate agreement (r ranges 0.43-0.49) between individual-level SES measures (education and occupation) and weak agreement (r ranges 0.19-0.25) between these measures and neighborhood-level SES measures. Parental education had the strongest association with childhood health. The associations of parental occupation and area household income with childhood health, and their mediating effects on parental education, varied by the severity of health outcomes.
conclusionsWe introduced an approach to standardize SES measures from administrative records for longitudinal analyses. We confirmed that individual-level and neighborhood-level SES measures are distinct indicators of social standing and validated the importance of the choice of SES measures when analyzing childhood health.
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