Utilize Administrative Data to Assess Impact of Individual-level and Neighborhood-level Socioeconomic Status on Childhood Health in a Longitudinal Study.

Details

• Alternative Title:
  Public Health, 2025, v. 240: Utilize Administrative Data to Assess Impact of Individual-level and Neighborhood-level Socioeconomic Status on Childhood Health in a Longitudinal Study.
• Journal Article:
  Public Health
• Personal Author:
  Meeks, Huong D. ; Yu, David Zhe ; Fraser, Alison ; Maloney, Thomas N. ; Curtin, Karen ; Newman, Mike ; Smith, Ken R.
• Description:
  Our 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.
  
  Retrospective observational study.
  
  Our 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.
  
  819,108 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.
  
  We 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.
• Content Notes:
  Author manuscript
• Subjects:
  • Humans
  • Longitudinal Studies
  • Retrospective Studies
  • Female
  • Male
  • Child Health
  • Social Class
  • Child
  • Child, Preschool
  • Neighborhood Characteristics
  More +
• Keywords:
  • Administrative records
  • Socioeconomic Status
  • Childhood Health
  • Longitudinal Study
  • Occupational Status Score
  • ACS
  • Education
  • Fundamental Cause Theory
  • Causal Mediation Analyses
• Source:
  Public Health, 2025, v. 240
• DOI:
  https://doi.org/10.1016/j.puhe.2025.01.019
• ISSN:
  0033-3506 ; 1476-5616
• Pubmed ID:
  39908603
• Pubmed Central ID:
  PMC11884996
• Document Type:
  Text
• Funding:
  R01 AG022095/AG/NIA NIH HHSUnited States/ ; R01 RR021746/RR/NCRR NIH HHSUnited States/ ; T42 OH008414/OH/NIOSH CDC HHSUnited States/
• Genre:
  Journal Article
• Place as Subject:
  Utah
• Pages in Document:
  154-160 (19 pdf pages)
• Volume:
  240
• Download URL:
  https://stacks.cdc.gov/view/cdc/261703/cdc_261703_DS1.pdf
• File Type:
  [PDF - 611.66 KB]
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha-512:b380afbecf888be02fadde91772183ad9a4f76234574908054ff521bfed03bbe276921198cb2cc888f8bd0114224bae17785fba2b565c864c8ca4b9bb659f324