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Anemia in Young Children and the Association With Socioeconomic Deprivation Indices
Author(s) -
Haacker Lindsay,
Littner Lisa,
Martin Mathew,
Brokamp Cole,
Beck Andrew F.,
LuchtmanJones Lori
Publication year - 2025
Publication title -
pediatric blood and cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.116
H-Index - 105
eISSN - 1545-5017
pISSN - 1545-5009
DOI - 10.1002/pbc.31663
Subject(s) - medicine , socioeconomic status , anemia , demography , population , environmental health , pediatrics , gerontology , sociology
ABSTRACT Background Anemia is a global and local child health problem, with consequences that include long‐term neurocognitive deficits. This study aimed to determine the prevalence of anemia in young children living in an urban environment and evaluate associations with indices of geospatial deprivation, as measured by the Community Material Deprivation Index (DI) and modified Retail Food Environment Index (mRFEI). The DI uses census variables to capture socioeconomic disadvantage. The mRFEI assesses the ratio of healthy food retailers to all food retailers in a geographic area. Procedure This retrospective, cross‐sectional study included a cohort of subjects aged 9 months to 6 years who had clinically indicated testing performed at Cincinnati Children's Hospital Medical Center's (CCHMC) clinical laboratories from 2017 to 2020. Residential addresses in the electronic health record were geocoded, geospatially joined to census tracts, and linked to DI and mRFEI values. Results Data were available for 13,234 children, with 39% residing in Hamilton County, where CCHMC is located. The prevalence of anemia ranged from 1.0% to 1.6% per year in Hamilton County during the study years. Anemia was significantly associated with living in an area with a higher DI: A 1% increase in the DI corresponded to a 0.2% higher prevalence of anemia ( p < 0.001). A 1% decrease in mRFEI was associated with a 0.1% higher prevalence of anemia ( p = 0.027). Conclusion Socioeconomic conditions are associated with anemia prevalence at a population scale. Geospatial indices of deprivation can aid in the identification of children at increased risk for anemia.
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