Evidence map›Paper›PMID 41869458›Full record

ArticleJournal of public health in the deep South2025

Using Electronic Medical Records to Estimate the Prevalence of Pediatric Obesity in Mississippi.

Brian D Christman, Abigail Gamble, Kalon Kl Ho, Sonia Jain, Lei Zhang, William B Hillegass

Abstract read
In one paragraph

Article in Journal of public health in the deep South, 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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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Brian D ChristmanDepartment of Preventive Medicine, University of Mississippi Medical Center, Jackson, Mississippi.
Abigail GambleDepartment of Preventive Medicine, University of Mississippi Medical Center, Jackson, Mississippi.
Kalon Kl HoDepartment of Medicine/Cardiovascular Division, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Sonia JainDepartment of Family Medicine and Public Health/Division of Biostatistics & Bioinformatics, University of California San Diego, La Jolla, California.
Lei ZhangSchool of Nursing, University of Mississippi Medical Center, Jackson, Mississippi.
William B HillegassDepartments of Data Science and Medicine, University of Mississippi Medical Center, Jackson, Mississippi.

Funding

Tracking and Evaluation CoreU54GM115428 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI COMPRETTA, CAROLINE E. · 2016 to 2025
$38.2M
NIGMS NIH HHS U54 GM115428
6 · The paper itself

Abstract

Background: Pediatric obesity is a major public health concern in Mississippi. However, existing surveillance systems, including the Youth Risk Behavioral Surveillance System, National Survey of Children's Health, and Child and Youth Prevalence of Obesity Survey, are limited by self-reported data, restricted age ranges, and incomplete subgroup coverage. Purpose: This study evaluates the plausibility of using electronic medical records to improve population-level surveillance of pediatric obesity in Mississippi while addressing issues of data completeness, bias, and representativeness. Methods: Electronic medical records from 40,215 patients aged 2-19 years who received care at the University of Mississippi Medical Center (2013-2022) were analyzed via multilevel regression to generate pediatric obesity prevalence estimates overall and by age, sex, and race/ethnicity for the medical center and the broader Mississippi population. Missing values were managed using multiple imputation by chained equations, and inverse probability weighting addressed ascertainment bias. Results were compared with existing surveillance systems. Results: The estimated Mississippi obesity prevalence ranged from 20.0% to 21.3% across years, with higher estimates among non-Hispanic Black youth and older age groups. Estimates aligned closely with existing surveillance systems. Conclusions: Electronic medical record-based surveillance produced plausible, detailed obesity prevalence estimates for Mississippi, complementing existing systems and providing timely data across the pediatric age range.

Indexed as

electronic medical recordsMississippipediatric obesityprevalence estimationpublic health surveillance

Identifiers

PMID41869458
PMCPMC13003416

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