Evidence map›Paper›PMID 39565233›Full record

ArticleJournal of primary care & community health

Temporal Trends of Obesity Among Nebraska Adults: EMR Data Shows a More Rapid Increase Than Projected.

Elizabeth M Gibson, Jenenne A Geske, Birgit N Khandalavala

Abstract read
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Subclinical Changes in Cardiovascular Function During the Neonatal Period in Infants Born to Mothers With Diabetes.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Elizabeth M GibsonDepartment of Family Medicine, University of Nebraska Medical Center, Omaha, NE, USA.
Jenenne A GeskeDepartment of Family Medicine, University of Nebraska Medical Center, Omaha, NE, USA.
Birgit N KhandalavalaDepartment of Family Medicine, University of Nebraska Medical Center, Omaha, NE, USA.ORCID 0000-0002-3101-6406

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION/

objectivesObesity data is typically obtained from national population surveys, while the use of more accurate electronic medical record (EMR) data is underutilized. The objective of this study is to calculate current obesity prevalence and weight trends using EMR data and compare the results to prior survey-based obesity prevalence projections for the state.

methodsThis retrospective study analyzed Body Mass Index (BMI) from deidentified EMR data from 16,491 adult patients in urban midwestern primary care clinics between January 2017 and October 2021 for obesity prevalence and weight trajectories, stratified by age and gender.

resultsThere was a large discrepancy between the survey-based self-reported rates of obesity (35.5%) and those calculated from baseline EMR data (47.6%), along with a smaller discrepancy in females (47.9%) compared to males (47.2%). Young adults aged 20 to 29 years showed a larger increase in BMI over time compared to other age groups.

conclusionsEMR-derived data indicates a prevalence of obesity greater than projections that have been based on self-reported survey data as well as higher weight trends than projected for this midwestern state. As evident from our study, cohorts such as at-risk young adults with a more rapid weight gain trajectory should be prioritized for enhanced obesity management.

Indexed as

Body Mass IndexElectronic Health RecordsObesityAdolescentAdultAgedFemaleHumansMaleMiddle AgedNebraskaPrevalenceRetrospective StudiesSelf ReportYoung Adultelectronic medical record (EMR)obesityprimary careweight trendsyoung adults

Identifiers

PMID39565233
PMCPMC11580073

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.