Evidence map›Paper›PMID 41342794›Full record

ArticleEpidemiology (Cambridge, Mass.)2026

Obesity from Childhood to Mid-adulthood in the United States: A Synthetic Cohort Approach to Measuring Health Trajectories.

Natalia E Poveda, Michael R Elliott, Neil K Mehta, Solveig A Cunningham

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Natalia E PovedaFrom the Department of Nutrition and Biochemistry, Faculty of Sciences, Pontificia Universidad Javeriana, Bogotá, Colombia.ORCID 0000-0001-6070-362
Michael R ElliottDepartment of Biostatistics, University of Michigan, Ann Arbor, MI.
Neil K MehtaDepartment of Preventive Medicine and Population Health, The University of Texas Medical Branch, Galveston, TX.ORCID 0000-0001-6671-8435
Solveig A CunninghamHubert Department of Global Health, Emory University, Atlanta, GA.ORCID 0000-0002-2354-1526

Funding

Dynamics and Health Consequences of Obesity between Infancy and Young Adulthood in the United StatesR01DK115937 · NIDDK · EMORY UNIVERSITY · PI ARGESEANU CUNNINGHAM, SOLVEIG · 2018 to 2021
$1.6M
Disparities in the burden and progression of multi-morbidity across adulthoodR01AG074019 · NIA · EMORY UNIVERSITY · PI ARGESEANU CUNNINGHAM, SOLVEIG · 2022 to 2025
$1.5M
NIA NIH HHS R01 AG074019NIDDK NIH HHS R01 DK115937
6 · The paper itself

Abstract

backgroundObesity dynamics early in life are likely important for long-term health, but have only been described piecemeal, because nationally representative longitudinal datasets are few and have limited follow-up duration.

methodsWe created a synthetic cohort by combining two US nationally representative datasets, the Early Childhood Longitudinal Study, Kindergarten Class of 1998-1999 (ECLS98; N = 21,120; ages 4-16 years; birth cohort 1991-1994), and the National Longitudinal Survey of Youth 1997 (NLSY97; N = 8,984; ages 12-41 years; birth cohort 1980-1984). We used the older-age cohort to impute future weight trajectories of children in the younger-age cohort by matching based on subject-level body mass index trajectories estimated via linear mixed models. We projected trajectories to age 41 years in 2035 for children observed up to a mean age of 13.5 years in 2007.

resultsThe synthetic cohort (N = 10,102) showed that obesity prevalence increases from 10.0% at age 4 years to 56.3% at age 41 years. Obesity incidence peaks at ages 8 years (4.00/100 person-years [PY] [3.29-4.73]), 26 years (4.48/100 PY [3.04-5.92]), and 38 years (3.60/100 PY [0.00-8.91]).

conclusionsThis synthetic cohort approach can be used to characterize dynamics of obesity and other conditions by maximizing data from shorter "life segments." Findings suggest that today's young adults will continue to become heavier as they age. In addition to prevention before kindergarten entry, other periods for obesity prevention could be middle childhood, mid-twenties, and late thirties.

Indexed as

Body-Weight TrajectoryObesityPediatric ObesityAdolescentAdultBody Mass IndexChildChild, PreschoolCohort StudiesFemaleHumansLongitudinal StudiesMalePrevalenceUnited StatesYoung AdultAge trajectoryCohortIncidenceObesityPrevalenceProjectionUnited States

Identifiers

PMID41342794
PMCPMC12643562

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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.