Evidence map›Paper›PMID 35256211›Full record

ArticleAmerican journal of preventive medicine2022

Obesity Incidence in U.S. Children and Young Adults: A Pooled Analysis.

Ali Rafei, Michael R Elliott, Rebecca E Jones, Fernando Riosmena, Solveig A Cunningham, Neil K Mehta

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
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  8. Article
  9. Metabolic Health and Disease: A Role of Osteokines?Calcified tissue international · 2023
    Review
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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

6 authors.

Ali RafeiSurvey Methodology Program, University of Michigan, Ann Arbor, Michigan.
Michael R ElliottSurvey Methodology Program, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan.
Rebecca E JonesHubert Department of Global Health, Emory University, Atlanta, Georgia.
Fernando RiosmenaPopulation Program, University of Colorado at Boulder, Boulder, Colorado; The Geography Department, University of Colorado at Boulder, Boulder, Colorado.
Solveig A CunninghamHubert Department of Global Health, Emory University, Atlanta, Georgia.
Neil K MehtaDepartment of Preventive Medicine and Population Health, The University of Texas Medical Branch, Galveston, Texas. Electronic address: nemehta@utmb.edu.

Funding

Translational Research Core - Engagement and Behavior ChangeP30DK111024 · NIDDK · EMORY UNIVERSITY · PI Mohammed Kumail Ali · 2016 to 2026
$13.4M
Multidisciplinary Research Training to Reduce Inequities in Cardiovascular HealthT32HL130025 · NHLBI · EMORY UNIVERSITY · PI Tené T Lewis, Viola Vaccarino · 2016 to 2026
$6.4M
University of Colorado Population CenterP2CHD066613 · NICHD · UNIVERSITY OF COLORADO · PI JANE A MENKEN · 2015 to 2026
$3.7M
The University of Colorado Population CenterR24HD066613 · NICHD · UNIVERSITY OF COLORADO · PI PAMPEL, FRED C · 2010 to 2014
$1.9M
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
NHLBI NIH HHS T32 HL130025NICHD NIH HHS P2C HD066613NICHD NIH HHS R24 HD066613NIDDK NIH HHS P30 DK111024NIDDK NIH HHS R01 DK115937
6 · The paper itself

Abstract

introductionObesity prevalence among children and adolescents has risen sharply, yet there is a limited understanding of the age-specific dynamics of obesity as there is no single nationally representative cohort following children into young adulthood. Investigators constructed a pooled data set of 5 nationally representative panels and modeled age-specific obesity incidence from childhood into young adulthood.

methodsThis longitudinal prospective follow-up used 718,560 person-years of observation in a pooled data set of 5 high-quality nationally representative panels-National Longitudinal Survey of Youth 1979 and 1997, National Longitudinal Study of Adolescent Health, and Early Childhood Longitudinal Study-Kindergarten cohorts of 1998 and 2011-constructed by the authors, covering 1980-2016. Differences in obesity incidence across birth cohorts and disparities in obesity incidence by sex and race/ethnicity (non-Hispanic Black, Hispanic, and non-Hispanic White) were tested in multivariate models. Data were analyzed from September 2018 to October 2021.

resultsObesity incidence increased by approximately 6% for each 1 year of age (hazard ratio=1.06, 95% CI=1.05, 1.07); however, incidence was nonlinear, exhibiting an inverted "U"-shaped pattern before 15 years of age and then rising from adolescence through 30 years. Obesity incidence more than doubled between the cohorts born in 1957-1965 and those born in 1974-1985 during adolescence. There was no significant change among those born in 1991-1994 and 2003-2006 up to age 15 years. Compared with non-Hispanic White children, non-Hispanic Black and Hispanic children had higher obesity incidence in all study cohorts. The magnitude of these disparities on the relative scale remained stable throughout the study period.

conclusionsAlthough many children become obese before the age of 10, obesity incidence rises from about 15 years into early adulthood, suggesting that interventions are required at multiple developmental stages.

Indexed as

Hispanic or LatinoObesityAdolescentAdultAgedChildChild, PreschoolHumansIncidenceLongitudinal StudiesProspective StudiesUnited StatesYoung Adult

Identifiers

PMID35256211
PMCPMC9232860

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Registered trials

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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.