Evidence map›Paper›PMID 35307980›Full record

ArticlePediatric obesity2022

Early childhood growth trajectories in a Medicaid population.

Amrik Singh Khalsa, Rui Li, Joseph Rausch, Mark A Klebanoff, Taniqua T Ingol, Kelly M Boone, Sarah A Keim

Open access · greenAbstract read
In one paragraph

Article in Pediatric obesity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 1 country.

Amrik Singh KhalsaDivision of Primary Care Pediatrics, Nationwide Children's Hospital, Columbus, Ohio, United States.ORCID 0000-0002-4609-5194
Rui LiDepartment of Hematology, James Cancer Hospital & Solove Research Institute, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States.
Joseph RauschDepartment of Pediatrics, College of Medicine, The Ohio State University, Columbus, Ohio, United States.
Mark A KlebanoffDepartment of Pediatrics, College of Medicine, The Ohio State University, Columbus, Ohio, United States.
Taniqua T IngolDivision of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.
Kelly M BooneCenter for Biobehavioral Health, The Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio, United States.
Sarah A KeimDepartment of Pediatrics, College of Medicine, The Ohio State University, Columbus, Ohio, United States.
Nationwide Children's Hospital · USThe Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · USUniversity of North Carolina at Chapel Hill · US

Funding

The OSU Center for Clinical and Translational Science: Advancing Today's Discoveries to Improve HealthUL1TR002733 · NCATS · OHIO STATE UNIVERSITY · PI RINGEL, MATTHEW D · 2018 to 2022
$28.9M
The Development of Early Childhood Obesity in Children Born PretermR03HD084927 · NICHD · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI KEIM, SARAH · 2016 to 2017
$150k
NCATS NIH HHS UL1 TR002733NICHD NIH HHS R03 HD084927
6 · The paper itself

Abstract

backgroundEvidence on the role of early growth trajectories and later obesity risk is primarily based on privately insured or universally insured samples.

objectivesWe aimed to characterize and determine factors associated with early growth trajectories and estimate associations with overweight/obesity risk in a Medicaid-insured and uninsured cohort.

methodsInfants seen at a large pediatric academic centre in 2010-2016 were included. Weight and length/height measurements were converted to age and sex-specific BMI z-scores (BMIz) based on the World Health Organization (WHO) Growth Standards. Group-based trajectories were modelled using BMIz created groups. Logistic and log-binomial regression models estimated associations between membership in trajectories and maternal/child factors and overweight or obesity at 36, 48, and 60 months, separately. Analyses were performed between 2019 and 2021.

resultsThe best-fitting model identified five BMIz trajectories among 30 189 children and 310 113 clinical encounters; two trajectories showed rapid rise in BMIz. Lower maternal education, pre-pregnancy maternal overweight/obese status, and maternal smoking were positively associated with both rapid-rising BMIz trajectories. Children in either of the two rapid-rising trajectories were 3.00 (95% CI: 2.85, 3.25), 2.97 (95% CI: 2.77, 3.18) and 2.76 (95% CI: 2.53, 3.01) times more likely to have overweight or obesity at 36, 48, and 60 months, respectively compared to children in the stable trajectory groups.

conclusionsAmong Medicaid insured and uninsured children, several maternal and child characteristics were associated with early rapid-rise in BMIz. Clinical monitoring of early rapidly rising BMI may be important to address modifiable risk factors for obesity in families from low-income households.

Indexed as

OverweightPediatric ObesityBody Mass IndexChildChild, PreschoolFemaleHumansInfantLongitudinal StudiesMaleMedicaidObesityPregnancychildhood obesityearly childhoodgrowth trajectorylow-incomeMedicaid

Identifiers

PMID35307980
PMCPMC9357091
OpenAlexW4220852058

What OpenQuestion holds

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Registered trials

None linked

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.