Evidence map›Paper›PMID 40670646›Full record

Observational studyInternational journal of obesity (2005)2025

Classification of childhood obesity using longitudinal clinical body mass index and its validation.

Nia Ebrahim, Apruva Khadegi, Shuliang Deng, Kun Qian, Zonghui Yao, Shaleen Thaker, Benjamin May, Nandan Patibandala, Sara Lopez-Pintado, Vidhu V Thaker

Abstract readObservational StudyValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in International journal of obesity (2005), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Nia EbrahimInstitute of Human Nutrition, Columbia University, New York, NY, 10032, USA.
Apruva KhadegiVagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA.
Shuliang DengDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA.
Kun QianDepartment of Biostatistics, Mailman School of Public Health, New York, NY, 10032, USA.
Zonghui YaoDepartment of Health Sciences, Northeastern University, Boston, MA, USA.
Shaleen ThakerIrvington High School, Irvington, NY, 10533, USA.
Benjamin MayHerbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Nandan PatibandalaComputational Health Informatics Program, Boston Children's Hospital, Boston, MA, 02115, USA.
Sara Lopez-PintadoDepartment of Health Sciences, Northeastern University, Boston, MA, USA.
Vidhu V ThakerDivision of Molecular Genetics, Department of Pediatrics, Columbia University Medical Center, New York, NY, 10032, USA. vvt2114@cumc.columbia.edu.ORCID http://orcid.org/0000-0002-3537-2782

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
RESEARCH TRAININGP30DK026687 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI Anthony W Ferrante, DYMPNA GALLAGHER · 1986 to 2026
$33.0M
Genetics of Early Childhood Obesity and its Clinical ImplicationsK23DK110539 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI THAKER, VIDHU V. · 2016 to 2021
$996k
Nonparametric depth-based methods for analyzing high-dimensional data. Applications to biomedical researchR21MH120534 · NIMH · NORTHEASTERN UNIVERSITY · PI LOPEZ-PINTADO, SARA · 2019 to 2020
$450k
NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR002541NIDDK NIH HHS K23 DK110539NIDDK NIH HHS P30 DK026687NIMH NIH HHS R21 MH120534
6 · The paper itself

Abstract

objectivePersistence of childhood adiposity is known to be associated with long-term adverse cardiometabolic risks. Yet, cross-sectional body mass index (BMI) is often used to classify obesity in clinical care and research. This study aimed to develop and validate a childhood BMI classification system using real life longitudinal clinical data.

methodsThis observational study used electronic health record data from a tertiary care hospital, with replication in an independent cohort. For individuals with ≥ 3 BMI measurements, the median BMI percentile and persistence in the obesity class were used for longitudinal classification. The association between longitudinal BMI class and early onset obesity, socioeconomic status (SES), and adverse cardiometabolic risk was analyzed.

resultsHeight, weight, and cardiometabolic risk measures were obtained for 22,352 children from 2014-18 in the primary cohort and 24,444 children in the replication cohort. Obesity (BMI ≥ 95

conclusionsThe Longitudinal BMI classification may better reflect long-term cardiometabolic risk in children. This classification can be useful for focused intervention strategies and for profiling of individuals for genetic testing.

Indexed as

Body Mass IndexPediatric ObesityAdolescentCardiometabolic Risk FactorsChildChild, PreschoolCross-Sectional StudiesFemaleHumansLongitudinal StudiesMale

Identifiers

PMID40670646
PMCPMC12604020

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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.