Evidence map›Paper›PMID 39764101›Full record

ArticleResearch square2024

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

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

Abstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Vidhu ThakerColumbia University Irving Medical Center.ORCID 0000-0002-3537-2782
Nia EbrahimColumbia University.
Apurva KhadegiColumbia University.
Shuliang DengBeth Israel Deaconess Medical Center.
Kun QianMailman School of Public Health.
Zonghui YaoNorthEastern University.
Shaleen ThakerColumbia University Irving Medical Center.
Benjamin MayColumbia University Irving Medical Center.
Nandan PatibandalaBoston Childrens Hospital.
Sara Lopez-PintadoNorthEastern University.

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
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 DK110539NIMH NIH HHS R21 MH120534
6 · The paper itself

Abstract

Objective: Persistence 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 obesity classification system using longitudinal clinical data. Methods: This 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. Results: Height, 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 Conclusions: The 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 indexcardiometabolic riskchildhood obesity

Identifiers

PMID39764101
PMCPMC11702781

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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.