Evidence map›Paper›PMID 34877010›Full record

ArticleObesity science & practice2021

Revisiting trajectories of BMI in youth: An in-depth analysis of differences between BMI and other adiposity measures.

Marie-Pierre Sylvestre, Marilyn N Ahun, Jennifer O'Loughlin

Abstract read
In one paragraph

Article in Obesity science & practice, 2021. 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
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1 · What the graph read from it

What it found

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2 · The registry

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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.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Marie-Pierre SylvestreCentre de recherche du centre hospitalier de l`Université de Montréal (CRCHUM) Montréal Quebec Canada.ORCID https://orcid.org/0000-0001-5803-4615
Marilyn N AhunCentre de recherche du centre hospitalier de l`Université de Montréal (CRCHUM) Montréal Quebec Canada.
Jennifer O'LoughlinCentre de recherche du centre hospitalier de l`Université de Montréal (CRCHUM) Montréal Quebec Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBody mass index (BMI) is used to identify trajectories of adiposity in youth, but it does not distinguish fat- from fat-free-mass. There are other inexpensive measures of adiposity which might better capture fat-mass in youth The objective of this study is to examine differences between sex-specific trajectories of BMI and other adiposity indicators (subscapular and triceps skinfold thickness, waist circumference, waist-to-height ratio) which may better capture fat-mass in youth.

methodsData come from four cycles of a longitudinal cohort of 1293 students in Montréal, Canada at ages 12, 15, 17 and 24. Group-based trajectory models identified sex-specific adiposity trajectories among participants with data in ≥3 cycles (

resultsThere were six trajectory groups in males and females for all five indicators, except for waist circumference (seven) in both sexes and triceps skinfold thickness (four) and waist-to-height ratio (five) in females. Most trajectories indicated linear increases; only the skinfold thickness indicators identified a decreasing trajectory. While all indicators identified a trajectory with high levels of adiposity, they differed in the number and relative size of trajectories pertaining to individuals in lower half of the adiposity distribution.

conclusionBMI is a satisfactory indicator of adiposity in youth if the aim of the trajectory analysis is to identify youth with excess adiposity, a known risk factor for cardiometabolic outcomes in adulthood.

Indexed as

adiposityadolescenceBMIgroup‐based trajectoriesyoung adulthood

Identifiers

PMID34877010
PMCPMC8633937

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