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dc.contributor.authorSylvestre, Marie-Pierre
dc.contributor.authorAhun, Marilyn N.
dc.contributor.authorO'Loughlin, Jennifer
dc.date.accessioned2022-10-17T12:53:28Z
dc.date.availableNO_RESTRICTIONfr
dc.date.available2022-10-17T12:53:28Z
dc.date.issued2021-06-16
dc.identifier.urihttp://hdl.handle.net/1866/26781
dc.publisherWileyfr
dc.rightsAttribution - Pas d'Utilisation Commerciale - Pas de Modification 4.0 International (CC BY-NC-ND 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.fr
dc.subjectAdiposityfr
dc.subjectAdolescencefr
dc.subjectBMIfr
dc.subjectGroup‐based trajectoriesfr
dc.subjectYoung adulthoodfr
dc.titleRevisiting trajectories of BMI in youth : an in‐depth analysis of differences between BMI and other adiposity measuresfr
dc.typeArticlefr
dc.contributor.affiliationUniversité de Montréal. École de santé publique. Département de médecine sociale et préventivefr
dc.identifier.doi10.1002/osp4.538
dcterms.abstractObjective Body 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. Methods Data 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 (n = 417 males; n = 445 females). Results There 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. Conclusion BMI 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.fr
dcterms.isPartOfurn:ISSN:2055-2238fr
dcterms.languageengfr
UdeM.ReferenceFournieParDeposantSylvestre MP, Ahun M, O’Loughlin J. Revisiting trajectories of BMI in youth: an in-depth analysis of differences between BMI and other adiposity measures. Obesity Science & Practice, 2021; https://doi.org/10.1002/osp4.538.fr
UdeM.VersionRioxxVersion publiée / Version of Recordfr
oaire.citationTitleObesity science and practicefr
oaire.citationVolume7fr
oaire.citationIssue6fr
oaire.citationStartPage711fr
oaire.citationEndPage718fr


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