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Group‐based trajectory modeling of body mass index and body size over the life course: A scoping review

BACKGROUND: Group‐based trajectory modeling has been applied to identify distinct trajectories of growth across the life course. Objectives of this study were to describe the methodological approaches for group‐based modeling of growth across the life course and to summarize outcomes across studies....

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Autores principales: De Rubeis, Vanessa, Andreacchi, Alessandra T., Sharpe, Isobel, Griffith, Lauren E., Keown‐Stoneman, Charles D. G., Anderson, Laura N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909593/
http://dx.doi.org/10.1002/osp4.456
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author De Rubeis, Vanessa
Andreacchi, Alessandra T.
Sharpe, Isobel
Griffith, Lauren E.
Keown‐Stoneman, Charles D. G.
Anderson, Laura N.
author_facet De Rubeis, Vanessa
Andreacchi, Alessandra T.
Sharpe, Isobel
Griffith, Lauren E.
Keown‐Stoneman, Charles D. G.
Anderson, Laura N.
author_sort De Rubeis, Vanessa
collection PubMed
description BACKGROUND: Group‐based trajectory modeling has been applied to identify distinct trajectories of growth across the life course. Objectives of this study were to describe the methodological approaches for group‐based modeling of growth across the life course and to summarize outcomes across studies. METHODS: A scoping review with a systematic search of Medline, EMBASE, CINAL, and Web of Science was conducted. Studies that used a group‐based procedure to identify trajectories on any statistical software were included. Data were extracted on trajectory methodology, measures of growth, and association with outcomes. RESULTS: A total of 59 studies were included, and most were published from 2013 to 2020. Body mass index was the most common measure of growth (n = 43). The median number of identified trajectories was 4 (range: 2–9). PROC TRAJ in SAS was used by 33 studies, other procedures used include TRAJ in STATA, lcmm in R, and Mplus. Most studies evaluated associations between growth trajectories and chronic disease outcomes (n = 22). CONCLUSIONS: Group‐based trajectory modeling of growth in adults is emerging in epidemiologic research, with four distinct trajectories observed somewhat consistently from all studies. Understanding life course growth trajectories may provide further insight for population health interventions.
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spelling pubmed-79095932021-03-05 Group‐based trajectory modeling of body mass index and body size over the life course: A scoping review De Rubeis, Vanessa Andreacchi, Alessandra T. Sharpe, Isobel Griffith, Lauren E. Keown‐Stoneman, Charles D. G. Anderson, Laura N. Obes Sci Pract Review BACKGROUND: Group‐based trajectory modeling has been applied to identify distinct trajectories of growth across the life course. Objectives of this study were to describe the methodological approaches for group‐based modeling of growth across the life course and to summarize outcomes across studies. METHODS: A scoping review with a systematic search of Medline, EMBASE, CINAL, and Web of Science was conducted. Studies that used a group‐based procedure to identify trajectories on any statistical software were included. Data were extracted on trajectory methodology, measures of growth, and association with outcomes. RESULTS: A total of 59 studies were included, and most were published from 2013 to 2020. Body mass index was the most common measure of growth (n = 43). The median number of identified trajectories was 4 (range: 2–9). PROC TRAJ in SAS was used by 33 studies, other procedures used include TRAJ in STATA, lcmm in R, and Mplus. Most studies evaluated associations between growth trajectories and chronic disease outcomes (n = 22). CONCLUSIONS: Group‐based trajectory modeling of growth in adults is emerging in epidemiologic research, with four distinct trajectories observed somewhat consistently from all studies. Understanding life course growth trajectories may provide further insight for population health interventions. John Wiley and Sons Inc. 2020-09-29 /pmc/articles/PMC7909593/ http://dx.doi.org/10.1002/osp4.456 Text en © 2020 The Authors. Obesity Science & Practice published by World Obesity and The Obesity Society and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
De Rubeis, Vanessa
Andreacchi, Alessandra T.
Sharpe, Isobel
Griffith, Lauren E.
Keown‐Stoneman, Charles D. G.
Anderson, Laura N.
Group‐based trajectory modeling of body mass index and body size over the life course: A scoping review
title Group‐based trajectory modeling of body mass index and body size over the life course: A scoping review
title_full Group‐based trajectory modeling of body mass index and body size over the life course: A scoping review
title_fullStr Group‐based trajectory modeling of body mass index and body size over the life course: A scoping review
title_full_unstemmed Group‐based trajectory modeling of body mass index and body size over the life course: A scoping review
title_short Group‐based trajectory modeling of body mass index and body size over the life course: A scoping review
title_sort group‐based trajectory modeling of body mass index and body size over the life course: a scoping review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909593/
http://dx.doi.org/10.1002/osp4.456
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