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Life-course trajectories of body mass index and subsequent cardiovascular risk among Chinese population

BACKGROUND: Examining body mass index (BMI) change over life course is crucial for cardiovascular health promotion and prevention. So far, there is very few evidence on the long-term change of BMI from childhood to late life. This study aimed to examine the life-course trajectory patterns of BMI and...

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Autores principales: Islam, Md. Tauhidul, Möller, Jette, Zhou, Xingwu, Liang, Yajun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6786833/
https://www.ncbi.nlm.nih.gov/pubmed/31600353
http://dx.doi.org/10.1371/journal.pone.0223778
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author Islam, Md. Tauhidul
Möller, Jette
Zhou, Xingwu
Liang, Yajun
author_facet Islam, Md. Tauhidul
Möller, Jette
Zhou, Xingwu
Liang, Yajun
author_sort Islam, Md. Tauhidul
collection PubMed
description BACKGROUND: Examining body mass index (BMI) change over life course is crucial for cardiovascular health promotion and prevention. So far, there is very few evidence on the long-term change of BMI from childhood to late life. This study aimed to examine the life-course trajectory patterns of BMI and then to link the trajectory patterns to cardiovascular risk factors in adulthood. METHODS: Based on longitudinal data from the China Health and Nutrition Survey, 5276 participants (aged 6–60) at baseline (in 1989) with up to 7 measurements of BMI during 1989–2009 were selected in this study. Cardiovascular risk factors including high blood pressure, high blood glucose and high blood lipids were assessed in 2411 participants in 2009. Latent growth curve modelling was used to analyse the BMI trajectories, and logistic regression was used to examine the associations between trajectory patterns and cardiovascular risk factors. RESULTS: Four trajectories patterns of BMI over life course (age 6–80) were identified: Normal-Stable (22.4% of the total participants), Low normal-Normal-Stable (44.1%), Low normal-Normal-Overweight (27.2%), and Overweight-Obese (4.3%). Compared to those with Normal-Stable pattern, those with Low normal-Normal-Stable pattern, Low normal-Normal-Overweight pattern and Overweight-Obese pattern had higher risk of high blood pressure (odds ratio range = 1.6–6.6), high blood glucose (1.7–9.1), dyslipidemia (2.6–5.9) and having at least two of the three cardiovascular risk factors (3.9–30.9). CONCLUSIONS: Having a stable BMI within normal range over life course is associated with the lowest cardiovascular risk, whereas remaining overweight and obese over life course is associated with the highest cardiovascular risk.
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spelling pubmed-67868332019-10-19 Life-course trajectories of body mass index and subsequent cardiovascular risk among Chinese population Islam, Md. Tauhidul Möller, Jette Zhou, Xingwu Liang, Yajun PLoS One Research Article BACKGROUND: Examining body mass index (BMI) change over life course is crucial for cardiovascular health promotion and prevention. So far, there is very few evidence on the long-term change of BMI from childhood to late life. This study aimed to examine the life-course trajectory patterns of BMI and then to link the trajectory patterns to cardiovascular risk factors in adulthood. METHODS: Based on longitudinal data from the China Health and Nutrition Survey, 5276 participants (aged 6–60) at baseline (in 1989) with up to 7 measurements of BMI during 1989–2009 were selected in this study. Cardiovascular risk factors including high blood pressure, high blood glucose and high blood lipids were assessed in 2411 participants in 2009. Latent growth curve modelling was used to analyse the BMI trajectories, and logistic regression was used to examine the associations between trajectory patterns and cardiovascular risk factors. RESULTS: Four trajectories patterns of BMI over life course (age 6–80) were identified: Normal-Stable (22.4% of the total participants), Low normal-Normal-Stable (44.1%), Low normal-Normal-Overweight (27.2%), and Overweight-Obese (4.3%). Compared to those with Normal-Stable pattern, those with Low normal-Normal-Stable pattern, Low normal-Normal-Overweight pattern and Overweight-Obese pattern had higher risk of high blood pressure (odds ratio range = 1.6–6.6), high blood glucose (1.7–9.1), dyslipidemia (2.6–5.9) and having at least two of the three cardiovascular risk factors (3.9–30.9). CONCLUSIONS: Having a stable BMI within normal range over life course is associated with the lowest cardiovascular risk, whereas remaining overweight and obese over life course is associated with the highest cardiovascular risk. Public Library of Science 2019-10-10 /pmc/articles/PMC6786833/ /pubmed/31600353 http://dx.doi.org/10.1371/journal.pone.0223778 Text en © 2019 Islam et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Islam, Md. Tauhidul
Möller, Jette
Zhou, Xingwu
Liang, Yajun
Life-course trajectories of body mass index and subsequent cardiovascular risk among Chinese population
title Life-course trajectories of body mass index and subsequent cardiovascular risk among Chinese population
title_full Life-course trajectories of body mass index and subsequent cardiovascular risk among Chinese population
title_fullStr Life-course trajectories of body mass index and subsequent cardiovascular risk among Chinese population
title_full_unstemmed Life-course trajectories of body mass index and subsequent cardiovascular risk among Chinese population
title_short Life-course trajectories of body mass index and subsequent cardiovascular risk among Chinese population
title_sort life-course trajectories of body mass index and subsequent cardiovascular risk among chinese population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6786833/
https://www.ncbi.nlm.nih.gov/pubmed/31600353
http://dx.doi.org/10.1371/journal.pone.0223778
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