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Long-term changes in body composition and their relationships with cardiometabolic risk factors: A population-based cohort study

The aim of the present study was to classify the latent body fat trajectories of Chinese adults and their relationships with cardiometabolic risk factors. Data were obtained from the China Health Nutrition Survey for 3,013 participants, who underwent six follow-up visits between 1993 and 2009. Skinf...

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Autores principales: Fan, Zhaoyang, Shi, Yunping, Huang, Guimin, Hou, Dongqing, Liu, Junting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8118322/
https://www.ncbi.nlm.nih.gov/pubmed/33984012
http://dx.doi.org/10.1371/journal.pone.0251486
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author Fan, Zhaoyang
Shi, Yunping
Huang, Guimin
Hou, Dongqing
Liu, Junting
author_facet Fan, Zhaoyang
Shi, Yunping
Huang, Guimin
Hou, Dongqing
Liu, Junting
author_sort Fan, Zhaoyang
collection PubMed
description The aim of the present study was to classify the latent body fat trajectories of Chinese adults and their relationships with cardiometabolic risk factors. Data were obtained from the China Health Nutrition Survey for 3,013 participants, who underwent six follow-up visits between 1993 and 2009. Skinfold thickness and other anthropometric indicators were used to estimate body composition. The latent growth model was used to create fat mass to fat-free mass ratio (F2FFMR) trajectory groups. Blood pressure, fasting plasma glucose, total cholesterol, triglycerides, and high- and low-density lipoprotein–cholesterol were measured in venous blood after an overnight fast. Logistic regression was used to explore the relationships of F2FFMR trajectory with cardiometabolic risk factors. In men, four types of F2FFMR trajectory were identified. After adjustment for behavioral and lifestyle factors, age, and weight status, and compared with the Low stability group, the High stability group showed a significant association with diabetes. In women, three types of F2FFMR trajectory were identified. Compared to the Low stability group, the High stability group showed significant associations with diabetes and hypertension after adjustment for the same covariates as in men. Thus, in this long-term study we have identified three F2FFMR trajectory groups in women and four in men. In both sexes, the highly stable F2FFMR is associated with the highest risk of developing diabetes, independent of age and body mass. In addition, in women, it is associated with the highest risk of hypertension, independent of age and body mass.
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spelling pubmed-81183222021-05-24 Long-term changes in body composition and their relationships with cardiometabolic risk factors: A population-based cohort study Fan, Zhaoyang Shi, Yunping Huang, Guimin Hou, Dongqing Liu, Junting PLoS One Research Article The aim of the present study was to classify the latent body fat trajectories of Chinese adults and their relationships with cardiometabolic risk factors. Data were obtained from the China Health Nutrition Survey for 3,013 participants, who underwent six follow-up visits between 1993 and 2009. Skinfold thickness and other anthropometric indicators were used to estimate body composition. The latent growth model was used to create fat mass to fat-free mass ratio (F2FFMR) trajectory groups. Blood pressure, fasting plasma glucose, total cholesterol, triglycerides, and high- and low-density lipoprotein–cholesterol were measured in venous blood after an overnight fast. Logistic regression was used to explore the relationships of F2FFMR trajectory with cardiometabolic risk factors. In men, four types of F2FFMR trajectory were identified. After adjustment for behavioral and lifestyle factors, age, and weight status, and compared with the Low stability group, the High stability group showed a significant association with diabetes. In women, three types of F2FFMR trajectory were identified. Compared to the Low stability group, the High stability group showed significant associations with diabetes and hypertension after adjustment for the same covariates as in men. Thus, in this long-term study we have identified three F2FFMR trajectory groups in women and four in men. In both sexes, the highly stable F2FFMR is associated with the highest risk of developing diabetes, independent of age and body mass. In addition, in women, it is associated with the highest risk of hypertension, independent of age and body mass. Public Library of Science 2021-05-13 /pmc/articles/PMC8118322/ /pubmed/33984012 http://dx.doi.org/10.1371/journal.pone.0251486 Text en © 2021 Fan et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
Fan, Zhaoyang
Shi, Yunping
Huang, Guimin
Hou, Dongqing
Liu, Junting
Long-term changes in body composition and their relationships with cardiometabolic risk factors: A population-based cohort study
title Long-term changes in body composition and their relationships with cardiometabolic risk factors: A population-based cohort study
title_full Long-term changes in body composition and their relationships with cardiometabolic risk factors: A population-based cohort study
title_fullStr Long-term changes in body composition and their relationships with cardiometabolic risk factors: A population-based cohort study
title_full_unstemmed Long-term changes in body composition and their relationships with cardiometabolic risk factors: A population-based cohort study
title_short Long-term changes in body composition and their relationships with cardiometabolic risk factors: A population-based cohort study
title_sort long-term changes in body composition and their relationships with cardiometabolic risk factors: a population-based cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8118322/
https://www.ncbi.nlm.nih.gov/pubmed/33984012
http://dx.doi.org/10.1371/journal.pone.0251486
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