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: Zhaoyang Fan, Yunping Shi, Guimin Huang, Dongqing Hou, Junting Liu
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Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/f9b31a42d7d74b22b2e665f31f19da84
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spelling oai:doaj.org-article:f9b31a42d7d74b22b2e665f31f19da842021-12-02T20:04:06ZLong-term changes in body composition and their relationships with cardiometabolic risk factors: A population-based cohort study.1932-620310.1371/journal.pone.0251486https://doaj.org/article/f9b31a42d7d74b22b2e665f31f19da842021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0251486https://doaj.org/toc/1932-6203The 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.Zhaoyang FanYunping ShiGuimin HuangDongqing HouJunting LiuPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 5, p e0251486 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Zhaoyang Fan
Yunping Shi
Guimin Huang
Dongqing Hou
Junting Liu
Long-term changes in body composition and their relationships with cardiometabolic risk factors: A population-based cohort study.
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.
format article
author Zhaoyang Fan
Yunping Shi
Guimin Huang
Dongqing Hou
Junting Liu
author_facet Zhaoyang Fan
Yunping Shi
Guimin Huang
Dongqing Hou
Junting Liu
author_sort Zhaoyang Fan
title 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_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_sort long-term changes in body composition and their relationships with cardiometabolic risk factors: a population-based cohort study.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/f9b31a42d7d74b22b2e665f31f19da84
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AT guiminhuang longtermchangesinbodycompositionandtheirrelationshipswithcardiometabolicriskfactorsapopulationbasedcohortstudy
AT dongqinghou longtermchangesinbodycompositionandtheirrelationshipswithcardiometabolicriskfactorsapopulationbasedcohortstudy
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