Prediction of metabolic syndrome by non-alcoholic fatty liver disease in northern urban Han Chinese population: a prospective cohort study.

<h4>Objectives</h4>To explore the relationship between non-alcoholic fatty liver disease (NAFLD) and the metabolic syndrome (MetS), and evaluate the value of NAFLD as a marker for predicting the risk of MetS in a large scale prospective cohort from northern urban Han Chinese population.&...

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Autores principales: Tao Zhang, Yongyuan Zhang, Chengqi Zhang, Fang Tang, Hongkai Li, Qian Zhang, Haiyan Lin, Shuo Wu, Yanxun Liu, Fuzhong Xue
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Publicado: Public Library of Science (PLoS) 2014
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spelling oai:doaj.org-article:a06a887a0588468eaf6928750bf6f08f2021-11-18T08:20:37ZPrediction of metabolic syndrome by non-alcoholic fatty liver disease in northern urban Han Chinese population: a prospective cohort study.1932-620310.1371/journal.pone.0096651https://doaj.org/article/a06a887a0588468eaf6928750bf6f08f2014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24801211/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Objectives</h4>To explore the relationship between non-alcoholic fatty liver disease (NAFLD) and the metabolic syndrome (MetS), and evaluate the value of NAFLD as a marker for predicting the risk of MetS in a large scale prospective cohort from northern urban Han Chinese population.<h4>Materials and methods</h4>A total of 17,920 MetS-free at baseline cohort members was included in the current study between 2005 and 2011. The baseline characteristics of the cohort were compared by NAFLD status at baseline, MetS status after follow-up. Cox proportional hazards models were used to estimate the unadjusted or adjusted hazard ratios (HRs) for NAFLD at baseline predicting the risk of MetS.<h4>Results</h4>2,183 (12.18%) new cases of MetS occurred between 2005 and 2011. In unadjusted model, HRs (95% CIs) for NAFLD predicting MetS was 3.65 (3.35, 3.97). After adjusting the confounding factors of age, gender, the metabolic factors, smoke and exercise, the HRs (95% CIs) was 1.70 (1.55, 1.87). Gender difference was observed, adjusted HRs (95% CIs) of NAFLD for predicting MetS were 2.06(1.72, 2.46) and 1.55(1.39, 1.72) in female and male population, respectively. Moreover, 163 participants developed MetS among participants without any MetS component at baseline, and its adjusted HRs was still significant, 1.87 (1.12, 3.13).<h4>Conclusion</h4>The present study indicates that NAFLD is an independent risk factor for predicting the risk of MetS in northern urban Han Chinese population, and the people with NAFLD should initiate weight and dietary control to prevent the occurrence of MetS.Tao ZhangYongyuan ZhangChengqi ZhangFang TangHongkai LiQian ZhangHaiyan LinShuo WuYanxun LiuFuzhong XuePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 5, p e96651 (2014)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Tao Zhang
Yongyuan Zhang
Chengqi Zhang
Fang Tang
Hongkai Li
Qian Zhang
Haiyan Lin
Shuo Wu
Yanxun Liu
Fuzhong Xue
Prediction of metabolic syndrome by non-alcoholic fatty liver disease in northern urban Han Chinese population: a prospective cohort study.
description <h4>Objectives</h4>To explore the relationship between non-alcoholic fatty liver disease (NAFLD) and the metabolic syndrome (MetS), and evaluate the value of NAFLD as a marker for predicting the risk of MetS in a large scale prospective cohort from northern urban Han Chinese population.<h4>Materials and methods</h4>A total of 17,920 MetS-free at baseline cohort members was included in the current study between 2005 and 2011. The baseline characteristics of the cohort were compared by NAFLD status at baseline, MetS status after follow-up. Cox proportional hazards models were used to estimate the unadjusted or adjusted hazard ratios (HRs) for NAFLD at baseline predicting the risk of MetS.<h4>Results</h4>2,183 (12.18%) new cases of MetS occurred between 2005 and 2011. In unadjusted model, HRs (95% CIs) for NAFLD predicting MetS was 3.65 (3.35, 3.97). After adjusting the confounding factors of age, gender, the metabolic factors, smoke and exercise, the HRs (95% CIs) was 1.70 (1.55, 1.87). Gender difference was observed, adjusted HRs (95% CIs) of NAFLD for predicting MetS were 2.06(1.72, 2.46) and 1.55(1.39, 1.72) in female and male population, respectively. Moreover, 163 participants developed MetS among participants without any MetS component at baseline, and its adjusted HRs was still significant, 1.87 (1.12, 3.13).<h4>Conclusion</h4>The present study indicates that NAFLD is an independent risk factor for predicting the risk of MetS in northern urban Han Chinese population, and the people with NAFLD should initiate weight and dietary control to prevent the occurrence of MetS.
format article
author Tao Zhang
Yongyuan Zhang
Chengqi Zhang
Fang Tang
Hongkai Li
Qian Zhang
Haiyan Lin
Shuo Wu
Yanxun Liu
Fuzhong Xue
author_facet Tao Zhang
Yongyuan Zhang
Chengqi Zhang
Fang Tang
Hongkai Li
Qian Zhang
Haiyan Lin
Shuo Wu
Yanxun Liu
Fuzhong Xue
author_sort Tao Zhang
title Prediction of metabolic syndrome by non-alcoholic fatty liver disease in northern urban Han Chinese population: a prospective cohort study.
title_short Prediction of metabolic syndrome by non-alcoholic fatty liver disease in northern urban Han Chinese population: a prospective cohort study.
title_full Prediction of metabolic syndrome by non-alcoholic fatty liver disease in northern urban Han Chinese population: a prospective cohort study.
title_fullStr Prediction of metabolic syndrome by non-alcoholic fatty liver disease in northern urban Han Chinese population: a prospective cohort study.
title_full_unstemmed Prediction of metabolic syndrome by non-alcoholic fatty liver disease in northern urban Han Chinese population: a prospective cohort study.
title_sort prediction of metabolic syndrome by non-alcoholic fatty liver disease in northern urban han chinese population: a prospective cohort study.
publisher Public Library of Science (PLoS)
publishDate 2014
url https://doaj.org/article/a06a887a0588468eaf6928750bf6f08f
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