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Age and gender-specific distribution of metabolic syndrome components in East China: role of hypertriglyceridemia in the SPECT-China study
BACKGROUND: Chinese population are experiencing remarkably changes of economic and cultural environments. The present study was to examine the prevalence of metabolic syndrome (MetS) by age between genders and to investigate the current characteristics of MetS and its components in China. METHODS: S...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5910574/ https://www.ncbi.nlm.nih.gov/pubmed/29678174 http://dx.doi.org/10.1186/s12944-018-0747-z |
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author | Jiang, Boren Zheng, Yanjun Chen, Yingchao Chen, Yi Li, Qin Zhu, Chunfang Wang, Ningjian Han, Bing Zhai, Hualing Lin, Dongping Lu, Yingli |
author_facet | Jiang, Boren Zheng, Yanjun Chen, Yingchao Chen, Yi Li, Qin Zhu, Chunfang Wang, Ningjian Han, Bing Zhai, Hualing Lin, Dongping Lu, Yingli |
author_sort | Jiang, Boren |
collection | PubMed |
description | BACKGROUND: Chinese population are experiencing remarkably changes of economic and cultural environments. The present study was to examine the prevalence of metabolic syndrome (MetS) by age between genders and to investigate the current characteristics of MetS and its components in China. METHODS: SPECT-China is a population-based cross-sectional survey on Chinese adults aged ≥18 years in East China. A total of 10,441 Chinese residents participated in anthropometric and laboratory measurements. Of these, 9969 subjects (females, 5868) were eligible for the data analysis reported here. Estimates of the prevalence of MetS and its components were calculated. Presence of MetS was defined based on the IDF/AHA harmonized criteria. MetS z-score was calculated to evaluate the degree of total metabolic disorder. RESULTS: The age-standardized prevalence of the metabolic syndrome was 22.0% (21.9% in men and 22.0% in women). Unlike the continuous MetS rise with age in females, the MetS prevalence in males remained stable among 46–55, 56–65 and > 65 yrs. age groups (31.2%, 31.4%, 32.5%, p = 0.538). In the five components of MetS, contrary to the elevated BP and BG disorders, the frequency of TG disorders decreased with age in males (46.6%(46–55 yrs), 37.2% (56–65 yrs), 27.7%(> 65 yrs), p < 0.001). Multivariable logistic regression showed that in males, more TG disorders were associated with higher BMI, higher educational level and current nonsmoker. In the MetS subjects, the 3-factor combinations which included TG disorders decreased with age in both genders. The whole metabolic profile became better in older male MetS subjects, which was opposite to the female. CONCLUSION: Our results showed a distinct age-related prevalence of MetS between genders in dramatically changed China, in which the TG disorders played an important role. More targeted measures need to be taken to meet the serious challenges of metabolic diseases. TRIAL REGISTRATION: ChiCTR-ECS-14005052, Survey on Prevalence in East China for Metabolic Diseases and Risk Factors (SPECT-China). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12944-018-0747-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5910574 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59105742018-05-02 Age and gender-specific distribution of metabolic syndrome components in East China: role of hypertriglyceridemia in the SPECT-China study Jiang, Boren Zheng, Yanjun Chen, Yingchao Chen, Yi Li, Qin Zhu, Chunfang Wang, Ningjian Han, Bing Zhai, Hualing Lin, Dongping Lu, Yingli Lipids Health Dis Research BACKGROUND: Chinese population are experiencing remarkably changes of economic and cultural environments. The present study was to examine the prevalence of metabolic syndrome (MetS) by age between genders and to investigate the current characteristics of MetS and its components in China. METHODS: SPECT-China is a population-based cross-sectional survey on Chinese adults aged ≥18 years in East China. A total of 10,441 Chinese residents participated in anthropometric and laboratory measurements. Of these, 9969 subjects (females, 5868) were eligible for the data analysis reported here. Estimates of the prevalence of MetS and its components were calculated. Presence of MetS was defined based on the IDF/AHA harmonized criteria. MetS z-score was calculated to evaluate the degree of total metabolic disorder. RESULTS: The age-standardized prevalence of the metabolic syndrome was 22.0% (21.9% in men and 22.0% in women). Unlike the continuous MetS rise with age in females, the MetS prevalence in males remained stable among 46–55, 56–65 and > 65 yrs. age groups (31.2%, 31.4%, 32.5%, p = 0.538). In the five components of MetS, contrary to the elevated BP and BG disorders, the frequency of TG disorders decreased with age in males (46.6%(46–55 yrs), 37.2% (56–65 yrs), 27.7%(> 65 yrs), p < 0.001). Multivariable logistic regression showed that in males, more TG disorders were associated with higher BMI, higher educational level and current nonsmoker. In the MetS subjects, the 3-factor combinations which included TG disorders decreased with age in both genders. The whole metabolic profile became better in older male MetS subjects, which was opposite to the female. CONCLUSION: Our results showed a distinct age-related prevalence of MetS between genders in dramatically changed China, in which the TG disorders played an important role. More targeted measures need to be taken to meet the serious challenges of metabolic diseases. TRIAL REGISTRATION: ChiCTR-ECS-14005052, Survey on Prevalence in East China for Metabolic Diseases and Risk Factors (SPECT-China). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12944-018-0747-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-20 /pmc/articles/PMC5910574/ /pubmed/29678174 http://dx.doi.org/10.1186/s12944-018-0747-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Jiang, Boren Zheng, Yanjun Chen, Yingchao Chen, Yi Li, Qin Zhu, Chunfang Wang, Ningjian Han, Bing Zhai, Hualing Lin, Dongping Lu, Yingli Age and gender-specific distribution of metabolic syndrome components in East China: role of hypertriglyceridemia in the SPECT-China study |
title | Age and gender-specific distribution of metabolic syndrome components in East China: role of hypertriglyceridemia in the SPECT-China study |
title_full | Age and gender-specific distribution of metabolic syndrome components in East China: role of hypertriglyceridemia in the SPECT-China study |
title_fullStr | Age and gender-specific distribution of metabolic syndrome components in East China: role of hypertriglyceridemia in the SPECT-China study |
title_full_unstemmed | Age and gender-specific distribution of metabolic syndrome components in East China: role of hypertriglyceridemia in the SPECT-China study |
title_short | Age and gender-specific distribution of metabolic syndrome components in East China: role of hypertriglyceridemia in the SPECT-China study |
title_sort | age and gender-specific distribution of metabolic syndrome components in east china: role of hypertriglyceridemia in the spect-china study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5910574/ https://www.ncbi.nlm.nih.gov/pubmed/29678174 http://dx.doi.org/10.1186/s12944-018-0747-z |
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