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Cross-sectional study of sociodemographic patterning of risk factors for cardiovascular disease in three isolated-based subgroups of the Uyghur population in Xinjiang, China

OBJECTIVE: To explore the sociodemographic patterning of risk factors for cardiovascular disease (CVD) in three isolated-based subgroups of the Uyghur population in Xinjiang, China. DESIGN: A cross-sectional study. Between 2005 and 2008, a non-probability sampling design method was used to select th...

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Autores principales: Jiang, Jingmei, Wufuer, Mayila, Simayi, Amuti, Nijiati, Muyesai, Fan, Ming, Zhu, Pengcheng, Chen, Fenghui, Shan, Guangliang, Xue, Fang, Tian, Xiaobing, Li, Feng, Hou, Lei, Han, Wei, Cheng, Zuheng, Qiu, Changchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3612766/
https://www.ncbi.nlm.nih.gov/pubmed/23503578
http://dx.doi.org/10.1136/bmjopen-2012-002279
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author Jiang, Jingmei
Wufuer, Mayila
Simayi, Amuti
Nijiati, Muyesai
Fan, Ming
Zhu, Pengcheng
Chen, Fenghui
Shan, Guangliang
Xue, Fang
Tian, Xiaobing
Li, Feng
Hou, Lei
Han, Wei
Cheng, Zuheng
Qiu, Changchun
author_facet Jiang, Jingmei
Wufuer, Mayila
Simayi, Amuti
Nijiati, Muyesai
Fan, Ming
Zhu, Pengcheng
Chen, Fenghui
Shan, Guangliang
Xue, Fang
Tian, Xiaobing
Li, Feng
Hou, Lei
Han, Wei
Cheng, Zuheng
Qiu, Changchun
author_sort Jiang, Jingmei
collection PubMed
description OBJECTIVE: To explore the sociodemographic patterning of risk factors for cardiovascular disease (CVD) in three isolated-based subgroups of the Uyghur population in Xinjiang, China. DESIGN: A cross-sectional study. Between 2005 and 2008, a non-probability sampling design method was used to select three specific groups of the Uyghur rural populations based on their potential socioeconomic status (ie, isolated, semi-isolated and open-environment status). SETTING: Three communities (named Desert, Turpan and Yuli Rob) in Southern Xinjiang autonomous region, China. PARTICIPANTS: 1656 people were included in this study. The inclusion criteria were that all participants were 18 years or older, they were descendants of at least three generations living in the same region, and there was no history of intermarriage. MAIN OUTCOME MEASURES: The prevalence of CVD risk factors (ie, tobacco use, alcohol use, obesity, dyslipidemia, hypertension, diabetes, etc) was assessed. RESULTS: Compared with the Desert and Turpan communities, Yuli Rob had the highest levels of obesity, dyslipidemia and hypertension, and the Desert had the lowest levels of CVD risk factors. Age standardisation slightly altered the estimates, though the patterns remained unchanged. Some unique characteristics were also found. For example, the Desert group displayed significantly lower high-density lipoprotein cholesterol (HDLC) level compared with Yuli Rob and Turpan groups. The mean values were 0.63, 1.06 and 1.45 mmol/l for men and 0.64, 1.22 and 1.51 mmol/l for women (p<0.0001). The HDLC levels in the Desert group increased with increase in body mass index and fasting glucose levels, which was inconsistent with previous studies. CONCLUSIONS: Identifying the unique CVD risk factors of the ethnic-specific populations is very important in development of tailored strategies for the prevention of CVD.
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spelling pubmed-36127662013-07-08 Cross-sectional study of sociodemographic patterning of risk factors for cardiovascular disease in three isolated-based subgroups of the Uyghur population in Xinjiang, China Jiang, Jingmei Wufuer, Mayila Simayi, Amuti Nijiati, Muyesai Fan, Ming Zhu, Pengcheng Chen, Fenghui Shan, Guangliang Xue, Fang Tian, Xiaobing Li, Feng Hou, Lei Han, Wei Cheng, Zuheng Qiu, Changchun BMJ Open Epidemiology OBJECTIVE: To explore the sociodemographic patterning of risk factors for cardiovascular disease (CVD) in three isolated-based subgroups of the Uyghur population in Xinjiang, China. DESIGN: A cross-sectional study. Between 2005 and 2008, a non-probability sampling design method was used to select three specific groups of the Uyghur rural populations based on their potential socioeconomic status (ie, isolated, semi-isolated and open-environment status). SETTING: Three communities (named Desert, Turpan and Yuli Rob) in Southern Xinjiang autonomous region, China. PARTICIPANTS: 1656 people were included in this study. The inclusion criteria were that all participants were 18 years or older, they were descendants of at least three generations living in the same region, and there was no history of intermarriage. MAIN OUTCOME MEASURES: The prevalence of CVD risk factors (ie, tobacco use, alcohol use, obesity, dyslipidemia, hypertension, diabetes, etc) was assessed. RESULTS: Compared with the Desert and Turpan communities, Yuli Rob had the highest levels of obesity, dyslipidemia and hypertension, and the Desert had the lowest levels of CVD risk factors. Age standardisation slightly altered the estimates, though the patterns remained unchanged. Some unique characteristics were also found. For example, the Desert group displayed significantly lower high-density lipoprotein cholesterol (HDLC) level compared with Yuli Rob and Turpan groups. The mean values were 0.63, 1.06 and 1.45 mmol/l for men and 0.64, 1.22 and 1.51 mmol/l for women (p<0.0001). The HDLC levels in the Desert group increased with increase in body mass index and fasting glucose levels, which was inconsistent with previous studies. CONCLUSIONS: Identifying the unique CVD risk factors of the ethnic-specific populations is very important in development of tailored strategies for the prevention of CVD. BMJ Publishing Group 2013-03-15 /pmc/articles/PMC3612766/ /pubmed/23503578 http://dx.doi.org/10.1136/bmjopen-2012-002279 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an open-access article distributed under the terms of the creative commons attribution non-commercial license, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. see: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.
spellingShingle Epidemiology
Jiang, Jingmei
Wufuer, Mayila
Simayi, Amuti
Nijiati, Muyesai
Fan, Ming
Zhu, Pengcheng
Chen, Fenghui
Shan, Guangliang
Xue, Fang
Tian, Xiaobing
Li, Feng
Hou, Lei
Han, Wei
Cheng, Zuheng
Qiu, Changchun
Cross-sectional study of sociodemographic patterning of risk factors for cardiovascular disease in three isolated-based subgroups of the Uyghur population in Xinjiang, China
title Cross-sectional study of sociodemographic patterning of risk factors for cardiovascular disease in three isolated-based subgroups of the Uyghur population in Xinjiang, China
title_full Cross-sectional study of sociodemographic patterning of risk factors for cardiovascular disease in three isolated-based subgroups of the Uyghur population in Xinjiang, China
title_fullStr Cross-sectional study of sociodemographic patterning of risk factors for cardiovascular disease in three isolated-based subgroups of the Uyghur population in Xinjiang, China
title_full_unstemmed Cross-sectional study of sociodemographic patterning of risk factors for cardiovascular disease in three isolated-based subgroups of the Uyghur population in Xinjiang, China
title_short Cross-sectional study of sociodemographic patterning of risk factors for cardiovascular disease in three isolated-based subgroups of the Uyghur population in Xinjiang, China
title_sort cross-sectional study of sociodemographic patterning of risk factors for cardiovascular disease in three isolated-based subgroups of the uyghur population in xinjiang, china
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3612766/
https://www.ncbi.nlm.nih.gov/pubmed/23503578
http://dx.doi.org/10.1136/bmjopen-2012-002279
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