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Cross-sectional study of the prevalence and risk factors of metabolic syndrome in a rural population of the Qianjiang area

The prevalence of the metabolic syndrome (MS) is increasing in China, but there are disparities between urban and rural populations, and across different regions. To examine the prevalence and risk factors of MS in the rural area of Qianjiang (Southwest China). From March 2016 to June 2018, 6 townsh...

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Autores principales: Ling, Bing, Zhao, Li, Yi, Jixiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7458173/
https://www.ncbi.nlm.nih.gov/pubmed/32871873
http://dx.doi.org/10.1097/MD.0000000000021574
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author Ling, Bing
Zhao, Li
Yi, Jixiu
author_facet Ling, Bing
Zhao, Li
Yi, Jixiu
author_sort Ling, Bing
collection PubMed
description The prevalence of the metabolic syndrome (MS) is increasing in China, but there are disparities between urban and rural populations, and across different regions. To examine the prevalence and risk factors of MS in the rural area of Qianjiang (Southwest China). From March 2016 to June 2018, 6 townships in the Qianjiang District of Chongqing Municipality were selected for a cross-sectional study of the residents in rural areas. Demographics and medical history were collected using a questionnaire. Anthropometry and blood pressure were obtained by physical examination. Blood lipids, fasting plasma glucose, and 2-h postprandial glucose were measured. A total of 2949 (1067 males and 1882 females) were included. The mean age was 63.8 ± 10.7 years. The prevalence of MS in the study population was 16.8% (496/2949). The prevalence of MS was 7.4% in men, 22.2% in women, 15.7% in Han, 18.1% in Tujia, and 14.8% in Miao. According to age, the prevalence of MS was 10.6%, 17.0%, and 18.3% in the 30–50, 50–69, and ≥ 70 years groups. The multivariable analysis showed that female sex (OR = 33.36, 95%CI: 17.0–65.53), dyslipidemia (OR = 4.71, 95%CI: 1.73–12.82), kidney diseases (OR = 2.32, 95%CI: 1.37–3.94), waistline (OR = 1.39, 95%CI: 1.33–1.46), high-density lipoprotein cholesterol (OR = 0.12, 95%CI: 0.06–0.23), triglycerides (OR = 1.52, 95%CI: 1.31–1.76), alanine aminotransferase (OR = 0.98, 95%CI: 0.97–1.00), γ-glutamyltransferase (OR = 1.00, 95%CI: 1.00–1.01), and glycated hemoglobin (OR = 1.31, 95%CI: 1.08–1.59) were independently associated with MS. The prevalence of MS was 16.8% in Qianjiang. Female sex, kidney diseases, alanine aminotransferase, and γ-glutamyltransferase were independent risk factors for MS.
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spelling pubmed-74581732020-09-11 Cross-sectional study of the prevalence and risk factors of metabolic syndrome in a rural population of the Qianjiang area Ling, Bing Zhao, Li Yi, Jixiu Medicine (Baltimore) 4300 The prevalence of the metabolic syndrome (MS) is increasing in China, but there are disparities between urban and rural populations, and across different regions. To examine the prevalence and risk factors of MS in the rural area of Qianjiang (Southwest China). From March 2016 to June 2018, 6 townships in the Qianjiang District of Chongqing Municipality were selected for a cross-sectional study of the residents in rural areas. Demographics and medical history were collected using a questionnaire. Anthropometry and blood pressure were obtained by physical examination. Blood lipids, fasting plasma glucose, and 2-h postprandial glucose were measured. A total of 2949 (1067 males and 1882 females) were included. The mean age was 63.8 ± 10.7 years. The prevalence of MS in the study population was 16.8% (496/2949). The prevalence of MS was 7.4% in men, 22.2% in women, 15.7% in Han, 18.1% in Tujia, and 14.8% in Miao. According to age, the prevalence of MS was 10.6%, 17.0%, and 18.3% in the 30–50, 50–69, and ≥ 70 years groups. The multivariable analysis showed that female sex (OR = 33.36, 95%CI: 17.0–65.53), dyslipidemia (OR = 4.71, 95%CI: 1.73–12.82), kidney diseases (OR = 2.32, 95%CI: 1.37–3.94), waistline (OR = 1.39, 95%CI: 1.33–1.46), high-density lipoprotein cholesterol (OR = 0.12, 95%CI: 0.06–0.23), triglycerides (OR = 1.52, 95%CI: 1.31–1.76), alanine aminotransferase (OR = 0.98, 95%CI: 0.97–1.00), γ-glutamyltransferase (OR = 1.00, 95%CI: 1.00–1.01), and glycated hemoglobin (OR = 1.31, 95%CI: 1.08–1.59) were independently associated with MS. The prevalence of MS was 16.8% in Qianjiang. Female sex, kidney diseases, alanine aminotransferase, and γ-glutamyltransferase were independent risk factors for MS. Lippincott Williams & Wilkins 2020-08-28 /pmc/articles/PMC7458173/ /pubmed/32871873 http://dx.doi.org/10.1097/MD.0000000000021574 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle 4300
Ling, Bing
Zhao, Li
Yi, Jixiu
Cross-sectional study of the prevalence and risk factors of metabolic syndrome in a rural population of the Qianjiang area
title Cross-sectional study of the prevalence and risk factors of metabolic syndrome in a rural population of the Qianjiang area
title_full Cross-sectional study of the prevalence and risk factors of metabolic syndrome in a rural population of the Qianjiang area
title_fullStr Cross-sectional study of the prevalence and risk factors of metabolic syndrome in a rural population of the Qianjiang area
title_full_unstemmed Cross-sectional study of the prevalence and risk factors of metabolic syndrome in a rural population of the Qianjiang area
title_short Cross-sectional study of the prevalence and risk factors of metabolic syndrome in a rural population of the Qianjiang area
title_sort cross-sectional study of the prevalence and risk factors of metabolic syndrome in a rural population of the qianjiang area
topic 4300
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7458173/
https://www.ncbi.nlm.nih.gov/pubmed/32871873
http://dx.doi.org/10.1097/MD.0000000000021574
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