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Gender discrepancy of incidence and risk factors of metabolic syndrome among rural Chinese from 2012–2013 to 2015–2017

BACKGROUND: We reported a relatively high rate of MetS in rural Northeast residents in 2012–2013. Many strategies like health knowledge propagation and lifestyle modification have been taken to help rural residents decrease metabolic disorders. Hence, we held the present follow-up study in order to...

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Autores principales: Yu, Shasha, Guo, Xiaofan, Li, GuangXiao, Yang, Hongmei, Sun, Guozhe, Zheng, Liqiang, Sun, Yingxian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268361/
https://www.ncbi.nlm.nih.gov/pubmed/32514317
http://dx.doi.org/10.1186/s13098-020-00542-2
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author Yu, Shasha
Guo, Xiaofan
Li, GuangXiao
Yang, Hongmei
Sun, Guozhe
Zheng, Liqiang
Sun, Yingxian
author_facet Yu, Shasha
Guo, Xiaofan
Li, GuangXiao
Yang, Hongmei
Sun, Guozhe
Zheng, Liqiang
Sun, Yingxian
author_sort Yu, Shasha
collection PubMed
description BACKGROUND: We reported a relatively high rate of MetS in rural Northeast residents in 2012–2013. Many strategies like health knowledge propagation and lifestyle modification have been taken to help rural residents decrease metabolic disorders. Hence, we held the present follow-up study in order to figure the changes of metabolic parameters and the possible reasons together with the evaluation of MetS incidence and associated risk factors. METHODS: A population-based sample of 8147 rural Northeast Chinese residents aged ≥ 35 years at baseline were followed up from 2012–2013 to 2015–2017. MetS was diagnosed following the unify criteria in 2009 using the Asian specific criteria. RESULTS: Among residents with MetS at baseline, value of systolic, diastolic blood pressure, total cholesterol, HDL-C decreased while waist circumference increased in both genders in follow-up. Discrepancy of trend in body mass index, LDL-C and estimated GFR existed between male and female. Besides, triglyceride increased, and fast glucose decreased in female only. The alterations of dietary pattern might be accountable for those changes. Among residents without MetS at baseline, the cumulative incidence of newly diagnosed MetS was 24.0% (25.8% for male; 22.3% for female). As the number of metabolic disorders increased at baseline, the incidence of MetS also increased (zero metabolic disorder: 8.3%; one metabolic disorder: 17.1%; two metabolic disorders: 35.4%). In male residents, bad living habits like smoking and drinking were associated with increasing risk of Mets while in female, higher risk of MetS was more likely relevant to dietary pattern. CONCLUSION: Metabolic parameters changes during the past years and seem to be associated with alteration of diet pattern. Incidence of MetS still high among rural Northeast Chinese. The risk factors of higher incidence of MetS show gender discrepancy which make the prophylaxis and control of MetS more effective and directive in rural residents.
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spelling pubmed-72683612020-06-07 Gender discrepancy of incidence and risk factors of metabolic syndrome among rural Chinese from 2012–2013 to 2015–2017 Yu, Shasha Guo, Xiaofan Li, GuangXiao Yang, Hongmei Sun, Guozhe Zheng, Liqiang Sun, Yingxian Diabetol Metab Syndr Research BACKGROUND: We reported a relatively high rate of MetS in rural Northeast residents in 2012–2013. Many strategies like health knowledge propagation and lifestyle modification have been taken to help rural residents decrease metabolic disorders. Hence, we held the present follow-up study in order to figure the changes of metabolic parameters and the possible reasons together with the evaluation of MetS incidence and associated risk factors. METHODS: A population-based sample of 8147 rural Northeast Chinese residents aged ≥ 35 years at baseline were followed up from 2012–2013 to 2015–2017. MetS was diagnosed following the unify criteria in 2009 using the Asian specific criteria. RESULTS: Among residents with MetS at baseline, value of systolic, diastolic blood pressure, total cholesterol, HDL-C decreased while waist circumference increased in both genders in follow-up. Discrepancy of trend in body mass index, LDL-C and estimated GFR existed between male and female. Besides, triglyceride increased, and fast glucose decreased in female only. The alterations of dietary pattern might be accountable for those changes. Among residents without MetS at baseline, the cumulative incidence of newly diagnosed MetS was 24.0% (25.8% for male; 22.3% for female). As the number of metabolic disorders increased at baseline, the incidence of MetS also increased (zero metabolic disorder: 8.3%; one metabolic disorder: 17.1%; two metabolic disorders: 35.4%). In male residents, bad living habits like smoking and drinking were associated with increasing risk of Mets while in female, higher risk of MetS was more likely relevant to dietary pattern. CONCLUSION: Metabolic parameters changes during the past years and seem to be associated with alteration of diet pattern. Incidence of MetS still high among rural Northeast Chinese. The risk factors of higher incidence of MetS show gender discrepancy which make the prophylaxis and control of MetS more effective and directive in rural residents. BioMed Central 2020-06-03 /pmc/articles/PMC7268361/ /pubmed/32514317 http://dx.doi.org/10.1186/s13098-020-00542-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research
Yu, Shasha
Guo, Xiaofan
Li, GuangXiao
Yang, Hongmei
Sun, Guozhe
Zheng, Liqiang
Sun, Yingxian
Gender discrepancy of incidence and risk factors of metabolic syndrome among rural Chinese from 2012–2013 to 2015–2017
title Gender discrepancy of incidence and risk factors of metabolic syndrome among rural Chinese from 2012–2013 to 2015–2017
title_full Gender discrepancy of incidence and risk factors of metabolic syndrome among rural Chinese from 2012–2013 to 2015–2017
title_fullStr Gender discrepancy of incidence and risk factors of metabolic syndrome among rural Chinese from 2012–2013 to 2015–2017
title_full_unstemmed Gender discrepancy of incidence and risk factors of metabolic syndrome among rural Chinese from 2012–2013 to 2015–2017
title_short Gender discrepancy of incidence and risk factors of metabolic syndrome among rural Chinese from 2012–2013 to 2015–2017
title_sort gender discrepancy of incidence and risk factors of metabolic syndrome among rural chinese from 2012–2013 to 2015–2017
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268361/
https://www.ncbi.nlm.nih.gov/pubmed/32514317
http://dx.doi.org/10.1186/s13098-020-00542-2
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