Cargando…

The Metabolic Syndrome among Postmenopausal Women in Rural Canton: Prevalence, Associated Factors, and the Optimal Obesity and Atherogenic Indices

OBJECTIVES: This research aimed to (i) determine the prevalence of metabolic syndrome (MetS) and its components; (ii) assess factors associated with MetS, and (iii) define optimal ethnic-specific cutoffs of obesity- and atherogenic-based markers to predict MetS among postmenopausal women in rural Ca...

Descripción completa

Detalles Bibliográficos
Autores principales: Liang, Huiying, Chen, Xi, Chen, Qiaozhu, Wang, Yulin, Wu, Xueji, Li, Yaohui, Pan, Bingying, Liu, Huazhang, Li, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3767690/
https://www.ncbi.nlm.nih.gov/pubmed/24040183
http://dx.doi.org/10.1371/journal.pone.0074121
_version_ 1782283690360963072
author Liang, Huiying
Chen, Xi
Chen, Qiaozhu
Wang, Yulin
Wu, Xueji
Li, Yaohui
Pan, Bingying
Liu, Huazhang
Li, Ming
author_facet Liang, Huiying
Chen, Xi
Chen, Qiaozhu
Wang, Yulin
Wu, Xueji
Li, Yaohui
Pan, Bingying
Liu, Huazhang
Li, Ming
author_sort Liang, Huiying
collection PubMed
description OBJECTIVES: This research aimed to (i) determine the prevalence of metabolic syndrome (MetS) and its components; (ii) assess factors associated with MetS, and (iii) define optimal ethnic-specific cutoffs of obesity- and atherogenic-based markers to predict MetS among postmenopausal women in rural Canton. METHODOLOGY/PRINCIPAL FINDINGS: The Rural Canton Diabetes and Metabolic Disorders Study, a population based cross-sectional study, was conducted during 2011–2012 in Canton. In person interviews, blood glucose and lipid measurements were completed for 4,706 postmenopausal women who did not receive hormone replacement therapy. MetS was diagnosed using criteria of the Joint-Interim-Statement (JIS), the International-Diabetes-Federation (IDF) and the Modified-Third-Adult-Treatment-Panel (M-ATPIII). Age-standardized prevalence of MetS was 38.4%, 28.8%, and 37.1% according to JIS, IDF, and M-ATPIII criteria, respectively. Excellent agreement was observed between three definitions (κ≥0.79), in particular between JIS and ATPIII (κ = 0.98, 95%CI: 0.97–0.98). Factors positively associated with MetS were living in Southern Canton, personal income, current smoking, higher BMI, and family history of cardiovascular disease. However, regular leisure-time physical activity can have protective effects. The optimal cutoff values for waist-circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio(WHtR), BMI, HDL-cholesterol to total cholesterol ratio (HDL/TC), HDL-cholesterol to LDL-cholesterol ratio (HDL/LDL), and triglyceride to HDL-cholesterol ratio (TG/HDL) that predicted the presence of MetS were 79.5 cm, 0.86, 0.53, 22.47 kg/m(2), 0.33, 0.68, and 0.88, respectively. CONCLUSIONS: This study highlights the importance of MetS among postmenopausal women in rural Canton. Our findings contribute to help selecting Cantonese-specific markers to predict MetS and support the need to establish educational program for promoting healthy-lifestyles among this population.
format Online
Article
Text
id pubmed-3767690
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-37676902013-09-13 The Metabolic Syndrome among Postmenopausal Women in Rural Canton: Prevalence, Associated Factors, and the Optimal Obesity and Atherogenic Indices Liang, Huiying Chen, Xi Chen, Qiaozhu Wang, Yulin Wu, Xueji Li, Yaohui Pan, Bingying Liu, Huazhang Li, Ming PLoS One Research Article OBJECTIVES: This research aimed to (i) determine the prevalence of metabolic syndrome (MetS) and its components; (ii) assess factors associated with MetS, and (iii) define optimal ethnic-specific cutoffs of obesity- and atherogenic-based markers to predict MetS among postmenopausal women in rural Canton. METHODOLOGY/PRINCIPAL FINDINGS: The Rural Canton Diabetes and Metabolic Disorders Study, a population based cross-sectional study, was conducted during 2011–2012 in Canton. In person interviews, blood glucose and lipid measurements were completed for 4,706 postmenopausal women who did not receive hormone replacement therapy. MetS was diagnosed using criteria of the Joint-Interim-Statement (JIS), the International-Diabetes-Federation (IDF) and the Modified-Third-Adult-Treatment-Panel (M-ATPIII). Age-standardized prevalence of MetS was 38.4%, 28.8%, and 37.1% according to JIS, IDF, and M-ATPIII criteria, respectively. Excellent agreement was observed between three definitions (κ≥0.79), in particular between JIS and ATPIII (κ = 0.98, 95%CI: 0.97–0.98). Factors positively associated with MetS were living in Southern Canton, personal income, current smoking, higher BMI, and family history of cardiovascular disease. However, regular leisure-time physical activity can have protective effects. The optimal cutoff values for waist-circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio(WHtR), BMI, HDL-cholesterol to total cholesterol ratio (HDL/TC), HDL-cholesterol to LDL-cholesterol ratio (HDL/LDL), and triglyceride to HDL-cholesterol ratio (TG/HDL) that predicted the presence of MetS were 79.5 cm, 0.86, 0.53, 22.47 kg/m(2), 0.33, 0.68, and 0.88, respectively. CONCLUSIONS: This study highlights the importance of MetS among postmenopausal women in rural Canton. Our findings contribute to help selecting Cantonese-specific markers to predict MetS and support the need to establish educational program for promoting healthy-lifestyles among this population. Public Library of Science 2013-09-09 /pmc/articles/PMC3767690/ /pubmed/24040183 http://dx.doi.org/10.1371/journal.pone.0074121 Text en © 2013 Liang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Liang, Huiying
Chen, Xi
Chen, Qiaozhu
Wang, Yulin
Wu, Xueji
Li, Yaohui
Pan, Bingying
Liu, Huazhang
Li, Ming
The Metabolic Syndrome among Postmenopausal Women in Rural Canton: Prevalence, Associated Factors, and the Optimal Obesity and Atherogenic Indices
title The Metabolic Syndrome among Postmenopausal Women in Rural Canton: Prevalence, Associated Factors, and the Optimal Obesity and Atherogenic Indices
title_full The Metabolic Syndrome among Postmenopausal Women in Rural Canton: Prevalence, Associated Factors, and the Optimal Obesity and Atherogenic Indices
title_fullStr The Metabolic Syndrome among Postmenopausal Women in Rural Canton: Prevalence, Associated Factors, and the Optimal Obesity and Atherogenic Indices
title_full_unstemmed The Metabolic Syndrome among Postmenopausal Women in Rural Canton: Prevalence, Associated Factors, and the Optimal Obesity and Atherogenic Indices
title_short The Metabolic Syndrome among Postmenopausal Women in Rural Canton: Prevalence, Associated Factors, and the Optimal Obesity and Atherogenic Indices
title_sort metabolic syndrome among postmenopausal women in rural canton: prevalence, associated factors, and the optimal obesity and atherogenic indices
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3767690/
https://www.ncbi.nlm.nih.gov/pubmed/24040183
http://dx.doi.org/10.1371/journal.pone.0074121
work_keys_str_mv AT lianghuiying themetabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices
AT chenxi themetabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices
AT chenqiaozhu themetabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices
AT wangyulin themetabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices
AT wuxueji themetabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices
AT liyaohui themetabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices
AT panbingying themetabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices
AT liuhuazhang themetabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices
AT liming themetabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices
AT lianghuiying metabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices
AT chenxi metabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices
AT chenqiaozhu metabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices
AT wangyulin metabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices
AT wuxueji metabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices
AT liyaohui metabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices
AT panbingying metabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices
AT liuhuazhang metabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices
AT liming metabolicsyndromeamongpostmenopausalwomeninruralcantonprevalenceassociatedfactorsandtheoptimalobesityandatherogenicindices