Cargando…
Gender discrepancy in the predictive effect of metabolic syndrome and its components on newly onset cardiovascular disease in elderly from rural China
BACKGROUND: This study aimed to estimate whether metabolic syndrome (MetS) and its components could be used to predict cardiovascular disease (CVD) in a longitudinal analysis in a rural elderly Chinese population. METHOD: At baseline during 2012–2013, a total of 2486 elderly from rural Chinese were...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8464148/ https://www.ncbi.nlm.nih.gov/pubmed/34563137 http://dx.doi.org/10.1186/s12877-021-02393-6 |
_version_ | 1784572561744461824 |
---|---|
author | Yu, Shasha Guo, Xiaofan Li, GuangXiao Yang, Hongmei Zheng, Liqiang Sun, Yingxian |
author_facet | Yu, Shasha Guo, Xiaofan Li, GuangXiao Yang, Hongmei Zheng, Liqiang Sun, Yingxian |
author_sort | Yu, Shasha |
collection | PubMed |
description | BACKGROUND: This study aimed to estimate whether metabolic syndrome (MetS) and its components could be used to predict cardiovascular disease (CVD) in a longitudinal analysis in a rural elderly Chinese population. METHOD: At baseline during 2012–2013, a total of 2486 elderly from rural Chinese were enrolled and were followed up during 2015–2017. Stroke and coronary heart disease (CHD) were included in CVD and were diagnosed by clinicians. The National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III), the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) and the International Diabetes Federation (IDF) criteria were used to define MetS separately. RESULT: Hazard ratios adjusting for CHD, stroke and CVD in those with MetS using the NCEP ATP III criteria in females were 1.27 (95 % CI 0.73, 2.21), 1.54 (95 % CI 0.99, 2.40) and 1.45 (95 % CI 1.00, 2.10), respectively; 1.33 (95 % CI 0.77, 2.32), 1.44 (95 % CI 0.92, 2.25) and 1.36 (95 % CI 0.94, 1.97), respectively, with the AHA/NHLBI criteria; and 1.10 (95 % CI 0.89,1.36), 1.62 (95 % CI 1.03, 2.55) and 1.36 (95 % CI 0.93, 1.97), respectively, with the IDF criteria. Additionally, abdominal obesity using the AHA/NHLBI criteria was significantly associated with the incidence of stroke (HR: 1.60; 95 % CI 1.01, 2.52). However, among rural elderly males, neither MetS nor its components predicted new-onset CVD. CONCLUSIONS: MetS is correlated with high incidence of CVD among rural elderly female, and only using the NCEP ATP III criteria to define MetS could make the incidence of CVD obvious difference. In order to reduce rural elderly CVD, effective measures to prevent, diagnose, and treat MetS should be enacted in a timely manner, especially among females. |
format | Online Article Text |
id | pubmed-8464148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84641482021-09-27 Gender discrepancy in the predictive effect of metabolic syndrome and its components on newly onset cardiovascular disease in elderly from rural China Yu, Shasha Guo, Xiaofan Li, GuangXiao Yang, Hongmei Zheng, Liqiang Sun, Yingxian BMC Geriatr Research Article BACKGROUND: This study aimed to estimate whether metabolic syndrome (MetS) and its components could be used to predict cardiovascular disease (CVD) in a longitudinal analysis in a rural elderly Chinese population. METHOD: At baseline during 2012–2013, a total of 2486 elderly from rural Chinese were enrolled and were followed up during 2015–2017. Stroke and coronary heart disease (CHD) were included in CVD and were diagnosed by clinicians. The National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III), the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) and the International Diabetes Federation (IDF) criteria were used to define MetS separately. RESULT: Hazard ratios adjusting for CHD, stroke and CVD in those with MetS using the NCEP ATP III criteria in females were 1.27 (95 % CI 0.73, 2.21), 1.54 (95 % CI 0.99, 2.40) and 1.45 (95 % CI 1.00, 2.10), respectively; 1.33 (95 % CI 0.77, 2.32), 1.44 (95 % CI 0.92, 2.25) and 1.36 (95 % CI 0.94, 1.97), respectively, with the AHA/NHLBI criteria; and 1.10 (95 % CI 0.89,1.36), 1.62 (95 % CI 1.03, 2.55) and 1.36 (95 % CI 0.93, 1.97), respectively, with the IDF criteria. Additionally, abdominal obesity using the AHA/NHLBI criteria was significantly associated with the incidence of stroke (HR: 1.60; 95 % CI 1.01, 2.52). However, among rural elderly males, neither MetS nor its components predicted new-onset CVD. CONCLUSIONS: MetS is correlated with high incidence of CVD among rural elderly female, and only using the NCEP ATP III criteria to define MetS could make the incidence of CVD obvious difference. In order to reduce rural elderly CVD, effective measures to prevent, diagnose, and treat MetS should be enacted in a timely manner, especially among females. BioMed Central 2021-09-25 /pmc/articles/PMC8464148/ /pubmed/34563137 http://dx.doi.org/10.1186/s12877-021-02393-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Article Yu, Shasha Guo, Xiaofan Li, GuangXiao Yang, Hongmei Zheng, Liqiang Sun, Yingxian Gender discrepancy in the predictive effect of metabolic syndrome and its components on newly onset cardiovascular disease in elderly from rural China |
title | Gender discrepancy in the predictive effect of metabolic syndrome and its components on newly onset cardiovascular disease in elderly from rural China |
title_full | Gender discrepancy in the predictive effect of metabolic syndrome and its components on newly onset cardiovascular disease in elderly from rural China |
title_fullStr | Gender discrepancy in the predictive effect of metabolic syndrome and its components on newly onset cardiovascular disease in elderly from rural China |
title_full_unstemmed | Gender discrepancy in the predictive effect of metabolic syndrome and its components on newly onset cardiovascular disease in elderly from rural China |
title_short | Gender discrepancy in the predictive effect of metabolic syndrome and its components on newly onset cardiovascular disease in elderly from rural China |
title_sort | gender discrepancy in the predictive effect of metabolic syndrome and its components on newly onset cardiovascular disease in elderly from rural china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8464148/ https://www.ncbi.nlm.nih.gov/pubmed/34563137 http://dx.doi.org/10.1186/s12877-021-02393-6 |
work_keys_str_mv | AT yushasha genderdiscrepancyinthepredictiveeffectofmetabolicsyndromeanditscomponentsonnewlyonsetcardiovasculardiseaseinelderlyfromruralchina AT guoxiaofan genderdiscrepancyinthepredictiveeffectofmetabolicsyndromeanditscomponentsonnewlyonsetcardiovasculardiseaseinelderlyfromruralchina AT liguangxiao genderdiscrepancyinthepredictiveeffectofmetabolicsyndromeanditscomponentsonnewlyonsetcardiovasculardiseaseinelderlyfromruralchina AT yanghongmei genderdiscrepancyinthepredictiveeffectofmetabolicsyndromeanditscomponentsonnewlyonsetcardiovasculardiseaseinelderlyfromruralchina AT zhengliqiang genderdiscrepancyinthepredictiveeffectofmetabolicsyndromeanditscomponentsonnewlyonsetcardiovasculardiseaseinelderlyfromruralchina AT sunyingxian genderdiscrepancyinthepredictiveeffectofmetabolicsyndromeanditscomponentsonnewlyonsetcardiovasculardiseaseinelderlyfromruralchina |