Comparison of metabolic syndrome prevalence and characteristics using five different definitions in China: a population-based retrospective study

BackgroundMetabolic syndrome (MetS) is on the rise in developing countries and is characterized by a series of indications of metabolic disturbance. However, the prevalence of MetS varies under different definitions. The study aimed to compare five definitions of MetS in the China adult population,...

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Main Authors: Keli Ma, Haiyang Liu, Leilei Guo, Jinlong Li, Yunxiao Lei, Xiaoping Li, Lu Sun, Liu Yang, Ting Yuan, Congzhi Wang, Dongmei Zhang, Jing Li, Mingming Liu, Ying Hua, Lin Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Public Health
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Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2024.1333910/full
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author Keli Ma
Haiyang Liu
Leilei Guo
Jinlong Li
Yunxiao Lei
Xiaoping Li
Lu Sun
Liu Yang
Ting Yuan
Congzhi Wang
Dongmei Zhang
Jing Li
Mingming Liu
Ying Hua
Lin Zhang
author_facet Keli Ma
Haiyang Liu
Leilei Guo
Jinlong Li
Yunxiao Lei
Xiaoping Li
Lu Sun
Liu Yang
Ting Yuan
Congzhi Wang
Dongmei Zhang
Jing Li
Mingming Liu
Ying Hua
Lin Zhang
author_sort Keli Ma
collection DOAJ
description BackgroundMetabolic syndrome (MetS) is on the rise in developing countries and is characterized by a series of indications of metabolic disturbance. However, the prevalence of MetS varies under different definitions. The study aimed to compare five definitions of MetS in the China adult population, to explore their prevalence, characteristics and agreement.MethodsThe data for the retrospective study came from the China Health and Retirement Longitudinal Study (CHARLS), consisting of 9,588 participants (≥45). MetS definitions from International Diabetes Federation (IDF) (2006), National Cholesterol Education Program Adult Treatment Panel III (ATPIII) (2005), National Cholesterol Education Program Adult Treatment Panel III (ATPIII) (2001), Chinese Diabetes society (CDS) (2004) and the World Health Organization (WHO) (1999). We used binary and multivariable logistic analysis to explore factors connected with MetS.ResultsThe five definitions of MetS led to different prevalence of MetS:34.52% by IDF (2006), 38.63% by ATP (2005), 25.94% by ATP (2001), 26.31% by CDS (2004), 21.57% by WHO (1999). According to the definition of IDF (2006) (22.32% vs. 45.06%), ATPIII (2005) definition (27.99% vs. 47.82%), ATPIII (2001) definition (15.37% vs. 35.07%), CDS (2004) definition (19.96% vs. 31.80%), and WHO (1999) definition (17.44% vs. 25.14%), the prevalence of MetS in men was low but in women was high. The agreement between the five definitions for men was good except for the IDF (2006) definition and ATPIII (2001) definition (kappa = 0.51), with kappa values from 0.64 to 0.85. For women, the agreement between the five definitions was good ranging from 0.67 to 0.95, however, except for the definition of CDS (2004) and the definition of IDF (2006) (kappa = 0.44), the definition of WHO (1999) and the definition of IDF (2006) (kappa = 0.55), and the definition of WHO (1999) and the definition of ATPIII (2005) (kappa = 0.54). Binary logistic analysis indicated that although the impact and relevance varied by sex and definition, age, education, marital status, current residence, current smoking, alcohol using, taking activities and number of chronic diseases were factors connected to MetS.Conclusionthe prevalence and characteristics of the five definitions of MetS are different in the Chinese population. Therefore, it is vital to use the same definition for a country to diagnose MetS. On the other side, a lower prevalence in men than in women and the consistency of five MetS definitions are good in men but relatively poor in women.
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spelling doaj.art-aefbd4a09b99457e9fe08134f303b2e92024-02-19T04:58:06ZengFrontiers Media S.A.Frontiers in Public Health2296-25652024-02-011210.3389/fpubh.2024.13339101333910Comparison of metabolic syndrome prevalence and characteristics using five different definitions in China: a population-based retrospective studyKeli Ma0Haiyang Liu1Leilei Guo2Jinlong Li3Yunxiao Lei4Xiaoping Li5Lu Sun6Liu Yang7Ting Yuan8Congzhi Wang9Dongmei Zhang10Jing Li11Mingming Liu12Ying Hua13Lin Zhang14Department of Graduate School, Wannan Medical College, Wuhu, Anhui, ChinaStudent Health Center, Wannan Medical College, Wuhu, Anhui, ChinaDepartment of Surgical Nursing, School of Nursing, Jinzhou Medical University, Jinzhou, Liaoning, ChinaKey Laboratory of Occupational Health and Safety for Coal Industry in Hebei Province, Department of Occupational and Environmental Health, School of Public Health, North China University of Science and Technology, Tangshan, Hebei, ChinaObstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, ChinaDepartment of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, ChinaDepartment of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, ChinaDepartment of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, ChinaObstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, ChinaDepartment of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, ChinaDepartment of Pediatric Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, ChinaDepartment of Surgical Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, ChinaDepartment of Surgical Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China0Rehabilitation Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, ChinaDepartment of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, ChinaBackgroundMetabolic syndrome (MetS) is on the rise in developing countries and is characterized by a series of indications of metabolic disturbance. However, the prevalence of MetS varies under different definitions. The study aimed to compare five definitions of MetS in the China adult population, to explore their prevalence, characteristics and agreement.MethodsThe data for the retrospective study came from the China Health and Retirement Longitudinal Study (CHARLS), consisting of 9,588 participants (≥45). MetS definitions from International Diabetes Federation (IDF) (2006), National Cholesterol Education Program Adult Treatment Panel III (ATPIII) (2005), National Cholesterol Education Program Adult Treatment Panel III (ATPIII) (2001), Chinese Diabetes society (CDS) (2004) and the World Health Organization (WHO) (1999). We used binary and multivariable logistic analysis to explore factors connected with MetS.ResultsThe five definitions of MetS led to different prevalence of MetS:34.52% by IDF (2006), 38.63% by ATP (2005), 25.94% by ATP (2001), 26.31% by CDS (2004), 21.57% by WHO (1999). According to the definition of IDF (2006) (22.32% vs. 45.06%), ATPIII (2005) definition (27.99% vs. 47.82%), ATPIII (2001) definition (15.37% vs. 35.07%), CDS (2004) definition (19.96% vs. 31.80%), and WHO (1999) definition (17.44% vs. 25.14%), the prevalence of MetS in men was low but in women was high. The agreement between the five definitions for men was good except for the IDF (2006) definition and ATPIII (2001) definition (kappa = 0.51), with kappa values from 0.64 to 0.85. For women, the agreement between the five definitions was good ranging from 0.67 to 0.95, however, except for the definition of CDS (2004) and the definition of IDF (2006) (kappa = 0.44), the definition of WHO (1999) and the definition of IDF (2006) (kappa = 0.55), and the definition of WHO (1999) and the definition of ATPIII (2005) (kappa = 0.54). Binary logistic analysis indicated that although the impact and relevance varied by sex and definition, age, education, marital status, current residence, current smoking, alcohol using, taking activities and number of chronic diseases were factors connected to MetS.Conclusionthe prevalence and characteristics of the five definitions of MetS are different in the Chinese population. Therefore, it is vital to use the same definition for a country to diagnose MetS. On the other side, a lower prevalence in men than in women and the consistency of five MetS definitions are good in men but relatively poor in women.https://www.frontiersin.org/articles/10.3389/fpubh.2024.1333910/fullmetabolic syndromeprevalencecharacteristicsChinaretrospective study
spellingShingle Keli Ma
Haiyang Liu
Leilei Guo
Jinlong Li
Yunxiao Lei
Xiaoping Li
Lu Sun
Liu Yang
Ting Yuan
Congzhi Wang
Dongmei Zhang
Jing Li
Mingming Liu
Ying Hua
Lin Zhang
Comparison of metabolic syndrome prevalence and characteristics using five different definitions in China: a population-based retrospective study
Frontiers in Public Health
metabolic syndrome
prevalence
characteristics
China
retrospective study
title Comparison of metabolic syndrome prevalence and characteristics using five different definitions in China: a population-based retrospective study
title_full Comparison of metabolic syndrome prevalence and characteristics using five different definitions in China: a population-based retrospective study
title_fullStr Comparison of metabolic syndrome prevalence and characteristics using five different definitions in China: a population-based retrospective study
title_full_unstemmed Comparison of metabolic syndrome prevalence and characteristics using five different definitions in China: a population-based retrospective study
title_short Comparison of metabolic syndrome prevalence and characteristics using five different definitions in China: a population-based retrospective study
title_sort comparison of metabolic syndrome prevalence and characteristics using five different definitions in china a population based retrospective study
topic metabolic syndrome
prevalence
characteristics
China
retrospective study
url https://www.frontiersin.org/articles/10.3389/fpubh.2024.1333910/full
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