Evidence map›Paper›PMID 38439751›Full record

ArticleFrontiers in public health2024

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

Keli Ma, Haiyang Liu, Leilei Guo, Jinlong Li, Yunxiao Lei, Xiaoping Li, Lu Sun, Liu Yang, Ting Yuan, Congzhi Wang and 5 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Keli MaDepartment of Graduate School, Wannan Medical College, Wuhu, Anhui, China.
Haiyang LiuStudent Health Center, Wannan Medical College, Wuhu, Anhui, China.
Leilei GuoDepartment of Surgical Nursing, School of Nursing, Jinzhou Medical University, Jinzhou, Liaoning, China.
Jinlong LiKey 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, China.
Yunxiao LeiObstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China.
Xiaoping LiDepartment of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China.
Lu SunDepartment of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China.
Liu YangDepartment of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China.
Ting YuanObstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China.
Congzhi WangDepartment of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China.
Dongmei ZhangDepartment of Pediatric Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China.
Jing LiDepartment of Surgical Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China.
Mingming LiuDepartment of Surgical Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China.
Ying HuaRehabilitation Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China.
Lin ZhangDepartment of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China.

Funding

China Health and Retirement Longitudinal StudyR01AG037031 · NIA · PEKING UNIVERSITY · PI STRAUSS, JOHN A, WANG, YAFENG · 2010 to 2024
$15.1M
Studies of health, retirement and living arrangements of the aging population inR03TW008358 · FIC · PEKING UNIVERSITY · PI STRAUSS, JOHN A, ZHAO, YAOHUI · 2009 to 2011
$152k
FIC NIH HHS R03 TW008358NIA NIH HHS R01 AG037031
6 · The paper itself

Abstract

Background: Metabolic 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. Methods: The 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. Results: The 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. Conclusion: the 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.

Indexed as

Diabetes MellitusMetabolic SyndromeAdenosine TriphosphateAdultChinaCholesterolFemaleHumansLongitudinal StudiesMalePrevalenceRetrospective StudiesAdenosine TriphosphateCholesterolcharacteristicsChinametabolic syndromeprevalenceretrospective study

Identifiers

PMID38439751
PMCPMC10909998

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