Literature DB >> 27572249

Comparison of coronary heart disease risk among four diagnostic definitions of metabolic syndrome.

T Suzuki1,2, Z Zeng3, B Zhao4, Z Wei5, M Tanabe6, T Shimbo7, H Kajio8, N Kato9, M Naruse10.   

Abstract

PURPOSE: Metabolic syndrome (MetS) is now well known as one of the major risk factors for coronary heart disease (CHD). Currently, there are several methods used to define MetS. The aim of this study was to determine to what extent current MetS definition reflects CHD risk using the probability of CHD in 10 years based on Framingham risk score algorithms.
METHODS: A total of 7575 adults, aged 16-93 years (2532 men and 5043 women), were recruited. We conducted a cross-sectional health survey in China using MetS criteria from four different definitions: modified National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATP III), International Diabetes Federation (IDF), Chinese and Japanese.
RESULTS: Differences in the prevalence of MetS by each definition were small in males (22.9-25.9 %), whereas in females, MetS was three times more prevalent using the IDF definition (29.1 %) versus the Japanese definition (9.7 %). Framingham risk scores in participants with MetS were significantly higher than in those without MetS by all definition criteria (p < 0.001). The CHD risk scores for participants with MetS by each definition showed similar values in males (range 11.5-12.1 %) with no significant differences among definitions. Conversely, in females with MetS the risk score for CHD was low (range 3.5-4.3 %) by each MetS definition.
CONCLUSIONS: These findings suggest that further studies are required to establish appropriate criteria of MetS in females.

Entities:  

Keywords:  China; Framingham risk score; International Diabetes Federation (IDF); Japan; Metabolic syndrome; NCEP-ATP III

Mesh:

Substances:

Year:  2016        PMID: 27572249     DOI: 10.1007/s40618-016-0538-1

Source DB:  PubMed          Journal:  J Endocrinol Invest        ISSN: 0391-4097            Impact factor:   4.256


  36 in total

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Authors:  Luca Valenti; Paola Dongiovanni; Benedetta Maria Motta; Dorine W Swinkels; Paola Bonara; Raffaela Rametta; Larry Burdick; Cecelia Frugoni; Anna Ludovica Fracanzani; Silvia Fargion
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Authors:  Kazuo Hara; Yumi Matsushita; Momoko Horikoshi; Nobuo Yoshiike; Tetsuji Yokoyama; Heizo Tanaka; Takashi Kadowaki
Journal:  Diabetes Care       Date:  2006-05       Impact factor: 19.112

Review 5.  Prediction of first coronary events with the Framingham score: a systematic review.

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7.  An urban-rural comparison of the prevalence of the metabolic syndrome in Eastern China.

Authors:  Xiaoping Weng; Youxue Liu; Jiemin Ma; Wenjuan Wang; Gonghuan Yang; Benjamin Caballero
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8.  Proposed criteria for metabolic syndrome in Japanese based on prospective evidence: the Hisayama study.

Authors:  Yasufumi Doi; Toshiharu Ninomiya; Jun Hata; Koji Yonemoto; Hisatomi Arima; Michiaki Kubo; Yumihiro Tanizaki; Masanori Iwase; Mitsuo Iida; Yutaka Kiyohara
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9.  International Day for the Evaluation of Abdominal Obesity (IDEA): a study of waist circumference, cardiovascular disease, and diabetes mellitus in 168,000 primary care patients in 63 countries.

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10.  Impact of metabolic syndrome on the development of cardiovascular disease in a general Japanese population: the Hisayama study.

Authors:  Toshiharu Ninomiya; Michiaki Kubo; Yasufumi Doi; Koji Yonemoto; Yumihiro Tanizaki; Mahbubur Rahman; Hisatomi Arima; Kazuhiko Tsuryuya; Mitsuo Iida; Yutaka Kiyohara
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  4 in total

1.  Cardiovascular Risk Stratification in Patients with Metabolic Syndrome Without Diabetes or Cardiovascular Disease: Usefulness of Metabolic Syndrome Severity Score.

Authors:  Walter Masson; Teo Epstein; Melina Huerín; Lorenzo Martín Lobo; Graciela Molinero; Adriana Angel; Gerardo Masson; Diana Millán; Salvador De Francesca; Laura Vitagliano; Alberto Cafferata; Pablo Losada
Journal:  High Blood Press Cardiovasc Prev       Date:  2017-05-13

2.  Potential of four definitions of metabolic syndrome to discriminate individuals with different 10-year cardiovascular disease risk scores: a cross-sectional analysis of an Iranian cohort.

Authors:  Mohammad Javad Zibaeenezhad; Mehrab Sayadi; Ali Karimi-Akhormeh; Ali Ardekani; Nader Parsa; Iman Razeghian-Jahromi
Journal:  BMJ Open       Date:  2022-02-15       Impact factor: 2.692

3.  Comparison of coronary heart disease risk assessments among individuals with metabolic syndrome using three diagnostic definitions: a cross-sectional study from China.

Authors:  Xiaolin Peng; Liping Hao; Juan Zhou; Qin Gao; Jun Wang; Min Zhang; Jianping Ma; Changyi Wang; Hongen Chen
Journal:  BMJ Open       Date:  2018-10-25       Impact factor: 2.692

4.  Effect of metabolic syndrome on coronary heart disease in rural minorities of Xinjiang: a retrospective cohort study.

Authors:  Changjing Li; Jia He; Bin Wei; Xianghui Zhang; Xinping Wang; Jingyu Zhang; Kui Wang; Yunhua Hu; Lati Mu; Yizhong Yan; Jiaolong Ma; Yanpeng Song; Heng Guo; Rulin Ma; Shuxia Guo
Journal:  BMC Public Health       Date:  2020-04-25       Impact factor: 3.295

  4 in total

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