Literature DB >> 17363755

Relationship between metabolic risk factor clustering and cardiovascular mortality stratified by high blood glucose and obesity: NIPPON DATA90, 1990-2000.

Aya Kadota1, Atsushi Hozawa, Tomonori Okamura, Takashi Kadowak, Koshi Nakmaura, Yoshitaka Murakami, Takehito Hayakawa, Yoshikuni Kita, Akira Okayama, Yasuyuki Nakamura, Atsunori Kashiwagi, Hirotsugu Ueshima.   

Abstract

OBJECTIVE: Metabolic syndrome is diagnosed according to several criteria. Of these, some require glucose intolerance and others require obesity for the diagnosis. We investigated the relationship between metabolic risk factor clustering and cardiovascular disease (CVD) mortality stratified by high blood glucose or obesity. RESEARCH DESIGN AND METHODS: We followed 7,219 Japanese men and women without a history of CVD for 9.6 years. We defined high blood pressure, high blood glucose, high triglycerides, low HDL cholesterol, and obesity as metabolic factors. The multivariate adjusted hazard ratio (HR) for CVD mortality according to the number of clustering metabolic factors was calculated using the Cox proportional hazards model.
RESULTS: During follow-up, 173 participants died of CVD. The numbers of metabolic risk factors and CVD mortality were positively correlated (P(trend) = 0.07). The HR was obviously higher among participants with than among those without high blood glucose and clustering of > or =2 other metabolic risk factors (HR 3.67 [95% CI 1.49-9.03]). However, the risk increase was only modest in participants without high blood glucose even if they had > or =2 other metabolic risk factors (1.99 [0.93-4.28]). Conversely, metabolic risk factor clustering was related to CVD mortality irrespective of obesity.
CONCLUSIONS: Our findings suggest that glucose tolerance plays an important role in CVD mortality. Because the prevalence of nonobese participants with several metabolic risk factors was quite high and their CVD risk was high, excluding them from the diagnosis of metabolic syndrome because of the absence of obesity might overlook their risk.

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Year:  2007        PMID: 17363755     DOI: 10.2337/dc06-2074

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  38 in total

1.  Secular trends of the impact of overweight and obesity on hypertension in Japan, 1980-2010.

Authors:  Masato Nagai; Takayoshi Ohkubo; Yoshitaka Murakami; Naoyuki Takashima; Aya Kadota; Naoko Miyagawa; Yoshino Saito; Nobuo Nishi; Nagako Okuda; Yutaka Kiyohara; Hideaki Nakagawa; Yoshikazu Nakamura; Akira Fujiyoshi; Robert D Abbott; Tomonori Okamura; Akira Okayama; Hirotsugu Ueshima; Katsuyuki Miura
Journal:  Hypertens Res       Date:  2015-07-16       Impact factor: 3.872

2.  Japan Atherosclerosis Society (JAS) Guidelines for Prevention of Atherosclerotic Cardiovascular Diseases 2017.

Authors:  Makoto Kinoshita; Koutaro Yokote; Hidenori Arai; Mami Iida; Yasushi Ishigaki; Shun Ishibashi; Seiji Umemoto; Genshi Egusa; Hirotoshi Ohmura; Tomonori Okamura; Shinji Kihara; Shinji Koba; Isao Saito; Tetsuo Shoji; Hiroyuki Daida; Kazuhisa Tsukamoto; Juno Deguchi; Seitaro Dohi; Kazushige Dobashi; Hirotoshi Hamaguchi; Masumi Hara; Takafumi Hiro; Sadatoshi Biro; Yoshio Fujioka; Chizuko Maruyama; Yoshihiro Miyamoto; Yoshitaka Murakami; Masayuki Yokode; Hiroshi Yoshida; Hiromi Rakugi; Akihiko Wakatsuki; Shizuya Yamashita
Journal:  J Atheroscler Thromb       Date:  2018-08-22       Impact factor: 4.928

3.  HIV infection, cardiovascular disease risk factor profile, and risk for acute myocardial infarction.

Authors:  Anne-Lise Paisible; Chung-Chou H Chang; Kaku A So-Armah; Adeel A Butt; David A Leaf; Matthew Budoff; David Rimland; Roger Bedimo; Matthew B Goetz; Maria C Rodriguez-Barradas; Heidi M Crane; Cynthia L Gibert; Sheldon T Brown; Hilary A Tindle; Alberta L Warner; Charles Alcorn; Melissa Skanderson; Amy C Justice; Matthew S Freiberg
Journal:  J Acquir Immune Defic Syndr       Date:  2015-02-01       Impact factor: 3.731

4.  A Single Motivational Lecture Can Promote Modest Weight Loss: A Randomized Controlled Trial.

Authors:  Yoshio Nakata; Hiroyuki Sasai; Takehiko Tsujimoto; Koichi Hashimoto; Hiroyuki Kobayashi
Journal:  Obes Facts       Date:  2020-04-14       Impact factor: 3.942

5.  The association between obesity and acute myocardial infarction is age- and gender-dependent in a Japanese population.

Authors:  Eiji Oda; Masayuki Goto; Hirooki Matsushita; Ken Takarada; Makoto Tomita; Atsushi Saito; Koichi Fuse; Satoru Fujita; Yoshio Ikeda; Hitoshi Kitazawa; Minoru Takahashi; Masahito Sato; Masaaki Okabe; Yoshifusa Aizawa
Journal:  Heart Vessels       Date:  2012-09-14       Impact factor: 2.037

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

Authors:  T Suzuki; Z Zeng; B Zhao; Z Wei; M Tanabe; T Shimbo; H Kajio; N Kato; M Naruse
Journal:  J Endocrinol Invest       Date:  2016-08-29       Impact factor: 4.256

7.  Population attributable fraction of smoking and metabolic syndrome on cardiovascular disease mortality in Japan: a 15-year follow up of NIPPON DATA90.

Authors:  Naoyuki Takashima; Katsuyuki Miura; Atsushi Hozawa; Aya Kadota; Tomonori Okamura; Yasuyuki Nakamura; Takehito Hayakawa; Nagako Okuda; Akira Fujiyoshi; Shin-Ya Nagasawa; Takashi Kadowaki; Yoshitaka Murakami; Yoshikuni Kita; Akira Okayama; Hirotsugu Ueshima
Journal:  BMC Public Health       Date:  2010-06-03       Impact factor: 3.295

8.  Triglycerides and cardiovascular risk.

Authors:  K E L Harchaoui; M E Visser; J J P Kastelein; E S Stroes; G M Dallinga-Thie
Journal:  Curr Cardiol Rev       Date:  2009-08

9.  High glucose concentrations in peritoneal dialysate are associated with all-cause and cardiovascular disease mortality in continuous ambulatory peritoneal dialysis patients.

Authors:  Yueqiang Wen; Qunying Guo; Xiao Yang; Xianfeng Wu; Shaozhen Feng; Jiaqing Tan; Ricong Xu; Xueqing Yu
Journal:  Perit Dial Int       Date:  2013-12-01       Impact factor: 1.756

10.  A cross-sectional relationship between vital capacity and metabolic syndrome and between vital capacity and diabetes in a sample Japanese population.

Authors:  Eiji Oda; Ryu Kawai
Journal:  Environ Health Prev Med       Date:  2009-07-22       Impact factor: 3.674

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