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Diabetes Care Publish Ahead of Print published online ahead of print March 15, 2007
DOI: 10.2337/dc06-2074

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Original Research

Relationship between metabolic risk factor clustering and cardiovascular mortality stratified by high blood glucose and obesity: NIPPON DATA90, 1990-99

Aya Kadota, MD1,2, Atsushi Hozawa, MD1, Tomonori Okamura, MD1, Takashi Kadowaki, MD1, Koshi Nakmaura, MD1, Yoshitaka Murakami, PhD1, Takehito Hayakawa, PhD3, Yoshikuni Kita, PhD1, Akira Okayama, MD4, Yasuyuki Nakamura, MD5, Atsunori Kashiwagi, MD2, Hirotsugu Ueshima, MD for the NIPPON DATA Research Group1

1Department of Health Science, Shiga University of Medical Science, Otsu, Japan
2Department of Internal Medicine, Shiga University of Medical Science, Otsu, Japan
3Department of Public Health Science, Shimane University, Izumo, Japan
4Department of Preventive Cardiology, National Cardiovascular Center, Suita, Japan
5Cardiovascular Epidemiology, Kyoto Women's University

ayakd{at}belle.shiga-med.ac.jp

ABSTRACT

Objective: Metabolic syndrome (MS) is diagnosed according to several criteria. Among them, some require glucose intolerance and the others require obesity for diagnosing MS. 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 high-density lipoprotein 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 for trend = 0.07). The HR was obviously higher among participants with, than without high blood glucose and clustering of ≥2 other metabolic risk factors (HR = 3.67, CI, 1.49-9.03). However, the risk increase was only modest in participants without high blood glucose even if they had ≥2 other metabolic risk factors (HR = 1.99, CI, 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. Since the prevalence of non-obese participants with several metabolic risk factors was quite high and their CVD risk was high, excluding them from MS due to the absence of obesity might overlook their risk.


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