- 著者
- Ayako Kurihara Tomonori Okamura Daisuke Sugiyama Aya Higashiyama Makoto Watanabe Nagako Okuda Aya Kadota Naoko Miyagawa Akira Fujiyoshi Katsushi Yoshita Takayoshi Ohkubo Akira Okayama Katsuyuki Miura Hirotsugu Ueshima for the NIPPON DATA90 Research Group
- 出版者
- Japan Atherosclerosis Society
- 雑誌
- Journal of Atherosclerosis and Thrombosis (ISSN:13403478)
- 巻号頁・発行日
- pp.44172, (Released:2018-08-09)
- 参考文献数
- 36
- 被引用文献数
- 19
Aim: To examine the relationship between the intake of dietary vegetable protein and CVD mortality in a 15-year follow-up study of a representative sample of the Japanese population.Methods: A total of 7,744 participants aged 30 years or older (3,224 males and 4,520 females) who were free of CVD at baseline were included in this analysis. Vegetable protein intake (% energy) was assessed using a three-day semi-weighed dietary record at baseline. Multivariable-adjusted hazard ratios (HRs) were calculated using Cox's proportional hazards model after adjusting for confounding factors.Results: The total person-years studied were 107,988 with a mean follow-up period of 13.9 years. There were 1,213 deaths during the follow-up period, among which 354 (29.2%) were due to CVD. Vegetable protein intake was associated inversely with CVD and cerebral hemorrhage mortality, with the HRs for a 1% energy increment in vegetable protein intake being 0.86 (95% CI, 0.75–0.99) and 0.58 (95% CI, 0.35–0.95), respectively. In the subgroup analysis of participants with or without hypertension, the inverse association between vegetable protein intake and CVD mortality was more evident in the nonhypertensive group, with the HRs for CVD and stroke being 0.68 (95% CI, 0.50–0.94) and 0.50 (95% CI, 0.30–0.84), respectively.Conclusions: Vegetable protein intake may prevent future CVD, particularly in nonhypertensive subjects in the Japanese population. However, further studies are necessary to examine the biological mechanisms of this effect.
- 著者
- Sei Harada Miho Iida Naoko Miyagawa Aya Hirata Kazuyo Kuwabara Minako Matsumoto Tomonori Okamura Shun Edagawa Yoko Kawada Atsuko Miyake Ryota Toki Miki Akiyama Atsuki Kawai Daisuke Sugiyama Yasunori Sato Ryo Takemura Kota Fukai Yoshiki Ishibashi Suzuka Kato Ayako Kurihara Mizuki Sata Takuma Shibuki Ayano Takeuchi Shun Kohsaka Mitsuaki Sawano Satoshi Shoji Yoshikane Izawa Masahiro Katsumata Koichi Oki Shinichi Takahashi Tsubasa Takizawa Hiroshi Maruya Yuji Nishiwaki Ryo Kawasaki Akiyoshi Hirayama Takamasa Ishikawa Rintaro Saito Asako Sato Tomoyoshi Soga Masahiro Sugimoto Masaru Tomita Shohei Komaki Hideki Ohmomo Kanako Ono Yayoi Otsuka-Yamasaki Atsushi Shimizu Yoichi Sutoh Atsushi Hozawa Kengo Kinoshita Seizo Koshiba Kazuki Kumada Soichi Ogishima Mika Sakurai-Yageta Gen Tamiya Toru Takebayashi
- 出版者
- Japan Epidemiological Association
- 雑誌
- Journal of Epidemiology (ISSN:09175040)
- 巻号頁・発行日
- pp.JE20230192, (Released:2024-01-06)
- 参考文献数
- 40
- 被引用文献数
- 1
The Tsuruoka Metabolomics Cohort Study (TMCS) is an ongoing population-based cohort study being conducted in the rural area of Yamagata Prefecture, Japan. This study aimed to enhance the precision prevention of multi-factorial, complex diseases, including non-communicable and aging-associated diseases, by improving risk stratification and prediction measures. At baseline, 11,002 participants aged 35–74 years were recruited in Tsuruoka City, Yamagata Prefecture, Japan, between 2012 and 2015, with an ongoing follow-up survey. Participants underwent various measurements, examinations, tests, and questionnaires on their health, lifestyle, and social factors. This study used an integrative approach with deep molecular profiling to identify potential biomarkers linked to phenotypes that underpin disease pathophysiology and provide better mechanistic insights into social health determinants. The TMCS incorporates multi-omics data, including genetic and metabolomic analyses of 10,933 participants and comprehensive data collection ranging from physical, psychological, behavioral, and social to biological data. The metabolome is used as a phenotypic probe because it is sensitive to changes in physiological and external conditions. The TMCS focuses on collecting outcomes for cardiovascular disease, cancer incidence and mortality, disability, functional decline due to aging and disease sequelae, and the variation in health status within the body represented by omics analysis that lies between exposure and disease. It contains several sub-studies on aging, heated tobacco products, and women's health. This study is notable for its robust design, high participation rate (89%), and long-term repeated surveys. Moreover, it contributes to precision prevention in Japan and East Asia as a well-established multi-omics platform.