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

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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.

著者

Juri Matsuoka Rina Minohara Yuko Furuya Kota Fukai Haruna Hirosato Naoto Ito Kiminori Odagami Tomohisa Nagata Masako Nagata Yuichi Kobayashi Koji Mori

出版者

Japan Society for Occupational Health

雑誌

Environmental and Occupational Health Practice (ISSN:24344931)

巻号頁・発行日

vol.3, no.1, pp.2021-0001-FS, 2021 (Released:2021-09-25)

参考文献数

10

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Objectives: To identify what types of information were useful and/or difficult to obtain for occupational physicians during the COVID-19 epidemic, and how information should be provided to help occupational physicians in the event of future outbreaks of emerging infectious diseases. Methods: The list was developed by categorizing information about COVID-19 delivered by researchers to a group of occupational physicians after the COVID-19 outbreak. We created a survey and asked the group about the usefulness and ease of obtaining each type of information. Results: In total, 79.1–100% of the occupational physicians said that each type of information was “Useful”. Information on the nature of the virus; clinical course, testing, and treatment; infection prevention measures; regulations in Japan; immigration restrictions in Japan; and guidelines were all considered useful by more than 95%, as was information about the introduction of information aggregation websites by public institutions, academic societies, experts, and others, and sharing of case studies by information distribution group members. These last two items also had a high percentage of respondents who said that they “only obtained the information because it was distributed this way”. Conclusions: Constructing a system for automatic distribution of information that is useful to occupational physicians and difficult to obtain elsewhere may make it easier for occupational physicians to respond more smoothly to emerging infectious disease outbreaks within a company.