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Miyagawa N, Takashima N, Harada A, Kadota A, Kondo K, Miura K, Imaeda N, Goto C, Otonari J, Ikezaki H, Tanaka K, Shimanoe C, Nagayoshi M, Tamura T, Kubo Y, Kato Y, Koyanagi YN, Ito H, Michihata N, Nakamura Y, Tanoue S, Ibusuki R, Suzuki S, Nishiyama T, Ozaki E, Watanabe I, Kuriki K, Watanabe T, Ishizu M, Hishida A, Kita Y, Wakai K, Matsuo K. Dairy Intake and All-Cause, Cancer, and Cardiovascular Disease Mortality Risk in A Large Japanese Population: A 12-Year Follow-Up of the J-MICC Study. J Atheroscler Thromb 2025; 32:596-607. [PMID: 39537182 PMCID: PMC12055505 DOI: 10.5551/jat.65049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 09/23/2024] [Indexed: 11/16/2024] Open
Abstract
AIM We examined the association between dairy intake and all-cause, cancer, and cardiovascular disease mortality in a cohort of the general population followed up for 12 years across Japan. METHODS We conducted a longitudinal cohort study of 79,715 participants from the Japan Multi-Institutional Collaborative Cohort study (57.2% women, mean age 54.7 years old). The amount of dairy (milk and yogurt) intake was determined using a validated short-food frequency questionnaire. The hazard ratio for mortality according to sex-specific tertile of dairy intake was calculated using Cox proportional hazards regression models with adjustment for potential confounding factors and dietary factors by sex. RESULTS During the follow-up period (932,738 person-years), 3,723 participants died, including 2,088 cancer and 530 cardiovascular disease deaths. The highest tertile of total dairy intake (versus the lowest tertile) was associated with a 19% lower all-cause mortality risk (hazard ratio=0.81, 95% confidence interval: 0.70-0.92; P for trend=0.001) in women. Similarly, we observed inverse associations between milk intake and all-cause and cancer mortality risk in women, yogurt intake and cardiovascular disease risk in women, and yogurt intake and all-cause mortality risk in both sexes. CONCLUSION A higher total dairy and milk intakes in women and yogurt intake in both sexes were associated with a reduced risk of all-cause mortality in the general population across Japan during the 12-year follow-up period.
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Affiliation(s)
- Naoko Miyagawa
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
| | - Naoyuki Takashima
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Akiko Harada
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Aya Kadota
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Keiko Kondo
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Katsuyuki Miura
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Nahomi Imaeda
- Department of Nutrition, Faculty of Wellness, Shigakkan University, Aichi, Japan
| | - Chiho Goto
- Department of Health and Nutrition, School of Health and Human Life, Nagoya Bunri University, Aichi, Japan
| | - Jun Otonari
- Department of Psychosomatic Medicine Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiroaki Ikezaki
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Keitaro Tanaka
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | | | - Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yasufumi Kato
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yuriko N Koyanagi
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Nobuaki Michihata
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Shiroh Tanoue
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Rie Ibusuki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Takeshi Nishiyama
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Isao Watanabe
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Takeshi Watanabe
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Masashi Ishizu
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Asahi Hishida
- Department of Public Health, Aichi Medical University School of Medicine, Aichi, Japan
| | - Yoshikuni Kita
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - J-MICC Study Group
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
- Department of Nutrition, Faculty of Wellness, Shigakkan University, Aichi, Japan
- Department of Health and Nutrition, School of Health and Human Life, Nagoya Bunri University, Aichi, Japan
- Department of Psychosomatic Medicine Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
- Department of Pharmacy, Saga University Hospital, Saga, Japan
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
- Department of Public Health, Aichi Medical University School of Medicine, Aichi, Japan
- Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan
- Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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2
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Rach S, Sand M, Reineke A, Becher H, Greiser KH, Wolf K, Wirkner K, Schmidt CO, Schipf S, Jöckel KH, Krist L, Ahrens W, Brenner H, Castell S, Gastell S, Harth V, Holleczek B, Ittermann T, Janisch-Fabian S, Karch A, Keil T, Klett-Tammen CJ, Kluttig A, Kuß O, Leitzmann M, Lieb W, Meinke-Franze C, Michels KB, Mikolajczyk R, Moreno Velásquez I, Obi N, Övermöhle C, Peters A, Pischon T, Rospleszcz S, Schmidt B, Schulze MB, Stang A, Teismann H, Töpfer C, Wolff R, Günther K. The baseline examinations of the German National Cohort (NAKO): recruitment protocol, response, and weighting. Eur J Epidemiol 2025:10.1007/s10654-025-01219-8. [PMID: 40259125 DOI: 10.1007/s10654-025-01219-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2025] [Accepted: 03/03/2025] [Indexed: 04/23/2025]
Abstract
The German National Cohort (NAKO) is the largest population-based epidemiologic cohort study in Germany and investigates the causes of the most common chronic diseases. Between 2014 and 2019, a total of 1.3 million residents aged 20-69 years from 16 German regions were randomly selected from the general population and invited to participate following a highly standardized recruitment protocol. The overall response was 15.6% and differed considerably across study centers (7.6-30.7%). Females were more likely to participate than males (17.5% vs. 14.1%) and participation increased with age (10.2% in age group " < 29 years" up to 20.7% in age group " > 60 years"). Across all study regions, response was highest in rural areas (22.3%), followed by towns and suburbs (17.2%), and was lowest in cities (14.5%). Compared with the general population in the respective study regions, participants with low and medium education are underrepresented in the NAKO sample, while highly educated participants are overrepresented. Participants with non-German nationality and with a migration background are also underrepresented. Participants living in single households are underrepresented, while participants from larger households (2 or more persons) are overrepresented compared to the general population. Survey weights are made available to researchers along with the study data that account for the sampling design and adjust for differences in the distribution of age, sex, nationality (German vs. non-German), migration status, education, and household size.
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Affiliation(s)
- Stefan Rach
- Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany.
| | - Matthias Sand
- Department of Survey Design and Methodology, GESIS-Leibniz Institute for the Social Sciences, Mannheim, Germany
| | - Achim Reineke
- Department of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Heiko Becher
- Institute of Global Health, University Hospital Heidelberg, Heidelberg, Germany
| | - Karin Halina Greiser
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Kerstin Wirkner
- Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | | | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Karl-Heinz Jöckel
- Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany
- Medical Faculty, University of Duisburg-Essen, University Hospital Essen, Essen, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Wolfgang Ahrens
- Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
| | - Sylvia Gastell
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Volker Harth
- Institute for Occupational and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - Till Ittermann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Stefan Janisch-Fabian
- Department of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - André Karch
- Institute of Epidemiology and Social Medicine, Münster, Germany
| | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- State Institute of Health I, Bavarian Health and Food Safety Authority, Erlangen, Germany
| | - Carolina J Klett-Tammen
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
| | - Alexander Kluttig
- Institute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther University Halle-Wittenberg, Halle (Saale), Germany
- Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Oliver Kuß
- German Diabetes Center (DDZ), Institute for Biometrics and Epidemiology, Düsseldorf, Germany
| | - Michael Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Kiel University, Kiel, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Karin B Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Rafael Mikolajczyk
- Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Ilais Moreno Velásquez
- Molecular Epidemiology Research Group, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Nadia Obi
- Institute for Occupational and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Cara Övermöhle
- Institute of Epidemiology, Kiel University, Kiel, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany
- Corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Susanne Rospleszcz
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Matthias B Schulze
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Andreas Stang
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | | | - Christine Töpfer
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Robert Wolff
- Trusted Third Party of the University Medicine Greifswald, Greifswald, Germany
| | - Kathrin Günther
- Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany
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3
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Yamamoto S, Koyanagi YN, Iwashita Y, Shinozaki T, Fujiwara Y, Sakakura N, Hara M, Nishida Y, Otonari J, Ikezaki H, Tanoue S, Koriyama C, Kasugai Y, Oze I, Koyama T, Tomida S, Michihata N, Nakamura Y, Suzuki S, Nakagawa-Senda H, Nagayoshi M, Kubo Y, Kato Y, Wakai K, Watanabe T, Ishizu M, Takashima N, Kadota A, Momozawa Y, Nakatochi M, Tamura T, Niimi A, Ito H, Matsuo K. Smoking behavior-related genetic variants and lung cancer risk in Japanese: an assessment by mediation analysis. Carcinogenesis 2025; 46:bgaf011. [PMID: 40059777 DOI: 10.1093/carcin/bgaf011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2024] [Revised: 02/17/2025] [Accepted: 03/05/2025] [Indexed: 04/23/2025] Open
Abstract
Cigarette smoking is one of the most important risk factors for lung cancer. Genetic studies have shown that smoking behavior-related genetic variants are directly associated with lung cancer, independent of smoking behavior, mainly in European populations. A recent genome-wide association study in Japan identified five loci associated with the number of cigarettes smoked per day. This study aimed to evaluate whether these loci are associated with lung cancer risk directly or indirectly through changing smoking behavior. Here, we conducted a case-control study (1427 cases and 5595 controls) and a prospective cohort study (128 incident cases in 10 520 subjects). Using mediation analysis, we decomposed the total effect of the lead single nucleotide polymorphism (SNP) at each locus on lung cancer risk into direct and indirect effects. The results of the two studies were pooled using a random-effects model to estimate summary relative risks (RRs) and their 95% confidence intervals (CIs). Two studies showed that: (i) rs78277894 (EPHX2-CLU, G > A) had a protective direct effect (RR: 0.84; 95% CI: 0.77-0.93) on lung cancer risk; and (ii) rs56129017 (CYP2A6, C > T) had carcinogenic direct and indirect effects on lung cancer risk (RR: 1.26; 95% CI: 1.15-1.39 and RR: 1.01; 95% CI: 1.00-1.01, respectively). This mediation analysis revealed that two smoking behavior-related SNPs, EPHX2-CLU rs78277894 and CYP2A6 rs56129017, were associated with lung cancer risk through pathways independent of changing smoking behavior. Our findings may contribute to our understanding of lung carcinogenesis pathways that cannot be addressed by changes in smoking behavior.
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Affiliation(s)
- Sayaka Yamamoto
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, 1-1 Kanokoden Chikusa-ku, Nagoya 464-8681, Japan
- Department of Respiratory Medicine, Allergy and Clinical Immunology, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya 467-8601, Japan
| | - Yuriko N Koyanagi
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, 1-1 Kanokoden Chikusa-ku, Nagoya 464-8681, Japan
| | - Yuji Iwashita
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, 1-1 Kanokoden Chikusa-ku, Nagoya 464-8681, Japan
| | - Tomohiro Shinozaki
- Department of Information and Computer Technology, Faculty of Engineering, Tokyo University of Science, 6-3-1 Nijuku, Katsushika-ku, Tokyo 125-8585, Japan
| | - Yutaka Fujiwara
- Department of Thoracic Oncology, Aichi Cancer Center, 1-1 Kanokoden Chikusa-ku, Nagoya 464-8681, Japan
| | - Noriaki Sakakura
- Department of Thoracic Surgery, Aichi Cancer Center, 1-1 Kanokoden Chikusa-ku, Nagoya 464-8681, Japan
| | - Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga 849-8501, Japan
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga 849-8501, Japan
| | - Jun Otonari
- Department of Psychosomatic Medicine, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Hiroaki Ikezaki
- Department of General Internal Medicine, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Shiroh Tanoue
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima 890-8544, Japan
| | - Chihaya Koriyama
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima 890-8544, Japan
| | - Yumiko Kasugai
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, 1-1 Kanokoden Chikusa-ku, Nagoya 464-8681, Japan
| | - Isao Oze
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, 1-1 Kanokoden Chikusa-ku, Nagoya 464-8681, Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo- ku, Kyoto 602-8566, Japan
| | - Satomi Tomida
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo- ku, Kyoto 602-8566, Japan
| | - Nobuaki Michihata
- Cancer Prevention Center, Chiba Cancer Center Research Institute, 666-2 Nitona-cho, Chuo-ku, Chiba 260-8717, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, 666-2 Nitona-cho, Chuo-ku, Chiba 260-8717, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya 467-8601, Japan
| | - Hiroko Nakagawa-Senda
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya 467-8601, Japan
| | - Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8550, Japan
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8550, Japan
| | - Yasufumi Kato
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8550, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8550, Japan
| | - Takeshi Watanabe
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan
| | - Masashi Ishizu
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan
| | - Naoyuki Takashima
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo- ku, Kyoto 602-8566, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Seta-Tsukiwacho, Otsu, Shiga 520-2192, Japan
| | - Aya Kadota
- NCD Epidemiology Research Center, Shiga University of Medical Science, Seta-Tsukiwacho, Otsu, Shiga 520-2192, Japan
- Department of Public Health, Shiga University of Medical Science, Seta Tsukiwacho, Otsu, Shiga 520-2192, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045, Japan
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, 1-1-20 Daiko-Minami, Higashi-ku, Nagoya 461-8673, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8550, Japan
| | - Akio Niimi
- Department of Respiratory Medicine, Allergy and Clinical Immunology, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya 467-8601, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, 1-1 Kanokoden Chikusa-ku, Nagoya 464-8681, Japan
- Department of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8550, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, 1-1 Kanokoden Chikusa-ku, Nagoya 464-8681, Japan
- Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8550, Japan
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4
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Yamaguchi C, Nakamura S, Watanabe K, Narimatsu H. Impact of eating alone and nutrient intake on psychological distress among older Japanese adults: A cross-sectional study. Asia Pac J Clin Nutr 2025; 34:240-248. [PMID: 40134063 PMCID: PMC11937489 DOI: 10.6133/apjcn.202504_34(2).0011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 09/24/2024] [Accepted: 08/03/2024] [Indexed: 03/27/2025]
Abstract
BACKGROUND AND OBJECTIVES This study aimed to examine whether eating alone, folate intake, and n-3 PUFA intake are independently associated with psychological distress in older adults. METHODS AND STUDY DESIGN We analyzed cross-sectional data from 1011 study participants aged ≥65 years in Japan. We assessed psychological distress using the Kessler 6 scale, whether the participants ate alone or with others, folate and n-3 PUFA intake using a short food frequency questionnaire. RESULTS Of the 1011 study participants, 465 (46.0%) were male and mean (SD) age was 71.6 (4.8) years. In a multivariable logistic regression analysis, the odds ratio (OR) for psychological distress in participants eating alone compared to those eating with others was 1.32 (95% confidence interval [CI], 0.76-2.31). The ORs in the second and third tertiles com-pared to the first tertile, which had the lowest folate intake, were 0.92 (95% CI, 0.62-1.37) and 1.12 (95% CI, 0.73-1.73), respectively. The ORs in the second and third tertiles compared to the first tertile, which had the lowest n-3 PUFA intake, were 0.83 (95% CI, 0.56-1.24) and 0.95 (95% CI, 0.62-1.45), respectively. Also, the OR in those eating alone combined with the first tertile of n-3 PUFA intake compared to those eating with others with the third tertile was 2.18 (95%CI, 1.05-4.55). CONCLUSIONS Although eating alone combined with low n-3 PUFA intake was associated with psychological distress in older adults, eating alone, folate intake, and n-3 PUFA intake were not independently associated with psychological distress.
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Affiliation(s)
- Chihiro Yamaguchi
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan
| | - Sho Nakamura
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
| | - Kaname Watanabe
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Japan
| | - Hiroto Narimatsu
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan.
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Japan
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5
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Fujii R, Nagayoshi M, Nakatochi M, Sato S, Tsuboi Y, Suzuki K, Ikezaki H, Nishida Y, Kubo Y, Tanoue S, Suzuki S, Koyama T, Kuriki K, Takashima N, Katsuura-Kamano S, Momozawa Y, Wakai K, Matsuo K. Multi-Trait Polygenic Risk Score, Nongenetic Determinants, and Cardiovascular Disease Death: A Cohort Study of 14 086 Japanese Individuals. J Am Heart Assoc 2025; 14:e038572. [PMID: 40079315 DOI: 10.1161/jaha.124.038572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Accepted: 02/04/2025] [Indexed: 03/15/2025]
Abstract
BACKGROUND Although utility of composite trait-specific polygenic risk score (multi-trait PRS) has been examined among European ancestries, few studies investigated among East Asians and incorporated modifiable risk factors. We examined the associations of multi-trait PRS for cardiometabolic factors with cardiovascular disease mortality by integrating nongenetic determinants. METHODS A total of 14 086 Japanese participants (mean age, 55±9; 55.8% women) of the J-MICC (Japan Multi-Institutional Collaborative Cohort) study were analyzed in this study. We calculated 6 PRSs for cardiometabolic traits (systolic blood pressure, body mass index, triglycerides, low-density lipoprotein cholesterol, estimated glomerular filtration rate, and hemoglobin A1c). Based on these PRSs, we developed multi-trait PRS and considered as a primary exposure. Three nongenetic factors (smoking, alcohol drinking, and educational attainment) from the self-reported questionnaire were also examined. RESULTS During a median 12.1-year follow-up period, a total of 472 all-cause and 79 cardiovascular disease mortality cases were documented. Compared with 0% to 90% of multi-trait PRSs, an adjusted hazard ratio (HR) among the top 10% of multi-trait PRSs was 1.32 (95% CI, 1.00-1.73) for all-cause death and 2.63 (95% CI, 1.48-4.67) for cardiovascular disease death. Incorporation of educational attainment with multi-trait PRSs showed null associations in those who went beyond high school (HR, 2.07 [95% CI, 0.44-9.66]) even in the top 10% of multi-trait PRS. CONCLUSIONS Our analysis combining both genetic and nongenetic determinants highlighted that lifestyle factors and educational attainment can slightly reduce an individual's composite genetic risk for cardiovascular disease death.
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Affiliation(s)
- Ryosuke Fujii
- Department of Preventive Medical Sciences Fujita Health University School of Medical Sciences Toyoake Japan
- Department of Preventive Medicine Nagoya University Graduate School of Medicine Nagoya Japan
| | - Mako Nagayoshi
- Department of Preventive Medicine Nagoya University Graduate School of Medicine Nagoya Japan
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences Nagoya University Graduate School of Medicine Nagoya Japan
| | - Shuntaro Sato
- Clinical Research Center Nagasaki University Hospital Nagasaki Japan
| | - Yoshiki Tsuboi
- Department of Preventive Medical Sciences Fujita Health University School of Medical Sciences Toyoake Japan
| | - Koji Suzuki
- Department of Preventive Medical Sciences Fujita Health University School of Medical Sciences Toyoake Japan
| | - Hiroaki Ikezaki
- Department of Environmental Medicine and Infectious Disease, Graduate School of Medical Sciences Kyushu University Fukuoka Japan
- Department of General Internal Medicine Kyushu University Hospital Fukuoka Japan
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine Saga University Saga Japan
| | - Yoko Kubo
- Department of Preventive Medicine Nagoya University Graduate School of Medicine Nagoya Japan
| | - Shiroh Tanoue
- Department of Epidemiology and Preventive Medicine Kagoshima University Graduate School of Medical and Dental Sciences Kagoshima Japan
| | - Sadao Suzuki
- Department of Public Health Nagoya City University Graduate School of Medical Sciences Nagoya Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine Kyoto Prefectural University of Medicine Kyoto Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences University of Shizuoka Shizuoka Japan
| | - Naoyuki Takashima
- Department of Epidemiology for Community Health and Medicine Kyoto Prefectural University of Medicine Kyoto Japan
- NCD Epidemiology Research Center Shiga University of Medical Science Otsu Shiga Japan
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine Tokushima University Graduate School of Biomedical Sciences Tokushima Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development Center for Integrative Medical Sciences, RIKEN Yokohama Kanagawa Japan
| | - Kenji Wakai
- Department of Preventive Medicine Nagoya University Graduate School of Medicine Nagoya Japan
| | - Keitaro Matsuo
- Division of Cancer Information and Control Aichi Cancer Center Research Institute Nagoya Japan
- Division of Descriptive Cancer Epidemiology Nagoya University Graduate School of Medicine Nagoya Japan
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6
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Nishiyama M, Nakamura S, Matsuki T, Narimatsu H. Association between gut microbiota and locomotive syndrome risk in healthy Japanese adults: a cross-sectional study. NPJ AGING 2024; 10:55. [PMID: 39587126 PMCID: PMC11589126 DOI: 10.1038/s41514-024-00184-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2024] [Accepted: 11/08/2024] [Indexed: 11/27/2024]
Abstract
This cross-sectional study examined the association between gut microbiota composition and locomotive syndrome in 568 healthy Japanese adults (36.8% male, median age 58.5 years) using data from the Kanagawa "ME-BYO" Prospective Cohort Study. Locomotive syndrome was assessed using the 5-question Geriatric Locomotive Function Scale (GLFS-5). Linear discriminant analysis effect size showed an enrichment of Actinobacteria and depletion of Firmicutes in GLFS-5 positive individuals. Classification tree analysis identified three terminal nodes as GLFS-5 positive, with one node involving Holdemania. Participants aged ≥70.0 and <78.0 years who did not consume probiotic foods and had ≥0.04% relative abundance of Holdemania were classified as at risk for locomotive syndrome. Our findings suggest a potential association between gut microbiota, particularly higher Holdemania abundance, and locomotive syndrome in older adults. This study provides insights into the complex relationship between gut microbiome composition and musculoskeletal health in aging populations. However, the cross-sectional design limits causal inference.
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Affiliation(s)
- Minami Nishiyama
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan
| | - Sho Nakamura
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan.
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan.
- Department of Medical Genetics, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan.
| | - Taizo Matsuki
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan
| | - Hiroto Narimatsu
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan
- Department of Medical Genetics, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan
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7
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Hishida A, Nakatochi M, Sutoh Y, Nakano S, Momozawa Y, Narita A, Tanno K, Shimizu A, Hozawa A, Kinoshita K, Yamaji T, Goto A, Noda M, Sawada N, Ikezaki H, Nagayoshi M, Hara M, Suzuki S, Koyama T, Koriyama C, Katsuura-Kamano S, Kadota A, Kuriki K, Yamamoto M, Sasaki M, Iwasaki M, Matsuo K, Wakai K. GWAS Meta-analysis of Kidney Function Traits in Japanese Populations. J Epidemiol 2024; 34:526-534. [PMID: 38583947 PMCID: PMC11464852 DOI: 10.2188/jea.je20230281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 02/29/2024] [Indexed: 04/09/2024] Open
Abstract
BACKGROUND Genetic epidemiological evidence for the kidney function traits in East Asian populations, including Japanese, remain still relatively unclarified. Especially, the number of genome-wide association studies (GWASs) for kidney traits reported still remains limited, and the sample size of each independent study is relatively small. Given the genetic variability between ancestries/ethnicities, implementation of GWAS with sufficiently large sample sizes in specific population of Japanese is considered meaningful. METHODS We conducted the GWAS meta-analyses of kidney traits by leveraging the GWAS summary data of the representative large genome cohort studies with about 200,000 Japanese participants (n = 202,406 for estimated glomerular filtration rate [eGFR] and n = 200,845 for serum creatinine [SCr]). RESULTS In the present GWAS meta-analysis, we identified 110 loci with 169 variants significantly associated with eGFR (on chromosomes 1-13 and 15-22; P < 5 × 10-8), whereas we also identified 112 loci with 176 variants significantly associated with SCr (on chromosomes 1-22; P < 5 × 10-8), of which one locus (more than 1 Mb distant from known loci) with one variant (CD36 rs146148222 on chromosome 7) for SCr was considered as the truly novel finding. CONCLUSION The present GWAS meta-analysis of the largest genome cohort studies in Japanese subjects provided some original genomic loci associated with kidney function, which may contribute to the possible development of personalized prevention of kidney diseases based on genomic information in the near future.
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Affiliation(s)
- Asahi Hishida
- Department of Public Health, Aichi Medical University School of Medicine, Aichi, Japan
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Yoichi Sutoh
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate, Japan
- Division of Biomedical Information Analysis, Iwate Medical University, Iwate, Japan
| | - Shiori Nakano
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Kanagawa, Japan
| | - Akira Narita
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Kozo Tanno
- Division of Clinical Research and Epidemiology, Iwate Medical University, Iwate, Japan
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Iwate, Japan
| | - Atsushi Shimizu
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate, Japan
- Division of Biomedical Information Analysis, Iwate Medical University, Iwate, Japan
| | - Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Atsushi Goto
- Department of Public Health, School of Medicine, Yokohama City University, Kanagawa, Japan
| | - Mitsuhiko Noda
- Department of Diabetes, Metabolism and Endocrinology, Ichikawa Hospital, International University of Health and Welfare, Chiba, Japan
- Department of Endocrinology and Diabetes, Saitama Medical University, Saitama, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Hiroaki Ikezaki
- Department of Comprehensive General Internal Medicine, Graduate School of Medical Sciences, Kyushu University, Kyushu University Hospital, Fukuoka, Japan
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Aichi, Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Chihaya Koriyama
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Aya Kadota
- Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Shiga, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan
- Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Aichi, Japan
- Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
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8
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Watanabe T, Nguyen TV, Katsuura-Kamano S, Arisawa K, Ishizu M, Unohara T, Tanaka K, Shimanoe C, Nagayoshi M, Tamura T, Kubo Y, Kato Y, Oze I, Ito H, Michihata N, Nakamura Y, Tanoue S, Koriyama C, Suzuki S, Nakagawa-Senda H, Koyama T, Tomida S, Kuriki K, Takashima N, Harada A, Wakai K, Matsuo K. The Significance of Comprehensive Metabolic Phenotypes in Cancer Risk: A Japan Multi-Institutional Collaborative Cohort Study. CANCER RESEARCH COMMUNICATIONS 2024; 4:2986-2997. [PMID: 39470380 PMCID: PMC11579844 DOI: 10.1158/2767-9764.crc-24-0249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 08/23/2024] [Accepted: 10/25/2024] [Indexed: 10/30/2024]
Abstract
SIGNIFICANCE The prospective cohort study in a large Japanese population suggested that metabolic phenotypes are important risk factors for total and some site-specific cancers in Japanese adults. Moreover, the risk of each site-specific cancer may differ according to metabolic phenotypes.
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Affiliation(s)
- Takeshi Watanabe
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Tien Van Nguyen
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
- Thai Binh University of Medicine and Pharmacy, Thai Binh, Vietnam
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
- Department of Food Nutritional Science, Tokushima Bunri University, Tokushima, Japan
| | - Kokichi Arisawa
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Masashi Ishizu
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Taichi Unohara
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
- Student Lab, Tokushima University Faculty of Medicine, Tokushima, Japan
| | - Keitaro Tanaka
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | | | - Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yuko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yasufumi Kato
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Nobuaki Michihata
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Shiroh Tanoue
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Chihaya Koriyama
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Hiroko Nakagawa-Senda
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Satomi Tomida
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Department of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Naoyuki Takashima
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Akiko Harada
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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9
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Matsuki T, Nakamura S, Nishiyama M, Narimatsu H. Holistic Evaluation of the Gut Microbiota through Data Envelopment Analysis: A Cross-Sectional Study. Curr Dev Nutr 2024; 8:104469. [PMID: 39524216 PMCID: PMC11550754 DOI: 10.1016/j.cdnut.2024.104469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2024] [Accepted: 09/20/2024] [Indexed: 11/16/2024] Open
Abstract
Background The gut microbiome plays a crucial role in human health, but maintaining a healthy gut microbiome remains challenging. Current approaches often focus on individual components rather than providing a holistic assessment. Objectives To introduce and evaluate a novel approach using data envelopment analysis (DEA) for assessing gut microbiota efficiency and identifying potential targets for personalized interventions. Methods We conducted a cross-sectional analysis of 577 participants from the Kanagawa "ME-BYO" Prospective Cohort Study. Lifestyle factors and gut microbiota composition were assessed. DEA was employed to calculate an efficiency score for each participant, incorporating multiple inputs (lifestyle factors) and outputs (gut microbiotas). This score represents how efficiently an individual's lifestyle factors contribute to their gut microbiota composition. Tobit regression analysis was used to assess associations between efficiency scores and demographic and health-related factors. Results The mean efficiency score was 0.86, with 14.2% of participants classified as efficient. Efficiency scores showed positive correlations with alcohol intake and Faith's phylogenetic diversity. Tobit regression analysis revealed significant associations between efficiency scores and sex, fat intake, and yogurt consumption. DEA identified specific targets for improving gut microbiota composition in inefficient individuals. Conclusions This study demonstrates the potential of DEA as a tool for evaluating gut microbiota efficiency and providing personalized recommendations for microbiota optimization. This approach could lead to more effective strategies for optimizing gut health across diverse populations.
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Affiliation(s)
- Taizo Matsuki
- Graduate School of Health Innovation, Kanagawa University of Human Services, Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Asahi-ku, Yokohama, Kanagawa, Japan
| | - Sho Nakamura
- Graduate School of Health Innovation, Kanagawa University of Human Services, Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Asahi-ku, Yokohama, Kanagawa, Japan
- Department of Medical Genetics, Kanagawa Cancer Center, Nakao, Asahi-ku, Yokohama, Kanagawa, Japan
| | - Minami Nishiyama
- Graduate School of Health Innovation, Kanagawa University of Human Services, Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Asahi-ku, Yokohama, Kanagawa, Japan
| | - Hiroto Narimatsu
- Graduate School of Health Innovation, Kanagawa University of Human Services, Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Asahi-ku, Yokohama, Kanagawa, Japan
- Department of Medical Genetics, Kanagawa Cancer Center, Nakao, Asahi-ku, Yokohama, Kanagawa, Japan
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10
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Matsunaga T, Wakai K, Imaeda N, Goto C, Tamada Y, Kato Y, Kubo Y, Okada R, Nagayoshi M, Tamura T, Hishida A, Ikezaki H, Otonari J, Takashima N, Miyagawa N, Matsuo K. Food group intakes and high-sensitivity C-reactive protein among community-dwelling Japanese adults: a cross-sectional study. Public Health Nutr 2024; 27:e212. [PMID: 39420779 PMCID: PMC11604322 DOI: 10.1017/s1368980024001599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 07/13/2024] [Accepted: 08/14/2024] [Indexed: 10/19/2024]
Abstract
OBJECTIVE Healthy dietary patterns have been linked to lower levels of chronic inflammation. The present study aimed to investigate the associations between food group intakes and high-sensitivity C-reactive protein (hsCRP) among community-dwelling adults. DESIGN Cross-sectional. SETTING Three areas in Japan (Shiga, Fukuoka, or Kyushu and Okinawa). PARTICIPANTS The present analysis included 13 648 participants (5126 males and 8522 females; age range, 35-69 years) who had been enrolled in the baseline survey of the Japan Multi-Institutional Collaborative Cohort Study. Food group intakes were estimated using a FFQ. Multiple linear regression was used to examine associations between the quartiles of each energy-adjusted food group intake and log-transformed hsCRP. RESULTS The following concentration ratios of hsCRP after comparing the highest and lowest quartiles of food group intake were significant: in males, 1·12 (95 % CI 1·02, 1·22) for processed meat, 1·13 (95 % CI 1·03, 1·24) for fish and 0·83 (95 % CI 0·76, 0·90) for nuts; in females, 0·89 (95 % CI 0·81, 0·97) for bread, 1·11 (95 % CI 1·03, 1·19) for processed meat, 0·86 (95 % CI 0·80, 0·92) for vegetables, 1·19 (95 % CI 1·11, 1·29) for fruit, 0·90 (95 % CI 0·84, 0·97) for nuts and 0·88 (95 % CI 0·82, 0·95) for green tea. CONCLUSIONS Processed meat and nut intakes were associated with higher and lower hsCRP levels, respectively, in both sexes. However, for several food groups, including fish and fruit, previous findings from dietary pattern analyses were not supported by the present analyses at the food group level.
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Affiliation(s)
- Takashi Matsunaga
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan
| | - Nahomi Imaeda
- Department of Nutrition, Faculty of Wellness, Shigakkan University, Obu, Aichi, Japan
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Chiho Goto
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
- Department of Health and Nutrition, School of Health and Human Life, Nagoya Bunri University, Nagoya, Aichi, Japan
| | - Yudai Tamada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Sendai, Miyagi, Japan
| | - Yasufumi Kato
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan
| | - Rieko Okada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan
| | - Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan
| | - Hiroaki Ikezaki
- Department of Comprehensive General Internal Medicine, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Jun Otonari
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Naoyuki Takashima
- Department of Public Health, Faculty of Medicine, Kindai University, Osaka-Sayama, Osaka, Japan
- Department of Public Health, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Naoko Miyagawa
- Department of Public Health, Shiga University of Medical Science, Otsu, Shiga, Japan
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan
- Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
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11
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Okamoto M, Saito Y, Nakamura S, Nagasawa M, Shibuya M, Nagasaka G, Narimatsu H. Smartphone-Based Digital Peer Support for a Walking Intervention Among Public Officers in Kanagawa Prefecture: Single-Arm Pre- and Postintervention Evaluation. JMIR Form Res 2024; 8:e53759. [PMID: 39316793 PMCID: PMC11462101 DOI: 10.2196/53759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 04/15/2024] [Accepted: 07/25/2024] [Indexed: 09/26/2024] Open
Abstract
BACKGROUND Digital peer support, defined as peer support delivered through technology such as smartphone apps, may be promising to promote activity in the form of step counts. Interactions among users have a positive impact on retention rates, and apps with social elements show significant improvements in daily step count. However, the feasibility of digital peer support in promoting physical activity (PA) is unknown; therefore, its effectiveness on step count and the clinical implications remain unconfirmed. OBJECTIVE This study aimed to assess the feasibility of digital peer support over a 3-month intervention period using the retention rate as the outcome. Moreover, changes in daily step count and physical measurements were compared between pre- and postintervention. METHODS The study design was a 3-month 1-arm intervention with participants from local government offices in Kanagawa, Japan. We used an available smartphone app, Minchalle, as the tool for the group intervention. Participants were required to report their daily step count to a maximum of 5 members composed exclusively of study participants. The primary outcome was the retention rate. Secondary outcomes included daily step count, the rate of achieving daily step goals, physical measurements, and lifestyle characteristics. Descriptive statistics and the Pearson coefficient were used to examine the relationship between goal achievement and step count, as well as changes in step count and various variables including physical measurements. RESULTS Of the 63 participants, 62 completed the intervention. The retention rate was 98% (62/63). The average daily step count during the intervention was 6993 (SD 2328) steps, an 1182-step increase compared with the count observed 1 week before the intervention began. The rate of achieving the daily step count during the intervention was 53.5% (SD 26.2%). There was a significant correlation (r=0.27, P=.05) between achieving daily step goals and increasing daily step count. Comparative analyses showed that changes in weight (68.56, SD 16.97 kg vs 67.30, SD 16.86 kg; P<.001), BMI (24.82, SD 4.80 kg/m2 vs 24.35, SD 4.73 kg/m2; P<.001), somatic fat rate (28.50%, SD 7.44% vs 26.58%, SD 7.90%; P=.005), systolic blood pressure (130.42, SD 17.92 mm Hg vs 122.00, SD 15.06 mm Hg; P<.001), and diastolic blood pressure (83.24, SD 13.27 mm Hg vs 77.92, SD 11.71 mm Hg; P=.002) were significantly different before and after the intervention. Similarly, the daily amount of PA significantly improved from 5.77 (SD 3.81) metabolic equivalent (MET)-hours per day to 9.85 (SD 7.84) MET-hours per day (P<.001). CONCLUSIONS This study demonstrated that digital peer support is feasible for maintaining a high retention rate and can, therefore, effectively promote PA. It can be a promising tool to improve daily step count, subjective PA, and clinical outcomes, such as weight and somatic fat rate. TRIAL REGISTRATION UMIN Clinical Trials Registry UMIN000042520; https://tinyurl.com/46c4nm8z.
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Affiliation(s)
- Masumi Okamoto
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan
- Center for Innovation Policy, Kanagawa University of Human Services, Kawasaki, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
| | - Yoshinobu Saito
- Faculty of Sport Management, Nippon Sport Science University, Yokohama, Japan
- Graduate School of Physical Education, Health and Sport Studies, Nippon Sport Science University, Tokyo, Japan
| | - Sho Nakamura
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Japan
| | - Makoto Nagasawa
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan
| | | | | | - Hiroto Narimatsu
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan
- Center for Innovation Policy, Kanagawa University of Human Services, Kawasaki, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Japan
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12
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Fujii R, Hishida A, Nakatochi M, Okumiyama H, Takashima N, Tsuboi Y, Suzuki K, Ikezaki H, Shimanoe C, Kato Y, Tamura T, Ito H, Michihata N, Tanoue S, Suzuki S, Kuriki K, Kadota A, Watanabe T, Momozawa Y, Wakai K, Matsuo K. Polygenic risk score for blood pressure and lifestyle factors with overall and CVD mortality: a prospective cohort study in a Japanese population. Hypertens Res 2024; 47:2284-2294. [PMID: 38961281 DOI: 10.1038/s41440-024-01766-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 05/29/2024] [Accepted: 06/06/2024] [Indexed: 07/05/2024]
Abstract
Although previous polygenic risk score (PRS) studies for cardiovascular disease (CVD) focused on incidence, few studies addressed CVD mortality and quantified risks by environmental exposures in different genetic liability groups. This prospective study aimed to examine the associations of blood pressure PRS with all-cause and CVD mortality and to quantify the attributable risk by modifiable lifestyles across different PRS strata. 9,296 participants in the Japan Multi-Institutional Collaborative Cohort Study without hypertension at baseline were analyzed in this analysis. PRS for systolic blood pressure and diastolic blood pressure (PRSSBP and PRSDBP) were developed using publicly available Biobank Japan GWAS summary statistics. CVD-related mortality was defined by the International Classification of Diseases 10th version (I00-I99). Cox-proportional hazard model was used to examine associations of PRSs and lifestyle variables (smoking, drinking, and dietary sodium intake) with mortality. During a median 12.6-year follow-up period, we observed 273 all-cause and 41 CVD mortality cases. Compared to the middle PRS group (20-80th percentile), adjusted hazard ratios for CVD mortality at the top PRS group ( > 90th percentile) were 3.67 for PRSSBP and 2.92 for PRSDBP. Attributable risks of CVD mortality by modifiable lifestyles were higher in the high PRS group ( > 80th percentile) compared with the low PRS group (0-80th percentile). In summary, blood pressure PRS is associated with CVD mortality in the general Japanese population. Our study implies that integrating PRS with lifestyle could contribute to identify target populations for lifestyle intervention even though improvement of discriminatory ability by PRS alone is limited.
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Affiliation(s)
- Ryosuke Fujii
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, 470-1192, Japan.
- Institute for Biomedicine, Eurac Research, Via A.Volta 21, Bolzano/Bozen, 39100, Italy.
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, 1-1-20 Daikominami, Higashi-ku, Nagoya, 461-8673, Japan
| | - Hiroshi Okumiyama
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, 470-1192, Japan
| | - Naoyuki Takashima
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto, 602-8566, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Tsukiwacho, Seta, Otsu, 520-2192, Japan
| | - Yoshiki Tsuboi
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, 470-1192, Japan
| | - Koji Suzuki
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, 470-1192, Japan
| | - Hiroaki Ikezaki
- Department of Comprehensive General Internal Medicine, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
- Department of General Internal Medicine, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Chisato Shimanoe
- Department of Pharmacy, Saga University Hospital, 5-1-1 Nabeshima, Saga, 849-8501, Japan
| | - Yasufumi Kato
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-ku, Nagoya, 464-8681, Japan
- Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Nobuaki Michihata
- Cancer Prevention Center, Chiba Cancer Center Research Institute, 666-2 Nitona-cho, Chuo-ku, Chiba, 260-8717, Japan
| | - Shiroh Tanoue
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, 467-8601, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka, 422-8526, Japan
| | - Aya Kadota
- NCD Epidemiology Research Center, Shiga University of Medical Science, Tsukiwacho, Seta, Otsu, 520-2192, Japan
- Faculty of Nursing Science, Tsuruga Nursing University, 78-2 Kizaki, Tsuruga, 914-0814, Japan
| | - Takeshi Watanabe
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Keitaro Matsuo
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-ku, Nagoya, 464-8681, Japan
- Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
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Tran QA, Nakamura S, Watanabe K, Chei CL, Narimatsu H. The relationship between loneliness and blood glucose: a cross-sectional survey among Japanese. BMC Res Notes 2024; 17:201. [PMID: 39039524 PMCID: PMC11264398 DOI: 10.1186/s13104-024-06855-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 07/01/2024] [Indexed: 07/24/2024] Open
Abstract
Recently, researchers have uncovered a correlation between loneliness and both the development and management of diabetes. Nevertheless, previous studies employing an unvalidated loneliness questionnaire impair result accuracy. Furthermore, this aspect has not been researched in the Japanese population. Therefore, this cross-sectional study analyzed data from the Kanagawa prospective "ME-BYO" Cohort Study (ME-BYO cohort) to investigate the correlation between loneliness, as measured by 20 items on the UCLA Loneliness Scale, and blood glucose levels. A total of 666 participants were included in the analysis, with a mean age of 54.1 years and a mean BMI of 23 kg/m2. Half of the participants had obtained an education level beyond high school. The mean household income and physical activity level were reported as 6.83 million Japanese yen and 12.3 METs-h/day, respectively. Model 1 of the linear regression analysis determined that there was no significant association between the loneliness scale and HbA1c (p = 0.512). After adjusting for age, gender, BMI (model 2), sitting time, physical activity level (model 3), housemates, household income, and final education (model 4), and controlling for social support, quality of life, and depression (model 5), the results showed no significant association, with a p-value of 0.823, 0.791, 0.792, and 0.816, respectively. Thus, the study found no link between loneliness and HbA1c in the high SES population. This finding contradicts previous results and may be attributed to the impact of population characteristics, SES status, or genetic backgrounds.
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Affiliation(s)
- Quyen An Tran
- Graduate School of Health of Innovation, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Asahi-ku, Yokohama, Kanagawa, 241-8515, Japan
| | - Sho Nakamura
- Graduate School of Health of Innovation, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Asahi-ku, Yokohama, Kanagawa, 241-8515, Japan
| | - Kaname Watanabe
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Asahi-ku, Yokohama, Kanagawa, 241-8515, Japan
- Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Japan
| | - Choy-Lye Chei
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Asahi-ku, Yokohama, Kanagawa, 241-8515, Japan
- Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Japan
| | - Hiroto Narimatsu
- Graduate School of Health of Innovation, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan.
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Asahi-ku, Yokohama, Kanagawa, 241-8515, Japan.
- Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Japan.
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14
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Kato M, Ozaki E, Matsui D, Nakano W, Nakano S, Ono S, Kito K, Koyama T. Locomotive syndrome and depressive symptoms: A cross-sectional study in middle-aged women. Mod Rheumatol 2024; 34:858-863. [PMID: 37801366 DOI: 10.1093/mr/road096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 09/11/2023] [Accepted: 09/23/2023] [Indexed: 10/08/2023]
Abstract
OBJECTIVE Evidence for an association between locomotive syndrome (LS) and depression is lacking in middle-aged women. This study aimed to investigate the relationship between LS severity and depressive symptoms in community-dwelling middle-aged women. METHODS This cross-sectional study included 1520 middle-aged women (mean age 52 ± 6 years). LS severity was evaluated using the 25-question Geriatric Locomotive Function Scale questionnaire and motor function test. Depressive symptoms were assessed using the Zung self-rating depression scale. Multiple logistic regression analyses were performed to determine the association between depressive symptoms and LS severity, adjusting for potential confounding factors. RESULTS LS severity, as evaluated through both questionnaires and motor function tests, was significantly associated with depressive symptoms (self-rating depression scale ≥ 40 points) in middle-aged women. The relationship between LS and depressive symptoms was only significant when assessed through the 25-question Geriatric Locomotive Function Scale questionnaire rather than the motor function tests. Additionally, a stepwise association was observed between pain severity, as assessed by the 25-question Geriatric Locomotive Function Scale, and the prevalence of depressive symptoms. CONCLUSIONS LS severity is significantly associated with depressive symptoms in community-dwelling middle-aged women, suggesting the need for additional mental status assessment in participants with LS and concurrent pain.
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Affiliation(s)
- Michitaka Kato
- Department of Shizuoka Physical Therapy, Faculty of Health Science, Tokoha University, Shizuoka, Japan
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Daisuke Matsui
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Wataru Nakano
- Department of Shizuoka Physical Therapy, Faculty of Health Science, Tokoha University, Shizuoka, Japan
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Satoko Nakano
- Department of Shizuoka Physical Therapy, Faculty of Health Science, Tokoha University, Shizuoka, Japan
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Sintaro Ono
- Department of Shizuoka Physical Therapy, Faculty of Health Science, Tokoha University, Shizuoka, Japan
| | - Kazuya Kito
- Department of Shizuoka Physical Therapy, Faculty of Health Science, Tokoha University, Shizuoka, Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
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15
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Hama Y, Yamada S, Nishimura R, Yoshida M, Tsuga K, Morita E, Tamada Y, Kato Y, Kubo Y, Okada R, Nagayoshi M, Tamura T, Hishida A, Wakai K, Naito M. Association between dysphagia risk and sleep quality in community-dwelling older adults: A cross-sectional study. Heliyon 2024; 10:e32028. [PMID: 38882350 PMCID: PMC11180309 DOI: 10.1016/j.heliyon.2024.e32028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 04/26/2024] [Accepted: 05/27/2024] [Indexed: 06/18/2024] Open
Abstract
Objectives Exploring the effects of swallowing function on sleep quality could provide valuable insights into the potential impact of reduced swallowing function on sleep. However, pertinent studies are limited. Therefore, this study aimed to investigate the relationship between dysphagia risk and sleep health in community-dwelling older adults. Methods Data for this cross-sectional study were obtained from the Shizuoka and Daiko studies conducted as part of the Japan Multi-Institutional Collaborative Cohort Study. Information on demographics, overall lifestyle, dysphagia risk, as well as sleep quality, duration, satisfaction, and regularity, was obtained using a self-administered questionnaire. Dysphagia risk and sleep quality were assessed using the Dysphagia Risk Assessment Questionnaire for the Community-dwelling Elderly and the Japanese version of the Pittsburgh Sleep Questionnaire Index, respectively. Multivariate logistic regression, adjusted for covariates, was employed to assess the association between dysphagia risk and sleep health. Results Among the 3058 participants (1633 males, 1425 females) aged ≥60 years, 28.0 % exhibited dysphagia risk, and 19.1 % reported poor sleep quality. Those with dysphagia risk were more likely to experience poor sleep quality than those without dysphagia risk. In male participants, dysphagia was significantly associated with poor sleep quality, unsatisfactory sleep, and sleep irregularity, but was not significantly associated with unsatisfactory or irregular sleep in female participants. The Japanese version of the Pittsburgh Sleep Questionnaire Index components-subjective sleep quality, sleep latency, sleep disturbances, and daytime dysfunction-were associated with dysphagia risk in both sexes. Conclusions Dysphagia risk is associated with sleep quality in older individuals in Japan. Thus, preserving swallowing function may contribute to enhancing sleep quality.
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Affiliation(s)
- Yohko Hama
- Department of Advanced Prosthodontics, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
- Hiroshima Oral Health Center, Hiroshima, Japan
| | - Sachiko Yamada
- Department of Oral Epidemiology, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
| | - Rumi Nishimura
- Department of Oral Epidemiology, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
| | - Mitsuyoshi Yoshida
- Department of Dentistry and Oral-Maxillofacial Surgery, Fujita Health University School of Medicine, Toyoake, Japan
| | - Kazuhiro Tsuga
- Department of Advanced Prosthodontics, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
| | - Emi Morita
- International Institute for Integrative Sleep Medicine, University of Tsukuba, Japan
- Forestry and Forest Products Research Institute, Forest Research and Management Organization, Japan
| | - Yudai Tamada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Sendai, Miyagi, Japan
| | - Yasufumi Kato
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Rieko Okada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Mariko Naito
- Department of Oral Epidemiology, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
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Nishimoto D, Ibusuki R, Shimoshikiryo I, Shibuya K, Tanoue S, Koriyama C, Takezaki T, Oze I, Ito H, Hishida A, Tamura T, Kato Y, Tamada Y, Nishida Y, Shimanoe C, Suzuki S, Nishiyama T, Ozaki E, Tomida S, Kuriki K, Miyagawa N, Kondo K, Arisawa K, Watanabe T, Ikezaki H, Otonari J, Wakai K, Matsuo K. Association Between Awareness of Limiting Food Intake and All-cause Mortality: A Cohort Study in Japan. J Epidemiol 2024; 34:286-294. [PMID: 37926519 PMCID: PMC11078597 DOI: 10.2188/jea.je20220354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 09/26/2023] [Indexed: 11/07/2023] Open
Abstract
BACKGROUND Improving diets requires an awareness of the need to limit foods for which excessive consumption is a health problem. Since there are limited reports on the link between this awareness and mortality risk, we examined the association between awareness of limiting food intake (energy, fat, and sweets) and all-cause mortality in a Japanese cohort study. METHODS Participants comprised 58,772 residents (27,294 men; 31,478 women) aged 35-69 years who completed baseline surveys of the Japan Multi-Institutional Collaborative Cohort Study from 2004 to 2014. Hazard ratios (HRs) for all-cause mortality and 95% confidence intervals (CIs) were estimated by sex using a Cox proportional hazard model, with adjustment for related factors. Mediation analysis with fat intake as a mediator was also conducted. RESULTS The mean follow-up period was 11 years, and 2,516 people died. Estimated energy and fat intakes according to the Food Frequency Questionnaire were lower in those with awareness of limiting food intake than in those without this awareness. Women with awareness of limiting fat intake showed a significant decrease in mortality risk (HR 0.73; 95% CI, 0.55-0.94). Mediation analysis revealed that this association was due to the direct effect of the awareness of limiting fat intake and that the total effect was not mediated by actual fat intake. Awareness of limiting energy or sweets intake was not related to mortality risk reduction. CONCLUSION Awareness of limiting food intake had a limited effect on reducing all-cause mortality risk.
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Affiliation(s)
- Daisaku Nishimoto
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
- School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Japan
| | - Rie Ibusuki
- Department of Community-Based Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Ippei Shimoshikiryo
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
- Environmental Epidemiology Section, Health and Environmental Risk Division, National Institute for Environmental Studies, Tsukuba, Japan
| | | | - Shiroh Tanoue
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Chihaya Koriyama
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Toshiro Takezaki
- Community Medicine Support Center, Kagoshima University Hospital, Kagoshima, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center, Nagoya, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan
- Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yasufumi Kato
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yudai Tamada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | | | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Takeshi Nishiyama
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Satomi Tomida
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Department of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Naoko Miyagawa
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
| | - Keiko Kondo
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Kokichi Arisawa
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Takeshi Watanabe
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Hiroaki Ikezaki
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan
- Department of Comprehensive General Internal Medicine, Kyushu University Faculty of Medical Sciences, Fukuoka, Japan
| | - Jun Otonari
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University Hospital, Fukuoka, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center, Nagoya, Japan
- Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Tsukamoto M, Hishida A, Tamura T, Nagayoshi M, Okada R, Kubo Y, Kato Y, Hamajima N, Nishida Y, Shimanoe C, Ibusuki R, Shibuya K, Takashima N, Nakamura Y, Kusakabe M, Nakamura Y, Koyanagi YN, Oze I, Nishiyama T, Suzuki S, Watanabe I, Matsui D, Otonari J, Ikezaki H, Katsuura-Kamano S, Arisawa K, Kuriki K, Nakatochi M, Momozawa Y, Takeuchi K, Wakai K, Matsuo K. GWAS of Folate Metabolism With Gene-environment Interaction Analysis Revealed the Possible Role of Lifestyles in the Control of Blood Folate Metabolites in Japanese: The J-MICC Study. J Epidemiol 2024; 34:228-237. [PMID: 37517992 PMCID: PMC10999522 DOI: 10.2188/jea.je20220341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 06/30/2023] [Indexed: 08/01/2023] Open
Abstract
BACKGROUND The present genome-wide association study (GWAS) aimed to reveal the genetic loci associated with folate metabolites, as well as to detect related gene-environment interactions in Japanese. METHODS We conducted the GWAS of plasma homocysteine (Hcy), folic acid (FA), and vitamin B12 (VB12) levels in the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study participants who joined from 2005 to 2012, and also estimated gene-environment interactions. In the replication phase, we used data from the Yakumo Study conducted in 2009. In the discovery phase, data of 2,263 participants from four independent study sites of the J-MICC Study were analyzed. In the replication phase, data of 573 participants from the Yakumo Study were analyzed. RESULTS For Hcy, MTHFR locus on chr 1, NOX4 on chr 11, CHMP1A on chr 16, and DPEP1 on chr 16 reached genome-wide significance (P < 5 × 10-8). MTHFR also associated with FA, and FUT2 on chr 19 associated with VB12. We investigated gene-environment interactions in both studies and found significant interactions between MTHFR C677T and ever drinking, current drinking, and physical activity >33% on Hcy (β = 0.039, 0.038 and -0.054, P = 0.018, 0.021 and <0.001, respectively) and the interaction of MTHFR C677T with ever drinking on FA (β = 0.033, P = 0.048). CONCLUSION The present GWAS revealed the folate metabolism-associated genetic loci and gene-environment interactions with drinking and physical activity in Japanese, suggesting the possibility of future personalized cardiovascular disease prevention.
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Affiliation(s)
- Mineko Tsukamoto
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Rieko Okada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yasufumi Kato
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Nobuyuki Hamajima
- Department of Healthcare Administration, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | | | - Rie Ibusuki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Kenichi Shibuya
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Naoyuki Takashima
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
| | - Yasuyuki Nakamura
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
| | - Miho Kusakabe
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Yuriko N. Koyanagi
- Division of Cancer Information and Control, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Takeshi Nishiyama
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Isao Watanabe
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Daisuke Matsui
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Jun Otonari
- Department of Psychosomatic Medicine, Kyushu University Graduate School of Medical Sciences, Faculty of Medical Sciences, Fukuoka, Japan
| | - Hiroaki Ikezaki
- Department of Comprehensive General Internal Medicine, Kyushu University Graduate School of Medical Sciences, Faculty of Medical Sciences, Fukuoka, Japan
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Kokichi Arisawa
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Sendai, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Kasahara C, Tamura T, Wakai K, Tamada Y, Kato Y, Kubo Y, Okada R, Nagayoshi M, Hishida A, Imaeda N, Goto C, Otonari J, Ikezaki H, Nishida Y, Shimanoe C, Oze I, Koyanagi YN, Nakamura Y, Kusakabe M, Nishimoto D, Shimoshikiryo I, Suzuki S, Watanabe M, Ozaki E, Omichi C, Kuriki K, Takashima N, Miyagawa N, Arisawa K, Katsuura-Kamano S, Takeuchi K, Matsuo K. Association between consumption of small fish and all-cause mortality among Japanese: the Japan Multi-Institutional Collaborative Cohort Study. Public Health Nutr 2024; 27:e135. [PMID: 38698584 PMCID: PMC11148834 DOI: 10.1017/s1368980024000831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 01/19/2024] [Accepted: 03/25/2024] [Indexed: 05/05/2024]
Abstract
OBJECTIVE Although small fish are an important source of micronutrients, the relationship between their intake and mortality remains unclear. This study aimed to clarify the association between intake of small fish and all-cause and cause-specific mortality. DESIGN We used the data from a cohort study in Japan. The frequency of the intake of small fish was assessed using a validated FFQ. The hazard ratio (HR) and 95 % confidence interval (CI) for all-cause and cause-specific mortality according to the frequency of the intake of small fish by sex were estimated using a Cox proportional hazard model with adjustments for covariates. SETTING The Japan Multi-Institutional Collaborative Cohort Study. PARTICIPANTS A total of 80 802 participants (34 555 males and 46 247 females), aged 35-69 years. RESULTS During a mean follow-up of 9·0 years, we identified 2482 deaths including 1495 cancer-related deaths. The intake of small fish was statistically significantly and inversely associated with the risk of all-cause and cancer mortality in females. The multivariable-adjusted HR (95 % CI) in females for all-cause mortality according to the intake were 0·68 (0·55, 0·85) for intakes 1-3 times/month, 0·72 (0·57, 0·90) for 1-2 times/week and 0·69 (0·54, 0·88) for ≥ 3 times/week, compared with the rare intake. The corresponding HR (95 % CI) in females for cancer mortality were 0·72 (0·54, 0·96), 0·71 (0·53, 0·96) and 0·64 (0·46, 0·89), respectively. No statistically significant association was observed in males. CONCLUSIONS Intake of small fish may reduce the risk of all-cause and cancer mortality in Japanese females.
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Affiliation(s)
- Chinatsu Kasahara
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yudai Tamada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Sendai, Japan
| | - Yasufumi Kato
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Rieko Okada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Department of Public Health, School of Medicine, Aichi Medical University, Nagakute, Japan
| | - Nahomi Imaeda
- Department of Nutrition, Faculty of Wellness, Shigakkan University, Obu, Japan
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Chiho Goto
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
- Department of Health and Nutrition, School of Health and Human Life, Nagoya Bunri University, Inazawa, Japan
| | - Jun Otonari
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiroaki Ikezaki
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan
- Department of Comprehensive General Internal Medicine, Kyushu University Faculty of Medical Sciences, Fukuoka, Japan
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | | | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Yuriko N Koyanagi
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Miho Kusakabe
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Daisaku Nishimoto
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
- School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Japan
| | - Ippei Shimoshikiryo
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
- Environmental Epidemiology Section, Health and Environmental Risk Division, National Institute for Environmental Studies, Tsukuba, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Miki Watanabe
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Chie Omichi
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Department of Hygiene and Public Health, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Naoyuki Takashima
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
| | - Naoko Miyagawa
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Kokichi Arisawa
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Sendai, Japan
- Division for Regional Community Development, Liaison Center for Innovative Dentistry, Tohoku University Graduate School of Dentistry, Sendai, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Nakano W, Ozaki E, Kato M, Tsukamoto T, Ono S, Tomida S, Kuriyama N, Koyama T. Association between bone health and dynapenic obesity in postmenopausal women. Geriatr Gerontol Int 2024; 24:378-384. [PMID: 38439587 DOI: 10.1111/ggi.14849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 01/19/2024] [Accepted: 02/15/2024] [Indexed: 03/06/2024]
Abstract
AIM The combination of dynapenia (age-related muscle weakness) and obesity is referred to as dynapenic obesity. We examined the associations between dynapenic obesity and cortical bone thickness and trabecular bone density. METHODS The participants were 797 community-dwelling postmenopausal women (with an average age of 62.5 years) who were stratified into normopenia without obesity, dynapenia without obesity (dynapenia), normopenia with obesity (obesity) and dynapenia with obesity (dynapenia obesity) groups based on their grip strength and body fat percentage. Cortical bone thickness and trabecular bone density were measured using ultrasonic bone densitometry. The participants were further divided into those with low cortical bone thickness and low trabecular bone density. Logistic regression analysis was used to identify associated factors. RESULTS Individuals with dynapenia (odds ratio [OR] 1.77, 95% confidence interval [CI] 1.16-2.68), obesity (OR 2.46, 95% CI 1.62-3.75) and dynapenic obesity (OR 4.07, 95% CI 2.44-6.79) all significantly increased the odds of low cortical bone thickness. Conversely, the odds of low trabecular bone density were significantly lower in the obesity group (OR 0.65, 95% CI 0.43-0.99) and dynapenic obesity group (OR 0.60, 95% CI 0.37-0.97). CONCLUSIONS Dynapenic obesity was found to be associated with cortical bone thinning that might compromise bone health. Postmenopausal women with dynapenic obesity might need to be closely monitored for preserving bone health. Geriatr Gerontol Int 2024; 24: 378-384.
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Affiliation(s)
- Wataru Nakano
- Department of Shizuoka Physical Therapy, Faculty of Health Science, Tokoha University, Shizuoka, Japan
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, Japan
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, Japan
| | - Michitaka Kato
- Department of Shizuoka Physical Therapy, Faculty of Health Science, Tokoha University, Shizuoka, Japan
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, Japan
| | - Toshiya Tsukamoto
- Department of Shizuoka Physical Therapy, Faculty of Health Science, Tokoha University, Shizuoka, Japan
| | - Shintaro Ono
- Department of Cardiovascular Rehabilitation, Omote-jyunkankika Cardiovascular Clinic, Shizuoka, Japan
| | - Satomi Tomida
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, Japan
- Department of Surgery, Division of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, Japan
| | - Nagato Kuriyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, Japan
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, Japan
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Kato M, Ozaki E, Omichi C, Kurita Y, Nakano S, Takagi D, Kuriyama N, Koyama T. Association between poor sleep quality and locomotive syndrome in middle-aged and older women: A community-based, cross-sectional study. Mod Rheumatol 2024; 34:414-421. [PMID: 36919986 DOI: 10.1093/mr/road025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 02/26/2023] [Accepted: 03/02/2023] [Indexed: 03/16/2023]
Abstract
OBJECTIVE Poor sleep quality, such as nocturnal arousal and sleep inefficiency, is associated with frailty and sarcopenia. Herein, we evaluated the relationship between poor sleep quality and locomotive syndrome (LS), a motor organ dysfunction common among community-dwelling middle-aged and older women. METHODS Participants comprised 2246 Japanese middle-aged and older women. LS was classified into stages LS-1, LS-2, and LS-3 (from least to most severe) according to the results of the stand-up test, two-step test, and 25-question Geriatric Locomotive Function Scale. Sleep quality was assessed using the Pittsburgh Sleep Quality Index. RESULTS The Pittsburgh Sleep Quality Index scores were significantly higher in the LS group than that in the non-LS group (P < .001). Multivariate logistic regression analyses adjusted for potential confounders identified poor sleep quality as an independent factor of LS (odds ratio 1.59 [95% confidence interval 1.30-1.93], P < .001). Similar results were observed in the sensitivity analysis in postmenopausal women. LS and trouble sleeping because of pain showed stepwise association in all LS stages. CONCLUSIONS Poor sleep quality was independently associated with LS among community-dwelling middle-aged and older women. As the stage of LS progressed, the proportion of women with poor sleep quality increased significantly.
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Affiliation(s)
- Michitaka Kato
- Department of Shizuoka Physical Therapy, Faculty of Health Science, Tokoha University, Shizuoka, Japan
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Chie Omichi
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Department of Hygiene and Public Health, Osaka Medical and Pharmaceutical University, Osaka, Japan
| | - Yasunari Kurita
- Department of Shizuoka Physical Therapy, Faculty of Health Science, Tokoha University, Shizuoka, Japan
| | - Satoko Nakano
- Department of Shizuoka Physical Therapy, Faculty of Health Science, Tokoha University, Shizuoka, Japan
| | - Daisuke Takagi
- Department of Shizuoka Physical Therapy, Faculty of Health Science, Tokoha University, Shizuoka, Japan
| | - Nagato Kuriyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Shizuoka Graduate University of Public Health, Shizuoka, Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
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Takagi D, Kato M, Ozaki E, Kurita Y, Nakano W, Matsui D, Koyama T. The combination of locomotive syndrome and poor sleep quality is a risk factor of falls among community-dwelling middle-aged and older women: A cross-sectional study. Geriatr Gerontol Int 2023; 23:912-918. [PMID: 37932124 DOI: 10.1111/ggi.14710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 09/22/2023] [Accepted: 10/05/2023] [Indexed: 11/08/2023]
Abstract
AIM The combination of locomotive syndrome (LS) and poor sleep quality (PQ) has not yet been shown to result in falls or to affect bone conditions in old age and middle age. [Correction added on 1 December 2023, after first online publication: The preceding sentence has been updated for clarity.] METHODS: This cross-sectional study enrolled 2233 community-dwelling middle-aged to older Japanese women. LS and PSQ were assessed by the stand-up test, two-step test, the 25-question Geriatric Locomotive Function Scale, and the Pittsburgh Sleep Quality Index (PSQI). Participants with both LS 1-3 (any) and a PSQI score ≥6 were classified as belonging to the LS(+)/PSQ(+) group. The incidence of falls in the previous month was collected using a self-administered questionnaire. Bone conditions were evaluated using an ultrasonic bone densitometer. RESULTS The LS(+)/PSQ(+) group independently had a higher risk of falls after adjusting for confounding factors than the LS(-)/PSQ(-) group using multiple logistic regression analysis (odds ratio 1.92, 95% confidence interval 1.01-3.65, P < 0.05). No relationships between LS(-)/PSQ(+) and LS(+)/PSQ(-) groups and the incidences of fall were observed (P > 0.05). [Correction added on 1 December 2023, after first online publication: The two preceding sentences have been corrected to provide greater clarity.] The LS(+)/PSQ(+) group had lower trabecular bone density and cortical bone thickness than the LS(-)/PSQ(-) group (P < 0.05). CONCLUSION The combination of LS and PSQ is an independent risk factor of falls, indicating that assessing both LS and PSQ could be useful in detecting middle-aged and older women with low bone density and thickness who fall easily at an early stage. Geriatr Gerontol Int 2023; 23: 912-918.
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Affiliation(s)
- Daisuke Takagi
- Department of Shizuoka Physical Therapy, Faculty of Health Science, Tokoha University, Shizuoka, Japan
| | - Michitaka Kato
- Department of Shizuoka Physical Therapy, Faculty of Health Science, Tokoha University, Shizuoka, Japan
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan
| | - Yasunari Kurita
- Department of Shizuoka Physical Therapy, Faculty of Health Science, Tokoha University, Shizuoka, Japan
| | - Wataru Nakano
- Department of Shizuoka Physical Therapy, Faculty of Health Science, Tokoha University, Shizuoka, Japan
| | - Daisuke Matsui
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan
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Saito Y, Nakamura S, Watanabe K, Ikegami H, Shinmura N, Sato S, Miyagi Y, Narimatsu H. Age group differences in psychological distress and leisure-time exercise/socioeconomic status during the COVID-19 pandemic: a cross-sectional analysis during 2020 to 2021 of a cohort study in Japan. Front Public Health 2023; 11:1233942. [PMID: 37954049 PMCID: PMC10634212 DOI: 10.3389/fpubh.2023.1233942] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 10/12/2023] [Indexed: 11/14/2023] Open
Abstract
Objective This study aimed to determine the association between psychological distress and leisure-time exercise/socioeconomic status by age group, using data from a cohort study in Japan during the COVID-19 pandemic. Methods This cross-sectional study was conducted among participants in the ME-BYO cohort, aged 20-85 years, living or working in Kanagawa, Japan. A questionnaire was disseminated to 1,573 participants (51.7% men) between December 2020 and March 2021. The questionnaire items included psychological distress (using the 6-item Kessler Psychological Distress Scale [K6]), leisure-time exercise, and socioeconomic status. Multivariate analyses were conducted using logistic regression analysis for each age group. Results We found that 47.4% of 20-39-year-olds, 40.6% of 40-64-year-olds, and 28.3% of 65-85-year-olds experienced psychological distress (K6: ≥5 points). For those aged 20-39 years, leisure-time exercise (odds ratio [OR] (95% confidence interval) = 0.45 (0.28-0.73)) and higher annual household income [0.53 (0.32-0.90)] were associated with less psychological distress. For those aged 40-64 years, older age was associated with less psychological distress, while full-time work [1.98 (1.05-9.71)] was associated with more psychological distress. In the 65-85-year age group, higher education and higher annual income tended to be associated with less psychological distress. For those over 40 years of age, living with other(s) was associated with reduced psychological distress. Conclusion In the general population of Japan, not engaging in leisure-time exercise and low income affect psychological distress among young adults. Further detailed studies are needed to consider overall physical activity, job type, and work style.
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Affiliation(s)
- Yoshinobu Saito
- Faculty of Sport Management, Nippon Sport Science University, Yokohama, Japan
- Graduate School of Physical Education, Health and Sport Studies, Nippon Sport Science University, Tokyo, Japan
- Center for Innovation Policy, Kanagawa University of Human Services, Kawasaki, Japan
| | - Sho Nakamura
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan
| | - Kaname Watanabe
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Japan
| | - Hiromi Ikegami
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Hygeia Communication General Incorporated Association, Kawasaki, Japan
| | - Naoko Shinmura
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Hygeia Communication General Incorporated Association, Kawasaki, Japan
| | - Shinya Sato
- Morphological Information Analysis Laboratory, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan
| | - Yohei Miyagi
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
| | - Hiroto Narimatsu
- Center for Innovation Policy, Kanagawa University of Human Services, Kawasaki, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan
- Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Japan
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Kitaoka K, Miura K, Takashima N, Kadota A, Harada A, Nakamura Y, Kita Y, Yano Y, Tamura T, Nagayoshi M, Okada R, Kubo Y, Suzuki S, Nishiyama T, Tanoue S, Koriyama C, Kuriki K, Arisawa K, Katsuura-Kamano S, Nishida Y, Shimanoe C, Ozaki E, Matsui D, Ikezaki H, Otonari J, Oze I, Koyanagi YN, Nakamura Y, Kusakabe M, Wakai K, Matsuo K. Association between Dietary Patterns and Serum Low Density Lipoprotein Cholesterol in Japanese Women and Men: The Japan Multi-Institutional Collaborative Cohort (J-MICC) Study. J Atheroscler Thromb 2023; 30:1427-1447. [PMID: 36725019 PMCID: PMC10564668 DOI: 10.5551/jat.63675] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 12/05/2022] [Indexed: 02/03/2023] Open
Abstract
AIMS The association between dietary patterns and serum low density lipoprotein (LDL) cholesterol would be changing in recent dietary habits in Japan. We investigated the relationship between dietary patterns and serum LDL cholesterol in a large general population. METHODS From the baseline survey of Japan Multi-Institutional Collaborative Cohort Study between 2005 and 2013, 27,237 participants (13,994 were women) aged 35-69 years were cross-sectionally analyzed. Using a semi-quantitative food frequency questionnaire, five major sex-specific dietary patterns were identified using factor analysis. We assessed serum LDL cholesterol by quintiles of dietary pattern factor score. RESULTS We identified dietary patterns; "vegetable rich pattern" , "meat and fried food rich pattern" and "high bread and low rice pattern" in women and men; "fish and shellfish rich pattern" and "high confectioneries and low alcohol pattern" in men; "healthy Japanese diet pattern" and "high alcohol and low rice pattern" in women. Serum LDL cholesterol in men was associated with "high bread and low rice pattern" score (Q5 was 4.2 mg/dL higher than Q1, p for trend <0.001) and "high confectioneries and low alcohol pattern" scores (Q5 was 9.5 mg/dL higher than Q1, p for trend <0.001). In women, serum LDL cholesterol was associated with "high bread and low rice pattern" score (Q5 was 7.1 mg/dL higher than Q1, p for trend <0.001). CONCLUSION Some recent dietary patterns in Japan were associated with serum LDL cholesterol. Serum LDL cholesterol was associated with high bread and low rice pattern in both sex, and high confectioneries and low alcohol pattern in men.
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Affiliation(s)
- Kaori Kitaoka
- Department of Advanced Epidemiology, NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Katsuyuki Miura
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- Department of Preventive Medicine, NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Naoyuki Takashima
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- Department of Public Health, Kinki University Faculty of Medicine, Osaka, Japan
| | - Aya Kadota
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- Department of Preventive Medicine, NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Akiko Harada
- Department of Medical Statistics, NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Yasuyuki Nakamura
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- Takeda Hospital Medical Examination Center, Kyoto, Japan
| | - Yoshikuni Kita
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan
| | - Yuichiro Yano
- Department of Advanced Epidemiology, NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
- Department of Family Medicine and Community Health, Duke University, NC, USA
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Rieko Okada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Aichi, Japan
| | - Takeshi Nishiyama
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Aichi, Japan
| | - Shiroh Tanoue
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Chihaya Koriyama
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Kokichi Arisawa
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | | | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Daisuke Matsui
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Hiroaki Ikezaki
- Department of Comprehensive General Internal Medicine, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Jun Otonari
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Aichi, Japan
| | - Yuriko N. Koyanagi
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Aichi, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Miho Kusakabe
- Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Aichi, Japan
- Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Aichi, Japan
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24
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Tamura T, Wakai K, Kato Y, Tamada Y, Kubo Y, Okada R, Nagayoshi M, Hishida A, Imaeda N, Goto C, Ikezaki H, Otonari J, Hara M, Tanaka K, Nakamura Y, Kusakabe M, Ibusuki R, Koriyama C, Oze I, Ito H, Suzuki S, Nakagawa-Senda H, Ozaki E, Matsui D, Kuriki K, Kondo K, Takashima N, Watanabe T, Katsuura-Kamano S, Matsuo K. Dietary Carbohydrate and Fat Intakes and Risk of Mortality in the Japanese Population: the Japan Multi-Institutional Collaborative Cohort Study. J Nutr 2023; 153:2352-2368. [PMID: 37271417 DOI: 10.1016/j.tjnut.2023.05.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 05/09/2023] [Accepted: 05/24/2023] [Indexed: 06/06/2023] Open
Abstract
BACKGROUND Previous cohort studies have yielded contradictory findings regarding the associations of dietary carbohydrate and fat intakes with risks of mortality. OBJECTIVES We examined long-term associations of carbohydrate and fat intakes with mortality. METHODS In this cohort study, 34,893 men and 46,440 women aged 35-69 y (mean body mass index of 23.7 and 22.2 kg/m2, respectively) were followed up from the baseline survey (2004-2014) to the end of 2017 or 2018. Intakes of carbohydrate, fat, and total energy were estimated using a food frequency questionnaire. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated for all-cause and cause-specific mortality according to percentage of energy intakes of carbohydrate and fat. RESULTS During a mean 8.9-y follow-up, we identified 2783 deaths (1838 men and 945 women). Compared with men who consumed 50% to <55% of energy from carbohydrate, those who consumed <40% carbohydrate energy experienced a significantly higher risk of all-cause mortality (the multivariable-adjusted HR: 1.59; 95% CI: 1.19-2.12; P-trend = 0.002). Among women with 5 y or longer of follow-up, women with high-carbohydrate intake recorded a higher risk of all-cause mortality; the multivariable-adjusted HR (95% CI) was 1.71 (0.93-3.13) for ≥65% of energy from carbohydrate compared with that for 50% to <55% (P-trend = 0.005). Men with high fat intake had a higher risk of cancer-related mortality; the multivariable-adjusted HR (95% CI) for ≥35% was 1.79 (1.11-2.90) compared with that for 20% to <25%. Fat intake was marginally inversely associated with risk of all-cause and cancer-related mortality in women (P-trend = 0.054 and 0.058, respectively). CONCLUSIONS An unfavorable association with mortality is observed for low-carbohydrate intake in men and for high-carbohydrate intake in women. High fat intake can be associated with a lower mortality risk in women among Japanese adults with a relatively high-carbohydrate intake.
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Affiliation(s)
- Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yasufumi Kato
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yudai Tamada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan; Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Sendai, Japan
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Rieko Okada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Nahomi Imaeda
- Department of Nutrition, Faculty of Wellness, Shigakkan University, Obu, Japan; Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Chiho Goto
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan; Department of Health and Nutrition, School of Health and Human Life, Nagoya Bunri University, Inazawa, Japan
| | - Hiroaki Ikezaki
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan; Department of Comprehensive General Internal Medicine, Kyushu University Faculty of Medical Sciences, Fukuoka, Japan
| | - Jun Otonari
- Department of Psychosomatic Medicine, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
| | - Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Keitaro Tanaka
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Miho Kusakabe
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Rie Ibusuki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Chihaya Koriyama
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan; Department of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Hiroko Nakagawa-Senda
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Daisuke Matsui
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Keiko Kondo
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Naoyuki Takashima
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan; NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Takeshi Watanabe
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan; Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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25
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Okuyama Y, Matsui D, Ozaki E, Watanabe Y. Association of low occlusal force as an oral hypofunction with the prevalence of irritable bowel syndrome in Japanese adults. J Gastroenterol Hepatol 2023; 38:1269-1276. [PMID: 36908051 DOI: 10.1111/jgh.16175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 02/23/2023] [Accepted: 03/08/2023] [Indexed: 03/14/2023]
Abstract
BACKGROUND AND AIM We investigated whether oral-dental conditions may be associated with the prevalence of irritable bowel syndrome (IBS) in a cross-sectional study in Japan. METHODS Information on lifestyle and abdominal symptoms was collected, and oral-dental examinations were performed from 2013 to 2017. To investigate the association between oral-dental conditions and IBS, this study used logistic regression analyses adjusted for relevant confounding factors, such as age, sex, BMI, stress, and eating between meals. RESULTS The prevalence of IBS was 484 (13.4%) among 3626 participants. The mean maximum occlusal force in the IBS group was significantly lower than that in the non-IBS group (0.306 ± 0.192 kN vs. 0.329 ± 0.205 kN, P = 0.014). The maximum occlusal force of the constipation-type IBS was significantly lower than that of other types of IBS without constipation type (0.269 ± 0.164 kN vs. 0.317 ± 0.198 kN, P = 0.010). Compared with those who had high values of maximum occlusal force (≧0.265 kN), those with a low value of maximum occlusal force (<0.265 kN) had a significantly greater risk for IBS (OR, 1.426; 95% CI, 1.135-1.792; P = 0.002), by multivariate analyses, across different categories of oral-dental condition in women, not in men. Women who had lowest third occlusal force (<0.206 kN) had approximately 35% significantly greater odds of having IBS compared with those who had highest third occlusal force (≧0.386 kN). CONCLUSIONS Results suggest that a reduction in the maximum occlusal force increases the risk of IBS in Japanese women.
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Affiliation(s)
- Yusuke Okuyama
- Department of Gastroenterology, Japanese Red Cross, Kyoto Daiichi Hospital, Kyoto, Japan
| | - Daisuke Matsui
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Graduate School, Kyoto, Japan
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Graduate School, Kyoto, Japan
| | - Yoshiyuki Watanabe
- Department of Nursing, Faculty of Health and Medical Sciences, Kyoto University of Advanced Science, Kyoto, Japan
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26
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Nakamura S, Watanabe R, Saito Y, Watanabe K, Chung UI, Narimatsu H. The ME-BYO index: A development and validation project of a novel comprehensive health index. Front Public Health 2023; 11:1142281. [PMID: 37213649 PMCID: PMC10196396 DOI: 10.3389/fpubh.2023.1142281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 03/23/2023] [Indexed: 05/23/2023] Open
Abstract
Quantifying health status and identifying modifiable factors are essential for effective and individualized prevention of age-related conditions and for promoting health during aging. The ME-BYO concept from Kanagawa Prefecture, one of Japan's largest prefectures, can be used to establish a healthy aging society. In disease etiology, ME-BYO considers the status of an individual's body and mind as changing continuously from healthy to sick instead of being a dichotomy between the two. ME-BYO conceptualizes the entire process of this change. The ME-BYO index was developed in 2019 to comprehensively and numerically measure and visualize an individual's current health status and future disease risk by quantifying data on the four domains of metabolic function, locomotor function, cognitive function, and mental resilience. The ME-BYO index has been implemented in the personal health management application "My ME-BYO." However, scientific validation of this index and the development of a practical application using healthcare data remain to be completed. In 2020, our research team started a project to refine the ME-BYO index using data from the Kanagawa ME-BYO prospective cohort study, which is a large population-based genomic cohort study. This project will scientifically evaluate the ME-BYO index and develop a practical application for promoting healthy aging.
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Affiliation(s)
- Sho Nakamura
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
| | - Ryo Watanabe
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan
- Center for Innovation Policy, Kanagawa University of Human Services, Kawasaki, Japan
| | - Yoshinobu Saito
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Faculty of Sport Management, Nippon Sport Science University, Yokohama, Japan
| | - Kaname Watanabe
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Japan
| | - Ung-il Chung
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan
- Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
| | - Hiroto Narimatsu
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Center for Innovation Policy, Kanagawa University of Human Services, Kawasaki, Japan
- Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Japan
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27
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Sakashita T, Nakamura Y, Sutoh Y, Shimizu A, Hachiya T, Otsuka-Yamasaki Y, Takashima N, Kadota A, Miura K, Kita Y, Ikezaki H, Otonari J, Tanaka K, Shimanoe C, Koyama T, Watanabe I, Suzuki S, Nakagawa-Senda H, Hishida A, Tamura T, Kato Y, Okada R, Kuriki K, Katsuura-Kamano S, Watanabe T, Tanoue S, Koriyama C, Oze I, Koyanagi YN, Nakamura Y, Kusakabe M, Nakatochi M, Momozawa Y, Wakai K, Matsuo K. Comparison of the loci associated with HbA1c and blood glucose levels identified by a genome-wide association study in the Japanese population. Diabetol Int 2023; 14:188-198. [PMID: 37090135 PMCID: PMC10113415 DOI: 10.1007/s13340-023-00618-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 01/15/2023] [Indexed: 01/28/2023]
Abstract
Aims Hemoglobin A1c (HbA1c) levels are widely employed to diagnose diabetes. However, estimates of the heritability of HbA1c and glucose levels are different. Therefore, we explored HbA1c- and blood glucose-associated loci in a non-diabetic Japanese population. Methods We conducted a two-stage genome-wide association study (GWAS) on variants associated with HbA1c and blood glucose levels in a Japanese population. In the initial stage, data of 4911 participants of the Japan Multi-Institutional Collaborative Cohort (J-MICC) were subjected to discovery analysis. In the second stage, two datasets from the Tohoku Medical Megabank project, with 8175 and 40,519 participants, were used for the replication study. Association of the imputed variants with HbA1c and blood glucose levels was determined via linear regression analyses adjusted for age, sex, body mass index (BMI), smoking, and genetic principal components (PC1-PC10). Moreover, we performed a BMI-stratified GWAS on HbA1c levels in the J-MICC. The discovery analysis and BMI-stratified GWAS results were validated with re-analyses of normalized HbA1c levels adjusted for site in addition to the above, and blood glucose adjusted for fasting time as an additional covariate. Results Genetic variants associated with HbA1c levels were identified in KCNQ1 and TMC6. None of the genetic variants associated with blood glucose levels in the discovery analysis were replicated. Association of rs2299620 in KCNQ1 with HbA1c levels showed heterogeneity between individuals with BMI ≥ 25 kg/m2 and BMI < 25 kg/m2. Conclusions The variant rs2299620 in KCNQ1 might affect HbA1c levels differentially based on BMI grouping in the Japanese population. Supplementary Information The online version contains supplementary material available at 10.1007/s13340-023-00618-0.
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Affiliation(s)
- Takuya Sakashita
- Department of Public Health, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga 520-2192 Japan
- TAKARA BIO INC., 7-4-38 Nojihigashi, Kusatsu, Shiga 525-0058 Japan
| | - Yasuyuki Nakamura
- Department of Public Health, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga 520-2192 Japan
- Takeda Hospital Medical Examination Center, Kyoto, Japan
| | - Yoichi Sutoh
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694 Japan
| | - Atsushi Shimizu
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694 Japan
| | - Tsuyoshi Hachiya
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694 Japan
| | - Yayoi Otsuka-Yamasaki
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694 Japan
| | - Naoyuki Takashima
- Department of Public Health, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga 520-2192 Japan
- Department of Public Health, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, Osaka-Sayama, Osaka 589-8511 Japan
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo- ku, Kyoto, 602-8566 Japan
| | - Aya Kadota
- Department of Public Health, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga 520-2192 Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga 520-2192 Japan
| | - Katsuyuki Miura
- Department of Public Health, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga 520-2192 Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga 520-2192 Japan
| | - Yoshikuni Kita
- Department of Public Health, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga 520-2192 Japan
- Faculty of Nursing Science, Tsuruga Nursing University, 78-2-1 Kizaki, Tsuruga, Fukui 914-0814 Japan
| | - Hiroaki Ikezaki
- Department of Comprehensive General Internal Medicine, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582 Japan
- Department of General Internal Medicine, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582 Japan
| | - Jun Otonari
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582 Japan
| | - Keitaro Tanaka
- Department of Preventive Medicine, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga, 849-8501 Japan
| | - Chisato Shimanoe
- Department of Pharmacy, Saga University Hospital, 5-1-1 Nabeshima, Saga, 849-8501 Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo- ku, Kyoto, 602-8566 Japan
| | - Isao Watanabe
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo- ku, Kyoto, 602-8566 Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, 467-8601 Japan
| | - Hiroko Nakagawa-Senda
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, 467-8601 Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550 Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550 Japan
| | - Yasufumi Kato
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550 Japan
| | - Rieko Okada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550 Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka, 422-8526 Japan
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima, 770-8503 Japan
| | - Takeshi Watanabe
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima, 770-8503 Japan
| | - Shiroh Tanoue
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544 Japan
| | - Chihaya Koriyama
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544 Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-ku, Nagoya, 464-8681 Japan
| | - Yuriko N. Koyanagi
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-ku, Nagoya, 464-8681 Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, 666-2 Nitona-cho, Chuo-ku, Chiba, 260-8717 Japan
| | - Miho Kusakabe
- Cancer Prevention Center, Chiba Cancer Center Research Institute, 666-2 Nitona-cho, Chuo-ku, Chiba, 260-8717 Japan
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, 1-1-20 Daiko-Minami, Higashi-ku, Nagoya, 461-8673 Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045 Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550 Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-ku, Nagoya, 464-8681 Japan
- Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550 Japan
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Watanabe T, Arisawa K, Nguyen TV, Ishizu M, Katsuura-Kamano S, Hishida A, Tamura T, Kato Y, Okada R, Ibusuki R, Koriyama C, Suzuki S, Otani T, Koyama T, Tomida S, Kuriki K, Takashima N, Miyagawa N, Wakai K, Matsuo K. Coffee and metabolic phenotypes: A cross-sectional analysis of the Japan multi-institutional collaborative cohort (J-MICC) study. Nutr Metab Cardiovasc Dis 2023; 33:620-630. [PMID: 36710119 DOI: 10.1016/j.numecd.2022.12.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 12/07/2022] [Accepted: 12/23/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND AIMS To date, the relationship between coffee consumption and metabolic phenotypes has hardly been investigated and remains controversial. Therefore, the aim of this cross-sectional study is to examine the associations between coffee consumption and metabolic phenotypes in a Japanese population. METHODS AND RESULTS We analyzed the data of 26,363 subjects (aged 35-69 years) in the baseline survey of the Japan Multi-Institutional Collaborative Cohort Study. Coffee consumption was assessed using a questionnaire. Metabolic Syndrome (MetS) was defined according to the Joint Interim Statement Criteria of 2009, using body mass index (BMI) instead of waist circumference. Subjects stratified by the presence or absence of obesity (normal weight: BMI <25 kg/m2; obesity: BMI ≥25 kg/m2) were classified by the number of MetS components (metabolically healthy: no components; metabolically unhealthy: one or more components) other than BMI. In multiple logistic regression analyses adjusted for sex, age, and other potential confounders, high coffee consumption (≥3 cups/day) was associated with a lower prevalence of MetS and metabolically unhealthy phenotypes both in normal weight (OR 0.83, 95% CI 0.76-0.90) and obese subjects (OR 0.83, 95% CI 0.69-0.99). Filtered/instant coffee consumption was inversely associated with the prevalence of MetS and metabolically unhealthy phenotypes, whereas canned/bottled/packed coffee consumption was not. CONCLUSION The present results suggest that high coffee consumption, particularly filtered/instant coffee, is inversely associated with the prevalence of metabolically unhealthy phenotypes in both normal weight and obese Japanese adults.
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Affiliation(s)
- Takeshi Watanabe
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
| | - Kokichi Arisawa
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Tien Van Nguyen
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Masashi Ishizu
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yasufumi Kato
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Rieko Okada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Rie Ibusuki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Chihaya Koriyama
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Takahiro Otani
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Satomi Tomida
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan; Department of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Naoyuki Takashima
- Department of Public Health, Faculty of Medicine, Kindai University, Osaka, Japan; Department of Public Health, Shiga University of Medical Science, Otsu, Japan
| | - Naoko Miyagawa
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan; Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan; Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Development of a data platform for monitoring personal health records in Japan: The Sustaining Health by Integrating Next-generation Ecosystems (SHINE) Study. PLoS One 2023; 18:e0281512. [PMID: 36787325 PMCID: PMC9928020 DOI: 10.1371/journal.pone.0281512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 01/25/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND The Sustaining Health by Integrating Next-generation Ecosystems (SHINE) Study was developed as a data platform that incorporates personal health records (PHRs) into health-related data at the municipal level in Japan. This platform allows analyses of the associations between PHRs and future health statuses, and supports the production of evidence for developing preventive care interventions. Herein, we introduce the SHINE Study's profile and describe its use in preliminary analyses. METHODS The SHINE Study involves the collection of participants' health measurements and their addition to various health-related data from the Longevity Improvement & Fair Evidence (LIFE) Study. With cooperation from municipal governments, measurements can be acquired from persons enrolled in government-led long-term care prevention classes and health checkups who consent to participate in the SHINE Study. For preliminary analyses, we collected salivary test measurements, lifelog measurements, and gait measurements; these were linked with the LIFE Study's database. We analyzed the correlations between these measurements and the previous year's health care expenditures. RESULTS We successfully linked PHR data of 33 participants for salivary test measurements, 44 participants for lifelog measurements, and 32 participants for gait measurements. Only mean torso speed in the gait measurements was significantly correlated with health care expenditures (r = -0.387, P = 0.029). CONCLUSION The SHINE Study was developed as a data platform to collect and link PHRs with the LIFE Study's database. The analyses undertaken with this platform are expected to contribute to the development of preventive care tools and promote health in Japan.
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Nakamura S, Fang X, Saito Y, Narimatsu H, Ota A, Ikezaki H, Shimanoe C, Tanaka K, Kubo Y, Tsukamoto M, Tamura T, Hishida A, Oze I, Koyanagi YN, Nakamura Y, Kusakabe M, Takezaki T, Nishimoto D, Suzuki S, Otani T, Kuriyama N, Matsui D, Kuriki K, Kadota A, Nakamura Y, Arisawa K, Katsuura-Kamano S, Nakatochi M, Momozawa Y, Kubo M, Takeuchi K, Wakai K. Effects of gene-lifestyle interactions on obesity based on a multi-locus risk score: A cross-sectional analysis. PLoS One 2023; 18:e0279169. [PMID: 36753494 PMCID: PMC9907830 DOI: 10.1371/journal.pone.0279169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 12/01/2022] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND The relationship between lifestyle and obesity is a major focus of research. Personalized nutrition, which utilizes evidence from nutrigenomics, such as gene-environment interactions, has been attracting attention in recent years. However, evidence for gene-environment interactions that can inform treatment strategies is lacking, despite some reported interactions involving dietary intake or physical activity. Utilizing gene-lifestyle interactions in practice could aid in optimizing interventions according to genetic risk. METHODS This study aimed to elucidate the effects of gene-lifestyle interactions on body mass index (BMI). Cross-sectional data from the Japan Multi-Institutional Collaborative Cohort Study were used. Interactions between a multi-locus genetic risk score (GRS), calculated from 76 ancestry-specific single nucleotide polymorphisms, and nutritional intake or physical activity were assessed using a linear mixed-effect model. RESULTS The mean (standard deviation) BMI and GRS for all participants (n = 12,918) were 22.9 (3.0) kg/m2 and -0.07 (0.16), respectively. The correlation between GRS and BMI was r(12,916) = 0.13 (95% confidence interval [CI] 0.11-0.15, P < 0.001). An interaction between GRS and saturated fatty acid intake was observed (β = -0.11, 95% CI -0.21 to -0.02). An interaction between GRS and n-3 polyunsaturated fatty acids was also observed in the females with normal-weight subgroup (β = -0.12, 95% CI -0.22 to -0.03). CONCLUSION Our results provide evidence of an interaction effect between GRS and nutritional intake and physical activity. This gene-lifestyle interaction provides a basis for developing prevention or treatment interventions for obesity according to individual genetic predisposition.
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Affiliation(s)
- Sho Nakamura
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan
- * E-mail:
| | - Xuemin Fang
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan
| | - Yoshinobu Saito
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan
- Center for Innovation Policy, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan
- Faculty of Sport Management, Nippon Sport Science University, Yokohama, Kanagawa, Japan
| | - Hiroto Narimatsu
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan
- Center for Innovation Policy, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan
- Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan
| | - Azusa Ota
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Fukuoka, Japan
| | - Hiroaki Ikezaki
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Fukuoka, Japan
- Department of Comprehensive General Internal Medicine, Faculty of Medical Sciences, Fukuoka, Fukuoka, Japan
| | - Chisato Shimanoe
- Department of Pharmacy, Saga University Hospital, Nabeshima, Saga, Japan
| | - Keitaro Tanaka
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Nabeshima, Saga, Japan
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Mineko Tsukamoto
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan
| | - Yuriko N. Koyanagi
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Chiba, Japan
| | - Miho Kusakabe
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Chiba, Japan
| | - Toshiro Takezaki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Sakuragaoka, Kagoshima, Japan
| | - Daisaku Nishimoto
- School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Kagoshima, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Takahiro Otani
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Nagato Kuriyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Nagoya, Aichi, Japan
- Shizuoka Graduate University of Public Health, Shizuoka, Shizuoka, Japan
| | - Daisuke Matsui
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Nagoya, Aichi, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Shizuoka, Japan
| | - Aya Kadota
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Yasuyuki Nakamura
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Shiga, Japan
- Takeda Hospital Medical Examination Center, Kyoto, Kyoto, Japan
| | - Kokichi Arisawa
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Tokushima, Japan
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Tokushima, Japan
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Michiaki Kubo
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Sendai, Miyagi, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
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Lovis C, Watanabe K, Takano Y, Nakasho K, Nakamura S, Wang Y, Narimatsu H. A Privacy-Preserving Distributed Medical Data Integration Security System for Accuracy Assessment of Cancer Screening: Development Study of Novel Data Integration System. JMIR Med Inform 2022; 10:e38922. [PMID: 36583931 PMCID: PMC9840098 DOI: 10.2196/38922] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 11/04/2022] [Accepted: 11/29/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Big data useful for epidemiological research can be obtained by integrating data corresponding to individuals between databases managed by different institutions. Privacy information must be protected while performing efficient, high-level data matching. OBJECTIVE Privacy-preserving distributed data integration (PDDI) enables data matching between multiple databases without moving privacy information; however, its actual implementation requires matching security, accuracy, and performance. Moreover, identifying the optimal data item in the absence of a unique matching key is necessary. We aimed to conduct a basic matching experiment using a model to assess the accuracy of cancer screening. METHODS To experiment with actual data, we created a data set mimicking the cancer screening and registration data in Japan and conducted a matching experiment using a PDDI system between geographically distant institutions. Errors similar to those found empirically in data sets recorded in Japanese were artificially introduced into the data set. The matching-key error rate of the data common to both data sets was set sufficiently higher than expected in the actual database: 85.0% and 59.0% for the data simulating colorectal and breast cancers, respectively. Various combinations of name, gender, date of birth, and address were used for the matching key. To evaluate the matching accuracy, the matching sensitivity and specificity were calculated based on the number of cancer-screening data points, and the effect of matching accuracy on the sensitivity and specificity of cancer screening was estimated based on the obtained values. To evaluate the performance, we measured central processing unit use, memory use, and network traffic. RESULTS For combinations with a specificity ≥99% and high sensitivity, the date of birth and first name were used in the data simulating colorectal cancer, and the matching sensitivity and specificity were 55.00% and 99.85%, respectively. In the data simulating breast cancer, the date of birth and family name were used, and the matching sensitivity and specificity were 88.71% and 99.98%, respectively. Assuming the sensitivity and specificity of cancer screening at 90%, the apparent values decreased to 74.90% and 89.93%, respectively. A trial calculation was performed using a combination with the same data set and 100% specificity. When the matching sensitivity was 82.26%, the apparent screening sensitivity was maintained at 90%, and the screening specificity decreased to 89.89%. For 214 data points, the execution time was 82 minutes and 26 seconds without parallelization and 11 minutes and 38 seconds with parallelization; 19.33% of the calculation time was for the data-holding institutions. Memory use was 3.4 GB for the PDDI server and 2.7 GB for the data-holding institutions. CONCLUSIONS We demonstrated the rudimentary feasibility of introducing a PDDI system for cancer-screening accuracy assessment. We plan to conduct matching experiments based on actual data and compare them with the existing methods.
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Affiliation(s)
| | - Kaname Watanabe
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan.,Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Japan
| | - Yuuki Takano
- Graduate School of Engineering, Osaka University, Suita, Japan
| | - Kazuhisa Nakasho
- Graduate School of Science and Technology for Innovation, Yamaguchi University, Ube, Japan
| | - Sho Nakamura
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan.,Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan
| | - Yuntao Wang
- Graduate School of Engineering, Osaka University, Suita, Japan
| | - Hiroto Narimatsu
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan.,Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Japan.,Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan
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Iwagami M, Goto A, Katagiri R, Sutoh Y, Koyanagi YN, Nakatochi M, Nakano S, Hanyuda A, Narita A, Shimizu A, Tanno K, Hozawa A, Kinoshita K, Oze I, Ito H, Yamaji T, Sawada N, Nakamura Y, Nakamura S, Kuriki K, Suzuki S, Hishida A, Kasugai Y, Imoto I, Suzuki M, Momozawa Y, Takeuchi K, Yamamoto M, Sasaki M, Matsuo K, Tsugane S, Wakai K, Iwasaki M. Blood Lipids and the Risk of Colorectal Cancer: Mendelian Randomization Analyses in the Japanese Consortium of Genetic Epidemiology Studies. Cancer Prev Res (Phila) 2022; 15:827-836. [PMID: 36040498 DOI: 10.1158/1940-6207.capr-22-0146] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 07/07/2022] [Accepted: 08/25/2022] [Indexed: 01/31/2023]
Abstract
The associations between blood lipids, including total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), triglycerides, and low-density lipoprotein cholesterol (LDL-C), and colorectal cancer risk are controversial. We evaluated potential causal relationships between blood lipids and colorectal cancer risk. Using the baseline data from the Japanese Consortium of Genetic Epidemiology studies, we estimated the single-nucleotide polymorphism (SNP)-exposure associations (n = 34,546 for TC, n = 50,290 for HDL-C, n = 51,307 for triglycerides, and n = 30,305 for LDL-C). We also estimated the SNP-outcome associations in another Japanese dataset (n = 7,936 colorectal cancer cases and n = 38,042 controls). We conducted Mendelian randomization (MR) analyses for the association between each blood lipid type and the risk of colorectal cancer using an inverse variance-weighted method. The total variances explained by the selected SNPs in TC (68 SNPs), HDL-C (50 SNPs), log-transformed triglycerides (26 SNPs), and LDL-C (35 SNPs) were 7.0%, 10.0%, 6.2%, and 5.7%, respectively. The odds ratios for colorectal cancer were 1.15 [95% confidence interval (CI), 1.01-1.32] per 1 standard deviation (SD; 33.3 mg/dL) increase in TC, 1.11 (95% CI, 0.98-1.26) per 1 SD (15.4 mg/dL) increase in HDL-C, 1.06 (95% CI, 0.90-1.26) per 1 SD (0.5 log-mg/dL) increase in log-transformed triglycerides, and 1.17 (95% CI, 0.91-1.50) per 1 SD (29.6 mg/dL) increase in LDL-C. Sensitivity analyses consistently suggested the positive association between TC and colorectal cancer, whereas results of each lipid component were inconsistent. In conclusion, this large MR study of a Japanese population showed a potentially causal association between high TC and colorectal cancer risk, although the association between each lipid component and colorectal cancer remained inconclusive. PREVENTION RELEVANCE In this large MR analysis of a Japanese population, a positive association was found between genetically predicted high total cholesterol (TC) levels and an increased risk of colorectal cancer. Therefore, lowering TC levels by lifestyle modifications or medications may be justified for the purpose of preventing colorectal cancer.
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Affiliation(s)
- Masao Iwagami
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan.,Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Atsushi Goto
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan.,Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Kanagawa, Japan
| | - Ryoko Katagiri
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Yoichi Sutoh
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank, Iwate, Japan
| | - Yuriko N Koyanagi
- Division of Cancer Information and Control, Aichi Cancer Center, Aichi, Japan
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Shiori Nakano
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Akiko Hanyuda
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan.,Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
| | - Akira Narita
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Atsushi Shimizu
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank, Iwate, Japan
| | - Kozo Tanno
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Atsushi Hozawa
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Kengo Kinoshita
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center, Aichi, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center, Aichi, Japan.,Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Sho Nakamura
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kanagawa, Japan.,Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Kanagawa, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Aichi, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Yumiko Kasugai
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center, Aichi, Japan
| | - Issei Imoto
- Aichi Cancer Center Research Institute, Aichi, Japan
| | - Midori Suzuki
- Core Facilities, Aichi Cancer Center Research Institute, Aichi, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center, Aichi, Japan.,Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan.,National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan.,Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
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Irregular sleep and all-cause mortality: A large prospective cohort study. Sleep Health 2022; 8:678-683. [PMID: 36229362 DOI: 10.1016/j.sleh.2022.08.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 08/23/2022] [Accepted: 08/31/2022] [Indexed: 12/13/2022]
Abstract
OBJECTIVES Previous studies using objective parameters have shown that irregular sleep is associated with the disease incidence, progression, or mortality. This study aimed to determine the association between subjective sleep duration and sleep regularity, with mortality in a large population. METHODS Participants were from the Japan Multi-Institutional Collaborative Cohort study. We obtained information from each participant on sleep duration, sleep regularity, and demographics and overall lifestyle using self-administered questionnaires. We defined sleep regularity according to participants' subjective assessment of sleep/wake time regularity. Participants (n = 81,382, mean age: 58.1 ± 9.1years, males: 44.2%) were classified into 6 groups according to sleep duration and sleep regularity. Hazard ratios (HR) for time-to-event of death were calculated using the Cox proportional hazards model. RESULTS The mean follow-up period was 9.1 years and the mean sleep duration was 6.6 h/day. Irregular sleep significantly increased the risk of all-cause mortality in all models compared with regular sleep (HR 1.30, 95% confidence interval; CI, 1.18-1.44), regardless of sleep duration. Multivariable analysis of the 6 groups by sleep pattern (sleep regularity and duration) showed irregular sleep and sleep durations of <6 h/day, 6 to <8 h/day, or ≥8 h/day were associated with a 1.2-1.5-fold increases in mortality, compared to regular sleep and sleep duration of 6 to <8 h/day. CONCLUSIONS Our study shows an association between sleep irregularity and all-cause mortality in a large Japanese population. Our findings provide further confirmation of the need to consider not only sleep duration, but also the regularity aspect of sleep schedules.
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Association between Sedentary Time and Falls among Middle-Aged Women in Japan. Healthcare (Basel) 2022; 10:healthcare10122354. [PMID: 36553878 PMCID: PMC9777593 DOI: 10.3390/healthcare10122354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 11/16/2022] [Accepted: 11/21/2022] [Indexed: 11/25/2022] Open
Abstract
There are many reports on the risk of falls in older adults but none regarding the risk among middle-aged people. We aimed to determine fall risk factors among middle-aged women. The participants comprised 1421 women aged 40 to 64 years; anthropometric and other measurements were obtained, and lifestyle factors were examined using a self-administered questionnaire. The participants were categorized into two groups (No-fall and Fall/Almost-fall) based on their questionnaire responses. The No-fall and Fall/Almost-fall groups comprised 1114 and 307 participants, respectively. Body mass index, abdominal circumference measurements, and prevalence of dyslipidemia were significantly higher in the Fall/Almost-fall group. Additionally, those in the Fall/Almost-fall group had a shorter two-step test, experienced difficulty performing the 40 cm single-leg sit-to-stand test, and had higher 25-question Geriatric Locomotive Function Scale (GLFS-25) scores than those in the No-fall group. The results of the adjusted logistic regression analysis indicated that physical activity, higher GLFS-25 scores, and sedentary time of more than seven hours were all risk factors for falling or almost falling. Longer sedentary time is a new risk factor for falls among middle-aged women. It is necessary for people to be concerned with their sedentary behavior, such as by reducing or interrupting continuous sedentary time.
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Sawaguchi E, Nakamura S, Watanabe K, Tsuno K, Ikegami H, Shinmura N, Saito Y, Narimatsu H. COVID-19-related stigma and its relationship with mental wellbeing: A cross-sectional analysis of a cohort study in Japan. Front Public Health 2022; 10:1010720. [PMID: 36249227 PMCID: PMC9558281 DOI: 10.3389/fpubh.2022.1010720] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 09/07/2022] [Indexed: 01/27/2023] Open
Abstract
Objective Social stigma related to coronavirus disease (COVID-19), i. e., COVID-19 stigma, forms a burden on people socially, economically, and mentally. This study assessed COVID-19 stigma using a scale to identify a population likely to exhibit higher prejudice against COVID-19 itself as well as those infected with COVID-19. Methods We adapted and modified the Cancer Stigma Scale to assess COVID-19 stigma and used it as the baseline survey of a cohort study in Japan. The questionnaire was disseminated to 1,573 participants (51.7% men) between December 2020 and March 2021. The questionnaire items included the infection status of individuals close to the respondent and their preventive behaviors related to COVID-19, quality of life (QOL; using the EuroQoL 5-Dimension 5-Level [EQ-5D-5L]), and psychological distress (using the 6-item Kessler Psychological Distress Scale [K6]). Exploratory and confirmatory factor analyses were performed to validate the COVID-19 stigma scale, and we further used the structural equation modeling (SEM) to assess the relationship with QOL and psychological distress. Results COVID-19 stigma was calculated for the 257 (16.3%) participants who responded to the questionnaire. The mean age (standard deviation) was 54.5 (14.4) years, and 50.2% were men. Factor analysis revealed a five-factor model: Awkwardness (feeling uncomfortable being with a person infected before), Severity (fear of not being able to return to normal after infection), Avoidance (attitude of avoiding infected persons), Policy Opposition (expecting more public funding investment), and Personal Responsibility (believing that infected persons themselves are responsible for their infection). Participants > 70 years had the highest scores among other age groups considering all factors except for Policy Opposition. Standardized coefficients in SEM for COVID-19 stigma (latent variable) was highest for Severity (beta = 0.86). Regression coefficients of COVID-19 stigma on K6 and QOL were 0.21 (95% confidence interval [CI] 0.074-0.342) and -0.159 (95% CI -0.295-0.022), respectively. Conclusion People aged ≥ 70 years are more likely to exhibit COVID-19 stigma. Additionally, the results indicate that COVID-19 stigma impacts QOL and psychological distress.
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Affiliation(s)
- Emiko Sawaguchi
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan
| | - Sho Nakamura
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan,Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan,*Correspondence: Sho Nakamura
| | - Kaname Watanabe
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan,Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Japan
| | - Kanami Tsuno
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan
| | - Hiromi Ikegami
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan,Hygeia Communication General Incorporated Association, Kawasaki, Japan
| | - Naoko Shinmura
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan,Hygeia Communication General Incorporated Association, Kawasaki, Japan
| | - Yoshinobu Saito
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan,Faculty of Sport Management, Nippon Sport Science University, Yokohama, Japan
| | - Hiroto Narimatsu
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan,Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan,Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Japan
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Fujii R, Hishida A, Nakatochi M, Tsuboi Y, Suzuki K, Kondo T, Ikezaki H, Hara M, Okada R, Tamura T, Shimoshikiryo I, Suzuki S, Koyama T, Kuriki K, Takashima N, Arisawa K, Momozawa Y, Kubo M, Takeuchi K, Wakai K, Matsuo K, Tanaka K, Miura K, Kita Y, Takezaki T, Nagase H, Mikami H, Uehara R, Narimatsu H. Associations of Genome-Wide Polygenic Risk Score and Risk Factors With Hypertension in a Japanese Population. Circ Genom Precis Med 2022; 15:e003612. [DOI: 10.1161/circgen.121.003612] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background:
Although many polygenic risk scores (PRS) for cardiovascular traits have been developed in European populations, it is an urgent task to construct a PRS and to evaluate its ability in non-European populations. We developed a genome-wide PRS for blood pressure in a Japanese population and examined the associations between this PRS and hypertension prevalence.
Methods:
We performed a cross-sectional study in 11 252 Japanese individuals who participated in the J-MICC (Japan Multi-Institutional Collaborative Cohort) study. Using publicly available GWAS summary statistics from Biobank Japan, we developed the PRS in the target data (n=7876). With >30 000 single nucleotide polymorphisms, we evaluated PRS performance in the test data (n=3376). Hypertension was defined as systolic blood pressure of 130 mm Hg or more, or diastolic blood pressure of 85 mm Hg or more, or taking an antihypertensive drug.
Results:
Compared with the middle PRS quintile, the prevalence of hypertension at the top PRS quintile was higher independently from traditional risk factors (odds ratio, 1.73 [95% CI, 1.32–2.27]). The difference of mean systolic blood pressure and diastolic blood pressure between the middle and the top PRS quintile was 4.55 (95% CI, 2.26–6.85) and 2.32 (95% CI, 0.86–3.78) mm Hg, respectively. Subgroups reflecting combinations of Japanese PRS and modifiable lifestyles and factors (smoking, alcohol intake, sedentary time, and obesity) were associated with the prevalence of hypertension. A European-derived PRS was not associated with hypertension in our participants.
Conclusions:
A PRS for blood pressure was significantly associated with hypertension and BP traits in a general Japanese population. Our findings also highlighted the importance of a combination of PRS and risk factors for identifying high-risk subgroups.
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Affiliation(s)
- Ryosuke Fujii
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, Toyoake, Japan (R.F., Y.T., K.S.), Nagoya University Graduate School of Medicine, Nagoya, Japan
- Division of interactive Medical & Healthcare Systems, Department of Integrated Health Sciences (R.F., T. Kondo), Nagoya University Graduate School of Medicine, Nagoya, Japan
- Institute for Biomedicine, Eurac Research (affiliated to the University of Lübeck), Bolzano/Bozen, Italy (R.F.)
| | - Asahi Hishida
- Department of Preventive Medicine (A.H., R.O., T.T., K.T., K.W.), Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences (M.N.), Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoshiki Tsuboi
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, Toyoake, Japan (R.F., Y.T., K.S.), Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Koji Suzuki
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, Toyoake, Japan (R.F., Y.T., K.S.), Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takaaki Kondo
- Division of interactive Medical & Healthcare Systems, Department of Integrated Health Sciences (R.F., T. Kondo), Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hiroaki Ikezaki
- Department of Comprehensive General Internal Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (H.I.)
| | - Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan (M.H.)
| | - Rieko Okada
- Department of Preventive Medicine (A.H., R.O., T.T., K.T., K.W.), Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takashi Tamura
- Department of Preventive Medicine (A.H., R.O., T.T., K.T., K.W.), Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Ippei Shimoshikiryo
- Department of International Island & Community Medicine, Kagoshima University Graduate School of Medical & Dental Sciences, Kagoshima, Japan (I.S.)
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan (S.S.)
| | - Teruhide Koyama
- Department of Epidemiology for Community Health & Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan (T. Koyama)
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food & Nutritional Sciences, University of Shizuoka, Shizuoka, Shizuoka (K.K.)
| | - Naoyuki Takashima
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan (N.T.)
- Department of Public Health, Kindai University Faculty of Medicine, Osaka, Japan (N.T.)
| | - Kokichi Arisawa
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Scinces, Tokushima, Japan (K.A.)
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Kanagawa, Japan (Y.M., M.K.)
| | - Michiaki Kubo
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Kanagawa, Japan (Y.M., M.K.)
| | - Kenji Takeuchi
- Department of Preventive Medicine (A.H., R.O., T.T., K.T., K.W.), Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kenji Wakai
- Department of Preventive Medicine (A.H., R.O., T.T., K.T., K.W.), Nagoya University Graduate School of Medicine, Nagoya, Japan
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37
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Fukuda H, Ishiguro C, Ono R, Kiyohara K. The Longevity Improvement & Fair Evidence (LIFE) Study: Overview of the Study Design and Baseline Participant Profile. J Epidemiol 2022. [PMID: 35753792 PMCID: PMC10319523 DOI: 10.2188/jea.je20210513] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The Longevity Improvement & Fair Evidence (LIFE) Study, which was launched in 2019, is a multi-region community-based database project that aims to generate evidence toward extending healthy life expectancy and reducing health disparities in Japan. Herein, we describe the LIFE Study's design and baseline participant profile. METHODS Municipalities participating in the LIFE Study provide data from government-administered health insurance enrollees and public assistance recipients. These participants cover all disease types and age groups. Centered on healthcare claims data, the project also collects long-term care claims data, health checkup data, vaccination records, residence-related information, and income-related information. The different data types are converted into a common data model containing five modules (health care, long-term care, health checkup, socioeconomic status, and health services). We calculated the descriptive statistics of participants at baseline in 2018. RESULTS The LIFE Study currently stores data from 1,420,437 residents of 18 municipalities. The health care module contains 1,280,756 participants (mean age: 65.2 years), the long-term care module contains 189,069 participants (mean age: 84.3 years), and the health checkup module contains 274,375 participants (mean age: 69.0 years). Although coverage and follow-up rates were lower among younger persons, the health care module includes 74,151 children (0-19 years), 273,157 working-age adults (20-59 years), and 933,448 older persons (≥60 years). CONCLUSION The LIFE Study provides data from over 1 million participants and can facilitate a wide variety of life-course research and cohort studies. This project is expected to be a useful platform for generating real-world evidence from Japan.
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Affiliation(s)
- Haruhisa Fukuda
- Department of Health Care Administration and Management, Kyushu University Graduate School of Medical Sciences.,Center for Cohort Studies, Kyushu University Graduate School of Medical Sciences
| | - Chieko Ishiguro
- Section of Clinical Epidemiology, Department of Data Science, Center for Clinical Sciences, National Center for Global Health and Medicine
| | - Rei Ono
- Department of Public Health, Kobe University Graduate School of Health Sciences
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38
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Kenny RA. Lifestyle and lifespan-opportunities for intervention. Age Ageing 2022; 51:6604742. [PMID: 35679194 DOI: 10.1093/ageing/afac110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Rose Anne Kenny
- Professor of Medical Gerontology, Trinity College Dublin Ireland
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39
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Ohashi M, Miura K, Takashima N, Kadota A, Saito Y, Tsuji S, Murakami T, Kadomatsu Y, Nagayoshi M, Hara M, Tanaka K, Tamura T, Hishida A, Takezaki T, Shimoshikiryo I, Ozaki E, Watanabe I, Suzuki S, Watanabe M, Kuriki K, Arisawa K, Katsuura-Kamano S, Yamasaki S, Ikezaki H, Oze I, Koyanagi YN, Mikami H, Nakamura Y, Takeuchi K, Kita Y, Wakai K. The association of reproductive history with hypertension and obesity according to menopausal status: the J-MICC Study. Hypertens Res 2022; 45:708-714. [PMID: 35031776 DOI: 10.1038/s41440-021-00820-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 10/26/2021] [Accepted: 11/08/2021] [Indexed: 11/08/2022]
Abstract
Previous studies have reported that the number of pregnancies and childbirths affected the risk of cardiovascular diseases (CVDs). However, the influence of reproductive history on hypertension and obesity, which are important risk factors for CVDs, is still unclear. Moreover, this association may vary depending on menopausal status. We evaluated the association of reproductive history with hypertension and obesity using a large cross-sectional dataset from the Japan Multi-Institutional Collaborative Cohort Study (J-MICC Study). At the baseline survey, physical data, blood samples, and self-reported health questionnaires were collected. Participants with insufficient data were excluded, and 24,558 women from eight study regions were included in this study. Logistic regression analysis was conducted to evaluate the association of reproductive history with hypertension and obesity using multivariable-adjusted odds ratios. In premenopausal women, childbirth showed a generally protective effect on hypertension but not on obesity. In postmenopausal women, childbirth was positively associated with obesity and hypertension but not with hypertension after adjusting for BMI. In conclusion, reproductive history was associated with hypertension and obesity in a large Japanese population, and this association differed between premenopausal and postmenopausal women.
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Affiliation(s)
- Mizuki Ohashi
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan.
- Department of Obstetrics and Gynecology, Shiga University of Medical Science, Otsu, Japan.
| | - Katsuyuki Miura
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Naoyuki Takashima
- Department of Public Health, Faculty of Medicine, Kindai University, Osaka-Sayama, Japan
| | - Aya Kadota
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Yoshino Saito
- Department of Health Science, Aino University, Osaka, Japan
| | - Shunichiro Tsuji
- Department of Obstetrics and Gynecology, Shiga University of Medical Science, Otsu, Japan
| | - Takashi Murakami
- Department of Obstetrics and Gynecology, Shiga University of Medical Science, Otsu, Japan
| | - Yuka Kadomatsu
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Keitaro Tanaka
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Toshiro Takezaki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Ippei Shimoshikiryo
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Isao Watanabe
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Miki Watanabe
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Kokichi Arisawa
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Sho Yamasaki
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Hiroaki Ikezaki
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan
- Department of Comprehensive General Internal Medicine, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center, Nagoya, Japan
| | - Yuriko N Koyanagi
- Division of Cancer Information and Control, Aichi Cancer Center, Nagoya, Japan
| | - Haruo Mikami
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoshikuni Kita
- Faculty of Nursing Science, Tsuruga Nursing University, Tsuruga, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
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40
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Hishida A, Yamada H, Ando Y, Okugawa Y, Shiozawa M, Miyagi Y, Daigo Y, Toiyama Y, Shirai Y, Tanaka K, Kubo Y, Okada R, Nagayoshi M, Tamura T, Mori A, Kondo T, Hamajima N, Takeuchi K, Wakai K. Investigation of miRNA expression profiles using cohort samples reveals potential early detectability of colorectal cancers by serum miR-26a-5p before clinical diagnosis. Oncol Lett 2022; 23:87. [PMID: 35126729 PMCID: PMC8805182 DOI: 10.3892/ol.2022.13207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 01/06/2022] [Indexed: 11/25/2022] Open
Abstract
Previous studies have investigated the usefulness of microRNA (miRNA/miR) expression data for the early detection of colorectal cancer (CRC). However, limited data are available regarding miRNAs that detect CRC before clinical diagnoses. Accordingly, the present study investigated the early detectability of CRC by miRNAs using the preserved serum samples of the cohort participants affected with CRC within 2 years of study enrollment. First, the significant miRNAs were revealed using clinical CRC samples for a (seven early CRCs and seven controls) microarray analysis based on significance analysis of microarrays. Next, replicability was verified by reverse transcription-quantitative (RT-q)PCR (eight early CRCs and eight controls, together with 12 CRCs and 12 controls). Finally, early detectability was tested using the cohort samples of Japan Multi-Institutional Collaborative Cohort Study (17 CRCs and 17 controls) to reveal how a certain number of patients developed CRC within 2 years after participation. In the discovery phase, miRNA expression measurements were conducted using a 3D-Gene Human miRNA Oligo Chip for 2,555 miRNAs, and RT-qPCR analyses were performed to validate the replicability. In the first validation set with eight CRCs with early clinical stage and eight age- and gender-matched controls, miR-26a-5p and miR-223-3p demonstrated the highest diagnostic accuracy of area under the curve (AUC)=1.000 (sensitivity and specificity 100%). In an examination of the predictability of CRC incidence using pre-clinical cohort samples, miR-26a-5p demonstrated good predictability of advanced CRC incidence with an AUC of 0.840. Overall, the present study revealed serum miR-26a-5p as a potential early detection marker for CRC.
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Affiliation(s)
- Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
| | - Hiroya Yamada
- Department of Hygiene, Fujita Health University School of Medical Sciences, Toyoake, Aichi 470-1192, Japan
| | - Yoshitaka Ando
- Department of Informative Clinical Medicine, Fujita Health University School of Medical Sciences, Toyoake, Aichi 470-1192, Japan
| | - Yoshinaga Okugawa
- Department of Genomic Medicine, Mie University Graduate School of Medicine, Tsu, Mie 514-8507, Japan.,Department of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, Tsu, Mie 514-8507, Japan
| | - Manabu Shiozawa
- Department of Gastrointestinal Surgery, Kanagawa Cancer Center Hospital, Yokohama, Kanagawa 241-8515, Japan
| | - Yohei Miyagi
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa 241-8515, Japan
| | - Yataro Daigo
- Center for Antibody and Vaccine Therapy, Institute of Medical Science, Research Hospital, The University of Tokyo, Tokyo 108-8639, Japan.,Department of Medical Oncology and Cancer Center, Center for Advanced Medicine Against Cancer, Shiga University of Medical Science, Otsu, Shiga 520-2192, Japan
| | - Yuji Toiyama
- Department of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, Tsu, Mie 514-8507, Japan
| | - Yumiko Shirai
- Department of Nutrition, Iga City General Hospital, Iga, Mie 518-0823, Japan
| | - Koji Tanaka
- Department of Surgery, Iga City General Hospital, Iga, Mie 518-0823, Japan
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
| | - Rieko Okada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
| | - Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
| | - Atsuyoshi Mori
- Seirei Preventive Health Care Center, Hamamatsu, Shizuoka 433-8558, Japan
| | - Takaaki Kondo
- Department of Pathophysiological Laboratory Sciences, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
| | - Nobuyuki Hamajima
- Department of Healthcare Administration, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
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41
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Koga K, Hara M, Shimanoe C, Nishida Y, Furukawa T, Iwasaka C, Tanaka K, Otonari J, Ikezaki H, Kubo Y, Kato Y, Tamura T, Hishida A, Matsuo K, Ito H, Nakamura Y, Kusakabe M, Nishimoto D, Shibuya K, Suzuki S, Watanabe M, Ozaki E, Matsui D, Kuriki K, Takashima N, Kadota A, Arisawa K, Katsuura-Kamano S, Takeuchi K, Wakai K. Association of perceived stress and coping strategies with the renal function in middle-aged and older Japanese men and women. Sci Rep 2022; 12:291. [PMID: 34997128 PMCID: PMC8742036 DOI: 10.1038/s41598-021-04324-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 12/20/2021] [Indexed: 11/10/2022] Open
Abstract
Elucidating the risk factors for chronic kidney disease is important for preventing end-stage renal disease and reducing mortality. However, little is known about the roles of psychosocial stress and stress coping behaviors in deterioration of the renal function, as measured by the estimated glomerular filtration rate (eGFR). This cross-sectional study of middle-aged and older Japanese men (n = 31,703) and women (n = 38,939) investigated whether perceived stress and coping strategies (emotional expression, emotional support seeking, positive reappraisal, problem solving, and disengagement) were related to the eGFR, with mutual interactions. In multiple linear regression analyses adjusted for age, area, lifestyle factors, and psychosocial variables, we found a significant inverse association between perceived stress and the eGFR in men (Ptrend = 0.02), but not women. This male-specific inverse association was slightly attenuated after adjustment for the history of hypertension and diabetes and was more evident in lower levels of emotional expression (Pinteraction = 0.003). Unexpectedly, problem solving in men (Ptrend < 0.001) and positive reappraisal in women (Ptrend = 0.002) also showed an inverse association with the eGFR. Perceived stress may affect the eGFR, partly through the development of hypertension and diabetes. The unexpected findings regarding coping strategies require the clarification of the underlying mechanisms, including the hormonal and immunological aspects.
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Affiliation(s)
- Kayoko Koga
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan. .,Department of Nursing, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
| | - Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Chisato Shimanoe
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.,Department of Pharmacy, Saga University Hospital, Saga, Japan
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Takuma Furukawa
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.,Advanced Comprehensive Functional Recovery Center, Saga University Hospital, Saga, Japan
| | - Chiharu Iwasaka
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Keitaro Tanaka
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Jun Otonari
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Psychosomatic Medicine, International University of Health and Welfare Narita Hospital, Chiba, Japan
| | - Hiroaki Ikezaki
- Department of Comprehensive General Internal Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yasufumi Kato
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.,Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan.,Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Miho Kusakabe
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Daisaku Nishimoto
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.,School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Japan
| | - Keiichi Shibuya
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.,Department of Intensive Care Medicine, Kagoshima University Hospital, Kagoshima, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Miki Watanabe
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Daisuke Matsui
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Naoyuki Takashima
- Department of Public Health, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.,Department of Public Health, Shiga University of Medical Science, Otsu, Japan
| | - Aya Kadota
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
| | - Kokichi Arisawa
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Nagayoshi M, Takeuchi K, Tamada Y, Yasufumi K, Kubo Y, Okada R, Tamura T, Hishida A, Otonari J, Ikezaki H, Nishida Y, Shimanoe C, Koyanagi YN, Matsuo K, Haruo M, Miho K, Nishimoto D, Shibuya K, Suzuki S, Nishiyama T, Ozaki E, Watanabe I, Kuriki K, Takashima N, Kadota A, Arisawa K, Katsuura-Kamano S, Wakai K. Sex-specific Relationship between Stress Coping Strategies and All-Cause Mortality: Japan Multi-Institutional Collaborative Cohort Study. J Epidemiol 2021; 33:236-245. [PMID: 34565763 PMCID: PMC10043155 DOI: 10.2188/jea.je20210220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Stress coping strategies are related to health outcomes. However, there is no clear evidence for sex differences between stress-coping strategies and mortality. We investigated the relationship between all-cause mortality and stress-coping strategies, focusing on sex differences among Japanese adults. METHODS A total of 79,580 individuals aged 35-69 years participated in the Japan Multi-Institutional Collaborative Cohort Study between 2004 and 2014 and were followed up for mortality. The frequency of use of the five coping strategies was assessed using a questionnaire. Sex-specific, multivariable-adjusted hazard ratios (HRs) for using each coping strategy "sometimes," and "often/very often" (versus "very few" use) were computed for all-cause mortality. Furthermore, relationships were analyzed in specific follow-up periods when the proportion assumption was violated. RESULTS During the follow-up (median: 8.5 years), 1,861 mortalities were recorded. In women, three coping strategies were related to lower total mortality. The HRs (95% confidence intervals) for "sometimes" were 0.81 (0.67-0.97) for emotional expression, 0.79 (0.66-0.95) for emotional support-seeking, and 0.80 (0.66-0.98) for disengagement. Men who "sometimes" used emotional expression and sometimes or often used problem-solving and positive reappraisal had a 15-41% lower HRs for all-cause mortality. However, those relationships were dependent on the follow-up period. There was evidence that sex modified the relationships between emotional support-seeking and all-cause mortality (p for interaction = 0.03). CONCLUSIONS In a large Japanese population, selected coping strategies were associated with all-cause mortality. The relationship of emotional support-seeking was different between men and women.
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Affiliation(s)
- Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Yudai Tamada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Kato Yasufumi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Rieko Okada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Jun Otonari
- Department of Psychosomatic Medicine, Kyushu University Graduate School of Medical Sciences.,Department of Psychosomatic Medicine, International University of Health and Welfare Narita Hospital
| | - Hiroaki Ikezaki
- Department of Comprehensive General Internal Medicine, Kyushu University Graduate School of Medicine, Faculty of Medical Sciences
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University
| | | | - Yuriko N Koyanagi
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute
| | - Mikami Haruo
- Cancer Prevention Center, Chiba Cancer Center Research Institute
| | - Kusakabe Miho
- Cancer Prevention Center, Chiba Cancer Center Research Institute
| | - Daisaku Nishimoto
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences.,School of Health Sciences, Faculty of Medicine, Kagoshima University
| | - Keiichi Shibuya
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences.,Department of Emergency and Intensive Care Medicine, Kagoshima University Graduate School of Medical and Dental Sciences
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences
| | - Takeshi Nishiyama
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine
| | - Isao Watanabe
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka
| | - Naoyuki Takashima
- Department of Public Health, Kindai University Faculty of Medicine.,Department of Public Health, Shiga University of Medical Science
| | - Aya Kadota
- Center for Epidemiologic Research in Asia, Shiga University of Medical Science
| | - Kokichi Arisawa
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences
| | | | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
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Tomida S, Goodenowe DB, Koyama T, Ozaki E, Kuriyama N, Morita M, Yamazaki Y, Sakaguchi K, Uehara R, Taguchi T. Plasmalogen Deficiency and Overactive Fatty Acid Elongation Biomarkers in Serum of Breast Cancer Patients Pre- and Post-Surgery-New Insights on Diagnosis, Risk Assessment, and Disease Mechanisms. Cancers (Basel) 2021; 13:cancers13164170. [PMID: 34439324 PMCID: PMC8391794 DOI: 10.3390/cancers13164170] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 08/11/2021] [Accepted: 08/16/2021] [Indexed: 12/17/2022] Open
Abstract
Simple Summary Breast cancer (BC) is the most commonly diagnosed cancer in women. Mammography and ultrasonography are commonly used for BC screening; however, they are associated with problems such as inconvenience, radiation exposure, and dependence on the skill level of operators. To overcome this problem, we performed a comprehensive lipid metabolomic analysis of serum using high-resolution accurate mass spectrometry from two case-control studies that included non-BC, BC subjects pre-surgery and BC subjects one-month post-surgery to determine if the metabolic signatures of over-active fatty acid elongation and other lipid changes could be detected in BC vs. non-BC subjects. The ratios of the linoleic acid to the oleic acid which were evaluated in multiple lipid pools were lower in pre-surgery BC subjects, however, these ratios increased at post-surgery and were no longer different from non-BC subjects. On the other hand, the ethanolamine plasmalogen levels were lower in pre-surgery BC subjects and were not recovered by surgical removal. These do not appear to be caused by BC tumor activity and may be pre-existent and a possible risk factor for BC. In this study, we have identified several lipid metabolic systems that detect both BC risk and BC activity. Abstract The polyunsaturated fatty acid (PUFA) elongase, ELOVL5, is upregulated in breast cancer (BC) vs. adjacent normal tissue. We performed a comprehensive lipid metabolomic analysis of serum using high-resolution accurate mass spectrometry from two case-control studies that included non-BC, BC subjects pre-surgery, and BC subjects one-month post-surgery to determine if the metabolic signatures of over-active fatty acid elongation and other lipid changes could be detected in BC vs. non-BC subjects: study 1 (n = 48: non-BC, n = 69: pre-surgery BC); study 2 (blinded validation: n = 121: non-BC, n = 62: pre-surgery BC, n = 31: one month post-surgery). The ratio of the ELOVL5 precursor, linoleic acid (18:2) to a non-ELOVL5 precursor, oleic acid (18:1) was evaluated in multiple lipid pools (phosphatidylethanolamine (PtdEtn), phosphatidylcholine (PtdCho), lyso-PtdCho, and free fatty acids). This ratio was lower in pre-surgery BC subjects in all pools in both studies (p < 0.001). At one-month post-surgery, the 18:2/18:1 ratios increased vs. pre-surgery and were no longer different from non-BC subjects (p > 0.05 expect for lyso-PtdCho). In contrast to the elongation biomarkers, docosahexaenoic acid (22:6n-3) containing ethanolamine plasmalogen (EtnPls) species were observed to be further decreased in BC subjects one-month post-surgery vs. pre-surgery levels (p < 0.001). These results are consistent with the hypothesis that ELOVL5 is upregulated in BC tissue, which would result in the selective depletion of 18:2 vs. 18:1 containing lipid species. Surgical removal of the tumor removes the overactive ELOVL5 effect on serum lipids. In contrast, the low EtnPls levels do not appear to be caused by BC tumor activity and may be pre-existent and a possible risk factor for BC. These results indicate that it may be possible to screen for both breast cancer risk and breast cancer activity using a simple blood test.
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Affiliation(s)
- Satomi Tomida
- Department of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (S.T.); (M.M.); (K.S.); (T.T.)
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (E.O.); (N.K.); (R.U.)
| | | | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (E.O.); (N.K.); (R.U.)
- Correspondence: ; Tel.: +81-75-251-5789; Fax: +81-75-251-5799
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (E.O.); (N.K.); (R.U.)
| | - Nagato Kuriyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (E.O.); (N.K.); (R.U.)
- Shizuoka Graduate University of Public Health, 420-0881 Shizuoka, Japan
| | - Midori Morita
- Department of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (S.T.); (M.M.); (K.S.); (T.T.)
| | - Yasuyo Yamazaki
- Prodrome Sciences USA LLC, Temecula, CA 92591, USA; (D.B.G.); (Y.Y.)
| | - Koichi Sakaguchi
- Department of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (S.T.); (M.M.); (K.S.); (T.T.)
| | - Ritei Uehara
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (E.O.); (N.K.); (R.U.)
| | - Tetsuya Taguchi
- Department of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (S.T.); (M.M.); (K.S.); (T.T.)
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Fujii R, Hishida A, Nishiyama T, Nakatochi M, Matsuo K, Ito H, Nishida Y, Shimanoe C, Nakamura Y, Turin TC, Suzuki S, Watanabe M, Ibusuki R, Takezaki T, Mikami H, Nakamura Y, Ikezaki H, Murata M, Kuriki K, Kuriyama N, Matsui D, Arisawa K, Katsuura-Kamano S, Tsukamoto M, Tamura T, Kubo Y, Kondo T, Momozawa Y, Kubo M, Takeuchi K, Wakai K. Assessing the relationship between high-sensitivity C-reactive protein and kidney function employing mendelian randomization in a Japanese community based J-MICC Study. J Epidemiol 2021; 32:483-488. [PMID: 33612706 PMCID: PMC9551292 DOI: 10.2188/jea.je20200540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Background Inflammation is thought to be a risk factor for kidney disease. However, whether inflammatory status is either a cause or an outcome of chronic kidney disease remains controversial. We aimed to investigate the causal relationship between high-sensitivity C-reactive protein (hs-CRP) and estimated glomerular filtration rate (eGFR) using Mendelian randomization (MR) approaches. Methods A total of 10,521 participants of the Japan Multi-institutional Collaborative Cohort Study was analyzed in this study. We used two-sample MR approaches (the inverse-variance weighted (IVW), the weighted median (WM), and the MR-Egger method) to estimate the effect of genetically determined hs-CRP on kidney function. We selected four and three hs-CRP associated single nucleotide polymorphisms (SNPs) as two instrumental variables (IV): IVCRP and IVAsian, based on SNPs previously identified in European and Asian populations. IVCRP and IVAsian explained 3.4% and 3.9% of the variation in hs-CRP, respectively. Results Using the IVCRP, genetically determined hs-CRP was not significantly associated with eGFR in the IVW and the WM methods (estimate per 1 unit increase in ln(hs-CRP), 0.000; 95% confidence interval [CI], −0.019 to 0.020 and −0.003; 95% CI, −0.019 to 0.014, respectively). For IVAsian, we found similar results using the IVW and the WM methods (estimate, 0.005; 95% CI, −0.020 to 0.010 and −0.004; 95% CI, −0.020 to 0.012, respectively). The MR-Egger method also showed no causal relationships between hs-CRP and eGFR (IVCRP: −0.008; 95% CI, −0.058 to 0.042; IVAsian: 0.001; 95% CI, −0.036 to 0.036). Conclusion Our two-sample MR analyses with different IVs did not support a causal effect of hs-CRP on eGFR.
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Affiliation(s)
- Ryosuke Fujii
- Departments of Pathophysiological Laboratory Sciences, Nagoya University Graduate School of Medicine.,Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Takeshi Nishiyama
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center.,Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University
| | - Chisato Shimanoe
- Department of Preventive Medicine, Faculty of Medicine, Saga University
| | | | - Tanvir Chowdhury Turin
- Department of Health Science, Shiga University of Medical Science.,Department of Family Medicine, Cumming School of Medicine, University of Calgary
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences
| | - Miki Watanabe
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences
| | - Rie Ibusuki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences
| | - Toshiro Takezaki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences
| | - Haruo Mikami
- Cancer Prevention Center, Chiba Cancer Center Research Institute
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute
| | - Hiroaki Ikezaki
- Department of Geriatric Medicine, Graduate School of Medical Sciences, Kyushu University
| | - Masayuki Murata
- Department of Geriatric Medicine, Graduate School of Medical Sciences, Kyushu University
| | - Kiyonori Kuriki
- Laboratory of Public Health, School of Food and Nutritional Sciences, University of Shizuoka
| | - Nagato Kuriyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine
| | - Daisuke Matsui
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine
| | - Kokichi Arisawa
- Department of Preventive Medicine, Institute of Health Biosciences, the University of Tokushima Graduate School
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Institute of Health Biosciences, the University of Tokushima Graduate School
| | - Mineko Tsukamoto
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Takaaki Kondo
- Departments of Pathophysiological Laboratory Sciences, Nagoya University Graduate School of Medicine
| | | | | | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
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45
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Koyama T, Kuriyama N, Suzuki Y, Saito S, Tanaka R, Iwao M, Tanaka M, Maki T, Itoh H, Ihara M, Shindo T, Uehara R. Mid-regional pro-adrenomedullin is a novel biomarker for arterial stiffness as the criterion for vascular failure in a cross-sectional study. Sci Rep 2021; 11:305. [PMID: 33431996 PMCID: PMC7801498 DOI: 10.1038/s41598-020-79525-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 12/07/2020] [Indexed: 02/07/2023] Open
Abstract
We investigated the potential of mid-regional pro-adrenomedullin (MR-proADM) for use as a novel biomarker for arterial stiffness as the criterion for vascular failure and cardiometabolic disease (obesity, hypertension, dyslipidemia, diabetes, and metabolic syndrome) compared with high-sensitivity C-reactive protein (hsCRP). Overall, 2169 individuals (702 men and 1467 women) were enrolled. Multiple regression analysis was performed to assess the association of MR-proADM and hsCRP with brachial-ankle pulse wave velocity (baPWV), adjusting for other variables. The diagnostic performance (accuracy) of MR-proADM with regard to the index of vascular failure was tested with the help of receiver operating characteristic curve analysis in the models. MR-proADM was significantly higher in participants with vascular failure, as defined by baPWV and/or its risk factors (obesity, hypertension, dyslipidemia, diabetes, and metabolic syndrome), than in control groups. Independent of cardiovascular risk factors (age, drinking, smoking, body mass index, systolic blood pressure, lipid and glycol metabolism), MR-proADM was significantly associated with baPWV, and MR-proADM showed higher areas under the curve of baPWV than hsCRP showed. MR-proADM is more suitable for the diagnosis of higher arterial stiffness as the criterion for vascular failure than hsCRP. Because vascular assessment is important to mitigate the most significant modifiable cardiovascular risk factors, MR-proADM may be useful as a novel biomarker on routine blood examination.
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Affiliation(s)
- Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
| | - Nagato Kuriyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yosuke Suzuki
- Department of Medication Use Analysis and Clinical Research, Meiji Pharmaceutical University, Kiyose, Japan.,Department of Clinical Pharmacy, Oita University Hospital, Oita, Japan
| | - Satoshi Saito
- Department of Neurology, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Ryota Tanaka
- Department of Clinical Pharmacy, Oita University Hospital, Oita, Japan
| | - Motoshi Iwao
- Department of Clinical Pharmacy, Oita University Hospital, Oita, Japan
| | - Megumu Tanaka
- Department of Cardiovascular Research, Shinshu University Graduate School of Medicine, Matsumoto, Japan.,Department of Life Innovation, Institute for Biomedical Sciences, Interdisciplinary Cluster for Cutting Edge Research, Shinshu University, Matsumoto, Japan
| | - Takakuni Maki
- Department of Neurology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hiroki Itoh
- Department of Clinical Pharmacy, Oita University Hospital, Oita, Japan
| | - Masafumi Ihara
- Department of Neurology, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Takayuki Shindo
- Department of Cardiovascular Research, Shinshu University Graduate School of Medicine, Matsumoto, Japan.,Department of Life Innovation, Institute for Biomedical Sciences, Interdisciplinary Cluster for Cutting Edge Research, Shinshu University, Matsumoto, Japan
| | - Ritei Uehara
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
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46
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Takebe N, Tanno K, Ohmomo H, Hangai M, Oda T, Hasegawa Y, Takanashi N, Sasaki R, Shimizu A, Sasaki A, Sakata K, Sasaki M, Ishigaki Y. Weight Gain After 20 Years of Age is Associated with Unfavorable Lifestyle and Increased Prevalence of Metabolic Disorders. Diabetes Metab Syndr Obes 2021; 14:2065-2075. [PMID: 34040401 PMCID: PMC8143959 DOI: 10.2147/dmso.s300250] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Accepted: 03/12/2021] [Indexed: 12/23/2022] Open
Abstract
PURPOSE It is unclear what kind of modifiable lifestyle factors are associated with long-time weight gain in adulthood. To clarify the lifestyle behavior related to body weight gain since the age of 20 years, we explored the lifestyle risk factor, independently associated with excessive weight gain after 20 years of age as compared to those in subjects with a stable weight, with matching of age, gender, and the current body mass index (BMI). PATIENTS AND METHODS From baseline data of a general population-based cohort study, we designed a cross-sectional analysis collecting individual data of medical health check-ups and a questionnaire related to lifestyle, including amount of sleep, frequency of eating breakfast, average times per day engaged in walking and sitting in the prior year, and smoking habits. These data were compared between the subjects with weight gain ≥10kg (n=3601) and <10kg (n=3601) after age 20, matched by a propensity score model which included current BMI, age and gender. We used multivariable logistic regressions to assess the lifestyle factor's association with high weight gain. RESULTS Participants who gained ≥10 kg were significantly more likely to sleep <5 hours or ≥9 hours per night, skip breakfast, engage in walking <1 hour per day, and sit ≥5 hours per day than those who gained <10kg. Multivariable logistic regressions analyses showed that, with adjusting for potential confounder, the lifestyles with the positive association with high weight gain were skipping breakfast (OR 1.252; 95% CI 1.053-1.489, vs regularly), long sleeping duration (9 hours/day≤ OR 1.613; 95% CI 1.018-2.557 vs 5≤-<7 hours/day), and former smoker (OR 1.163; 95% CI 1.008-1.343 vs never smoker), while walking duration was negatively associated with high weight gain. Furthermore, despite similar current BMI, participants with weight gain ≥10kg had significantly higher values for waist circumference, blood pressure, HbA1c, LDL-C, triglycerides, and hepatic enzyme levels than those with weight gain <10kg. Similarly, the prevalence rates of hypertension, dyslipidemia, metabolic syndrome (MetS), and former smoker were higher in the participants with weight gain ≥10kg. CONCLUSION Major weight gain after 20 years of age was associated with unfavorable lifestyle factors and greater waist circumference, possibly leading to elevated risk for MetS and other non-communicable diseases. These findings highlight the importance of maintaining both weight at age 20 and a favorable lifestyle throughout adulthood.
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Affiliation(s)
- Noriko Takebe
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba, Japan
| | - Hideki Ohmomo
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Mari Hangai
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Tomoyasu Oda
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
| | - Yutaka Hasegawa
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Nobuyuki Takanashi
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba, Japan
| | - Ryohei Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
- Department of Human Sciences, Center for Liberal Arts and Sciences, Iwate Medical University, Yahaba, Japan
| | - Atsushi Shimizu
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Akira Sasaki
- Department of Surgery, Iwate Medical University, Yahaba, Japan
| | - Kiyomi Sakata
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Yasushi Ishigaki
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
- Correspondence: Yasushi Ishigaki Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, 2-1-1 Idai-Dori, Yahaba, Iwate, 028-3695, JapanTel +81 19 613 7111Fax +81 19 907 8270 Email
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