著者

Yuka Ueda Michio Murakami Masaharu Maeda Hirooki Yabe Yuriko Suzuki Masatsugu Orui Seiji Yasumura Tetsuya Ohira The Fukushima Health Management Survey Group

出版者

Tohoku University Medical Press

雑誌

The Tohoku Journal of Experimental Medicine (ISSN:00408727)

巻号頁・発行日

vol.248, no.4, pp.239-252, 2019 (Released:2019-08-10)

参考文献数

40

被引用文献数

14

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Many studies have consistently reported the bidirectional relationship between problem drinking and psychological distress following a disaster, but the risk factors of problem drinking following a disaster remain unclear. In this study, we therefore aimed to explore the risk factors associated with the incidence of problem drinking among evacuees after the Great East Japan Earthquake of March 11, 2011. We used the data for evacuees of the Fukushima Daiichi nuclear power plant accident, obtained from the Mental Health and Lifestyle Survey. A total of 12,490 individuals from 13 municipalities, which included the evacuation order areas after the accident, completed surveys between 2012 and 2013. The CAGE (Cutting down, Annoyed by criticism, Guilty feeling, and Eye-opener) questionnaire was used to screen the participants for alcohol dependence, and a score ≥ 2 indicated problem drinking. Logistic regression models were applied to investigate the possible predictors of problem drinking. The results showed that insufficient sleep and heavy drinking (≥ 4 drinks per day) were significant risk factors for the incidence of problem drinking in both men and women. Additional risk factors included family financial issues due to the disaster and trauma symptoms among men and a diagnosed history of mental illness among women. Other remaining variables were not significantly associated with problem drinking. The present study is the first to identify the risk factors for problem drinking following a compound disaster. Our findings could be used to develop a primary intervention program to improve evacuees’ health and lives following a disaster.

著者

Masato Takase Naoki Nakaya Tomohiro Nakamura Mana Kogure Rieko Hatanaka Kumi Nakaya Ippei Chiba Ikumi Kanno Kotaro Nochioka Naho Tsuchiya Takumi Hirata Akira Narita Taku Obara Mami Ishikuro Akira Uruno Tomoko Kobayashi Eiichi N Kodama Yohei Hamanaka Masatsugu Orui Soichi Ogishima Satoshi Nagaie Nobuo Fuse Junichi Sugawara Shinichi Kuriyama Ichiro Tsuji Gen Tamiya Atsushi Hozawa Masayuki Yamamoto the ToMMo investigators

出版者

Japan Atherosclerosis Society

雑誌

Journal of Atherosclerosis and Thrombosis (ISSN:13403478)

巻号頁・発行日

pp.64425, (Released:2023-10-06)

参考文献数

42

被引用文献数

1

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Aim: The influence of family history of diabetes, probably reflecting genetic and lifestyle factors, on the association of combined genetic and lifestyle risks with diabetes is unknown. We examined these associations. Methods: This cross-sectional study included 9,681 participants in the Tohoku Medical Megabank Community-based Cohort Study. A lifestyle score, which was categorized into ideal, intermediate, and poor lifestyles, was given. Family history was obtained through a self-reported questionnaire. A polygenic risk score (PRS) was constructed in the target data (n=1,936) using publicly available genome-wide association study summary statistics from BioBank Japan. For test data (n=7,745), we evaluated PRS performance and examined the associations of combined family history and genetic and lifestyle risks with diabetes. Diabetes was defined as non-fasting blood glucose ≥ 200 mmHg, HbA1c ≥ 6.5%, and/or self-reported diabetes treatment. Results: In test data, 467 (6.0%) participants had diabetes. Compared with a low genetic risk and an ideal lifestyle without a family history, the odds ratio (OR) was 3.73 (95% confidence interval [CI], 1.92–7.00) for a lower genetic risk and a poor lifestyle without a family history. Family history was significantly associated with diabetes (OR, 3.58 [95% CI, 1.73–6.98]), even in those with a low genetic risk and an ideal lifestyle. Even among participants who had an ideal lifestyle without a family history, a high genetic risk was associated with diabetes (OR, 2.49 [95% CI, 1.65–3.85]). Adding PRS to family history and conventional lifestyle risk factors improved the prediction ability for diabetes. Conclusions: Our findings support the notion that a healthy lifestyle is important to prevent diabetes regardless of genetic risk.