日本人的遗传风险、健康生活方式的坚持与患糖尿病的风险。

IF 3 2区 医学 Q2 PERIPHERAL VASCULAR DISEASE
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, Koichi Matsuda, Yoko Izumi, Kengo Kinoshita, Gen Tamiya, Atsushi Hozawa, Masayuki Yamamoto
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引用次数: 0

摘要

目的:本研究探讨了遗传风险、健康生活方式与糖尿病发病风险之间的关系:这项前瞻性队列研究纳入了来自东北医疗大数据库社区队列研究的 11 014 名年龄≥ 20 岁的无糖尿病者。研究人员对生活方式进行了评分,包括体重指数、吸烟、体力活动和γ-谷氨酰转移酶(饮酒标志物),并将参与者分为理想生活方式、中等生活方式和不良生活方式。根据日本 BioBank 研究中的 2 型糖尿病基因位点构建了多基因风险评分(PRS)。采用多元逻辑回归模型估算遗传风险、健康生活方式和糖尿病发病率之间的关系,并计算接收者操作特征曲线下的面积(AUROC):结果:在纳入的 11 014 名成年人(67.8% 为女性;平均年龄 [标准差],59.1 [11.3] 岁)中,有 297 人(2.7%)在平均 4.3 (0.8) 年的随访期间患上了糖尿病。遗传和生活方式得分与糖尿病的发生有独立关联。与低遗传风险和理想生活方式组相比,低遗传风险和不良生活方式组的几率比为 3.31。当将 PRS 纳入包括生活方式和家族史的模型时,AUROC 与仅包括生活方式和家族史的模型(0.703 [95% CI, 0.674-0.732])相比显著提高至 0.719(95% 置信区间 [95% CI]: 0.692-0.747):我们的研究结果表明,无论遗传风险如何,坚持健康的生活方式对预防糖尿病都很重要。此外,遗传风险可提供生活方式和家族史以外的信息,对糖尿病高风险人群进行分层。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic Risk, Healthy Lifestyle Adherence, and Risk of Developing Diabetes in the Japanese Population.

Aim: This study examined the relationship between genetic risk, healthy lifestyle, and risk of developing diabetes.

Methods: This prospective cohort study included 11,014 diabetes-free individuals ≥ 20 years old from the Tohoku Medical Megabank Community-based cohort study. Lifestyle scores, including the body mass index, smoking, physical activity, and gamma-glutamyl transferase (marker of alcohol consumption), were assigned, and participants were categorized into ideal, intermediate, and poor lifestyles. A polygenic risk score (PRS) was constructed based on the type 2 diabetes loci from the BioBank Japan study. A multiple logistic regression model was used to estimate the association between genetic risk, healthy lifestyle, and diabetes incidence and to calculate the area under the receiver operating characteristic curve (AUROC).

Result: Of the 11,014 adults included (67.8% women; mean age [standard deviation], 59.1 [11.3] years old), 297 (2.7%) developed diabetes during a mean 4.3 (0.8) years of follow-up. Genetic and lifestyle score is independently associated with the development of diabetes. Compared with the low genetic risk and ideal lifestyle groups, the odds ratio was 3.31 for the low genetic risk and poor lifestyle group. When the PRS was integrated into a model including the lifestyle and family history, the AUROC significantly improved to 0.719 (95% confidence interval [95% CI]: 0.692-0.747) compared to a model including only the lifestyle and family history (0.703 [95% CI, 0.674-0.732]).

Conclusion: Our findings indicate that adherence to a healthy lifestyle is important for preventing diabetes, regardless of genetic risk. In addition, genetic risk might provide information beyond lifestyle and family history to stratify individuals at high risk of developing diabetes.

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来源期刊
CiteScore
6.60
自引率
15.90%
发文量
271
审稿时长
1 months
期刊介绍: JAT publishes articles focused on all aspects of research on atherosclerosis, vascular biology, thrombosis, lipid and metabolism.
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