• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

纵向评估体脂百分比与 2 型糖尿病风险之间的关系:韩国基因组与流行病学研究 (KoGES)。

Longitudinally evaluated the relationship between body fat percentage and the risk for type 2 diabetes mellitus: Korean Genome and Epidemiology Study (KoGES).

机构信息

Center for Cohort StudiesTotal Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

Department of Occupational and Environmental MedicineSchool of Medicine, Kyung Hee University, Seoul, Korea.

出版信息

Eur J Endocrinol. 2018 May;178(5):513-521. doi: 10.1530/EJE-17-0868. Epub 2018 Mar 9.

DOI:10.1530/EJE-17-0868
PMID:29523634
Abstract

BACKGROUND

Body fat plays the significant role in maintaining glucose homeostasis. However, it is not fully identified how body fat percentage (BF%) has an impact on the development of type 2 diabetes mellitus (T2DM). Thus, this study was to evaluate the incidental risk for T2DM according to BF% level.

METHODS

In a community-based Korean cohort, 5972 Korean adults were divided into quintile groups by BF% and followed up for 10 years to monitor the development of T2DM. Cox proportional hazard model was used to evaluate the hazard ratios (HRs) for T2DM according to BF% quintile. Additionally, subgroup analysis was conducted by low and high level of BF% (cut-off: 25 in men and 35 in women) and body mass index (BMI).

RESULTS

In adjusted model, compared to the BF% quintile 1 group, the risk for T2DM significantly increased over BF% of 22.8% in men and 32.9% in women (≥quintile 4). The level of BF% related to the increased risk for T2DM was lower in non-obese men (22.8%) than obese men (28.4%). In subgroup analysis, men with low BMI (<25) and high BF% (≥25) had the highest risk for T2DM than other subgroups (HRs: 1.83 (1.33-2.52)). However, this association did not show the statistical significance in women (HRs: 1.63 (0.98-2.72)).

CONCLUSION

The incidental risk for T2DM significantly increased over the specific level of BF%, which was lower in non-obese population than obese population. Gender difference was suggested in the incidental relationship between BF% and T2DM.

摘要

背景

体脂在维持血糖稳态方面起着重要作用。然而,目前尚不完全清楚体脂百分比(BF%)如何影响 2 型糖尿病(T2DM)的发展。因此,本研究旨在评估根据 BF%水平发生 T2DM 的偶然风险。

方法

在一项基于社区的韩国队列研究中,将 5972 名韩国成年人按 BF%分为五组,并随访 10 年以监测 T2DM 的发生。使用 Cox 比例风险模型评估根据 BF%五分位组发生 T2DM 的风险比(HR)。此外,还进行了亚组分析,亚组分析分为低和高水平 BF%(切点:男性 25,女性 35)和体重指数(BMI)。

结果

在调整后的模型中,与 BF%五分位 1 组相比,男性 BF%≥22.8%和女性 BF%≥32.9%(五分位 4 组)发生 T2DM 的风险显著增加。与非肥胖男性(22.8%)相比,肥胖男性(28.4%)中 BF%水平与 T2DM 风险增加相关的水平较低。在亚组分析中,低 BMI(<25)和高 BF%(≥25)的男性发生 T2DM 的风险最高,高于其他亚组(HRs:1.83(1.33-2.52))。然而,这一关联在女性中并不具有统计学意义(HRs:1.63(0.98-2.72))。

结论

T2DM 的偶然风险随着特定 BF%水平的升高而显著增加,而非肥胖人群的 BF%水平低于肥胖人群。BF%与 T2DM 之间的偶然关系存在性别差异。

相似文献

1
Longitudinally evaluated the relationship between body fat percentage and the risk for type 2 diabetes mellitus: Korean Genome and Epidemiology Study (KoGES).纵向评估体脂百分比与 2 型糖尿病风险之间的关系:韩国基因组与流行病学研究 (KoGES)。
Eur J Endocrinol. 2018 May;178(5):513-521. doi: 10.1530/EJE-17-0868. Epub 2018 Mar 9.
2
Body fat percentage, obesity, and their relation to the incidental risk of hypertension.体脂百分比、肥胖及其与高血压偶发风险的关系。
J Clin Hypertens (Greenwich). 2019 Oct;21(10):1496-1504. doi: 10.1111/jch.13667. Epub 2019 Sep 9.
3
The risk of type 2 diabetes mellitus according to the categories of body mass index: the Korean Genome and Epidemiology Study (KoGES).根据体重指数类别,2 型糖尿病的发病风险:韩国基因组与流行病学研究(KoGES)。
Acta Diabetol. 2018 May;55(5):479-484. doi: 10.1007/s00592-018-1112-4. Epub 2018 Feb 17.
4
Total serum bilirubin and 8-year incident type 2 diabetes mellitus: The Korean Genome and Epidemiology Study.总血清胆红素与 8 年发生 2 型糖尿病:韩国基因组与流行病学研究。
Diabetes Metab. 2018 Sep;44(4):346-353. doi: 10.1016/j.diabet.2017.07.004. Epub 2017 Aug 31.
5
Waist circumference trajectories and risk of type 2 diabetes mellitus in Korean population: the Korean genome and epidemiology study (KoGES).腰围变化轨迹与韩国人群 2 型糖尿病发病风险:韩国基因组与流行病学研究(KoGES)
BMC Public Health. 2019 Jun 13;19(1):741. doi: 10.1186/s12889-019-7077-6.
6
Identification of Dietary Patterns Associated with Incidence of Hyperglycemia in Middle-Aged and Older Korean Adults.与中年及以上韩国成年人发生高血糖相关的饮食模式的鉴定。
Nutrients. 2019 Aug 4;11(8):1801. doi: 10.3390/nu11081801.
7
Oxidative balance score as a useful predictive marker for new-onset type 2 diabetes mellitus in Korean adults aged 60 years or older: The Korean Genome and Epidemiologic Study-Health Examination (KoGES-HEXA) cohort.氧化平衡评分作为预测韩国 60 岁及以上成年人新发 2 型糖尿病的有用标志物:韩国基因组和流行病学研究-健康体检(KoGES-HEXA)队列。
Exp Gerontol. 2024 Aug;193:112475. doi: 10.1016/j.exger.2024.112475. Epub 2024 Jun 1.
8
Impact of body fat percentage change on future diabetes in subjects with normal glucose tolerance.体重百分比变化对血糖正常的受试者未来发生糖尿病的影响。
IUBMB Life. 2017 Dec;69(12):947-955. doi: 10.1002/iub.1693. Epub 2017 Nov 11.
9
Effects of processed red meat consumption on the risk of type 2 diabetes and cardiovascular diseases among Korean adults: the Korean Genome and Epidemiology Study.加工红肉摄入对韩国成年人 2 型糖尿病和心血管疾病风险的影响:韩国基因组与流行病学研究。
Eur J Nutr. 2019 Sep;58(6):2477-2484. doi: 10.1007/s00394-018-1799-6. Epub 2018 Aug 1.
10
The influence of prehypertension, hypertension, and glycated hemoglobin on the development of type 2 diabetes mellitus in prediabetes: the Korean Genome and Epidemiology Study (KoGES).前期高血压、高血压和糖化血红蛋白对糖尿病前期 2 型糖尿病发展的影响:韩国基因组与流行病学研究(KoGES)。
Endocrine. 2018 Mar;59(3):593-601. doi: 10.1007/s12020-018-1530-7. Epub 2018 Jan 29.

引用本文的文献

1
Elevated body fat percentage is linked to increased risk of diabetes: a longitudinal retrospective cohort study based on Chinese adults.较高的体脂百分比与糖尿病风险增加有关:一项基于中国成年人的纵向回顾性队列研究。
Front Nutr. 2025 Jun 19;12:1510210. doi: 10.3389/fnut.2025.1510210. eCollection 2025.
2
Association between percent body fat and the risk of prediabetes among Chinese adults: a 5-years longitudinal cohort study.中国成年人身体脂肪百分比与糖尿病前期风险之间的关联:一项为期5年的纵向队列研究。
Sci Rep. 2025 Mar 15;15(1):8982. doi: 10.1038/s41598-025-92367-0.
3
The Impact of Idiopathic Intracranial Hypertension on Cardiovascular Disease Risk Among UK Women: An Obesity-Adjusted Analysis.
特发性颅内高压对英国女性心血管疾病风险的影响:一项肥胖校正分析。
ASIDE Intern Med. 2025 Jan;1(1):1-11. doi: 10.71079/h1fr8h68. Epub 2024 Nov 17.
4
Unravelling the obesity maze in diabetic patients: A comparative analysis of classification methods.解析糖尿病患者的肥胖难题:分类方法的比较分析
J Family Med Prim Care. 2024 Jun;13(6):2283-2288. doi: 10.4103/jfmpc.jfmpc_1255_23. Epub 2024 Jun 14.
5
Advancing diabetes prediction with a progressive self-transfer learning framework for discrete time series data.利用渐进式自迁移学习框架提升糖尿病预测能力:离散时间序列数据分析。
Sci Rep. 2023 Nov 29;13(1):21044. doi: 10.1038/s41598-023-48463-0.
6
Relationship between body fat ratio and inflammatory markers in a Chinese population of adult male smokers.中国成年男性吸烟者群体中体脂率与炎症标志物之间的关系。
Prev Med Rep. 2023 Sep 22;36:102441. doi: 10.1016/j.pmedr.2023.102441. eCollection 2023 Dec.
7
Causal discovery approach with reinforcement learning for risk factors of type II diabetes mellitus.基于强化学习的 II 型糖尿病风险因素因果发现方法。
BMC Bioinformatics. 2023 Jul 21;24(1):296. doi: 10.1186/s12859-023-05405-x.
8
The association between daytime napping and risk of type 2 diabetes is modulated by inflammation and adiposity: Evidence from 435 342 UK-Biobank participants.日间小睡与 2 型糖尿病风险之间的关联受炎症和肥胖的调节:来自 435342 名英国生物银行参与者的证据。
J Diabetes. 2023 Jun;15(6):496-507. doi: 10.1111/1753-0407.13387. Epub 2023 Apr 13.
9
The relationship between the CUN-BAE body fatness index and incident diabetes: a longitudinal retrospective study.CUN-BAE 体脂指数与糖尿病发病的关系:一项纵向回顾性研究。
Lipids Health Dis. 2023 Feb 6;22(1):21. doi: 10.1186/s12944-023-01784-5.
10
Longitudinal relationship between body fat percentage and risk of type 2 diabetes in Chinese adults: Evidence from the China Health and Nutrition Survey.中国人的体脂百分比与 2 型糖尿病风险的纵向关系:来自中国健康与营养调查的证据。
Front Public Health. 2022 Nov 29;10:1032130. doi: 10.3389/fpubh.2022.1032130. eCollection 2022.