Suppr超能文献

体质指数和糖尿病风险的不同发展轨迹:中国成年人 5 年纵向研究。

Distinct developmental trajectories of body mass index and diabetes risk: A 5-year longitudinal study of Chinese adults.

机构信息

Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.

Center for Disease Modeling, Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada.

出版信息

J Diabetes Investig. 2020 Mar;11(2):466-474. doi: 10.1111/jdi.13133. Epub 2019 Sep 21.

Abstract

AIMS/INTRODUCTION: This longitudinal study aimed to explore whether distinct developmental trajectories of body mass index (BMI) would be predictive of diabetes risk in general Chinese adults.

MATERIALS AND METHODS

A total of 4,519 participants aged >18 years who were free of diabetes in 2011 (baseline of the current analysis) were enrolled in this study. All participants completed a medical examination every year during 2011-2016, and BMI levels were measured two to six (average 5.6) times. Group-based trajectory modeling was applied to identify BMI trajectories over time. New-onset diabetes was confirmed in 2016.

RESULTS

During 2011-2016, four distinct BMI trajectories were identified according to BMI range and changing pattern over time: "low" (19.6%), "moderate" (33.4%), "moderate-high" (33.4%) and "high" (13.6%). A total of 168 (3.7%) new-onset diabetes cases were confirmed in 2016. Compared with the "low" BMI trajectory, participants in the "high" BMI trajectory were at significantly higher risk for new-onset diabetes (adjusted relative risk 3.24, 95% confidence interval 1.27-8.24). Notably, BMI trajectories based on the first four or three annual BMI tests yielded similar results. By contrast, no significant correlation was found between categories of baseline BMI and new-onset diabetes in 2016 after multivariate adjustment.

CONCLUSIONS

The present results show that distinct BMI trajectories, even identified using just four or three annual BMI tests, are significantly associated with new-onset diabetes. Monitoring BMI trajectories over time might provide an important approach to identify subpopulations at higher risk for developing diabetes.

摘要

目的/引言:本纵向研究旨在探讨中国成年人的体质指数(BMI)不同发展轨迹是否可预测糖尿病风险。

材料与方法

本研究共纳入 4519 名年龄>18 岁、2011 年(本次分析的基线)无糖尿病的参与者。所有参与者在 2011-2016 年期间每年都接受一次体检,BMI 水平测量 2-6 次(平均 5.6 次)。采用基于群组的轨迹建模来识别随时间变化的 BMI 轨迹。2016 年确诊新发糖尿病。

结果

2011-2016 年,根据 BMI 范围和随时间变化的模式,共确定了 4 种不同的 BMI 轨迹:“低”(19.6%)、“中”(33.4%)、“中高”(33.4%)和“高”(13.6%)。2016 年共确诊 168 例新发糖尿病病例(3.7%)。与“低”BMI 轨迹相比,“高”BMI 轨迹的参与者发生新发糖尿病的风险显著更高(校正后的相对风险 3.24,95%置信区间 1.27-8.24)。值得注意的是,使用前 4 次或前 3 次年度 BMI 检测结果确定的 BMI 轨迹得出了相似的结果。相比之下,在进行多变量调整后,基线 BMI 类别与 2016 年新发糖尿病之间无显著相关性。

结论

本研究结果表明,不同的 BMI 轨迹,即使仅通过 4 次或 3 次年度 BMI 检测即可确定,与新发糖尿病显著相关。监测随时间变化的 BMI 轨迹可能是识别糖尿病发病风险较高的亚人群的重要方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f696/7078171/a783e0e1263a/JDI-11-466-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验