医学文献 >>
  • 检索发现
  • 增强检索
知识库 >>
  • 临床诊疗知识库
  • 中医药知识库
评价分析 >>
  • 机构
  • 作者
默认
×
热搜词:
换一批
论文 期刊
取消
高级检索

检索历史 清除

代谢综合征组分中包含糖耐量减低对2型糖尿病发病风险预测的队列研究

Prediction of metabolic syndrome with impaired glucose tolerance in type 2 diabetes mellitus: a cohort study

摘要目的:探讨代谢综合征(MS)组分中糖耐量减低(IGT)对2型糖尿病(T2DM)发病风险的预测作用。方法:为回顾性队列研究。以2012年6月至2019年9月在解放军火箭军特色医学中心参加体检的1 989名年龄≥40岁且既往无T2DM的某部机关干部作为调查对象,对一般人口学信息、体格检查及实验室指标进行分析,并随访观察其T2DM发生情况作为研究结局。根据是否发生T2DM,将研究对象分为T2DM组和非T2DM组。采用Cox比例风险模型评估是否患有MS和(或)IGT人群发生T2DM的风险,并计算人口归因分数(PAF)以表达T2DM的发病归因于MS和IGT的比例。结果:平均随访时间为5.1年。随访期间,共有291例(14.63%)确诊T2DM。与非T2DM组(1 698例)比较,T2DM组患者年龄较大,糖尿病家族史、吸烟史比例更高,并且腰围、体重指数、收缩压、甘油三酯、空腹血糖及口服葡萄糖耐量试验糖负荷后2 h血糖水平更高(均 P<0.01)。在调整年龄、性别、吸烟、饮酒、运动、糖尿病族家族史等混杂因素后,与非MS人群相比,基线时患有MS的人群T2DM的发病风险(HR=2.84,95%CI 1.20~6.69)及PAF(PAF=18.70%,95%CI 11.82%~25.60%)均显著升高。IGT人群的T2DM发生风险(HR=3.17,95%CI 1.88~5.34)和PAF(PAF=21.63%,95%CI 10.07%~35.53%)均高于糖耐量正常者。具有IGT的非MS人群(PAF=11.50%,95%CI 10.71%~19.83%)比糖耐量正常的MS人群(PAF=0.69%,95%CI -5.75%~11.47%)与T2DM发生关联更强。代谢异常组分中含有IGT的MS患者其T2DM发生风险(HR=4.39,95%CI 2.40~8.04)及PAF最高(PAF=21.87%,95%CI 10.63%~37.34%)。 结论:本研究MS且代谢异常组分中含有IGT的人群其T2DM发病风险高。

更多

abstractsObjective:To investigate the predictive role of impaired glucose tolerance (IGT) on the risk of type 2 diabetes mellitus (T2DM) in patients with metabolic syndrome (MS).Methods:This study was a retrospective cohort study. A total of 1 989 participants who underwent medical examination in PLA Rocket Force Characteristic Medical Center from June 2012 to September 2019 were enrolled. The participants were equal or more than 40 years old and without previous T2DM. The general information, physical examination data, and laboratory indexes were analyzed, and the occurrence of T2DM was followed up as the research outcome. According to occurrence of T2DM, the subjects were divided into T2DM group and non-T2DM group. Multivariate Cox regression analysis was used to assess the risk of T2DM in people with MS and (or) IGT, and the population attribution score (PAF) was calculated to express the proportion of T2DM attributed to MS and IGT.Results:The average follow-up time of the study was 5.1 years. During the follow-up period, a total of 291 people (14.6%) were diagnosed with T2DM. Compared with those without T2DM, individuals with T2DM were older and had higher waist circumference, body mass index, systolic blood pressure, triglycerides, fasting blood glucose, and oral glucose tolerance test 2-hours plasma glucose ( P<0.01). Participants with a family history of diabetes and a history of smoking were more likely to develop T2DM ( P<0.05). After adjusting for baseline age, gender, smoking, drinking, exercise, and family history of diabetes, participants with MC at baseline had a higher risk of developing T2DM (HR=2.84, 95%CI 1.20-6.69) and PAF (PAF=18.70%, 95%CI 11.82%-25.60%) than participants with non-MC. The risk of T2DM with IGT (HR=3.17, 95%CI 1.88-5.34) and PAF (PAF=21.63%, 95%CI 10.07%-35.53%) were higher than those with non-IGT. Participants with non-MC and IGT (PAF=11.50%, 95%CI 10.71%-19.83%) was more related to the incidence of T2DM than participants with MC and normal glucose tolerance (PAF=0.69%, 95%CI -5.75%-11.47%). Patients with MC who have IGT among the metabolic components have the highest risk of T2DM (HR=4.39, 95%CI 2.40-8.04) and the highest PAF (PAF=21.87%, 95%CI 10.63%-37.34%). Conclusions:In this certain department of physical examination center, individuals with both MC and IGT have the high risk of T2DM.

More
广告
作者 李琳 [1] 郑程荣 [2] 靳志涛 [2] 王熙然 [3] 秦雪英 [4] 鞠鹏 [3] 李全民 [1] 白玉蓉 [3] 学术成果认领
作者单位 解放军火箭军特色医学中心内分泌科,北京 100088 [1] 解放军火箭军特色医学中心心内科,北京 100088 [2] 解放军火箭军特色医学中心干部病房,北京 100088 [3] 北京大学公共卫生学院流行病与卫生统计学系 100191 [4]
栏目名称
DOI 10.3760/cma.j.cn115791-20210602-00304
发布时间 2021-12-27(万方平台首次上网日期,不代表论文的发表时间)
  • 浏览113
  • 下载5
中华糖尿病杂志

中华糖尿病杂志

2021年13卷12期

1135-1140页

ISTICPKUCSCDCA

加载中!

相似文献

  • 中文期刊
  • 外文期刊
  • 学位论文
  • 会议论文

加载中!

加载中!

加载中!

加载中!

扩展文献

法律状态公告日 法律状态 法律状态信息

特别提示:本网站仅提供医学学术资源服务,不销售任何药品和器械,有关药品和器械的销售信息,请查阅其他网站。

  • 客服热线:4000-115-888 转3 (周一至周五:8:00至17:00)

  • |
  • 客服邮箱:yiyao@wanfangdata.com.cn

  • 违法和不良信息举报电话:4000-115-888,举报邮箱:problem@wanfangdata.com.cn,举报专区

官方微信
万方医学小程序
new医文AI 翻译 充值 订阅 收藏 移动端

官方微信

万方医学小程序

使用
帮助
Alternate Text
调查问卷