文章摘要
陈晓英,吴照帆,王学才,董晓莲,朱建福,Chen Yue,肖甜,姜庆五,付朝伟.体质指数动态变化与2型糖尿病发病关系的前瞻性研究[J].中华流行病学杂志,2016,37(10):1332-1335
体质指数动态变化与2型糖尿病发病关系的前瞻性研究
Association between body mass index and its change and type 2 diabetes mellitus risk in a prospective study
收稿日期:2016-05-23  出版日期:2016-10-13
DOI:10.3760/cma.j.issn.0254-6450.2016.10.003
中文关键词: 体质指数  糖尿病,2型  前瞻性研究
英文关键词: Body mass index  Diabetes mellitus, type 2  Prospective study
基金项目:国家自然科学基金(81473038);上海市公共卫生重点学科建设计划(15GWZK0801)
作者单位E-mail
陈晓英 200032 上海, 复旦大学公共卫生学院流行病学教研室, 公共卫生安全教育部重点实验室  
吴照帆 200032 上海, 复旦大学公共卫生学院流行病学教研室, 公共卫生安全教育部重点实验室  
王学才 313200 浙江省湖州市德清县疾病预防控制中心  
董晓莲 313200 浙江省湖州市德清县疾病预防控制中心  
朱建福 313200 浙江省湖州市德清县疾病预防控制中心  
Chen Yue K1N6N5 加拿大渥太华大学医学院  
肖甜 200032 上海, 复旦大学公共卫生学院流行病学教研室, 公共卫生安全教育部重点实验室  
姜庆五 200032 上海, 复旦大学公共卫生学院流行病学教研室, 公共卫生安全教育部重点实验室  
付朝伟 200032 上海, 复旦大学公共卫生学院流行病学教研室, 公共卫生安全教育部重点实验室 fcw@fudan.edu.cn 
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中文摘要:
      目的 探讨BMI动态变化对队列人群2型糖尿病(T2DM)发病的影响。方法 以2006年开展的浙江省德清县农村社区成年人群健康队列为基础,随机抽取3 043名基线未患T2DM对象构建亚队列,于2015年7-11月进行随访,共1 867名调查对象纳入研究,进行问卷调查、体格检查和实验室检测。以中国标准对基线BMI(kg/m2)分类:<24.0为正常,24.0~27.9为超重,≥28.0为肥胖;BMI每年变化<0.05 kg/m2表示基本无变化。用Cox回归模型分析基线BMI及其变化与T2DM发生的关系。结果 随访人时为(8.68±1.25)年,新发T2DM为213例,其中女性125例,发病密度为13.14/1 000人年。Cox回归模型分析显示,在调整其他可能影响因素后,与基线BMI<24.0 kg/m2人群相比,基线BMI≥28.0 kg/m2的人群发生T2DM的风险较高(aHR=2.12,95% CI:1.22~3.68);在基线BMI<24.0 kg/m2的人群中,与BMI基本无变化的人群相比,BMI增加的人群发生T2DM的风险较高(aHR=2.21,95% CI:1.17~4.17)。结论 基线BMI和BMI改变均可增加T2DM的发病风险,尤其是基线BMI正常的人群,其BMI改变对T2DM的发生影响较大。
英文摘要:
      Objective To investigate the influence of body mass index (BMI) and its change on the incidence of type 2 diabetes mellitus (T2DM) in an adult cohort. Methods A total of 3 043 subjects randomly selected among those without T2DM at baseline survey from the Rural Deqing Health Cohort Study were included into this study and follow up was conducted for 1 867 of them from July to November 2015. The subjects were divided into 3 groups according to their baseline BMI, normal group (BMI<24.0), overweight group (BMI:24.0-27.9) and obese group (BMI ≥28.0) and the subjects with stable weight (BMI change of -0.05 to +0.05 per year) were used as the referent category. Cox proportional model was used to estimate associations between BMI, its changes and T2DM. Results With an average of (8.68±1.25) person years, 213 new T2DM cases, including 125 females were detected, and incidence density was 13.14 per 1 000 person years. After adjusted for other covariates, the risk for incidence of T2DM was significantly higher in subjects with baseline BMI ≥28.0 kg/m2 than those with baseline BMI<24.0 kg/m2 (aHR=2.12, 95%CI:1.22-3.68), and weight gains were strongly associated with the incidence of T2DM in those with baseline BMI<24.0 kg/m2 (aHR=2.21, 95%CI:1.17-4.17). Conclusion Both BMI and its change were significantly associated with incidence of T2DM, especially in the population with BMI<24.0 kg/m2 at baseline.
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