文章摘要
陶然,杜怀东,周金意,苏健,杨婕,胡一河,马良才,周仁仙,卞铮,郭彧,陈铮鸣,李立明,武鸣.苏州市成年人身体测量指标与糖尿病患病关系的研究[J].中华流行病学杂志,2014,35(12):1337-1342
苏州市成年人身体测量指标与糖尿病患病关系的研究
Relationship between anthropometric measures and the prevalence of diabetes in adults of Suzhou city, Jiangsu province
投稿时间:2014-08-25  
DOI:10.3760/cma.j.issn.0254-6450.2014.12.006
中文关键词: 糖尿病;身体测量指标;血糖;患病风险
英文关键词: Diabetes;Anthropometric measure;Blood glucose;Prevalence
基金项目:香港Kadoorie Charitable Foundation; 英国Wellcome Trust(088158/Z/09/Z); 国家“十二五”科技支撑项目(2011BAI09B01); 江苏省医学重点人才项目(RC2011192); 江苏省医学领军人才和创新团队项目(K201105)
作者单位E-mail
陶然 江苏省疾病预防控制中心, 南京 210009  
杜怀东 牛津大学Clinical Trial Service Unit and Epidemiological Studies Unit  
周金意 江苏省疾病预防控制中心, 南京 210009  
苏健 江苏省疾病预防控制中心, 南京 210009  
杨婕 江苏省疾病预防控制中心, 南京 210009  
胡一河 苏州市疾病预防控制中心  
马良才 苏州市疾病预防控制中心  
周仁仙 苏州市吴中区疾病预防控制中心  
卞铮 中国医学科学院  
郭彧 中国医学科学院  
陈铮鸣 牛津大学Clinical Trial Service Unit and Epidemiological Studies Unit zhengming.chen@ctsu.ox.ac.uk 
李立明 中国医学科学院
北京大学公共卫生学院(李立明) 
lmlee@pumc.edu.cn 
武鸣 江苏省疾病预防控制中心, 南京 210009 jswuming@vip.sina.com 
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中文摘要:
      目的 探讨成年人身体测量指标与糖尿病患病的关系.方法 利用“中国慢性病前瞻性研究”(CKB)苏州市项目点53 260名30~79岁常住居民有效基线调查数据,通过logistic多元回归分析研究身体测量指标与糖尿病患病的关系.结果 调查人群糖尿病患病率为5.3%,其中半数为新检测发现患者.糖尿病患病率随年龄增加而升高,年龄每增加10岁,患病风险增加61%(OR=1.61,95%CI:1.54~1.67).论男女性别,BMI、体脂比、腰围、臀围、腰臀比和腰身比均与糖尿病患病呈显著正相关.中心性肥胖指标与糖尿病患病风险的关系强于全身性肥胖指标,其中腰臀比与糖尿病患病风险的关系最强.腰臀比每增加1个标准差(s),男性(s=0.06)的糖尿病患病风险增加72%(61%~83%),女性(s=0.07)增加93%(83%~102%).在同一分析模型中“腰围”和“臀围”相互调整后,腰围值每增加5 cm,男女性糖尿病患病风险性分别增加65%和57%;但臀围值每增加5 cm,男女性糖尿病患病风险性分别减少38%和34%.结论 BMI、体脂比、腰围、腰臀比和腰身比等肥胖测量指标均与糖尿病患病呈显著正相关;中心性肥胖指标,尤其是“腰臀比”,与糖尿病患病风险的关系强于全身性肥胖指标.控制“腰围”后,“臀围”与糖尿病患病呈显著负相关.
英文摘要:
      Objective To explore the relationships between anthropometric measures as body mass index(BMI),percentage body fat,waist circumference(WC),hip circumference(HC),waist-to-hip ratio(WHR),waist-to-height ratio(WHtR) and the risks of diabetes. Methods We analyzed the baseline data of 53 260 participants who were aged 30-79 years and had been enrolled into the China Kadoorie Biobank(CKB) study from Suzhou city,Jiangsu province. Unconditional logistic regression analyses were conducted with adjustment for potential confounders. Results Overall,5.3% of the participants had diabetes,with about a half of them being newly detected through on-site screening tests. The prevalence of diabetes increased with age,61% higher(OR=1.61,95% confidence interval:1.54-1.67) risk of diabetes,with 10 years increase of age. In both genders,all anthropometric measures were positively and significantly associated with diabetes,with the associations of measures in central adiposity stronger than those in general obesity,with WHR as the strongest. Each standard deviation (1- s) with greater WHR(<0.06 in men and 0.07 in women) was associated with 72%(61%-83%) higher risk of diabetes in men and 93%(83%-102%)in women. After adjusting for HC,each WC with 5 cm larger,showing 65% and 57% higher risks in men and women respectively. However,after adjusting for WC,every 5cm greater HC appeared and associated with respective 38% and 34% lower risks. Conclusion Measures on adiposity including BMI,percentage body,WC,WHR and WHtR fat were all positively associated with the prevalence of diabetes.Measures of central obesity,particularly WHR,were more strongly associated with diabetes than measures of general obesity. When WC was under control,HC appeared inversely associated with diabetes.
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