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中国西南农村地区使用人体测量指标预测糖尿病患病率及其风险。

Prevalence of diabetes and predictions of its risks using anthropometric measures in southwest rural areas of China.

机构信息

Department of Endocrinology & Metabolism, Huashan Hospital, Medical College Fudan University, Shanghai, China.

出版信息

BMC Public Health. 2012 Sep 24;12:821. doi: 10.1186/1471-2458-12-821.

Abstract

BACKGROUND

To examine the prevalence of diabetes and prediabetes in Songming county, Yunnan province, South-west China and examine influences of anthropometric indicators on diabetic risk.

METHODS

This study was a population based cross-sectional study of 1031 subjects in Songming County aged 30 years and older. Age-standardization was performed by using the 2010 Songming population as the standard population. After an overnight fasting, participants underwent an oral glucose tolerance test (OGTT), and venous blood glucose levels were measured to identify diabetes and prediabetes. Physicians completed questionnaires and blood pressure measurements; trained nurses measured anthropometric variables. Age-adjusted logistic regression models were used to assess the association between anthropometric variables and diabetes.

RESULTS

Total prevalences of diabetes and prediabetes were 10.0% and 11.6%, respectively. In women, prevalence of diabetes and prediabetes significantly increased with body mass index (BMI),waist hip ratio (WHR), and waist-to-height ratio (WHtR). But in men, prevalence of diabetes and prediabetes only significantly increased with WHR and WHtR. Compared to 1st WHR tertile in women, there was a nearly tenfold increase in the risk of diabetes with 3rd WHR tertile (OR 10.50, 95% CI 3.95-27.86). Men with 3rd BMI tertile had 4.8-fold risk of getting diabetes compared to men with 1st WHtR tertile (OR 4.79, 95% CI 1.88-12.26). Only WHtR had significantly higher receiver operating characteristic (ROC) area than BMI in total men (0.668 vs. 0.561, p < 0.05). And in total women, only WHR had significantly higher ROC area than BMI (0.723 vs. 0.628, p < 0.05). In the partial correlation analysis controlling for waist circumference, only WHR had significant correlation with fasting plasma glucose (r = 0.132, p = 0.002) and 2-h plasma glucose (r = 0.162, p = 0.000) in women, and WHtR had a much stronger association with both fasting plasma glucose (r = 0.305, P = 0.000) and 2 h plasma glucose (r = 0.303, P = 0.000) than WHR in men.

CONCLUSION

High prevalence of diabetes and prediabetes were found in this underdeveloped region. About half of total subjects with diabetes were undiagnosed. The association of obesity indices and diabetic risk factors varied with gender. The strongest predictors of diabetes were WHR for the female subgroup and WHtR for the male subgroup.

摘要

背景

本研究旨在调查中国西南部云南省嵩明县的糖尿病和糖尿病前期的流行情况,并探讨人体测量指标对糖尿病风险的影响。

方法

这是一项基于人群的横断面研究,共纳入 1031 名 30 岁及以上的嵩明县居民。采用 2010 年嵩明县人口作为标准人口进行年龄标化。受试者隔夜禁食后进行口服葡萄糖耐量试验(OGTT),检测静脉血糖水平以确定糖尿病和糖尿病前期。医生完成问卷调查和血压测量,经过培训的护士测量人体测量学变量。采用年龄调整的 logistic 回归模型评估人体测量学变量与糖尿病之间的关联。

结果

糖尿病和糖尿病前期的总患病率分别为 10.0%和 11.6%。在女性中,糖尿病和糖尿病前期的患病率随着体重指数(BMI)、腰臀比(WHR)和腰围身高比(WHtR)的增加而显著升高。但在男性中,糖尿病和糖尿病前期的患病率仅随 WHR 和 WHtR 升高而升高。与女性第 1 WHR 三分位相比,第 3 WHR 三分位的糖尿病风险增加近 10 倍(OR 10.50,95%CI 3.95-27.86)。与女性第 1 WHtR 三分位相比,男性第 3 BMI 三分位的糖尿病风险增加 4.8 倍(OR 4.79,95%CI 1.88-12.26)。仅 WHtR 在总男性中具有显著高于 BMI 的更高的受试者工作特征(ROC)曲线面积(0.668 比 0.561,p<0.05)。在所有女性中,仅 WHR 的 ROC 曲线面积显著高于 BMI(0.723 比 0.628,p<0.05)。在控制腰围的偏相关分析中,仅 WHR 与女性的空腹血糖(r=0.132,p=0.002)和 2 小时血糖(r=0.162,p=0.000)显著相关,而 WHtR 与空腹血糖(r=0.305,p=0.000)和 2 小时血糖(r=0.303,p=0.000)的相关性均明显强于 WHR。

结论

在这个欠发达地区,糖尿病和糖尿病前期的患病率很高。约有一半的糖尿病患者未被诊断。肥胖指数与糖尿病危险因素的相关性因性别而异。对于女性亚组,最强的糖尿病预测因子是 WHR,对于男性亚组,最强的预测因子是 WHtR。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6221/3549931/64ddb692e4bd/1471-2458-12-821-1.jpg

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