肥胖测量指标结合糖尿病家族史识别血糖异常的效能评价

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Abstract Objective: To compare the effectiveness of obesity measurement index in identifying abnormal blood glucose (prediabetes and diabetes) in populations with family history of diabetes (FHD+) and those with non-diabetic family history (FHD-). Methods: A cross-sectional study was carried out in four communities of Wenzhou city. A total of 4 867 people aged above 40 years old were included in the study, among whom, 979 people were FHD+ group and 3 878 people in FHD- group. A correlation analysis was made of body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), waist-to-height ratio (WHtR) and blood glucose level (fasting plasma glucose, 2-hour postprandial blood glucose and hemoglobin A1c) using Pearson correlation. Areas under the working characteristic curve of four indexes in identifying subjects with abnormal blood glucose were compared and the optimal cut-off value was determined. Results: BMI, WC, WHR, WHtR were all related to blood glucose indexes (r=0.114~0.253, P<0.05). FHD was layered, and the incidence of abnormal blood glucose in FHD+ group was significantly higher than that in FHD- group (P<0.05). The optimal cut-off value of WHtR in screening glucose abnormality in FHD+ group and FHD- group was 0.54 and 0.56 respectively; that of BMI was 23.5 kg/m2 and 24.8 kg/m2 respectively; that of WC was 86.1 cm and 88.2 cm respectively; that of WHR was both 0.89; ROC curve analysis showed that the area under curve of waist-to-height ratio was the largest (both 0.65). Conclusion: The cut-off value of obesity measurement indexes in identifying glucose abnormality in FHD+ group is lower than that in FHD- group. It is suggested that stricter cut-off value should be given for FHD+ population. Of the two groups, WHtR is the best index to identify glucose abnormality.

Key words： abnormal blood glucose family history of diabetes body mass index waist circumference waist-height ratio waist-hip ratio

Received: 19 September 2017

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	XU Jing
	GU Xuejiang
	HONG Yilian
	LIN Yi
	ZHANG Jiale
	YANG Lijuan.

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https://xb.wmu.edu.cn/EN/ OR https://xb.wmu.edu.cn/EN/Y2018/V48/I4/245

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