激光生物学报, 2013, 22 (3): 257, 网络出版: 2015-07-24  

基于主成分分析法探讨人体测量学参数与青少年血糖关系的研究

Principal Component Analysis of Relationship between Anthropometric Indices and Plasma Glucose in Adolescents
作者单位
1 南昌大学基础医学院生理教研室, 江西 南昌 330006
2 南昌大学第四附属医院, 江西 南昌 330006
3 南昌大学2011级临床医学(实验班, 检验班, 6班), 江西 南昌 330006
摘要
目的: 调查分析人体测量学参数包括体重指数(BMI)、腰围(WC)、臀围(HC)、腰围/臀围比(WHR)及腰围/身高比(WHtR)对南昌地区青少年空腹血糖的影响。方法: 在南昌地区进行随机抽样检查731例12-18岁之间的青少年, 测量身高、体重、BMI、WC、HC、WHR、WHtR和空腹血糖, 用SAS软件进行统计分析。结果: 男女性的五项人体测量学指标和空腹血糖间均呈显著正相关, 相关系数为0.14-0.38; 通过主成分分析得到四个主成分, 多重回归分析结果表明联合四个主成分比单独使用其中任何一个更能解释空腹血糖的变异。结论: BMI、WC、HC、WHR、WHtR与男性和女性空腹血糖都有一定相关性, 并且联合这五项测量学指标比单独使用其中任何一个能更精确预测空腹血糖。
Abstract
Objective: To evaluate the effects of anthropometric indices including body mass index (BMI), waist circumference (WC), hip circumference (HC), waist hip ratio (WHR), and waist-to-height ratio (WHtR) on fasting plasma glucose (FPG) in adolescents in Nanchang region. Methods: Weight, height, BMI, WC, HC, WHR, WHtR and FPG of 731 adolescents at the ages of 12-18 were measured. The results were analyzed with SAS software. Results: Five anthropometric indices including BMI, WC, HC, WHR and WHtR were significantly correlated with FPG with the Pearsons correlation coefficients ranging from 0.14 to 0.38. Principal component analysis (PCA) was performed to form four principal components (PCs). Multiple regression analyses showed that combined analyses of four PCs was better than any one of five anthropometric indices alone in the explanation of the variance of FPG. Conclusion: All the five anthropometric indices including BMI, WC, HC, WHR and WHtR may be correlated with FPG in both male and female adolescents, and the accuracy of predicting the FPG using combined five anthropometric indices is higher than that using one of them alone.

徐宏, 涂云明, 杨玉瓶, 彭伟, 刘畅, 江伏青, 肖彩兰, 向群, 梁尚栋. 基于主成分分析法探讨人体测量学参数与青少年血糖关系的研究[J]. 激光生物学报, 2013, 22(3): 257. XU Hong, TU Yunming, YANG Yuping, PENG Wei, LIU chang, JIANG Fuqing, XIAO Cailan, XIANG qun, LIANG Shangdong. Principal Component Analysis of Relationship between Anthropometric Indices and Plasma Glucose in Adolescents[J]. Acta Laser Biology Sinica, 2013, 22(3): 257.

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