3种肥胖指标对云南省纳西族和普米族中心性肥胖的预测及民族间比较

张鑫 王绪娇 李晶 马威 范宁 徐飞

解剖学报 ›› 2022, Vol. 53 ›› Issue (3) : 374-380.

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解剖学报 ›› 2022, Vol. 53 ›› Issue (3) : 374-380. DOI: 10.16098/j.issn.0529-1356.2022.03.016
人类学

3种肥胖指标对云南省纳西族和普米族中心性肥胖的预测及民族间比较

  • 张鑫 王绪娇 李晶 马威 范宁 徐飞*
作者信息 +

Three obesity indicators predicting central obesity in Naxi and Pumi ethnic groups in Yunnan Province and inter-ethnic comparison

  • ZHANG  Xin WANG  Xu-jiao  LI  Jing  MA  Wei  FAN Ning  XU  Fei*
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摘要

目的 比较3种不同肥胖指标对云南省丽江市纳西族与普米族成人中心性肥胖的预测价值,计算腰围身高比值(WHtR)、身体质量指数(BMI)、腰臀脂肪指数(AVI)的最佳切点,比较纳西族、普米族与南北方民族BMI、WHtR之间的差异,为判定中心性肥胖及相关疾病提供科学参考。  方法 通过随机抽样选取云南省纳西族成人658(男性278,女性380)例、普米族成人496(男性216,女性280)例为研究对象,以内脏脂肪等级(VFL)作为中心性肥胖的诊断标准,运用直线相关分析探讨WHtR、BMI、AVI与VFL之间的相关性,并采用受试者工作特征曲线(ROC曲线)比较3种肥胖指标在预测纳西族与普米族中心性肥胖的价值。使用Excel 2019作图,SPSS 23.0统计学软件处理数据。  结果 纳西族与普米族男性年龄、体质量、身高、腰围、臀围、AVI 6项指标值差异具有统计学意义(P<0.05);纳西族与普米族女性年龄、身高、腰围、WHtR、BMI、AVI 6项指标值差异具有统计学意义(P<0.01)。相关性分析显示,纳西族、普米族男性、女性的WHtR、BMI和AVI 3项指标与VIL均成正相关(P<0.01)。ROC曲线显示,WHtR对预测纳西族与普米族男性中心性肥胖价值最高(P<0.01),BMI对预测纳西族与普米族女性中心性肥胖价值最高(P<0.01)。聚类分析显示,纳西族、普米族男性与傈僳族、水族等南方民族相近,纳西族女性与藏族、景颇族相近,普米族女性与傈僳族、水族等南方民族相近。  结论 WHtR、BIM、AVI判定中心性肥胖均有统计学意义,可联合运用BMI和WHtR判定纳西族与普米族中心性肥胖。

Abstract

Objective  To compare the predicted value of three different obesity indicators  of on center obesity of Naxi and Pumi adult  in Lijiang City, Yunnan Province; To calculate the best cut-off point of waist-to-height ratio(WHtR), body mass index(BMI) and abdominal volume index(AVI); And to compare the differences of BMI and WHtR between the Naxi, Pumi and North-South ethnic groups, so as to provide scientific reference for central obesity and related diseases.   Methods  By random sampling, 658 cases of Naxi adults (278 cases for men and 380 cases for women) and 496 cases of Pumi adults (216 cases for men and 280 cases for women) were selected as the subjects of the study,taking the internationally recognized visceral fat level(VFL) as the diagnostic criterion of central obesity, the relationship between WHtR, BMI, AVI and VFL was discussed by regression analysis, and the value of three obesity indicators was predicted by comparing the receiver operating characteristic(ROC) curve of the subjects. Using Excel 2019 to draw diagrams and SPSS 23.0 to process data.   Results  The six indicators of age,weight,height,waist circumference,hip circumference and AVI of Naxi and Pumi men were statistically significant among different ethnic groups (P<0.05); Naxi and Pumi women’s age, height, waist circumference, WHtR, BMI and abdominal volume index,the six indicators were statistically significant among different ethnic groups (P<0.01). Correlation analysis showed that the three indicators of WHtR, BMI and AVI were positively related to VFL (P<0.01).The ROC showed that the WHtR had the highest value for predicting central obesity in Naxi and Pumi men (P<0.01), BMI had the highest value of predicting central obesity in Naxi and Pumi women (P<0.01). Cluster analysis showed that Naxi and Pumi males were similar to southern ethnic groups such as Lisu and Sui, Naxi females were similar to Zang and Jingpo, and Pumi females were similar to southern ethnic groups such as Lisu and Sui.   Conclusion  WHtR, BMI, AVI to determine central obesity are statistically significant, can be combined with BMI and AVI to determine Naxi, Pumi central obesity.

关键词

纳西族 / 普米族 / 中心性肥胖 / 腰围身高比值 / 内脏脂肪等级 / 受试者工作特征曲线 / 活体测量 / 成人

Key words

Naxi ethnic group / Pumi ethnic group / Central obesity / Waist-to-height ratio / Visceral fat level / Receiver operating characteristic curve / Somatometry / Adult

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导出引用
张鑫 王绪娇 李晶 马威 范宁 徐飞. 3种肥胖指标对云南省纳西族和普米族中心性肥胖的预测及民族间比较[J]. 解剖学报. 2022, 53(3): 374-380 https://doi.org/10.16098/j.issn.0529-1356.2022.03.016
ZHANG Xin WANG Xu-jiao LI Jing MA Wei FAN Ning XU Fei. Three obesity indicators predicting central obesity in Naxi and Pumi ethnic groups in Yunnan Province and inter-ethnic comparison[J]. Acta Anatomica Sinica. 2022, 53(3): 374-380 https://doi.org/10.16098/j.issn.0529-1356.2022.03.016
中图分类号: R322    Q983   

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<中国各民族体质人类学表型特征调查>子课题《藏缅语族少数民族体质人 类学基础表型特征调查》科技部国家科技基础性工作专项

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