高中女生身体形态指标对握力预测作用的ROC曲线分析

王凯; 赵冠翔

doi:10.16835/j.cnki.1000-9817.2025024

高中女生身体形态指标对握力预测作用的ROC曲线分析

doi: 10.16835/j.cnki.1000-9817.2025024

王凯¹,
赵冠翔²

1.
江苏师范大学体育学院基础部，徐州 221116
2.
苏州市平江中学校

基金项目:

江苏省教育科学“十四五”规划2021年度重点课题项目 T-b/2021/35

详细信息

作者简介:
王凯(1976-)，男，山东临沂人，博士，副教授，主要研究方向为体质健康促进

利益冲突声明 所有作者声明无利益冲突。
中图分类号: R179 Q983⁺² G804.49
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出版历程
- 收稿日期: 2024-08-20
- 修回日期: 2024-11-23
- 网络出版日期: 2025-01-25
- 刊出日期: 2025-01-25

Analysis of ROC curves for the effect of predicting hand grip strength based on morphological indicators in high school girls

WANG Kai¹,
ZHAO Guanxiang²

1.
College of Physical Education, Jiangsu Normal University, Xuzhou (221116), Jiangsu Province, China

摘要

摘要: 目的评估并比较高中女生体质量指数(BMI)、腰围(WC)、胸围体质量指数(wBMI)及腰高比(WHtR)对握力(HGS)预测的准确性，为评估高中女生整体身体素质及健康状况提供参考。方法 2022年5—12月，采用整群随机抽样方法从江苏省徐州市12所高中选取1 600名15~18岁女生为研究对象，测量HGS、WC、身高及体重等，并进一步计算BMI、wBMI及WHtR。采用Pearson相关和Logistic回归分析BMI、wBMI、WC及WHtR与HGS的关联。构建受试者工作特征(ROC)曲线，评估不同指标预测HGS的准确性。结果 Pearson相关分析结果显示，高中女生BMI、WC、wBMI及WHtR与HGS均呈正相关(r值分别为0.31，0.27，0.32，0.14，P值均 < 0.01)。Logistic回归分析表明，高中女生的BMI、WC及wBMI与HGS均相关(OR值分别为2.00，0.47，1.22，P值均 < 0.05)，而WHtR与HGS的相关性无统计学意义(OR=0.51，P>0.05)。高中女生BMI预测HGS的曲线下面积(AUC)最大(AUC=0.65，95%CI=0.61~0.69)，其次是wBMI预测HGS的曲线下面积(AUC=0.65，95%CI=0.57~0.66)(P值均 < 0.05)；敏感度最大的是wBMI(71.5%)，其次是BMI(69.4%)，敏感度最小的是WHtR(52.3%)；WC的特异性最好(61.1%)，wBMI的特异性相对较低(52.5%)。结论高中女生的BMI、WC和wBMI能够预测HGS强弱，其中BMI和wBMI的准确性和敏感度最大，但wBMI预测HGS强弱的特异性最低。
- 体重与身体测量 /
- 握力 /
- ROC曲线 /
- 回归分析 /
- 学生 /
- 女(雌)性
Abstract: Objective To evaluate and compare the accuracy of body mass index (BMI), waist circumference (WC), waistcorrected BMI (wBMI), and waist-to-height ratio (WHtR) in predicting hand grip strength (HGS) in high school girls, so as to provide the reference for evaluating their overall physical fitness and health status. Methods From May to December in 2022, a total of 1 600 girls aged 15 to 18 years old were selected by cluster random sampling from 12 high schools in Xuzhou, Jiangsu Province. Measures of HGS, waist circumference, height and weight among high school girls were taken, and their BMI, wBMI and WHtR were calculated. Pearson correlation analysis and Logistic regression were used to analyze the association between BMI, wBMI, WC, WHtR and HGS Receiver operating characteristic (ROC) curves were constructed to evaluate the accuracy of different indicators in predicting HGS Results Pearson correlation analysis showed that the BMI, wBMI, WHtR and HGS expression of high school girls were positively correlated (r=0.31, 0.27, 0.32, 0.14, P < 0.01). Logistic regression analysis showed that BMI, WC and wBMI were correlated with HGS expression (OR=2.00, 0.47, 1.22, P < 0.05), while the association of WHtR and HGS expression had no statistical significance (OR=0.51, P>0.05). The area under the curve (AUC) of BMI for predicting HGS expression in high school girls was the largest (AUC=0.65, 95%CI=0.61-0.69), followed by the AUC of wBMI for predicting HGS expression (AUC=0.65, 95%CI=0.57-0.66)(P < 0.05). The most sensitivity was wBMI (71.5%), followed by BMI (69.4%), and the least sensitivity was WHtR (52.3%); and WC had the best specificity (61.1%), whereas wBMI had a relatively low specificity (52.5%). Conclusion For high school girls, BMI, WC and wBMI could predict the strenth of HGS expression, but BMI and wBMI have the highest accuracy and sensitivity, while wBMI has the lowest specificity in predicting the strenth of HGS.
- Body weights and measures /
- Hand strength /
- ROC curve /
- Regression analysis /
- Students /
- Female
注释:

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HTML全文

图 1 高中女生BMI、WC、wBMI及WHtR预测HGS的ROC曲线

Figure 1. ROC curve of BMI, WC, wBMI and WHtR predic- ting HGS among high school girls

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表 1 不同握力组高中女生的身体形态指标比较(x±s)

Table 1. Comparison of different body shape indexes of high school girls in different HGS groups (x±s)

组别	人数	身高/cm	体重/kg	BMI/(kg·m^-2)	wBMI/(kg·m^-1)	WC/cm	WHtR	HGS/kg
高HGS组	728	164.42±5.25	59.02±7.68	21.85±2.71	16.09±3.40	73.28±7.46	0.57±0.04	28.89±2.72
低HGS组	872	163.39±4.82	54.57±7.54	20.44±2.68	14.40±3.07	69.92±6.72	0.56±0.04	21.93±2.40
t值		2.52	7.15	6.34	6.64	5.79	3.29	33.22
P值		0.01	< 0.01	< 0.01	< 0.01	< 0.01	< 0.01	< 0.01

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