The association between BMI and health-related physical fitness among Chinese college students: a cross-sectional study
The association between BMI and health-related physical fitness among Chinese college students: a cross-sectional study
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DOI：
10.1186/s12889-020-8457-7
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发表时间：
2020-04-05
影响因子：
4.5
通讯作者：
Peng, Wenjia
中科院分区：
文献类型：
--
作者：
Chen, Xiaobin;Cui, Jie;Peng, Wenjia
研究背景现有的关于大学生体质水平的研究中，采用体质测试来反映体质水平的比较少，不能全面评价大学生体质水平。因此，目前的研究旨在探讨身体质量指数（BMI）和身体素质指数（PFI）之间的横截面关系的基础上的6个指标的健身在中国大学生MethodAnthropometric测量和6个措施的身体素质（肺活量，50米短跑，坐和达到，立定跳远，800/1000米跑，引体向上/单腿仰卧起坐）进行了测量。计算BMI将个体分为体重不足、正常体重、超重和肥胖组。计算了基于性别特异性平均值和标准差的Z评分，并将6项适应性测试的Z评分总和用作PFI。三个模型（线性回归模型，多项式回归模型与二阶BMI项和限制三次样条回归模型）拟合，以讨论BMI和PFI之间的潜在关系。结果某医学院校2014 - 2016年共8548名新生完成了体质测试。从2014年到2016年，身体素质指数呈下降趋势（趋势P
BackgroundExisting studies reporting on the levels of physical fitness among college students used relatively few fitness tests as a reflection of physical fitness, which could not comprehensively evaluate the levels of physical fitness. Thus, the current study aimed to investigate the cross-sectional relationship between body mass index (BMI) and a physical fitness index (PFI) based on six indicators of fitness in Chinese college students.MethodAnthropometric measurements and six measures of physical fitness (Vital capacity, 50-m sprint, sit and reach, standing long jump, 800/1000-m run, pull-up/bent-leg sit-up) were measured. BMI was calculated to classify individuals into underweight, normal weight, overweight, and obesity groups. Z-scores based on sex-specific mean and standard deviation were calculated, and the sum of z-scores for the six fitness tests was used as a PFI. Three models (a linear regression model, polynomial regression model with a second-order BMI term and a restricted cubic spline regression model) were fitted to discuss the potential relation between BMI and PFI. We compared the models using Akaike Information Criterion (AIC) and R square.ResultsTotally, 8548 freshmen from the years 2014 to 2016 in a medical college completed the physical fitness tests. There was a decreasing trend of physical fitness index from the years 2014 to 2016 (P for trend