Huang Zhihao, Wang Wance, Huo Kai, Wang Yongming, Tian Kunzong
School of Big Data and Fundamental Sciences, Shandong Institute of Petroleum and Chemical Technology, Dongying, China.
School of Physical Education and Health, East China Jiaotong University, Nanchang, China.
BMC Public Health. 2025 Jun 5;25(1):2105. doi: 10.1186/s12889-025-22350-x.
College students physical fitness is not just an indicator of current health but also a predictor of future well-being. The rapid socioeconomic changes and significant lifestyle shifts occurring in China, akin to global trends, underscore the need for a comprehensive understanding of college students physical fitness.
Our research focused on delineating the state of physical fitness among college students in Shandong Province and identifying the factors influencing it. Univariate chi-squared test was initially performed on all independent variables. Subsequently, statistically significant variables were included in multivariate logistic regression analysis to identify the determinants of physical fitness among college students. These findings were intended to inform targeted health interventions for this critical age group.
From September to November 2024, a large-scale survey was conducted on 176,373 college students aged 19 to 22 years in Shandong Province, using a stratified random cluster sampling method. The overall physical fitness qualified rate was 92.03%, with female students slightly outperforming males. Urban students had a higher qualified rate than rural students. After adjusting for gender and household registration, multivariable logistic regression analysis identified key factors influencing physical fitness. Parental engagement in physical exercise and support for students' participation were associated with lower odds of failing fitness tests. Frequent exercise, long exercise duration, and moderate to high intensity activity were linked to better fitness outcome. Sufficient sleep and regular breakfast consumption also decreased the likelihood of failing the physical fitness tests. In contrast, excessive screen time, smoking, frequent alcohol consumption, and high fast food intake were associated with increased odds of failing physical fitness tests.
These findings highlighted the significant role of lifestyle factors, including parental influence, exercise frequency, duration and intensity, sleep duration, screen time, smoking, alcohol consumption, breakfast consumption habit, and fast food intake, in determining college students' physical fitness test outcomes.
大学生的身体素质不仅是当前健康状况的指标,也是未来幸福的预测因素。与全球趋势类似,中国快速的社会经济变化和显著的生活方式转变凸显了全面了解大学生身体素质的必要性。
我们的研究专注于描绘山东省大学生的身体素质状况,并确定影响其的因素。首先对所有自变量进行单因素卡方检验。随后,将具有统计学意义的变量纳入多因素逻辑回归分析,以确定大学生身体素质的决定因素。这些发现旨在为针对这一关键年龄组的有针对性的健康干预提供信息。
2024年9月至11月,采用分层随机整群抽样方法,对山东省176373名19至22岁的大学生进行了大规模调查。总体身体素质合格率为92.03%,女生表现略优于男生。城市学生的合格率高于农村学生。在调整性别和户籍因素后,多因素逻辑回归分析确定了影响身体素质的关键因素。父母参与体育锻炼以及对学生参与的支持与身体素质测试不及格的几率较低相关。经常锻炼、锻炼时间长以及中等至高强度活动与更好的身体素质结果相关。充足的睡眠和规律的早餐摄入也降低了身体素质测试不及格的可能性。相比之下,过长的屏幕使用时间、吸烟、频繁饮酒和高快餐摄入量与身体素质测试不及格的几率增加相关。
这些发现突出了生活方式因素在决定大学生身体素质测试结果中的重要作用,这些因素包括父母的影响、锻炼频率、时长和强度、睡眠时间、屏幕使用时间、吸烟、饮酒、早餐消费习惯和快餐摄入量。