Tsukahara Yuka, Hieda Yuka, Takayanagi Satomi, Macznik Aleksandra
Faculty of Physical Education, Tokyo Women's College of Physical Education, Tokyo 186-8668, Japan.
Sports (Basel). 2022 Jul 28;10(8):114. doi: 10.3390/sports10080114.
Although research on COVID-19 is prevalent, risk factors for contracting COVID-19 and lifestyle changes in athletes during the COVID-19 pandemic have not been thoroughly investigated. This study included 254 female collegiate athletes and 107 female non-athletes from Japan, who completed an anonymous survey comprising questions about COVID-19, personal background and lifestyle changes during the pandemic. A total of 6.30% athletes and 6.54% non-athletes had tested positive for COVID-19. The majority reported no change in menstrual cycle (80.31% and 78.50% for athletes and non-athletes, respectively). Wake-up time and bedtime were delayed in some athletes (42.13% and 39.25%, respectively) and non-athletes (46.73% and 31.30%, respectively) during the pandemic. Body mass index (BMI) was significantly higher in COVID-19 (+) athletes than in their COVID-19 (−) counterparts (22.78 ± 3.40 and 21.26 ± 2.06, respectively, p < 0.01) and logistic regression analysis revealed that younger students and those with higher BMI had an increased risk of contracting COVID-19. The proportion of vaccinated students was significantly higher in athletes than in non-athletes (p < 0.01). Whether the student was an athlete or not was not a related factor in contracting COVID-19. Extra attention should be focused on athletes experiencing weight gain or staying up late and experiencing lower quality sleep.
尽管关于新冠病毒(COVID-19)的研究很普遍,但在新冠疫情期间,感染COVID-19的风险因素以及运动员的生活方式变化尚未得到充分调查。本研究纳入了来自日本的254名大学女运动员和107名非运动员女性,她们完成了一项匿名调查,内容包括关于COVID-19、个人背景以及疫情期间生活方式变化的问题。共有6.30%的运动员和6.54%的非运动员COVID-19检测呈阳性。大多数人报告月经周期没有变化(运动员和非运动员分别为80.31%和78.50%)。在疫情期间,一些运动员(分别为42.13%和39.25%)和非运动员(分别为46.73%和31.30%)的起床时间和就寝时间推迟。COVID-19阳性运动员的体重指数(BMI)显著高于COVID-19阴性的运动员(分别为22.78±3.40和21.26±2.06,p<0.01),逻辑回归分析显示,年龄较小的学生和BMI较高的学生感染COVID-19的风险增加。运动员中接种疫苗的学生比例显著高于非运动员(p<0.01)。学生是否为运动员并非感染COVID-19的相关因素。应特别关注体重增加、熬夜且睡眠质量较低的运动员。