student athletes

  • 文章类型: Journal Article
    评估沟通和协调的有效性,并设计一个渐进式和个性化的运动专项训练计划,以减少青少年男女足球和手球运动员过渡到体育学院高中的伤害发生率。另一个目的是调查报告的伤害的特征。
    42名挪威运动员被随机分为干预组或对照组。平均年龄,高度,体重和BMI为15.5±0.5岁,178.6cm±6.3cm,71.3±9.8kg,干预组(IG)的BMI为22.3±2.7(n=23),15.4±0.5年,175.6cm±6.6cm,67.1±9.8kg,对照组(CG)BMI为21.7±2.4(n=19)。暑假期间,干预组每周接受渐进式,个性化的运动专项训练计划和每周随访电话来自研究人员。所有运动员都完成了基线问卷和身体测试电池。使用奥斯陆运动创伤研究中心健康问题问卷(OSTRC-H2)前瞻性记录22周的训练数据和伤害。进行了独立性的双向卡方(χ2)检验,以检查群体与伤害之间的关系。
    所有损伤的平均每周患病率在IG中为11%(95%CI:8%-14%),在CG中为19%(95%CI:13%-26%)。在IG和CG中,每周平均重大损伤的发生率为7%(95%CI:3%-10%)和10%(95%CI:6%-13%)。受伤的组间差异显着:χ2(1,N=375)=4.865,p=.031,φ=.114,CG中受伤风险高1.8倍。在入学后的前12周内进行IG。
    对于过渡到体育学院高中的学生运动员,渐进的个性化,特定运动训练计划降低了入学后所有投诉伤害的发生率.在学生运动员监督较少的时期,俱乐部和学校应优先考虑时间和资源来实施类似的干预措施。比如暑假,以促进向体育学院高中的最佳过渡。
    UNASSIGNED: To evaluate the effectiveness of communication and coordination combined with designing a progressive and individualised sport-specific training program for reducing injury prevalence in youth female and male football and handball players transitioning to a sports academy high school. An additional aim was to investigate the characteristics of the reported injuries.
    UNASSIGNED: Forty-two Norwegian athletes were randomised into an intervention or control group. Mean age, height, weight and BMI was 15.5 ± 0.5 years, 178.6 cm ± 6.3 cm, 71.3 ± 9.8 kg, 22.3 ± 2.7 BMI for the intervention group (IG) (n = 23), and 15.4 ± 0.5 years, 175.6 cm ± 6.6 cm, 67.1 ± 9.8 kg, 21.7 ± 2.4 BMI for the control group (CG) (n = 19). During the summer holiday, the intervention group received weekly progressive, individualised sport-specific training programs and weekly follow-up telephone calls from the researchers. All athletes completed a baseline questionnaire and a physical test battery. Training data and injuries were recorded prospectively for 22 weeks using the Oslo Sports Trauma Research Center Questionnaire on Health Problems (OSTRC-H2). A two-way chi-square (χ2) test of independence was conducted to examine the relationship between groups and injury.
    UNASSIGNED: Average weekly prevalence of all injuries was 11% (95% CI: 8%-14%) in IG and 19% (95% CI: 13%-26%) in CG. Average weekly prevalence of substantial injuries was 7% (95% CI: 3%-10%) in IG and 10% (95% CI: 6%-13%) in CG. The between-group difference in injuries was significant: χ2 (1, N = 375) = 4.865, p = .031, φ = .114, with 1.8 times higher injury risk in CG vs. IG during the first 12 weeks after enrolment.
    UNASSIGNED: For student athletes transitioning to a sports academy high school, progressive individualised, sport-specific training programs reduced the prevalence of all-complaint injuries following enrolment. Clubs and schools should prioritise time and resources to implement similar interventions in periods where student athletes have less supervision, such as the summer holidays, to facilitate an optimal transition to a sports academy high school.
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  • 文章类型: Journal Article
    新冠肺炎疫情改变了我们的生活方式,睡眠和身体活动习惯。这项研究评估了睡眠质量差的患病率,它的破坏者,以及大流行对大学运动员的影响。我们对大学运动员进行了横断面研究(N=339,平均年龄:20(IQR,19-21)岁,48.5%女性,47%的个人体育)在2021年4月收到了基于网络的问卷。这项调查包括主题特征,时间型,睡眠破坏者,大流行和睡眠质量引起的变化(匹兹堡睡眠质量指数[PSQI])。进行多元线性回归以评估睡眠质量与睡眠质量之间的关系。性别,时间型,睡眠干扰和训练量或睡眠的变化。结果显示63.7%的人睡眠质量受到干扰。五分之一的学生每晚的总睡眠时间低于6.5小时。睡眠质量差与与大流行有关的夜间担忧显着相关,晚上的时间类型,女性性别,学习的第三年,咖啡因消耗和缺乏睡眠常规(所有p<0.05)。最后,睡眠质量差在大学运动员中很常见。睡眠干扰因素在这一人群的生活习惯中仍然普遍存在,并且可能因与COVID-19大流行相关的变化而加剧。在回归后covid常态的过程中,睡眠卫生应成为体育教育的主要方面。
    The COVID-19 pandemic has changed our lifestyle, sleep and physical activity habits. This study evaluated the prevalence of poor sleep quality, its disrupters, and the impact of the pandemic in collegiate athletes. We performed a cross-sectional study of collegiate athletes (N = 339, median age: 20 (IQR,19−21) years old, 48.5% female, 47% individual sports) who received a web-based questionnaire in April 2021. This survey included subject characteristics, chronotype, sleep disrupters, the changes due to the pandemic and sleep quality (Pittsburg Sleep Quality Index [PSQI]). A multivariate linear regression was performed to assess the relationship between sleep quality, gender, chronotype, sleep disrupters and the changes to training volume or sleep. Results showed a disrupted sleep quality in 63.7%. One in five students had a total sleep time under 6.5 h per night. Poor sleep quality was significantly correlated with nocturnal concerns related to the pandemic, evening chronotype, female gender, third year of study, caffeine consumption and lack of sleep routine (all p < 0.05). To conclude, poor sleep quality is common in collegiate athletes. Sleep disrupters remain prevalent in the lifestyle habits of this population and may have been exacerbated by changes related to the COVID-19 pandemic. Sleep hygiene should become a major aspect of sports education during the return to post-covid normality.
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