A randomized study of CrossFit Kids for fostering fitness and academic outcomes in middle school students

背景(考古学) 随机对照试验 身体素质 心理学 干预(咨询) 学业成绩 物理疗法 老年学 医学 发展心理学 生物 精神科 外科 古生物学
作者
Barry A. Garst,Edmond P. Bowers,Lauren E. Stephens
出处
期刊:Evaluation and Program Planning [Elsevier BV]
卷期号:83: 101856-101856 被引量:18
标识
DOI:10.1016/j.evalprogplan.2020.101856
摘要

Within the context of school-based physical education (PE), a strength and conditioning program called CrossFit Kids (CFK) has emerged as a potential intervention for positively impacting students. The purpose of this study was to evaluate through a randomized-controlled trial how academic and health-related fitness outcomes differed for middle school students (age = 12.73; 55.3 % male) who participated in a school-based CFK program (n=72) as compared to a group of students who participated in PE class (n=72). Questionnaire data were collected twice across the 9-month academic year and combined with FitnessGram and grade data. Students in both the intervention and comparison groups increased in health-related fitness outcomes (all p values < .017), and there was a significant treatment group by time interaction on school-reported grades [F(1, 124) = 7.270, p = .008, η_P^2 = .055]. Significant gender by time interaction effects were found for the relationship between CFK or PE participation and health-related fitness outcomes, but there were no significant interaction effects by gender on academic outcomes. Because developmental outcomes are conditional and result from the coaction of many factors, the findings suggest that some elements of CFK might be beneficial to build skills yet disadvantageous to academic outcomes.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
CHer完成签到,获得积分10
1秒前
HE发布了新的文献求助10
1秒前
叶伟完成签到,获得积分10
1秒前
1秒前
2秒前
CodeCraft应助pxptmac采纳,获得10
2秒前
3秒前
3秒前
李爱国应助大小多少采纳,获得10
4秒前
lei完成签到,获得积分20
4秒前
4秒前
4秒前
4秒前
等等有力气完成签到,获得积分10
5秒前
周晏平发布了新的文献求助10
6秒前
在水一方应助叶伟采纳,获得10
6秒前
peekaboo发布了新的文献求助10
6秒前
7秒前
香蕉觅云应助可耐的慕梅采纳,获得10
7秒前
haha发布了新的文献求助10
7秒前
852应助ubiquitin采纳,获得10
8秒前
8秒前
9秒前
ZLWF发布了新的文献求助10
9秒前
金莐发布了新的文献求助10
10秒前
11秒前
馀翀完成签到,获得积分10
11秒前
11秒前
锂离子完成签到,获得积分10
13秒前
14秒前
14秒前
14秒前
MX001完成签到,获得积分10
15秒前
NO0809完成签到,获得积分10
16秒前
121发布了新的文献求助10
16秒前
17秒前
我要发核心完成签到 ,获得积分10
17秒前
pxptmac发布了新的文献求助10
17秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Parallel Optimization 200
Deciphering Earth's History: the Practice of Stratigraphy 200
New Syntheses with Carbon Monoxide 200
Quanterion Automated Databook NPRD-2023 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3835693
求助须知:如何正确求助?哪些是违规求助? 3378029
关于积分的说明 10501900
捐赠科研通 3097669
什么是DOI,文献DOI怎么找? 1705937
邀请新用户注册赠送积分活动 820760
科研通“疑难数据库(出版商)”最低求助积分说明 772260