间歇训练改善超重大学生体脂率的网状Meta分析

李振; 韩永强; 王晨宇; 甄洁; 肖涛

doi:10.16835/j.cnki.1000-9817.2021.12.010

间歇训练改善超重大学生体脂率的网状Meta分析

doi: 10.16835/j.cnki.1000-9817.2021.12.010

李振^{1, 2},
韩永强³,
王晨宇¹,
甄洁^{1, 2},
肖涛^{1, 2, ,}

1.
郑州大学体育学院(校本部)，河南 450001
2.
河南省学生体质健康促进研究中心
3.
淄博实验中学

基金项目:

2020年度教育部人文社科规划基金项目 20YJA890029

2021年河南省哲学社会科学规划课题 2021BT Y017

2021年河南省教育科学“十四五”规划课题 2021YB0008

详细信息

作者简介:
李振(1996-)，男，山东淄博人，在读硕士，主要研究方向为运动与健康促进

通讯作者:
肖涛，E-mail：xiaotao@zzu.edu.cn

中图分类号: G804.49 G808 R179
计量
- 文章访问数: 629
- HTML全文浏览量: 247
- PDF下载量: 59
- 被引次数: 0
出版历程
- 收稿日期: 2021-03-27
- 修回日期: 2021-08-02
- 网络出版日期: 2021-12-23
- 刊出日期: 2021-12-25

Meta-analysis of the effects of high-intensity interval training on metabolic syndrome in overweight college students

LI Zhen^{1, 2},
HAN Yongqiang³,
WANG Chenyu¹,
ZHEN Jie^{1, 2},
XIAO Tao^{1, 2
, ,}

1.
School of Physical Education, Zhengzhou University, Zhengzhou(450001), China

摘要

摘要: 目的通过Meta分析对比重复冲刺训练(RST)、高强度间歇训练(HIIT)及短跑间歇训练(SIT)等3种不同间歇训练类型与中等强度耐力训练(MICT)干预超重大学生体脂率的效果，为超重大学生采用合适的锻炼方法提供参考。方法检索和筛选Web of Science、PubMed、Scopus、The Cochrane Library及中国知网等数据库中建库至2020年4月1日关于HIIT、SIT、RST及MICT干预超重大学生的随机对照实验研究文献，进行数据提取及偏倚风险的评估，采用Stata 16.0软件进行Meta分析和网状Meta分析。结果共纳入18篇文献815个样本; Meta分析显示HIIT(SMD=-0.26，95%CI=-0.52~-0.00，P＜0.05)与SIT(SMD=-0.39，95%CI=-0.72~-0.07，P < 0.05)在降低体脂率方面优于MICT; RST与MICT相比差异无统计学意义(SMD=0.28，95%CI=0.32~0.87，P>0.05)。通过SUCRA法结合效应量发现干预体脂率效果的最优可能性概率排序为：SIT(SUCRA=79.3)>HIIT(SUCRA=78.2)>RST(SUCRA=56.8)>MICT(SUCRA=35.7)。结论高强度间歇训练在减少超重大学生体脂率方面整体优于MICT，且通过SIT进行锻炼可能会取得最优的减脂效果。
- 体育和训练 /
- 超重 /
- 体脂肪率 /
- Meta分析 /
- 学生
Abstract: Objective In this study, a meta-analysis was conducted to evaluate and compare the effects of different types of interval training, such as, repeated-sprint training(RST), high-intensity interval training(HIIT) and sprint-interval training(SIT) on body index of overweight/obese college students and the effect of moderate-intensity continuous training(MICT), so as to provide a reference for taking appropriate exercise measures. Methods The data was searched and selected from the database of Web of Science, PubMed, Scopus, The Cochrane Library and CNKI, and from the articles about random research on the effects of HIIT, SIT, RST, and MICT on overweight/obese college students for the evaluation of bias risk. And Stata 16.0 software was used for Meta analysis and network-analysis. Results Totally 815 samples selected from 18 articles were included in the study. Meta analysis showed that HIIT(SMD=-0.26, 95%CI=-0.52--0.00, P < 0.05) and SIT(SMD=-0.39, 95%CI=-0.72--0.07, P < 0.05) could make greater effects on BMI than MICT. The differences between RST and MICT were of no statistical significance(SMD=0.28, 95%CI=0.32-0.87, P>0.05). According to the SUCRA method combined with effect size, the best effect on improving MetS related physiological indexes of overweight college students was found in SIT(SUCRA=79.3), followed by HIIT(SUCRA=78.2), RST(SUCRA=56.8), and MICT(SUCRA=35.7). Conclusion Compared with MICT, high intensity interval training can greatly improve BMI of the obese/overweight college students, and could achieve the optimal effect of reducing the fat by exercising through SIT.
- Physical education and training /
- Overweight /
- Adiposity /
- Meta-analysis /
- Students

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图 1 文献筛选流程

Figure 1. Flow chart of literature selection

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图 2 间歇训练改善超重大学生体脂率的Meta分析

Figure 2. Traditional Meta analysis of interval training improving body fat rate of college students

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图 3 间歇训练改善超重大学生体脂率的网状Meta分析

Figure 3. Analysis of net-like MT A in improving body fat rate of overweight college students by interval training

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图 4 各干预措施间的校正-比较发表偏倚

Figure 4. Comparison-adjusted funnel plot between interventions

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图 5 各干预措施有效性的SUCRA曲线

Figure 5. SUCRA graph of effectiveness among interventions

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表 1 纳入文献的基本特征

Table 1. Basic characteristics of the included literature

第一作者及年份	国籍	年龄/岁	样本量	运动形式(周)	实验组(负荷时间/间歇时间/组数)	对照组(持续运动时间/量)
Macpherson^[12](2011)	加拿大	22.8±3.1	男: 10，女: 10	跑步(6)	SIT(30 s/4 min/4)	MICT(30~60 min)
Heydari^[13](2012)	澳洲	24.7	男: 46	跑步(12)	RST(8 s/12 s/20 min)	不运动组
Ramin^[14](2012)	伊朗	22.1±0.49	女: 21	跑步机(8)	HIIT(4 min/3 min/8)	MICT(33 min/41 min)
Sijie^[15] (2012)	中国	19~20	女: 60	跑步(12)	HIIT(5 min/3 min/5)	MICT(42 min)
Kordi^[16](2013)	伊朗	18.54±0.67	女: 22	跑步(6)	RST(8 s/20 s/4~5)	不运动组
Fisher^[17](2015)	美国	20±1.5	男: 28	骑行(6)	SIT(30 s/5 min/4)	MICT(45~60 min)
Zhang^[18](2015)	中国	21±1	女: 43	跑台(12)	HIIT(4 min/10 min/4)	MICT(33 min)
Ahmadizad^[19](2015)	伊朗	25	男: 30	跑步(6)	HIIT(1 min/2 min/8)	MICT(30~70 min)
Kong^[20](2016)	中国	19.9±2.1	女: 22	功率车(5)	RST(8 s/12 s/60)	MICT(40 min)
Fedewa^[21](2016)	美国	20.4±1.5	女: 52	跑步(6)	SIT(30 s/4 min/3)	MICT(40 min)
Kong^[22](2016)	中国	21.5±4.0	女: 31	跑步(5)	RST(8 s/12 s/20 min)	MICT(40 min)
Higgins^[23](2016)	希腊	20.4±1.5	女: 52	功率车(6)	SIT(30 s/4 min/6)	MICT(20~30 min)
Elmer^[24](2016)	美国	21.4±1.1	男: 12	跑步(8)	HIIT(1 min/2 min/8)	MICT(40 min)
刘洪富^[25](2016)	中国	None	女: 42	功率车(12)	HIIT(1 min/1 min/15)	MICT(30 min)
Zhang^[26](2017)	中国	18~22	女: 43	功率车(12)	HIIT(4 min/1)	MICT(达到300 kJ)
高艳敏^[27](2017)	中国	21.6±1.4	男25，女: 25	跑台(12)	HIIT(4 min/5 min/5)	MICT(40 min)
Tong^[28](2018)	中国	18~23	女: 54	功率车(12)	RST(6 s/9 s/80)	HIIT(4 min/3 min)
Nie^[29](2018)	中国	21.0±1.1	女: 48	功率车(12)	HIIT(4 min/3 min/4)	MICT(45 min)

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