五周间歇有氧训练对短跑运动员身体成分的影响

Q3 Health Professions
Johansyah Lubis, Nakrob Thongdaeng, Aridhotul Haqiyah, A. Sukur, Dindin Abidin, Astri Ayu Irawan, Sri Sumartiningsih, Yulingga Nanda Hanief
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引用次数: 2

摘要

背景:背景:教练员的指导方向是影响各类笔杆武术运动员身体状况的一个重要因素。影响身体成分的体育锻炼之一是有氧运动。目的:本研究旨在探讨5周有氧间歇训练(AI)对优秀运动员身体质量指数(BMI)、基础心率和最大摄氧量的影响。方法:采用全抽样实验设计。本研究涉及30名国家级笔杆优秀运动员(男17名,女13名)。在参与者中,23人的BMI在18.5 - 24.9 kg/m2之间,7人的BMI在25 kg/m2以上(超重)。平均年龄23.67 + 4.10岁,平均身高166.03 + 7.15 cm,平均初始体重64.84 + 12.65 kg。他们正处于训练的准备阶段。本实验研究采用单组前测和后测设计。使用Mi小米Body Scale 2进行生物阻抗分析(BIA),并使用多阶段体能测试(MFT)获得身体组成(体重、BMI、体脂率、骨量、蛋白质百分比、总水体百分比、内脏脂肪、体龄、肌肉质量和基础代谢率[BMR])和最大摄氧量(VO2max)测量。运动员们住在一个宿舍里,那里的食物、训练和锻炼的类型以及睡眠时间都被控制在精确的条件下。AI训练每次持续67-77分钟,每周两次,持续五周,强度为最大心率的80-85%,每次间歇5分钟,每次间歇休息1分钟。结果:人工智能训练5周后,体重、体重指数、体脂率、基础心率、最大摄氧量差异有统计学意义(p 0.05)。然而,人工智能训练并没有显著改变肌肉质量、水百分比、蛋白质百分比、骨矿物质密度或生物年龄。结论:5周的人工智能训练提高了最大摄氧量,降低了基础心率、体重和脂肪率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Effect of Five-Week Aerobic Interval Training on The Body Composition of Pencak Silat Elite Athletes
Background: Background: The direction of coaching is emphasized as a factor affecting the physical conditions of pencak silat martial arts athletes in all categories. One of the physical exercises that affects body composition is aerobic activity. Objective: This study aimed to examine the effects of aerobic interval (AI) training performed for five weeks on the body mass index (BMI), basal heart rate, and the VO2max of elite athletes. Methods: The study used an experimental design involving total sampling. Thirty national-level pencak silat elite athletes (17 men and 13 women) were involved in this study. Of the participants, 23 had a normal BMI of 18.5 – 24.9 kg/m2, and 7 had a BMI above 25 kg/m2 (overweight). Their average age was 23.67 + 4.10 years with an average height of 166.03 + 7.15) cm and average initial weight of 64.84 + 12.65 kg. They were in the preparation phase of their training. This experimental research used a one-group pre-test and post-test design. The Mi Xiaomi Body Scale 2 was used for bioimpedance analysis (BIA), and body composition (body weight, BMI, body fat percentage, bone mass, protein percentage, total water body percentage, visceral fat, body age, muscle mass, and basal metabolic rate [BMR]) and VO2max measurements were acquired using a multistage fitness test (MFT). The athletes lived in a dormitory where the food, type of training and exercise, and sleeping time were controlled to the exact condition. The AI training lasted 67–77 minutes per session, twice a week for five weeks, with vigorous intensity at 80–85% of the maximal heart rate, 5 minutes per interval, and 1 minute of rest between each interval. Results: The weight, BMI, body fat percentage, basal heart rate, and VO2max showed significant differences (p 0.05) after five weeks of AI training. However, AI training did not significantly alter muscle mass, percentage of water, percentage of protein, bone mineral density, or biological age. Conclusion: AI training performed for five weeks improved VO2max and decreased basal heart rate, body weight, and fat percentage.
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来源期刊
International Journal of Kinesiology and Sports Science
International Journal of Kinesiology and Sports Science Health Professions-Physical Therapy, Sports Therapy and Rehabilitation
CiteScore
1.80
自引率
0.00%
发文量
7
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