长期军事体能训练对男性青年学员体成分、骨密度产生的影响研究
The Influence of Prolonged Military Physical Fitness Training on Body Composition and Bone Density in Young Male Cadets
冯玉柱 1田东 1冯岩 1朱灵玉 1魏建玺 1许辉 1余小强 1徐盛嘉 1马继政1
作者信息
- 1. 陆军工程大学军事基础系军人体能训练与机能评定实验室,江苏南京 211101
- 折叠
摘要
目的:研究长期军事体能训练对男性青年学员体成分、骨密度产生的影响,为日常训练提供依据.方法:选取经过短期训练21学员为对照组,经过长期训练33学员为实验组,采用双能X射线骨密度仪进行体成分检测.结果:实验组整体脂肪质量、全身脂肪百分比、肥胖指数/体重显著低于对照组(P＜0.05),而腹臀比、躯干脂肪比/腿部脂肪比、躯干/四肢脂肪质量比不存在差异(P＞0.05);整体消瘦质量、消瘦指数,左侧上、下肢消瘦质量比(％)、右侧上、下肢消瘦质量比(％)不具有显著性差异(P＞0.05);整体骨密度、年龄匹配Z-评分不具有显著性差异(P＞0.05).结论:长期体能训练可显著降低脂肪,但对骨密度影响不大,训练方案中应增加一些成骨训练,以促进骨健康.
Abstract
OBJECTIVE:This study aims to explore the effects of prolonged military physical fitness training on the body composition and bone density of young male cadets,providing a foundation for everyday training practices.METHODS:Twenty-one cadets undergoing short-term training were selected as the control group,while 33 cadets undergoing long-term training were chosen as the experimental group.Dual-energy X-ray absorptiometry was employed for body composition analysis.RESULTS:The experimental group exhibited significantly lower overall fat mass,total body fat percentage,and obesity index/body weight compared to the control group(P＜0.05).However,no significant differences were observed in waist-hip ratio,trunk fat ratio/leg fat ratio,and trunk/limb fat mass ratio(P＞0.05).There were no significant differences in overall lean mass,lean index,left upper/lower limb lean mass ratio(％),and right upper/lower limb lean mass ratio(％)(P＞0.05).Overall bone density and age-matched Z-scores showed no significant differences(P＞0.05).CONCLUSION:Prolonged physical fitness training can significantly reduce fat but has limited impact on bone density.Training programs should include osteogenic exercises to promote bone health.
关键词
体成分/骨密度/体能训练Key words
body composition/bone density/physical fitness training引用本文复制引用
基金项目
江苏省自然科学基金(2021)(BK20211228)
陆军工程大学基础前沿科技创新项目(2023)(KYJXJKQTZY23001)
陆军工程大学基础前沿科技创新项目(2023)(23002)
陆军工程大学青年创新基金重点项目(2023)(KYJXJKQTZQ23002)
陆军工程大学军事基础系青年创新基金(2023)()
出版年
2024
NETL
NSTL
万方数据