Musculoskeletal health in esport: a cross-sectional comparison of musculoskeletal pain among young Danish esports players and handball players

Author:

Sand Hansen Frederik,Lyngs Mathias,Dyg Hyllested Lauridsen Mathias,Lund Straszek Christian

Abstract

Abstract Purpose There is a continuous debate regarding musculoskeletal (MSK) pain prevalence and training volume among amateur esports players. Previous findings suggest that MSK pain may limit esports participation in this group; however, these results have yet to be replicated in a similar population. It also remains to be investigated whether MSK pain is more prevalent in esports compared to other activities, such as handball. The objectives were (1) to compare MSK pain prevalence among amateur esports players and another group of sports-active amateur players and (2) to investigate whether MSK pain would impact training volume in the two groups. Methods Eligible players for this cross-sectional study had to engage in either structured esports or handball and be 15–25 years of age to participate. Demographic data, self-reported MSK pain prevalence, training volume, sleep patterns, physical activity level, and activity-limiting pain and burnout were obtained through online questionnaires. Results In total, 76 esports players and 175 handball players were included. Overall, 48% of esports players and 80% of handball players experienced MSK pain. The odds of experiencing MSK pain were significantly lower in esports compared to handball (OR: 0.24, 95% CI 0.13–0.43, chi-square p < 0.001). There was no significant difference in training volume between players with or without MSK pain in either group. Esports players had significantly higher training volume (additional 13 h/week, p < 0.001) compared to handball players. Conclusion These findings indicate that esports players are not at increased odds of experiencing MSK pain compared to handball players despite significant differences in training volume.

Funder

University College of Northern Denmark

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3