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      Correlation between screen time, physicial activity as well as neck and shoulder pain among university students in Tianjin

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          Abstract

          Objective To understand the relationships between screen time, physical activity, as well as neck and shoulder pain among university students in Tianjin.

          Methods In this study, 904 university students in Tianjin were investigated using the Chinese Musculos Keletal Questionnaire during April - June 2021. Binary Logistic regression analysis was used to understand the neck and shoulder pain and the correlation between screen time and physical activity.

          Results There was significant gender differences in the prevalence of neck and shoulder pain ( χ 2= 24.35, P<0.05). Binary Logistic regression analysis showed that among male students, the risk of neck and shoulder pain whose screen time more than 6 h/d was 4.55 times that of those with screen time ≤2 h/d, among female students, the risk of neck and shoulder pain whose exercise time >150 min/week was 0.63 times than that of students who exercised ≤75 min/week ( P <0.05). Among undergraduate and graduate students, physical activity ≥150 min/d was associated with lower rate of neck and shoulder pain ( OR = 0.52, 1.26, 0.61), while screen time ≥ 6 h/d was associated with higher rate of neck and shoulder pain ( OR = 2.39, 6.18, 2.97), and the differences were statistically significant ( P<0.05). The prevalence of neck and shoulder pain were higher in male students as well as undergraduate and graduate students who had higher screen time and higher physical activity than those with lower screen time and higher physical activity ( OR = 2.96, 2.35, 2.93) ( P<0.05).

          Conclusion High screen time and physical inactivity is associated with higher risk of neck and shoulder pain among college students. The effect of physical inactivity on neck and shoulder pain might be weaker than that of screen time. It is suggested that schools and families should cooperate to control screen activity and increase physical inactivity, so as to prevent the occurrence of neck and shoulder pain in college students.

          Abstract

          【摘要】 目的 了解天津市某髙校大学生视屏时间、体力活动与颈肩痛之间的关系, 为促进大学生身体健康提供参考。 方法 于 2021 年 4 一 6 月, 采用中文版肌肉骨骼疾患问卷对随机整群抽取的 904 名天津理工大学在校大学生进行调査, 通 过二元 Logistic 回归分析了解视屏时间、体力活动与颈肩痛之间的关联。 结果 大学生性别间颈肩痛发病率差异有统计 学意义 ( χ 2 = 24.35, P<0.05)。二兀 Logistic 回归分析显示, 视屏时间 >6 h/d 与男生颈肩痛的发生呈正相关 ( OR = 4.55), 体 力活动 >150 min/周与女生颈肩痛的发生呈负相关 ( OR = 0.63) ( P 值均 <0.05)。本科生与研究生群体及大学生整体体力活 动 >150 min/周与颈肩痛发生均呈负相关 ( OR值分别为 0.52, 1.26, 0.61), 视屏时间 >6 h/d 与颈肩痛发生呈正相关 ( OR值 分别为 2.39, 6.18, 2.97)( P 值均 <0.05), 在男生及本科、研究生群体中均发现髙视屏时间 x 髙体力活动人群较低视屏时间 x 髙体力活动人群的颈肩痛风险升髙 ( OR值分别为 2.96, 2.35, 2.93)( P 值均 <0.05)。 结论 体力活动不足与视屏时间过长 会增加大学生颈肩痛的风险, 体力活动不足对颈肩痛的影响弱于视屏活动。建议学校和家庭等多方面配合控制视屏时间, 增加体育锻炼, 进而预防大学生颈肩痛的发生。

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          Author and article information

          Journal
          CJSH
          Chinese Journal of School Health
          Chinese Journal of School Health (China )
          1000-9817
          01 September 2022
          01 September 2022
          : 43
          : 9
          : 1412-1415
          Affiliations
          [1] 1Infirmary, Tianjin University of Technology, Tianjin (300384), China
          Author notes
          *Corresponding author: DONG Yaowu, E-mail: dongyaowu66@ 123456163.com
          Article
          j.cnki.1000-9817.2022.09.032
          10.16835/j.cnki.1000-9817.2022.09.032
          9b44699c-7a57-4516-a702-ec1aa8362713
          © 2022 Chinese Journal of School Health

          This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 Unported License (CC BY-NC 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc/4.0/.

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          Self URI (journal-page): http://www.cjsh.org.cn
          Categories
          Journal Article

          Ophthalmology & Optometry,Pediatrics,Nutrition & Dietetics,Clinical Psychology & Psychiatry,Public health
          Regression analysis,Time,Fixation, ocular,Shoulder pain,Neckpain,Students

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