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

FENG Xinyi; YAN Xu; DONG Yaowu

doi:10.16835/j.cnki.1000-9817.2022.09.032

Volume 43 Issue 9

Sep. 2022

Turn off MathJax

Article Contents

Abstract

References

Article Navigation > CHINESE JOURNAL OF SCHOOL HEALTH > 2022 > 43(9): 1412-1415

FENG Xinyi, YAN Xu, DONG Yaowu. Correlation between screen time, physicial activity as well as neck and shoulder pain among university students in Tianjin[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(9): 1412-1415. doi: 10.16835/j.cnki.1000-9817.2022.09.032

Citation:

FENG Xinyi, YAN Xu, DONG Yaowu. Correlation between screen time, physicial activity as well as neck and shoulder pain among university students in Tianjin[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(9): 1412-1415. doi: 10.16835/j.cnki.1000-9817.2022.09.032

Citation:

PDF( 393 KB)

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

doi: 10.16835/j.cnki.1000-9817.2022.09.032

FENG Xinyi¹,
YAN Xu²,
DONG Yaowu^{1
,
,}

1.
Infirmary, Tianjin University of Technology, Tianjin (300384), China

Received Date: 2022-03-03
Rev Recd Date: 2022-04-26

Available Online: 2022-09-23

Publish Date: 2022-09-25

Abstract

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 (χ²=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.
- Neckpain,
- Shoulder pain,
- Fixation, ocular,
- Time,
- Regression analysis,
- Students

FullText(HTML)

References(24)

References

[1]	CASPERSEN C J, POWELL K E, CHRISTENSON G M. Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research[J]. Public Health Rep, 1985, 100(2): 126-131.
[2]	XU F, ADAMS S K, COHEN S A, et al. Relationship between physical activity, screen time, and sleep quantity and quality in US adolescents aged 16-19[J]. Int J Environ Res Public Health, 2019, 16(9): 1524. doi: 10.3390/ijerph16091524
[3]	MINEMATSU K, KAWABUCHI R, OKAZAKI H, et al. Physical activity cutoffs and risk factors for preventing child obesity in Japan[J]. Pediatr Int, 2015, 57(1): 131-136. doi: 10.1111/ped.12446
[4]	ZHANG J, LI X Y, HAWLEY N, et al. Trends in the prevalence of overweight and obesity among Chinese school-age children and adolescents from 2010 to 2015[J]. Child Obes, 2018, 14(3): 182-188. doi: 10.1089/chi.2017.0309
[5]	SANTOSHI J A, JAIN S, POPALWAR H J, et al. Musculoskeletal disorders and associated risk factors in coaching students: a cross-sectional study[J]. J Fam Med Primary Care, 2019, 8(3): 929-933. doi: 10.4103/jfmpc.jfmpc_54_19
[6]	SⅡVOLA S M, LEVOSKA S, LATVALA K, et al. Predictive factors for neck and shoulder pain: a longitudinal study in young adults[J]. Spine(Phila Pa 1976), 2004, 29(15): 1662-1669. doi: 10.1097/01.BRS.0000133644.29390.43
[7]	屈宁宁, 李可基. 国际体力活动问卷中文版的信度和效度研究[J]. 中华流行病学杂志, 2004, 25(3): 265-268. doi: 10.3760/j.issn:0254-6450.2004.03.021 QU N N, LI K J. Study on the reliability and validity of international physical activity questionnaire[J]. Chin J Epidemiol, 2004, 25(3): 265-268. doi: 10.3760/j.issn:0254-6450.2004.03.021
[8]	BULL F C, AL-ANSARI S S, BIDDLE S, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour[J]. Br J Sports Med, 2020, 54(24): 1451-1462. doi: 10.1136/bjsports-2020-102955
[9]	KUSS D J, GRIFFITHS M D, KARILA L, et al. Internet addiction: a systematic review of epidemiological research for the last decade[J]. Curr Pharm Des, 2014, 20(25): 4026-4052. doi: 10.2174/13816128113199990617
[10]	杜巍巍, 王生, 王建新, 等. 肌肉骨骼疾患问卷的信度与效度评价[J]. 中华劳动卫生职业病杂志, 2012, 30(5): 335-338. doi: 10.3760/cma.j.issn.1001-9391.2012.05.004 DU W W, WANG S, WANG J X, et al. The assessment of reliability and validity of musculoskeletal questionnaire[J]. Chin J Industr Hyg Occupat Dis, 2012, 30(5): 335-338. doi: 10.3760/cma.j.issn.1001-9391.2012.05.004
[11]	李倩倩, 郭怡琼, 靳利梅, 等. 兰州市在校大学生视频时间及对相关健康问题的影响[J]. 中国学校卫生, 2017, 38(11): 1709-1712. doi: 10.16835/j.cnki.1000-9817.2017.11.032 LI Q Q, GUO Y Q, JIN L M, et al. Video duration of college students in Lanzhou and its influence on related health problems[J]. Chin J Sch Health, 2017, 38(11): 1709-1712. doi: 10.16835/j.cnki.1000-9817.2017.11.032
[12]	BUABBAS A J, AL-MASS M A, AL-TAWARI B A, et al. The detrimental impacts of smarttechnology device overuse among schoolstudents in Kuwait: a cross-sectional survey[J]. BMC Pediatr, 2020, 20(1): 524. doi: 10.1186/s12887-020-02417-x
[13]	MANZ K, SCHLACK R, POETHKO-MULLER C, et al. KiGGS study group physical activity and electronic media use in children and adolescents: results of the KiGGS study; first follow-up (KiGGS wave 1)Bundesgesundheitsblatt Gesundh[J]. Gesundh, 2014, 57(7): 840-848.
[14]	CAI Y J, ZHU X H, WU X P. Overweight, obesity, and screen-time viewing among Chinese school-aged children: national prevalence estimates from the 2016 physical activity and fitness in China: the youth study[J]. J Sport Health Sci, 2017, 6(4): 404-409. doi: 10.1016/j.jshs.2017.09.002
[15]	JIMENEZ-PAVON D, FERNANDEZ-VAZQUEZ A, ALEXY U, et al. Association of objectively measured physical activity with body components in European adolescents[J]. BMC Public Health, 2013, 13: 667. doi: 10.1186/1471-2458-13-667
[16]	KEANE E, KELLY C, MOLCHO M, et al. Physical activity, screen time and the risk of subjective health complaints in school-aged children[J]. Prev Med, 2017, 96: 21-27. doi: 10.1016/j.ypmed.2016.12.011
[17]	NING X, HUANG Y, HU B, et al. Neck kinematics and muscle activity during mobile device operations[J]. Int J Ind Ergon, 2015, 48: 10-15. doi: 10.1016/j.ergon.2015.03.003
[18]	JOERGENSEN A C, STRANDBERG-LARSEN K, ANDERSEN P K, et al. Spinal pain in pre-adolescence and the relation with screen time and physical activity behavior[J]. BMC Musculoskelet Disord, 2021, 22(1): 393. doi: 10.1186/s12891-021-04263-z
[19]	PIRNES K P, KALLIO J, KANKAANPAA A, et al. Associations of neck and shoulder pain with objectively measured physical activity and sedentary time among school-agedchildren[J]. Scand J Pain, 2020, 20(4): 821-827. doi: 10.1515/sjpain-2020-0038
[20]	FRANZ C, MOLLER N C, KORSHOLM L, et al. Physical activity is prospectively associated with spinal pain in children(CHAMPS Study-DK)[J]. Sci Rep, 2017, 7(1): 11598. doi: 10.1038/s41598-017-11762-4
[21]	EKELUND U, STEENE-JOHANNESSEN J, BROWN W J, et al. Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised Meta-analysis of data from more than 1 million men and women[J]. Lancet, 2016, 388(10051): 1302-1310. doi: 10.1016/S0140-6736(16)30370-1
[22]	MOTAMED-GORJI N, QORBAN M, NIKKHO F, et al. Association of screen time and physical activity with health-relatedquality of life in Iranian children and adolescents[J]. Health Qual Life Outcomes, 2019, 17(1): 2. doi: 10.1186/s12955-018-1071-z
[23]	DONG X S, DING M, CHEN W X, et al. Relationship between smoking, physical activity, screen time, and quality of life among adolescents[J]. Int J Environ Res Public Health, 2020, 17(21): 8043. doi: 10.3390/ijerph17218043
[24]	CRIST-MONTERO C, CHILLON P, LABAYEN I, et al. Cardiometabolic risk through an integrative classification combining physical activity and sedentary behavior in European adolescents: helena study[J]. J Sport Health Sci, 2019, 8: 55-62. doi: 10.1016/j.jshs.2018.03.004

Relative Articles

[1]	HAN Feifei, GAO Xin, XIE Yang, TAO Shuman, WAN Yuhui, TAO Fangbiao. Status and correlation of neck-shoulder pain, low back pain and mental sub-health among adolescents[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2024, 45(4): 479-482. doi: 10.16835/j.cnki.1000-9817.2024122
[2]	ZHU Yi, XU Shaojun, ZHANG Xinyu, ZHAO Mengya, WAN Yuhui, TAO Fangbiao. Association between non-school sedentary time and myopia among primary and secondary school students with different levels of physical activity[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(7): 1044-1048. doi: 10.16835/j.cnki.1000-9817.2023.07.019
[3]	CAO Hui, LIAN Xinyao, CHEN Yuanyuan, SU Mintao, XU Qingsong, LIN Shujian, LIU Jufen. Review on screen time among children and adolescents and impact on mental health[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(3): 462-465. doi: 10.16835/j.cnki.1000-9817.2023.03.033
[4]	YIN Cancan, SHI Jiaojiao, WANG Yujie, LYU Pingping, YAN Yujie, SHI Huijing. Screen use behavior before and after COVID-19 among primary and middle school students in Shanghai[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(1): 61-66. doi: 10.16835/j.cnki.1000-9817.2022.01.014
[5]	CHEN Ting, HE Yibin, FAN Yi, SONG Xiaoguang, FANG Xiaoyan, ZHU Hui. Prevalence and associations of overweight obesity and sleep duration among university students in Jiangxi Province[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(10): 1574-1578. doi: 10.16835/j.cnki.1000-9817.2022.10.031
[6]	LONG Xin, ZHANG Hongwei, JI Ying, ZHANG Xianan, XIE Lijing. Physical activity among senior primary school students on weekends in Beijing[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(2): 190-193. doi: 10.16835/j.cnki.1000-9817.2022.02.007
[7]	YE Sheng, YANG Yue, LIU Hui, LIU Li. Relationship between screen time, sleep duration and depressive symptoms among middle school students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(7): 1015-1018. doi: 10.16835/j.cnki.1000-9817.2022.07.014
[8]	LYU Zixin, LI Tao. Relationship between physical activity screen time and sleep duration and overweight and obesity among children and adolescents in Beijing-Tianjin-Hebei region[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(4): 502-506. doi: 10.16835/j.cnki.1000-9817.2022.04.005
[9]	YUAN Xiaolin, LIU Kaiqi, WANG Yuying, XU Tao, ZHENG Xiaoguo, YANG Zhenyu, ZHANG Qian, ZHAO Wenhua. Relationship between screen time and myopia in children aged 11-14 years in China[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(3): 333-337. doi: 10.16835/j.cnki.1000-9817.2022.03.004
[10]	SHI Jiaojiao, SHI Huijing, WANG Yujie, YIN Cancan, LYU Pingping, YAN Yujie, WANG Ling. Electric screen time of urban preschoolers during and before COVID-19[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(3): 345-349. doi: 10.16835/j.cnki.1000-9817.2022.03.007
[11]	LIU Zhihao, LIU Zhiye, LYU Shuhong. Association of screen time with self-injury behavior among primary school students in five provinces in China[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(3): 363-366. doi: 10.16835/j.cnki.1000-9817.2021.03.011
[12]	SUN Lijing, ZHANG Zhe, ZHOU Yuefang, ZHOU Xinyi, LUO Chunyan. Sleep duration, sleep quality and related factors among primary school students in Shanghai[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(3): 354-357. doi: 10.16835/j.cnki.1000-9817.2021.03.009
[13]	ZHANG Peiyu, XU Jie, ZHANG Wanting, LIU Xuan, TIAN Xi, YANG Xueyan, NIU Xiaoli. Health literacy, screen time and associated factors among middle school students in Yinchuan[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(4): 551-555. doi: 10.16835/j.cnki.1000-9817.2021.04.017
[14]	SUN Yi, LIU Weijia, XIONG Lihua, QU Yabin, CHEN Siyu, WU Deping, LIN Rong.. Relationship between moderate to vigorous physical activity, screen time and depressive symptoms among middle school students in Guangzhou/[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(10): 1499-1503. doi: 10.16835/j.cnki.1000-9817.2021.10.013
[15]	HUANG Weihao, LU Shuang, YANG Shuyi, DENG Nali, TAN Weiqing, LIANG Jianping, LI Banghai, AO Liping, LIU Li, YANG Yi. Association between screen time and dietary behaviors among urban middle school students in Guangzhou[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2020, 41(4): 528-530,534. doi: 10.16835/j.cnki.1000-9817.2020.04.013
[17]	XU Yongfeng, ZHANG Li. Effectiveness of Tai Ji exercise on shoulder, neck and back pain among college students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2019, 40(7): 994-996,1000. doi: 10.16835/j.cnki.1000-9817.2019.07.010
[18]	CHANG Litao, LIU Hong, HUANG Dafeng, CHEN Lu, YANG Yunjuan, DAI Limei, YANG Fan, TAN Min. Relationship between sleep duration and central obesity among primary and middle school in Yunnan[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2018, 39(5): 735-737. doi: 10.16835/j.cnki.1000-9817.2018.05.028
[19]	Investigation and countermeasures of internet-surfing and neck and shoulder diseases among university students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2016, 37(1): 84-86. doi: 10.16835/j.cnki.1000-9817.2016.01.025
[20]	Academic procrastination and time management disposition among adolescent[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2014, 35(1): 64-66.

Supplements(0)

Cited By

Cited by

Periodical cited type(2)

1.	张方芳，张文翠，杨思怡，沈科，奚超. 大学生童年不良经历与聚集性健康危险行为的关联. 中国学校卫生. 2024(11): 1560-1564 . 本站查看
2.	纪之光，陆乐，王洪彪. 体力活动水平在医学生压力感知与抑郁状态关系间的中介作用. 中国继续医学教育. 2023(08): 134-139 .