Current status and correlates of screen time among children in Guangdong during the COVID-19 pandemic

ZHANG Shuxin; TAN Kaiyun; HUANG Sizhe; CHEN Zhao; LIANG Jinghong; CHEN Yajun

doi:10.16835/j.cnki.1000-9817.2021.08.007

Volume 42 Issue 8

Aug. 2021

Turn off MathJax

Article Contents

Article Navigation > CHINESE JOURNAL OF SCHOOL HEALTH > 2021 > 42(8): 1148-1151, 1155

ZHANG Shuxin, TAN Kaiyun, HUANG Sizhe, CHEN Zhao, LIANG Jinghong, CHEN Yajun. Current status and correlates of screen time among children in Guangdong during the COVID-19 pandemic[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(8): 1148-1151, 1155. doi: 10.16835/j.cnki.1000-9817.2021.08.007

Citation:

ZHANG Shuxin, TAN Kaiyun, HUANG Sizhe, CHEN Zhao, LIANG Jinghong, CHEN Yajun. Current status and correlates of screen time among children in Guangdong during the COVID-19 pandemic[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(8): 1148-1151, 1155. doi: 10.16835/j.cnki.1000-9817.2021.08.007

Citation:

ZHANG Shuxin, TAN Kaiyun, HUANG Sizhe, CHEN Zhao, LIANG Jinghong, CHEN Yajun. Current status and correlates of screen time among children in Guangdong during the COVID-19 pandemic[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(8): 1148-1151, 1155. doi: 10.16835/j.cnki.1000-9817.2021.08.007

PDF( 393 KB)

Current status and correlates of screen time among children in Guangdong during the COVID-19 pandemic

doi: 10.16835/j.cnki.1000-9817.2021.08.007

1.
Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou(510080), China

Received Date: 2020-11-18
Rev Recd Date: 2021-02-20

Available Online: 2021-08-20

Publish Date: 2021-08-25

Abstract

Abstract

Objective To investigate the current status of online classes, screen time and its influencing factors among primary school students in Guangdong during the 2019 novel coronavirus pandemic. Methods Using the convenience sampling method, a total of 5 266 pupils aged 6-12-years-old from Guangzhou, Zhanjiang, and Zhongshan participated in the online questionnaire. ANOVA or chi-square tests were performed to compare differences in online classes and screen time between grades, and multinomial Logistic regression was performed to analyze the correlates of recreational screen time. Results The prevalence of prolonged recreational screen time was 42.2% and 55.2% on weekdays and weekends, respectively. Recreational screen time increased by 40.31 min/d on weekdays and 33.07 min/d on weekends, compared to usual school semesters. The average duration of an online class was (26.07±9.62) min, which totaled (110.41±51.98)min per day. Sex, grade, being the only child, and parents' education levels were identified as the influencing factors of prolonged recreational screen time. Children who practiced moderate levels (weekdays: OR=1.27; weekends: OR=1.40; P < 0.05) or lower levels of physical activity (weekdays: OR=1.86; weekend: OR=1.84; P < 0.05) were at a higher risk of prolonged recreational screen time than those who practiced more vigorous physical activity. Children whose parents limited their screen time to a moderate (weekdays: OR=1.61, P < 0.05) or lower level (weekdays: OR=1.32, P < 0.05) had a higher risk of prolonged recreational screen time than those with a higher frequency. Children with parents' recreational screen time ≥2 h/d had a higher risk of prolonged recreational screen time than the reference group; children who exhibited moderate to vigorous levels of physical activity < 1 h/d (weekdays: OR=1.31, P < 0.05), and those used electronic devices for learning 1-2 h/d (weekdays: OR=2.65; weekend: OR=2.65; P < 0.05) or for ≥2 h/d (weekdays: OR=4.05, weekend: OR=5.24, P < 0.05) were at a higher risk of prolonged recreational screen time than the reference group. Conclusion During the COVID-19 pandemic, the level of screen time among children in Guangdong was high. Behavioral monitoring and targeted interventions are needed to promote children's health.
- Coronavirus,
- Fixation, ocular,
- Behavior,
- Regression analysis,
- Students

FullText(HTML)

References(20)

References

[1]	CUI Z, HARDY L L, DIBLEY M J, et al. Temporal trends and recent correlates in sedentary behaviours in Chinese children[J]. Int J Behav Nutr Phys Act, 2011, 8: 93. doi: 10.1186/1479-5868-8-93
[2]	Council on Communications and Media. Media use in school-aged chi-ldren and adolescents[J]. Pediatrics, 2016, 138(5): e20162592. doi: 10.1542/peds.2016-2592
[3]	LISSAK G. Adverse physiological and psychological effects of screen time on children and adolescents: literature review and case study[J]. Environl Res, 2018, 164: 149-157. doi: 10.1016/j.envres.2018.01.015
[4]	张云婷, 马生霞, 陈畅, 等. 中国儿童青少年身体活动指南[J]. 中国循证儿科杂志, 2017, 12(6): 401-409. doi: 10.3969/j.issn.1673-5501.2017.06.001 ZHANG Y T, MA S X, CHEN C, et al. Physical activity guidelines for Chinese children and adolescents[J]. Chin J Evidence-Based Pediatr, 2017, 12(6): 401-409. doi: 10.3969/j.issn.1673-5501.2017.06.001
[5]	中华人民共和国教育部. 利用网络平台, "停课不停学"[EB/OL]. [2020-01-29]. http://www.moe.gov.cn/jyb_xwfb/gzdt_gzdt/s5987/202001/t20200129_416993.html. Ministry of Education of the People's Republic of China. Use the network platform to "suspend classes without suspension"[EB/OL]. [2020-01-29]. http://www.moe.gov.cn/jyb_xwfb/gzdt_gzdt/s5987/202001/t20200129_416993.html.
[6]	中华人民共和国国家卫生健康委员会. 儿童青少年新冠肺炎疫情期间近视预防指引[EB/OL]. [2020-04-26]. http://www.gov.cn/fuwu/2020-04/26/content_5506329.htm. National Health Commission of the People's Republic of China. Guidelines for the prevention of myopia in children and adolescents during COVID-19 pandemic[EB/OL]. [2020-04-26]. http://www.gov.cn/fuwu/2020-04/26/content_5506329.htm.
[7]	中华人民共和国国家卫生健康委员会. 传染病疫情居家隔离期间儿童青少年近视防控指南[EB/OL]. [2020-07-28]. http://www.nhc.gov.cn/wjw/pqt/202008/8d379707d0ff4315912f0ac444c8b0bc.shtml. National Health Commission of the People's Republic of China. Guidelines for preventing and controlling myopia in children and adolescents during home quarantine of infectious disease epidemic[EB/OL]. [2020-07-28]. http://www.nhc.gov.cn/wjw/pqt/202008/8d379707d0ff4315912f0ac444c8b0bc.shtml.
[8]	JAGO R, STAMATAKIS E, GAMA A, et al. Parent and child screen-viewing time and home media environment[J]. Am J Prev Med, 2012, 43(2): 150-158. doi: 10.1016/j.amepre.2012.04.012
[9]	伍晓艳, 陶舒曼, 张诗晨, 等. 中国12省份中小学生视屏时间及其影响因素分析[J]. 中华预防医学杂志, 2016, 50(6): 508-513. doi: 10.3760/cma.j.issn.0253-9624.2016.06.007 WU X Y, TAO S M, ZHANG S C, et al. Analysis on risk factors of screen time among Chinese primary and middle school students in 12 provinces[J]. Chin J Prev Med, 2016, 50(6): 508-513. doi: 10.3760/cma.j.issn.0253-9624.2016.06.007
[10]	ZHU Z, TANG Y, ZHUANG J, et al. Physical activity, screen viewing time, and overweight/obesity among Chinese children and adolescents: an update from the 2017 physical activity and fitness in China-the youth study[J]. BMC Public Health, 2019, 19(1): 197. doi: 10.1186/s12889-019-6515-9
[11]	XIANG M, ZHANG Z, KUWAHARA K. Impact of COVID-19 pandemic on children and adolescents' lifestyle behavior larger than expected[J]. Prog Cardiovasc Dis, 2020, 63(4): 531-532. doi: 10.1016/j.pcad.2020.04.013
[12]	AMMAR A, BRACH M, TRABELSI K, et al. Effects of COVID-19 home confinement on eating behaviour and physical activity: results of the ECLB-COVID19 international online survey[J]. Nutrients, 2020, 12(6): 1583.
[13]	GÓRNICKA M, DRYWIEń M E, ZIELINSKA M A, et al. Dietary and lifestyle changes during COVID-19 and the subsequent lockdowns among Polish adults: a cross-sectional online survey PLifeCOVID-19 study[J]. Nutrients, 2020, 12(8): 2324. doi: 10.3390/nu12082324
[14]	MOORE S A, FAULKNER G, RHODES R E, et al. Impact of the COVID-19 virus outbreak on movement and play behaviours of Canadian children and youth: a national survey[J]. Int J Behav Nutr Phys Act, 2020, 17(1): 85. doi: 10.1186/s12966-020-00987-8
[15]	JOHNSON G, PUPLAMPU K. Internet use during childhood and the ecological techno-subsystem[J]. Can J Learn Technol, 2008, 34(1): 19-28. http://eric.ed.gov/?q=internet+AND+during&id=EJ1073829
[16]	JAGO R, THOMPSON J L, SEBIRE S J, et al. Cross-sectional associations between the screen-time of parents and young children: differences by parent and child gender and day of the week[J]. Int J Behav Nutr Phys Act, 2014, 11: 54. doi: 10.1186/1479-5868-11-54
[17]	安美静, 陈天娇, 马军. 父母因素对儿童青少年视屏时间的影响及其性别差异[J]. 中国学校卫生, 2019, 40(2): 202-205. doi: 10.16835/j.cnki.1000-9817.2019.02.012 AN M J, CHEN T J, MA J. Parental influences on screen time among children and adolescents and associated gender disparity[J]. Chin J Sch Health, 2019, 40(2): 202-205. doi: 10.16835/j.cnki.1000-9817.2019.02.012
[18]	TE VELDE S J, VAN DER HORST K, OENEMA A, et al. Parental and home influences on adolescents' TV viewing: a mediation analysis[J]. Int J Pediatr Obes, 2011, 6(2/2): e364-e372. http://www.ncbi.nlm.nih.gov/pubmed/20883101/
[19]	CARLSON S A, FULTON J E, LEE S M, et al. Influence of limit-setting and participation in physical activity on youth screen time[J]. Prediatrics, 2010, 126(1): e89-e96.
[20]	YE S, CHEN L, WANG Q, et al. Correlates of screen time among 8-19-year-old students in China[J]. BMC Public Health, 2018, 18(1): 467. doi: 10.1186/s12889-018-5355-3