Prevalence of Sedentary Behavior and Factors Associated with Screen Time among Thai Youths Aged 14–17 Years: A Cross-Sectional Population-Based Survey

Authors

  • Songdhasn Chinapong Division of Sports Science, Faculty of Science, Chandrakasem Rajabhat University, Chatuchak, Bangkok 10900, Thailand.
  • Areekul Amornsriwatanakul College of Sports Science and Technology, Mahidol University, Phuttamonthon, Nakhon Pathom 73170, Thailand.

DOI:

https://doi.org/10.31584/jhsmr.2023954

Keywords:

screen time activity, sedentary behavior, sitting down activity, Thailand, youth

Abstract

Objective: To investigate the prevalence of sedentary behavior (SB) and factors associating with meeting the screen time guidelines among the Thai youth using a nationwide population-based survey.
Material and Methods: Data from a national representative sample of 3,900 Thai youths aged 14–17 years old across the country were drawn from the Thailand Physical Activity Children Survey. SB was classified into screen time and sitting down activity. The youths were classified as meeting the screen time guidelines if they spent less than 120 min on screen time activities. A logistic regression analysis was conducted to examine the relationship between sociodemographic factors and meeting the screen time guidelines.
Results: Overall, 33.7% of Thai youths were highly sedentary; only 30.5% of them met the screen time guidelines. Regarding screen time activity, the participants spent the highest amount of time using online social media; meanwhile, doing homework was the sitting down activity taking the greatest proportion of their time. The youths who were older and engaged in more screen time activities were significantly more likely to meet the screen time guidelines. Moreover, those who resided in regions other than Bangkok and had longer sleep times were significantly more likely to meet the screen time guidelines.
Conclusion: The prevalence estimates of meeting the screen time guideline among the Thai youth were low. Age, geographical region of residence, number of engagements in screen time activities, and sleep time were associated with meeting the screen time guidelines. Our findings indicate that public health policies and interventions are needed to reduce SB among Thai youths; particular attention should be paid to the associating factors of SB.

References

World Health Organization. WHO guidelines on physical activity and sedentary behaviour. Geneva: WHO; 2020.

Tremblay MS, Aubert S, Barnes JD, Saunders TJ, Carson V, Latimer-Cheung AE, et al. Sedentary Behavior Research Network (SBRN) – terminology consensus project process and outcome. Int J Behav Nutr Phys Act 2017;14:75.

Romer D, Bagdasarov Z, More E. Older versus newer media and the well-being of United States youth: results from a national longitudinal panel. J Adolesc Health 2013; 52:613–9.

Carson V, Hunter S, Kuzik N, Gray CE, Poitras VJ, Chaput JP, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update. Appl Physiol Nutr Metab 2016;41:S240–65.

Park JH, Moon JH, Kim HJ, Kong MH, Oh YH. Sedentary lifestyle: overview of updated evidence of potential health risks. Korean J Fam Med 2020;41:365–73.

Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med 2020;54:1451–62.

Strong WB, Malina RM, Blimkie CJ, Daniels SR, Dishman RK, Gutin B, et al. Evidence based physical activity for school-age youth. J Pediatr 2005;146:732–7.

Tremblay MS, Leblanc AG, Janssen I, Kho ME, Hicks A, Murumets K, et al. Canadian sedentary behaviour guidelines for children and youth. Appl Physiol Nutr Metab 2011;36:59–71.

Bauman AE, Petersen CB, Blond K, Rangul V, Hardy LL. The descriptive epidemiology of sedentary behaviour. In: Leitzmann M, Jochem C, Schmid D, editors. Sedentary behaviour epidemiology. Springer Series on Epidemiology and Public Health. Cham: Springer International; 2018;p.73-106.

Liangruenrom N, Suttikasem K, Craike M, Bennie JA, Biddle SJH, Pedisic Z. Physical activity and sedentary behaviour research in Thailand: a systematic scoping review. BMC Public Health 2018;18:733.

Castro O, Bennie J, Vergeer I, Bosselut G, Biddle SJH. Correlates of sedentary behaviour in university students: a systematic review. Prev Med 2018;116:194–202.

Musaiger AO, Awadhalla MS, Al-Mannai M, AlSawad M, Asokan GV. Dietary habits and sedentary behaviors among health science university students in Bahrain. Int J Adolesc Med Health 2017;29. doi: 10.1515/ijamh-2015-0038.

Amornsriwatanakul A, Nakornkhet K, Katewongsa P, Choosakul C, Kaewmanee T, Konharn K, et al. Results from Thailand’s 2016 Report Card on physical activity for children and youth. J Phys Act Health 2016;13:S291–8.

Karawa J, Konharn K, Laoprasert S, Suksang S, Maneetam T. Validity and reliability of the physical activity questionnaire among Thai children and youth 2015 in aged 14-17 years. KKU Res J (Graduate Studies) 2017;17:19–36.

Cole TJ, Lobstein T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatric Obes 2012;7:284–94.

Kitayama A, Koohsari MJ, Ishii K, Shibata A, Oka K. Sedentary time in a nationally representative sample of adults in Japan: Prevalence and sociodemographic correlates. Prev Med Eep 2021;23:101439.

Ge Y, Xin S, Luan D, Zou Z, Liu M, Bai X, et al. Association of physical activity, sedentary time, and sleep duration on the health-related quality of life of college students in Northeast China. Health Qual Life Outcomes 2019;17:124.

Tanaka C, Tanaka S, Inoue S, Miyachi M, Suzuki K, Abe T, et al. Results from the Japan’s 2018 Report Card on physical activity for children and youth. J Exerc Sci Fit 2019;17:20–5.

Oh JW, Lee EY, Lim J, Lee SH, Jin YS, Song BK, et al. Results from South Korea’s 2018 Report Card on physical activity for children and youth. J Exerc Sci Fit 2019;17:26–33.

Leatherdale ST, Harvey A. Examining communication- and media-based recreational sedentary behaviors among Canadian youth: results from the COMPASS study. Prev Med 2015;74:74–80.

Statista. Number of social network users in Thailand from 2017 to 2020 with a forecast through 2026 [homepage on the Internet]. New York: Statista; 2021 [cited 2022 Dec 1]. Available from: https:// www.statista.com/statistics/489230/number-of-social network-users-in-thailand

Rideout V, Robb MB. Social media, social life: Teens reveal their experiences. San Francisco: Common Sense Media; 2018.

Chung AE, Skinner AC, Steiner MJ, Perrin EM. Physical activity and BMI in a nationally representative sample of children and adolescents. Clin Pediatr 2012;51:122–9.

Li M, Xue H, Wang W, Wang Y. Parental expectations and child screen and academic sedentary behaviors in China. Am J Prev Med 2017;52:680–9.

Workman J, Heyder A. Gender achievement gaps: the role of social costs to trying hard in high school. Soc Psychol Educ 2020;23:1407–27.

Wang CKJ, Koh KT, Biddle SJH, Liu WC, Chye SYL. Physical activity patterns and psychological correlates of physical activity among Singaporean primary, secondary, and junior college students. ICHPER-SD J Res 2011;6:3–9.

Ferreira RW, Rombaldi AJ, Ricardo LIC, Hallal PC, Azevedo MR. Prevalence of sedentary behavior and its correlates among primary and secondary school students. Rev Paul Pediatr (English Edition) 2016;34:56–63.

Sigmundová D, Sigmund E. Weekday-weekend sedentary behavior and recreational screen time patterns in families with preschoolers, schoolchildren, and adolescents: cross sectional three cohort study. Int J Environ Res Public Health 2021;18:4532.

Valtonen J, Kyhälä A, Reunamo J. Recreational screen time, sedentary behavior, and moderate to vigorous physical activity in 11-year-old children. J Phys Educ Sport 2021;21:1553–60.

Galloway M, Conner J, Pope D. Nonacademic effects of homework in privileged, high-performing high schools. J Exp Educ 2013;81:490–510.

O’Donoghue G, Perchoux C, Mensah K, Lakerveld J, van der Ploeg H, Bernaards C, et al. A systematic review of correlates of sedentary behaviour in adults aged 18–65 years: a socio-ecological approach. BMC Public Health 2016;16:163.

Liwander A, Pederson A, Boyle E. Why the Canadian sedentary behaviour guidelines should reflect sex and gender. Can J Public Health 2013;104:e479–81.

Arundell L, Fletcher E, Salmon J, Veitch J, Hinkley T. The correlates of after-school sedentary behavior among children aged 5-18 years: a systematic review. BMC Public Health 2016;16:58.

Bruner MW, Lawson J, Pickett W, Boyce W, Janssen I. Rural Canadian adolescents are more likely to be obese compared with urban adolescents. Int J Pediatr Obes 2008;3:205–11.

Wang Q, Ma J, Maehashi A, Kim H. The associations between outdoor playtime, screen-viewing time, and environmental factors in Chinese young children: the “Eat, Be Active and Sleep Well” study. Int J Environ Res Public Health 2020;17:4867.

Arora T, Broglia E, Thomas GN, Taheri S. Associations between specific technologies and adolescent sleep quantity, sleep quality, and parasomnias. Sleep Med 2014;15:240–7.

Xie YJ, Cheung DS, Loke AY, Nogueira BL, Liu KM, Leung AY, et al. Relationships between the usage of televisions, computers, and mobile phones and the quality of sleep in a Chinese population: community-based cross-sectional study. J Med Internet Res 2020;22:e18095.

Chastin S, Dontje ML, Skelton DA, Čukić I, Shaw RJ, Gill J, et al. Systematic comparative validation of self-report measures of sedentary time against an objective measure of postural sitting (activPAL). Int J Behav Nutr Phys Act 2018;15:21.

Barnett TA, Kelly AS, Young DR, Perry CK, Pratt CA, Edwards NM, et al. Sedentary behaviors in today’s youth: approaches to the prevention and management of childhood obesity: a scientific statement from the American Heart Association. Circulation 2018;138:e142–59.

Sigman A. Time for a view on screen time. Arch Dis Child 2012;97:935–42.

Downloads

Published

2023-07-27

How to Cite

1.
Chinapong S, Amornsriwatanakul A. Prevalence of Sedentary Behavior and Factors Associated with Screen Time among Thai Youths Aged 14–17 Years: A Cross-Sectional Population-Based Survey. J Health Sci Med Res [Internet]. 2023 Jul. 27 [cited 2024 Dec. 23];41(5):e2023954. Available from: https://he01.tci-thaijo.org/index.php/jhsmr/article/view/265051

Issue

Section

Original Article