Published: 2022-01-28

High screen time and associated factors among high-school students in an urban setting of Kerala: a cross sectional study

Anjana Nalina Kumari Kesavan Nair, Anjana Jayanthi Jayan, Mithra Mary Santhosh, Laviya Mariya Lalichen, Anand Santhosh, Pillaveetil Sathyadas Indu


Background: Screen time (ST) is the time spent in sedentary behaviors involving screen based media (SBM) like watching television, playing games, using computers and mobile phones. This situation is a matter of concern because excessive screen time is associated with the risk of excess weight gain, hypertension, metabolic syndrome, low cardiorespiratory fitness. In a study conducted in urban resettlement in New Delhi, 68% of adolescents engage in using SBM for more than 2 hours. This study aimed to estimate the prevalence of excess screen time and factors associated with it among school going adolescents in Kerala.

Methods: A cross sectional study was conducted among 130 students of age group 12-15 years studying in schools located in urban area of Thiruvananthapuram district from August 2019 to October 2019. Stratified sampling technique was used. A semi-structured self-administered questionnaire was used for data collection. Data was entered in MS Excel and was analyzed using appropriate statistical software.

Results: The proportion of students who had high screen time was 87.7%. Mobile phones were the most frequently used gadget. Male gender OR-8.3 (95% CI- 1.7-40.3), less duration of sleep OR-0.34 (95% CI- 0.15-3.12), and low socio-economic status OR-0.21 (95% CI- 0.21-0.96) were found to be associated with high screen time among high school students in Kerala.

Conclusions: The study observed that 87.7% of high school students engage in using Screen based media for more than 2 hours. In this study male gender and short sleep duration were found to be associated with excess screen time.


High screen time, Students, Kerala

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American Academy of Pediatrics: Children, adolescents, and television. Pediatrics. 2001;107(2). Available at: 8483/. Accessed on 6 October 2021.

Marketing of foods high in fat, salt and sugar to children: update. 2012–2013. 2012;4.

Australia’s children, Physical activity. Australian Institute of Health and Welfare. Available at: Accessed on 6 October 2021.

Dubey M, Nongkynrih B, Gupta SK, Kalaivani M, Goswami AK, Salve HR. Screen-based media use and screen time assessment among adolescents residing in an Urban Resettlement Colony in New Delhi, India. J Fam Med Prim Care. 2018;7(6).

Fronza FCAO, Minatto G, Martins CR, Petroski EL. Excessive TV Viewing Time and Associated Factors in Brazilian Adolescents from a Rural Area. Hum Mov. 2015;16(1):20-7.

Ae M, I J. Relationship between screen time and metabolic syndrome in adolescents. J Public Health Oxf Engl. 2008;30(2).

Silva KS, Bandeira A da S, Santos PC dos, Malheiros LEA, Sousa ACFC de, Filho BVC. Systematic review of childhood and adolescence sedentary behavior: analysis of the Report Card Brazil 2018. Rev Bras Cineantropometria Desempenho Hum. 2018;20:415-45.

Byrne R, Terranova CO, Trost SG. Measurement of screen time among young children aged 0–6 years: A systematic review. Obes Rev. 2021;22(8).

Eaton DK, Kann L, Kinchen S, Shanklin S, Ross J, Hawkins J, et al. Youth risk behavior surveillance - United States, 2009. MMWR Surveill Summ. 2010;59(5):1-142.

Rj H, Bj M, R P. Association between child and adolescent television viewing and adult health: a longitudinal birth cohort study. Lancet Lond Engl. 2004;364(9430).

Dg C, Sm DA, Ae M, Ra F, Jc FJ. Higher screen time is associated with overweight, poor dietary habits and physical inactivity in Brazilian adolescents, mainly among girls. Eur J Sport Sci. 2016;16(4).

Thomas N. Robinson JAB. Screen Media Exposure and Obesity in Children and Adolescents. Pediatrics. 2017;140(2):S97.

J X. Factors Affecting Adolescents’ Screen Viewing Duration: A Social Cognitive Approach Based on the Family Life, Activity, Sun, Health and Eating (FLASHE) Survey. J Health Commun. 2021;26(1).

Varadarajan S, Venguidesvarane AG, Ramaswamy KN, Rajamohan M, Krupa M, Christadoss SBW. Prevalence of excessive screen time and its association with developmental delay in children aged <5 years: A population-based cross-sectional study in India. Plos one. 2021;16(7):e0254102.

Boers E, Afzali MH, Newton N, Conrod P. Association of Screen Time and Depression in Adolescence. JAMA Pediat. 2019;173(9):853-9.

Wang W, Du X, Guo Y, Li W, Zhang S, Zhang W, et al. Associations Among Screen Time, Sleep Duration and Depressive Symptoms Among Chinese Adolescents. J Affect Disord. 2021;284:69-74.

Wang H, Zhong J, Hu R, Fiona B, Yu M, Du H. Prevalence of high screen time and associated factors among students: a cross-sectional study in Zhejiang, China. BMJ Open. 2018;8(6):e021493.

Khan A, Burton NW. Screen-Based Behaviors of Adolescents in Bangladesh. J Phys Act Health. 2016;13(11) 1156-63.

LeBlanc AG, Katzmarzyk PT, Barreira TV, Broyles ST, Chaput J-P, Church TS, et al. Correlates of Total Sedentary Time and Screen Time in 9-11 Year-Old Children around the World: The International Study of Childhood Obesity, Lifestyle and the Environment. PLoS ONE. 2015;10(6).

J S, Ms T, Sj M, C H. Health risks, correlates, and interventions to reduce sedentary behavior in young people. Am J Prev Med. 2011;41(2).

S P, J H, B S, O S, T T, Ih N. Time trends in sleep-onset difficulties among Norwegian adolescents: 1983--2005. Scand J Public Health. 2008;36(8).

Hysing M, Pallesen S, Stormark KM, Jakobsen R, Lundervold AJ, Sivertsen B. Sleep and use of electronic devices in adolescence: results from a large population-based study. BMJ Open. 2015;5(1):e006748.