RSS-Feed abonnieren
DOI: 10.1055/s-0042-1755598
Screen Time and Its Association with Body Adiposity and Hypertension among the School-Going Adolescents of Manipur, Northeast India
Funding This research was supported by University Grant Commission, India, under the Basic Research Scheme Start-Up grant (UGC-BSR Start-Up Grant) under reference No. F.30-34/2014(BSR).Abstract
Objectives The objective of the study was to examine the association of screen time with body adiposity and hypertension among the school-going adolescents of Manipur.
Methods Data were collected from 728 school-going adolescents of both sexes aged between 15 and 19 years. Anthropometric measurements, blood pressure, and self-response to screen time were collected. Chi-squared test and odds ratio were done to check the association between screen time and overweight/obesity and hypertension.
Results About 78.8% of males spent less than or equal to 6 hours at the screen, while 21.3% spent more than 6 hours at the screen. Eighty-six percent of females spent less than or equal to 6 hours at the screen, and 14% spent more than 6 hours at the screen. Chi-squared analysis shows a significant association between abdominal obesity (waist circumference, WC) and screen time in males (p < 0.05), while no association is observed in females. However, screen time shows no correlation with body mass index, weight-to-height ratio, and hypertension.
Conclusion This study highlights a high percentage of adolescents engaged in longer screen time, more than 6 hours. Furthermore, the study put forth the association of abdominal obesity as measured by WC with the screen time among the adolescents of Manipur. Longer screen time may deteriorate adolescents' health status as it reduces physical activity time.
Publikationsverlauf
Artikel online veröffentlicht:
10. Oktober 2022
© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
Thieme Medical and Scientific Publishers Pvt. Ltd.
A-12, 2nd Floor, Sector 2, Noida-201301 UP, India
-
References
- 1 Epstein LH, Roemmich JN, Robinson JL. et al. A randomized trial of the effects of reducing television viewing and computer use on body mass index in young children. Arch Pediatr Adolesc Med 2008; 162 (03) 239-245
- 2 Galagali PM, Pemde HK, Gupta P. et al. Screen time guidelines for parents. Iapindia.org. Accessed July 30, 2022, at: https://iapindia.org/pdf/Screentime-Guidelines-for-Parents-Ch-005.pdf
- 3 Shang L, Wang J, O'Loughlin J. et al. Screen time is associated with dietary intake in overweight Canadian children. Prev Med Rep 2015; 2: 265-269
- 4 Sigmund E, Sigmundová D, Badura P, Kalman M, Hamrik Z, Pavelka J. Temporal trends in overweight and obesity, physical activity and screen time among Czech adolescents from 2002 to 2014: a national health behaviour in school-aged children study. Int J Environ Res Public Health 2015; 12 (09) 11848-11868
- 5 Who.int. . Accessed July 30, 2022, at: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight
- 6 Ebbeling CB, Pawlak DB, Ludwig DS. Childhood obesity: public-health crisis, common sense cure. Lancet 2002; 360 (9331): 473-482
- 7 Fang K, Mu M, Liu K, He Y. Screen time and childhood overweight/obesity: a systematic review and meta-analysis. Child Care Health Dev 2019; 45 (05) 744-753
- 8 Biddle SJH, García Bengoechea E, Wiesner G. Sedentary behaviour and adiposity in youth: a systematic review of reviews and analysis of causality. Int J Behav Nutr Phys Act 2017; 14 (01) 43 DOI: 10.1186/s12966-017-0497-8.
- 9 Martinez-Gómez D, Gomez-Martinez S, Ruiz JR, Ortega FB, Marcos A, Veiga OL. Video game playing time and cardiometabolic risk in adolescents: the AFINOS study. Med Clin (Barc) 2012; 139 (07) 290-292
- 10 Barlow SE. Expert Committee. Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. Pediatrics 2007; 120 (Suppl. 04) S164-S192
- 11 Xi B, Zong X, Kelishadi R. et al. International waist circumference percentile cut-offs for central obesity in children and adolescents aged 6 to 18 years. J Clin Endocrinol Metab 2020; 105 (04) E1569-E1583
- 12 McCarthy HD, Ashwell M. A study of central fatness using waist-to-height ratios in UK children and adolescents over two decades supports the simple message–'keep your waist circumference to less than half your height'. Int J Obes 2006; 30 (06) 988-992
- 13 Flynn JT, Kaelber DC, Baker-Smith CM. et al; SUBCOMMITTEE ON SCREENING AND MANAGEMENT OF HIGH BLOOD PRESSURE IN CHILDREN. Clinical practice guideline for screening and management of high blood pressure in children and adolescents. Pediatrics 2017; 140 (03) e20171904
- 14 Dunham J. 6 hours of screen time a day for teens may not be so bad, research suggests. CTV News. Published February 13, 2017. Accessed July 30, 2022, at: https://www.ctvnews.ca/lifestyle/6-hours-of-screen-time-a-day-for-teens-may-not-be-so-bad-research-suggests-1.3283281
- 15 PsychNewsDaily Staff. Our average screen time is now a whopping 4 - 6 hours per day (or 3 months per year). PsychNewsDaily. Published October 26, 2020. Accessed July 30, 2022, at: https://www.psychnewsdaily.com/average-screen-time-now-6-hours-per-day/
- 16 Active Health. . How much screen time is healthy for adults? Activehealth.sg. Accessed July 30, 2022, at: https://www.activehealth.sg/read/screen-time/how-much-screen-time-is-healthy-for-adults
- 17 Madhav KC, Sherchand SP, Sherchan S. Association between screen time and depression among US adults. Prev Med Rep 2017; 8: 67-71
- 18 Infographics - screen time vs. Lean time. Cdc.gov. Published January 23, 2019. Accessed July 30, 2022, at: https://www.cdc.gov/nccdphp/dnpao/multimedia/infographics/getmoving.html
- 19 Fletcher EA, McNaughton SA, Crawford D. et al. Associations between sedentary behaviours and dietary intakes among adolescents. Public Health Nutr 2018; 21 (06) 1115-1122
- 20 Pearson N, Griffiths P, Biddle SJ, Johnston JP, McGeorge S, Haycraft E. Clustering and correlates of screen-time and eating behaviours among young adolescents. BMC Public Health 2017; 17 (01) 533 DOI: 10.1186/s12889-017-4441-2.
- 21 Xu F, Adams SK, Cohen SA, Earp JE, Greaney ML. Relationship between physical activity, screen time, and sleep quantity and quality in US adolescents aged 16–19. Int J Environ Res Public Health 2019; 16 (09) E1524 DOI: 10.3390/ijerph16091524.
- 22 Savva SC, Tornaritis M, Savva ME. et al. Waist circumference and waist-to-height ratio are better predictors of cardiovascular disease risk factors in children than body mass index. Int J Obes Relat Metab Disord 2000; 24 (11) 1453-1458
- 23 Saunders TJ, Chaput JP, Tremblay MS. Sedentary behaviour as an emerging risk factor for cardiometabolic diseases in children and youth. Can J Diabetes 2014; 38 (01) 53-61
- 24 Varadarajan S, Govindarajan Venguidesvarane A, Ramaswamy KN, Rajamohan M, Krupa M, Winfred Christadoss SB. 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 (07) e0254102 DOI: 10.1371/journal.pone.0254102.
- 25 Pankaj Doval / TNN / Updated. . Jul 14 2021. Indians suffered max damage to eyesight - times of India. The Times of India. Accessed July 30, 2022, at: https://timesofindia.indiatimes.com/business/india-business/screen-stuck-indians-had-max-vision-damage/articleshow/83592408.cms?utm_source=contentofinterest&utm_medium=text&utm_campaign=cppst
- 26 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 Family Med Prim Care 2018; 7 (06) 1236-1242
- 27 Shwetha G, Doddaiah SK, Bilimale AS, Murthy MR. Assessing the usage of screen based media and screen time among adolescents in Mysuru: a cross-sectional study. Int J Community Med Public Health 2020; 7 (06) 2233 DOI: 10.18203/2394-6040.ijcmph20202477.
- 28 Strasburger VC, Hogan MJ. COUNCIL ON COMMUNICATIONS AND MEDIA. Children, adolescents, and the media. Pediatrics 2013; 132 (05) 958-961
- 29 Heelan KA, Eisenmann JC. Physical activity, media time, and body composition in young children. J Phys Act Health 2006; 3 (02) 200-209
- 30 Proctor MH, Moore LL, Gao D. et al. Television viewing and change in body fat from preschool to early adolescence: The Framingham Children's Study. Int J Obes Relat Metab Disord 2003; 27 (07) 827-833
- 31 Meitei SY, Pao PSV, Devi TC, Sharma BS, Konjengbam H. Body adiposity measures and risk of adolescent hypertension among the postpubescents Northeast India. Am J Hum Biol 2022; 34 (04) e23675 DOI: 10.1002/ajhb.23675.
- 32 Sorof J, Daniels S. Obesity hypertension in children: a problem of epidemic proportions. Hypertension 2002; 40 (04) 441-447
- 33 Guillaume M, Lapidus L, Björntorp P, Lambert A. Physical activity, obesity, and cardiovascular risk factors in children. The Belgian Luxembourg Child Study II. Obes Res 1997; 5 (06) 549-556
- 34 Ekelund U, Brage S, Froberg K. et al. TV viewing and physical activity are independently associated with metabolic risk in children: the European Youth Heart Study. PLoS Med 2006; 3 (12) e488 DOI: 10.1371/journal.pmed.0030488.
- 35 Wells JCK, Hallal PC, Reichert FF, Menezes AMB, Araújo CLP, Victora CG. Sleep patterns and television viewing in relation to obesity and blood pressure: evidence from an adolescent Brazilian birth cohort. Int J Obes 2008; 32 (07) 1042-1049
- 36 Hancox RJ, Milne BJ, Poulton R. Association between child and adolescent television viewing and adult health: a longitudinal birth cohort study. Lancet 2004; 364 (9430): 257-262
- 37 Pardee PE, Norman GJ, Lustig RH, Preud'homme D, Schwimmer JB. Television viewing and hypertension in obese children. Am J Prev Med 2007; 33 (06) 439-443