Abstract
Objectives
A sedentary lifestyle is increasingly implicated in a negative metabolic health profile among youth. The present study examined relationships between clustered metabolic risk factors and TV viewing in female adolescents.
Methods
The sample comprised 262 girls 14–17 years. Height, weight, fasting glucose, insulin, HDL cholesterol, triglycerides, and blood pressure were measured. Body mass index (BMI) was calculated. TV viewing time and moderate-to-vigorous physical activity (MVPA) were estimated from a 3-day diary. Outcome variables were normalized and expressed as Z scores which were summed into a metabolic risk score. Multiple linear regression analysis was used.
Results
TV viewing was independently associated with increased prevalence of clustered metabolic risk in girls after adjustment for several confounders (i.e., chronological age, BMI, MVPA, and parental education). The final model also indicated that lower levels of MVPA, higher BMI, and lower mother education were associated with higher metabolic risk.
Conclusions
Increased TV viewing had an adverse effect on metabolic health of adolescent girls. The findings highlight the potential importance of preventive actions to ameliorate metabolic risk in youth which target both sedentary and physically active behaviors.
Similar content being viewed by others
References
Abrantes MM, Lamounier JA, Colosimo EA (2002) Overweight and obesity prevalence among children and adolescents from Northeast and Southeast regions of Brazil. J Pediatr (Rio J) 78(4):335–340
American Academy of Pediatrics (2001) Children, adolescents, and television. Pediatrics 107(2):423–426
Andersen LB, Harro M, Sardinha LB, Froberg K, Ekelund U, Brage S, Anderssen SA (2006) Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study). Lancet 368(9532):299–304. doi:10.1016/S0140-6736(06)69075-2
Biddle SJ, Gorely T, Marshall SJ (2009) Is television viewing a suitable marker of sedentary behavior in young people? Ann Behav Med 38(2):147–153. doi:10.1007/s12160-009-9136-1
Boone JE, Gordon-Larsen P, Adair LS, Popkin BM (2007) Screen time and physical activity during adolescence: longitudinal effects on obesity in young adulthood. Int J Behav Nutr Phys Act 4:26. doi:10.1186/1479-5868-4-26
Bouchard C, Tremblay A, Leblanc C, Lortie G, Savard R, Theriault G (1983) A method to assess energy expenditure in children and adults. Am J Clin Nutr 37(3):461–467
Brage S, Wedderkopp N, Ekelund U, Franks PW, Wareham NJ, Andersen LB, Froberg K, European Youth Heart Study (EYHS) (2004) Features of the metabolic syndrome are associated with objectively measured physical activity and fitness in Danish children: the European Youth Heart Study (EYHS). Diabetes Care 27(9):2141–2148
Cavali ME, Brasileiro R, Taddei J (2010) Síndrome metabólica: comparação de critérios diagnósticos. Jornal de Pediatria 86(4):325–330
Desai S, Alva S (1998) Maternal education and child health: is there a strong causal relationship? Demography 35(1):71–81
Eisenmann JC (2008) On the use of a continuous metabolic syndrome score in pediatric research. Cardiovasc Diabetol 7:17. doi:10.1186/1475-2840-7-17
Eisenmann JC, Laurson KR, DuBose KD, Smith BK, Donnelly JE (2010) Construct validity of a continuous metabolic syndrome score in children. Diabetol Metab Syndr 2:8. doi:10.1186/1758-5996-2-8
Ekelund U, Brage S, Froberg K, Harro M, Anderssen SA, Sardinha LB, Riddoch C, Andersen LB (2006) TV viewing and physical activity are independently associated with metabolic risk in children: the European Youth Heart Study. PLoS Med 3(12):e488. doi:10.1371/journal.pmed.0030488
Ekelund U, Anderssen S, Andersen LB, Riddoch CJ, Sardinha LB, Luan J, Froberg K, Brage S (2009) Prevalence and correlates of the metabolic syndrome in a population-based sample of European youth. Am J Clin Nutr 89(1):90–96. doi:10.3945/ajcn.2008.26649
Gupta N, Shah P, Nayyar S, Misra A (2013) Childhood obesity and the metabolic syndrome in developing countries. Indian J Pediatr 80(Suppl 1):S28–S37. doi:10.1007/s12098-012-0923-5
Hsu YW, Belcher BR, Ventura EE, Byrd-Williams CE, Weigensberg MJ, Davis JN, McClain AD, Goran MI, Spruijt-Metz D (2011) Physical activity, sedentary behavior, and the metabolic syndrome in minority youth. Med Sci Sports Exerc 43(12):2307–2313. doi:10.1249/MSS.0b013e318222020f
Huang YC, Malina RM (2002) Physical activity and health-related physical fitness in Taiwanese adolescents. J Physiol Anthropol Appl Human Sci 21(1):11–19
Hume C, van der Horst K, Brug J, Salmon J, Oenema A (2010) Understanding the correlates of adolescents’ TV viewing: a social ecological approach. Int J Pediatr Obes 5(2):161–168. doi:10.3109/17477160903242550
Iannotti RJ, Janssen I, Haug E, Kololo H, Annaheim B, Borraccino A, H.P.A.F. Group (2009) Interrelationships of adolescent physical activity, screen-based sedentary behaviour, and social and psychological health. Int J Public Health 54(Suppl 2):191–198. doi:10.1007/s00038-009-5410-z
Katzmarzyk PT, Malina RM, Song TM, Bouchard C (1998) Physical activity and health-related fitness in youth: a multivariate analysis. Med Sci Sports Exerc 30(5):709–714
Katzmarzyk PT, Shen W, Baxter-Jones A, Bell JD, Butte NF, Demerath EW, Gilsanz V, Goran MI, Hirschler V, Hu HH, Maffeis C, Malina RM, Muller MJ, Pietrobelli A, Wells JC (2012) Adiposity in children and adolescents: correlates and clinical consequences of fat stored in specific body depots. Pediatr Obes 7(5):e42–e61. doi:10.1111/j.2047-6310.2012.00073.x
Leech RM, McNaughton SA, Timperio A (2014) The clustering of diet, physical activity and sedentary behavior in children and adolescents: a review. Int J Behav Nutr Phys Act 11:4. doi:10.1186/1479-5868-11-4
Lobstein T (2010) Global prevalence of childhood obesity physical activity and obesity. Human Kinetics, Champaign, pp 57–60
Ma GS, Li YP, Hu XQ, Ma WJ, Wu J (2002) Effect of television viewing on pediatric obesity. Biomed Environ Sci 15(4):291–297
Machado-Rodrigues AM, Coelho ESMJ, Mota J, Cyrino E, Cumming SP, Riddoch C, Beunen G, Malina RM (2011) Agreement in activity energy expenditure assessed by accelerometer and self-report in adolescents: variation by sex, age, and weight status. J Sports Sci 29(14):1503–1514. doi:10.1080/02640414.2011.593185
Machado-Rodrigues AM, Coelho e Silva MJ, Mota J, Santos RM, Cumming SP, Malina RM (2012a) Physical activity and energy expenditure in adolescent male sport participants and nonparticipants aged 13–16 years. J Phys Act Health 9(5):626–633
Machado-Rodrigues AM, Figueiredo AJ, Mota J, Cumming SP, Eisenmann JC, Malina RM, Coelho ESMJ (2012b) Concurrent validation of estimated activity energy expenditure using a 3-day diary and accelerometry in adolescents. Scand J Med Sci Sports 22(2):259–264. doi:10.1111/j.1600-0838.2010.01155.x
Machado-Rodrigues AM, Leite N, Coelho-e-Silva MJ, Martins RA, Valente-dos-Santos J, Mascarenhas LP, Boguszewski MC, Padez C, Malina RM (2014a) Independent association of clustered metabolic risk factors with cardiorespiratory fitness in youth aged 11–17 years. Ann Hum Biol 41(3):271–276. doi:10.3109/03014460.2013.856471
Machado-Rodrigues AM, Leite N, Coelho ESMJ, Valente-Dos-Santos J, Martins RA, Mascarenhas LP, Boguszewski MC, Padez C, Malina RM (2014b) Relationship between metabolic syndrome and moderate-to-vigorous physical activity in youth. J Phys Act Health. doi:10.1123/jpah.2013-0053
Malina RM (2013) Youth, sport, and physical activity. In: Coelho-e-Silva MJ, Cupido-dos-Santos A, Figueiredo AJ, Pereira JP, Armstrong N (eds) Children and exercise XXVIII. Routledge, Great Britain, pp 5–30
Malina RM, Bouchard C, Bar-Or O (2004) Growth, maturation, and physical activity, 2nd edn. Human Kinetics, Champaign, IL
Mark AE, Janssen I (2008) Relationship between screen time and metabolic syndrome in adolescents. J Public Health (Oxf) 30(2):153–160. doi:10.1093/pubmed/fdn022
Marshall SJ, Gorely T, Biddle SJ (2006) A descriptive epidemiology of screen-based media use in youth: a review and critique. J Adolesc 29(3):333–349. doi:10.1016/j.adolescence.2005.08.016
Mota J, Ribeiro JC, Santos MP (2009) Obese girls differences in neighbourhood perceptions, screen time and socioeconomic status according to level of physical activity. Health Educ Res 24(1):98–104. doi:10.1093/her/cyn001
Mueller WH, Martorell R (1988) Reliability and accuracy of measurement. In: Martorell R (ed) Lohman TG, AFR. Anthropometric standardization reference manual. Human Kinetics, Champaign, pp 83–86
National High Blood Pressure Education Program (2004) The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Pediatrics 114(2 Suppl 4th Report):555–576
Olds TS, Maher CA, Ridley K, Kittel DM (2010) Descriptive epidemiology of screen and non-screen sedentary time in adolescents: a cross sectional study. Int J Behav Nutr Phys Act 7:92. doi:10.1186/1479-5868-7-92
Pitel L, Madarasova Geckova A, Reijneveld SA, van Dijk JP (2013) Socioeconomic gradient shifts in health-related behaviour among Slovak adolescents between 1998 and 2006. Int J Public Health 58(2):171–176. doi:10.1007/s00038-012-0382-9
Prado CV, Lima AV, Fermino RC, Anez CR, Reis RS (2014) Social support and physical activity in adolescents from public schools: the importance of family and friends. Cad Saude Publica 30(4):827–838
Ramirez ER, Norman GJ, Rosenberg DE, Kerr J, Saelens BE, Durant N, Sallis JF (2011) Adolescent screen time and rules to limit screen time in the home. J Adolesc Health 48(4):379–385. doi:10.1016/j.jadohealth.2010.07.013
Rey-Lopez JP, Vicente-Rodriguez G, Biosca M, Moreno LA (2008) Sedentary behaviour and obesity development in children and adolescents. Nutr Metab Cardiovasc Dis 18(3):242–251. doi:10.1016/j.numecd.2007.07.008
Rideout VJ, Foehr UG, Roberts DF (2010) Generation M2: media in the lives of 8-to-18 years olds. Henry J Kaiser Family Foundation, Menlo Park
Rodrigues AN, Perez AJ, Pires JG, Carletti L, Araújo MT, Moyses MR, Bissoli NS, Abreu GR (2009) Cardiovascular risk factors, their associations and presence of metabolic syndrome in adolescents. Jornal de Pediatria 85:55–60
Ruiz JR, Ortega FB, Martinez-Gomez D, Labayen I, Moreno LA, De Bourdeaudhuij I, Manios Y, Gonzalez-Gross M, Mauro B, Molnar D, Widhalm K, Marcos A, Beghin L, Castillo MJ, Sjostrom M, H.S. Group (2011) Objectively measured physical activity and sedentary time in European adolescents: the HELENA study. Am J Epidemiol 174(2):173–184. doi:10.1093/aje/kwr068
Scuteri A, Vuga M, Najjar SS, Mehta V, Everson-Rose SA, Sutton-Tyrrell K, Matthews K, Lakatta EG (2008) Education eclipses ethnicity in predicting the development of the metabolic syndrome in different ethnic groups in midlife: the Study of Women’s Health Across the Nation (SWAN). Diabet Med 25(12):1390–1399. doi:10.1111/j.1464-5491.2008.02596.x
Silva KS, da Silva Lopes A, Dumith SC, Garcia LM, Bezerra J, Nahas MV (2014) Changes in television viewing and computers/videogames use among high school students in Southern Brazil between 2001 and 2011. Int J Public Health 59(1):77–86. doi:10.1007/s00038-013-0464-3
Staiano AE, Harrington DM, Broyles ST, Gupta AK, Katzmarzyk PT (2013) Television, adiposity, and cardiometabolic risk in children and adolescents. Am J Prev Med 44(1):40–47. doi:10.1016/j.amepre.2012.09.049
Tremblay MS, Colley RC, Saunders TJ, Healy GN, Owen N (2010a) Physiological and health implications of a sedentary lifestyle. Appl Physiol Nutr Metab 35(6):725–740. doi:10.1139/H10-079
Tremblay MS, Colley RC, Saunders TJ, Healy GN, Owen N (2010b) Physiological and health implications of a sedentary lifestyle. Appl Physiol Nutr Metab Physiologie appliquee, nutrition et metabolisme 35(6):725–740. doi:10.1139/H10-079
Tremblay MS, LeBlanc AG, Kho ME, Saunders TJ, Larouche R, Colley RC, Goldfield G, Connor Gorber S (2011) Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int J Behav Nutr Phys Act 8:98. doi:10.1186/1479-5868-8-98
Vernay M, Salanave B, de Peretti C, Druet C, Malon A, Deschamps V, Hercberg S, Castetbon K (2013) Metabolic syndrome and socioeconomic status in France: The French Nutrition and Health Survey (ENNS, 2006–2007). Int J Public Health 58(6):855–864. doi:10.1007/s00038-013-0501-2
WHO (2005) The European health report 2005: public health action for healthier children and populations, summary. World Health Organization, Copenhagen, p 12
Acknowledgments
The authors acknowledge the support provided by the CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior)—“Impacto do peso ao nascimento e do estilo de vida sobre fatores de risco metabólico, hiperandrogenismo e anovulação em meninas e adolescentes” Project.
Conflict of interest
The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.
Author information
Authors and Affiliations
Corresponding author
Additional information
This article is part of the special issue “Communication Technology, Media Use and the Health of Our Kids”.
Rights and permissions
About this article
Cite this article
Machado-Rodrigues, A.M., Leite, N., Coelho-e-Silva, M.J. et al. Metabolic risk and television time in adolescent females. Int J Public Health 60, 157–165 (2015). https://doi.org/10.1007/s00038-014-0625-z
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00038-014-0625-z