The Role of Genetic, Dietary and Lifestyle Factors in Pediatric Metabolic Syndrome: A Review of the Literature from Prenatal to Adolescence

Abstract

The metabolic syndrome (MetS) is described as a cluster of health conditions that are associated with an increased risk of cardiovascular disease. The clinical diagnosis of MetS in pediatrics is challenging due to differing criteria, although the estimated prevalence continues to rise. The increased prevalence of childhood obesity and insulin resistance, in both developed and developing countries, is believed to be a major contributor to MetS diagnosis in children. We review the current literature surrounding genetic predisposition, maternal influence, epigenetics, environmental and lifestyle factors pertaining to pediatric MetS with a specific emphasis on obesity and insulin resistance. We highlight and discuss recent, key studies in prenatal through to adolescent populations and review evidence suggesting that children may be pre-disposed to obesity and insulin resistance, prenatally. We also discuss several key lifestyle drivers of these conditions including poor nutrition and dietary habits, insufficient physical activity, use of electronic devices, over-consumption of caffeinated and/or sugar-sweetened beverages, as well as the importance of sleep during childhood and adolescence in relation to metabolic health. We conclude with recommendations for preventable methods to tackle this growing pediatric public health issue, which, if current trends continue, will undoubtedly compromise the health and longevity of the next adult generation. 

References
[1] Alberti G, Zimmet P, Shaw J, Bloomgarden Z, Kaufman F, Silink M, et al. Type 2 diabetes in the young: the evolving epidemic: the international diabetes federation consensus workshop. Diabetes Care. 2004;27 (7):1798-811.

[2] Alegria-Torres JA, Garcia-Dominguez ML, Cruz M, Aradillas-Garcia C. Q192R polymorphism of paraoxonase 1 gene associated with insulin resistance in Mexican children. Arch Med Res. 2015;46 (1):78-83.

[3] Androutsos O, Moschonis G, Mavrogianni C, Roma-Giannikou E, Chrousos GP, Kanaka-Gantenbein C, et al. Identification of lifestyle patterns, including sleep deprivation, associated with insulin resistance in children: the Healthy Growth Study. Eur J Clin Nutr. 2014;68 (3):344-9.

[4] Aris IM, Soh SE, Tint MT, Saw SM, Rajadurai VS, Godfrey KM, et al. Associations of gestational glycemia and prepregnancy adiposity with offspring growth and adiposity in an Asian population. Am J Clin Nutr. 2015;102 (5):1104-12.

[5] Arora T, Broglia E, Thomas GN, Taheri S. Associations between specific technologies and adolescent sleep quantity, sleep quality, and parasomnias. Sleep Med. 2014;15 (2):240-7.

[6] Arora T, Hosseini-Araghi M, Bishop J, Yao GL, Thomas GN, Taheri S. The complexity of obesity in U.K. adolescents: relationships with quantity and type of technology, sleep duration and quality, academic performance and aspiration. Pediatr Obes. 2013;8 (5):358-66.

[7] Arora T, Hussain S, Hubert Lam KB, Lily Yao G, Neil Thomas G, Taheri S. Exploring the complex pathways among specific types of technology, self-reported sleep duration and body mass index in UK adolescents. Int J Obes (Lond). 2013;37 (9):1254- 60.

[8] Arora T, Taheri S. Associations among late chronotype, body mass index and dietary behaviors in young adolescents. Int J Obes (Lond). 2015;39 (1):39-44.

[9] Arora T, Taheri S. Sleep Optimization and Diabetes Control: A Review of the Literature. Diabetes Ther. 2015;6 (4):425-68.

[10] Arora T. Sleep Doesn’t Waste Time, It’s Good for the Waist Line. Sleep. 2015;38 (8):1159-60.

[11] Belloc NB, Breslow L. Relationship of physical health status and health practices. Prev Med. 1972;1 (3):409-21.

[12] Boniel-Nissim M, Lenzi M, Zsiros E, de Matos MG, Gommans R, Harel-Fisch Y, et al. International trends in electronic media communication among 11- to 15-year-olds in 30 countries from 2002 to 2010: association with ease of communication with friends of the opposite sex. Eur J Public Health. 2015;25 Suppl 2:41-5.

[13] Burrows R, Correa-Burrows P, Reyes M, Blanco E, Albala C, Gahagan S. High cardiometabolic risk in healthy Chilean adolescents: associations with anthropometric, biological and lifestyle factors. Public Health Nutr. 2016;19 (3):486-93.

[14] Buscemi S, Nicolucci A, Mattina A, Rosafio G, Massenti FM, Lucisano G, et al. Association of dietary patterns with insulin resistance and clinically silent carotid atherosclerosis in apparently healthy people. Eur J Clin Nutr. 2013;67 (12):1284-90.

[15] Calamaro CJ, Yang K, Ratcliffe S, Chasens ER. Wired at a young age: the effect of caffeine and technology on sleep duration and body mass index in school-aged children. J Pediatr Health Care. 2012;26 (4):276-82.

[16] Centers for Disease C, Prevention. Beverage consumption among high school students — United States, 2010. MMWR Morb Mortal Wkly Rep. 2011;60 (23):778- 80.

[17] Chan She Ping-Delfos WL, Beilin LJ, Oddy WH, Burrows S, Mori TA. Use of the Dietary Guideline Index to assess cardiometabolic risk in adolescents. Br J Nutr. 2015;113 (11):1741-52.

[18] Chen YL, Gau SS. Sleep problems and internet addiction among children and adolescents: a longitudinal study. J Sleep Res. 2016;25 (4):458-65.

[19] Christison A, Khan HA. Exergaming for health: a community-based pediatric weight management program using active video gaming. Clin Pediatr (Phila). 2012;51 (4):382-8.

[20] Christofaro DG, De Andrade SM, Mesas AE, Fernandes RA, Farias Junior JC. 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):498-506.

[21] Cornier MA, Dabelea D, Hernandez TL, Lindstrom RC, Steig AJ, Stob NR, et al. The metabolic syndrome. Endocr Rev. 2008;29 (7):777-822.

[22] De Decker E, De Craemer M, De Bourdeaudhuij I, Wijndaele K, Duvinage K, Androutsos O, et al. Influencing factors of sedentary behavior in European preschool settings: an exploration through focus groups with teachers. J Sch Health. 2013;83 (9):654-61.

[23] Demissie Z, Lowry R, Eaton DK, Park S, Kann L. Electronic media and beverage intake among United States high school students–2010. J Nutr Educ Behav. 2013;45 (6):756- 60.

[24] Dillard BE, 3rd, Gorodner V, Galvani C, Holterman M, Browne A, Gallo A, et al. Initial experience with the adjustable gastric band in morbidly obese US adolescents and recommendations for further investigation. J Pediatr Gastroenterol Nutr. 2007;45 (2):240-6.

[25] Fadzlina AA, Harun F, Nurul Haniza MY, Al Sadat N, Murray L, Cantwell MM, et al. Metabolic syndrome among 13 year old adolescents: prevalence and risk factors. BMC Public Health. 2014;14 Suppl 3:S7.

[26] Faienza MF, Wang DQ, Fruhbeck G, Garruti G, Portincasa P. The dangerous link between childhood and adulthood predictors of obesity and metabolic syndrome. Intern Emerg Med. 2016;11 (2):175-82.

[27] Falbe J, Willett WC, Rosner B, Gortmaker SL, Sonneville KR, Field AE. Longitudinal relations of television, electronic games, and digital versatile discs with changes in diet in adolescents. Am J Clin Nutr. 2014;100 (4):1173-81.

[28] Flint J, Kothare SV, Zihlif M, Suarez E, Adams R, Legido A, et al. Association between inadequate sleep and insulin resistance in obese children. J Pediatr. 2007;150 (4):364-9.

[29] Freedman DS, Mei Z, Srinivasan SR, Berenson GS, Dietz WH. Cardiovascular risk factors and excess adiposity among overweight children and adolescents: the Bogalusa Heart Study. J Pediatr. 2007;150 (1):12-7 e2.

[30] Giapros VI, Challa AS, Cholevas VI, Evagelidou EN, Bairaktari ET, Andronikou SK. Vitamin D, parathormone, and insulin resistance in children born large for gestational age. J Pediatr Endocrinol Metab. 2014;27 (11-12):1145-50.

[31] Giese H, Konig LM, Taut D, Ollila H, Baban A, Absetz P, et al. Exploring the association between television advertising of healthy and unhealthy foods, self-control, and food intake in three European countries. Appl Psychol Health Well Being. 2015;7 (1):41-62.

[32] Goff DC, Jr., Lloyd-Jones DM, Bennett G, Coady S, D’Agostino RB, Sr., Gibbons R, et al. 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2014;63 (25 Pt B):2935-59.

[33] Grigorakis DA, Georgoulis M, Psarra G, Tambalis KD, Panagiotakos DB, Sidossis LS. Prevalence and lifestyle determinants of central obesity in children. Eur J Nutr. 2016;55 (5):1923-31.

[34] Grosso G, Marventano S, Galvano F, Pajak A, Mistretta A. Factors associated with metabolic syndrome in a mediterranean population: role of caffeinated beverages. J Epidemiol. 2014;24 (4):327-33.

[35] Grosso G, Pajak A, Mistretta A, Marventano S, Raciti T, Buscemi S, et al. Protective role of the Mediterranean diet on several cardiovascular risk factors: evidence from Sicily, southern Italy. Nutr Metab Cardiovasc Dis. 2014;24 (4):370-7.

[36] Han JC, Lawlor DA, Kimm SY. Childhood obesity. Lancet. 2010;375 (9727):1737-48.

[37] Hardy LL, Bass SL, Booth ML. Changes in sedentary behavior among adolescent girls: a 2.5-year prospective cohort study. J Adolesc Health. 2007;40 (2):158-65.

[38] Hart CN, Carskadon MA, Considine RV, Fava JL, Lawton J, Raynor HA, et al. Changes in children’s sleep duration on food intake, weight, and leptin. Pediatrics. 2013;132 (6):e1473-80.

[39] Henderson M, Benedetti A, Barnett TA, Mathieu ME, Deladoey J, Gray-Donald K. Influence of Adiposity, Physical Activity, Fitness, and Screen Time on Insulin Dynamics Over 2 Years in Children. JAMA Pediatr. 2016;170 (3):227-35.

[40] Hitze B, Bosy-Westphal A, Bielfeldt F, Settler U, Plachta-Danielzik S, Pfeuffer M, et al. Determinants and impact of sleep duration in children and adolescents: data of the Kiel Obesity Prevention Study. Eur J Clin Nutr. 2009;63 (6):739-46.

[41] Jaaskelainen P, Magnussen CG, Pahkala K, Mikkila V, Kahonen M, Sabin MA, et al. Childhood nutrition in predicting metabolic syndrome in adults: the cardiovascular risk in Young Finns Study. Diabetes Care. 2012;35 (9):1937-43.

[42] Javaheri S, Storfer-Isser A, Rosen CL, Redline S. Association of short and long sleep durations with insulin sensitivity in adolescents. J Pediatr. 2011;158 (4):617-23.

[43] Kanai Y, Kamoda T, Saito M, Fujiyama S, Nishimura K, Iwabuchi A, et al. Cord blood insulin-like growth factor (IGF)-1, IGF-binding proteins and adiponectin, and birth size in offspring of women with mild gestational diabetes. Early Hum Dev. 2016;93:39-42.

[44] Kang HT, Lee HR, Shim JY, Shin YH, Park BJ, Lee YJ. Association between screen time and metabolic syndrome in children and adolescents in Korea: the 2005 Korean National Health and Nutrition Examination Survey. Diabetes Res Clin Pract. 2010;89 (1):72-8.

[45] Klingenberg L, Chaput JP, Holmback U, Visby T, Jennum P, Nikolic M, et al. Acute Sleep Restriction Reduces Insulin Sensitivity in Adolescent Boys. Sleep. 2013;36 (7):1085- 90.

[46] Koren D, Levitt Katz LE, Brar PC, Gallagher PR, Berkowitz RI, Brooks LJ. Sleep architecture and glucose and insulin homeostasis in obese adolescents. Diabetes Care. 2011;34 (11):2442-7.

[47] Koskinen J, Magnussen CG, Sabin MA, Kahonen M, Hutri-Kahonen N, Laitinen T, et al. Youth overweight and metabolic disturbances in predicting carotid intimamedia thickness, type 2 diabetes, and metabolic syndrome in adulthood: the Cardiovascular Risk in Young Finns study. Diabetes Care. 2014;37 (7):1870-7.

[48] Kris-Etherton P, Eckel RH, Howard BV, St Jeor S, Bazzarre TL, Nutrition Committee Population Science C, et al. AHA Science Advisory: Lyon Diet Heart Study. Benefits of a Mediterranean-style, National Cholesterol Education Program/American Heart Association Step I Dietary Pattern on Cardiovascular Disease. Circulation. 2001;103
(13):1823-5.

[49] Li S, Chen W, Srinivasan SR, Xu J, Berenson GS. Relation of childhood obesity/cardiometabolic phenotypes to adult cardiometabolic profile: the Bogalusa Heart Study. Am J Epidemiol. 2012;176 Suppl 7:S142-9.

[50] Loy JJ, Youn HA, Schwack B, Kurian M, Ren Fielding C, Fielding GA. Improvement in nonalcoholic fatty liver disease and metabolic syndrome in adolescents undergoing bariatric surgery. Surg Obes Relat Dis. 2015;11 (2):442-9.

[51] Ludwig DS, Peterson KE, Gortmaker SL. Relation between consumption of sugarsweetened drinks and childhood obesity: a prospective, observational analysis. Lancet. 2001;357 (9255):505-8.

[52] Maddison R, Foley L, Ni Mhurchu C, Jiang Y, Jull A, Prapavessis H, et al. Effects of active video games on body composition: a randomized controlled trial. Am J Clin Nutr. 2011;94 (1):156-63.

[53] Marcil V, Amre D, Seidman EG, Boudreau F, Gendron FP, Menard D, et al. Hepatocyte nuclear factor 4 alpha polymorphisms and the metabolic syndrome in FrenchCanadian youth. PLoS One. 2015;10 (2):e0117238.

[54] Mark AE, Janssen I. Relationship between screen time and metabolic syndrome in adolescents. J Public Health (Oxf). 2008;30 (2):153-60.

[55] Matthews KA, Dahl RE, Owens JF, Lee L, Hall M. Sleep duration and insulin resistance in healthy black and white adolescents. Sleep. 2012;35 (10):1353-8.

[56] Matthews VL, Wien M, Sabate J. The risk of child and adolescent overweight is related to types of food consumed. Nutr J. 2011;10:71.

[57] Monzani A, Rapa A, Fuiano N, Diddi G, Prodam F, Bellone S, et al. Metabolic syndrome is strictly associated with parental obesity beginning from childhood. Clin Endocrinol (Oxf). 2014;81 (1):45-51.

[58] Muller UM, Walther C, Adams V, Mende M, Adam J, Fikenzer K, et al. Long term impact of one daily unit of physical exercise at school on cardiovascular risk factors in school children. Eur J Prev Cardiol. 2016;23 (13):1444-52.

[59] Nakashima M, Sakurai M, Nakamura K, Miura K, Yoshita K, Morikawa Y, et al. Dietary glycemic index, glycemic load and blood lipid levels in middle-aged Japanese men and women. J Atheroscler Thromb. 2010;17 (10):1082-95.

[60] Nanri A, Mizoue T, Noda M, Takahashi Y, Kato M, Inoue M, et al. Rice intake and type 2 diabetes in Japanese men and women: the Japan Public Health Center-based Prospective Study. Am J Clin Nutr. 2010;92 (6):1468-77.

[61] Nupponen M, Pahkala K, Juonala M, Magnussen CG, Niinikoski H, Ronnemaa T, et al. Metabolic syndrome from adolescence to early adulthood: effect of infancyonset dietary counseling of low saturated fat: the Special Turku Coronary Risk Factor Intervention Project (STRIP). Circulation. 2015;131 (7):605-13.

[62] O’Neil CE, Fulgoni VL, 3rd, Nicklas TA. Tree Nut consumption is associated with better adiposity measures and cardiovascular and metabolic syndrome health risk factors in U.S. Adults: NHANES 2005-2010. Nutr J. 2015;14:64.

[63] Park SH, Lee KS, Park HY. Dietary carbohydrate intake is associated with ardiovascular disease risk in Korean: analysis of the third Korea National Health and Nutrition Examination Survey (KNHANES III). Int J Cardiol. 2010;139 (3):234-40.

[64] Perng W, Gillman MW, Mantzoros CS, Oken E. A prospective study of maternal prenatal weight and offspring cardiometabolic health in midchildhood. Ann Epidemiol. 2014;24 (11):793-800 e1.

[65] Pontiroli AE. Type 2 diabetes mellitus is becoming the most common type of diabetes in school children. Acta Diabetol. 2004;41 (3):85-90.

[66] Ramirez-Silva I, Rivera JA, Trejo-Valdivia B, Martorell R, Stein AD, Romieu I, et al. Breastfeeding status at age 3 months is associated with adiposity and cardiometabolic markers at age 4 years in Mexican children. J Nutr. 2015;145 (6):1295-302.

[67] Razquin C, Martinez JA, Martinez-Gonzalez MA, Mitjavila MT, Estruch R, Marti A. A 3 years follow-up of a Mediterranean diet rich in virgin olive oil is associated with high plasma antioxidant capacity and reduced body weight gain. Eur J Clin Nutr. 2009;63 (12):1387-93.

[68] Redline S, Storfer-Isser A, Rosen CL, Johnson NL, Kirchner HL, Emancipator J, et al. Association between metabolic syndrome and sleep-disordered breathing in adolescents. Am J Respir Crit Care Med. 2007;176 (4):401-8.

[69] Sabate J, Wien M. A perspective on vegetarian dietary patterns and risk of metabolic syndrome. Br J Nutr. 2015;113 Suppl 2:S136-43.

[70] Shamsuzzaman A, Szczesniak RD, Fenchel MC, Amin RS. Glucose, insulin, and insulin resistance in normal-weight, overweight and obese children with obstructive sleep apnea. Obes Res Clin Pract. 2014;8 (6):e584-91.

[71] Skouteris H, McCabe M, Swinburn B, Newgreen V, Sacher P, Chadwick P. Parental influence and obesity prevention in pre-schoolers: a systematic review of interventions. Obes Rev. 2011;12 (5):315-28.

[72] Song S, Young Paik H, Song WO, Song Y. Metabolic syndrome risk factors are associated with white rice intake in Korean adolescent girls and boys. Br J Nutr. 2015;113 (3):479-87.

[73] Spruyt K, Molfese DL, Gozal D. Sleep duration, sleep regularity, body weight, and metabolic homeostasis in school-aged children. Pediatrics. 2011;127 (2):e345-52.

[74] Stoger R. Epigenetics and obesity. Pharmacogenomics. 2008;9 (12):1851-60.

[75] Trost SG, Sundal D, Foster GD, Lent MR, Vojta D. Effects of a pediatric weight management program with and without active video games a randomized trial. JAMA Pediatr. 2014;168 (5):407-13.

[76] Velazquez-Lopez L, Santiago-Diaz G, Nava-Hernandez J, Munoz-Torres AV, MedinaBravo P, Torres-Tamayo M. Mediterranean-style diet reduces metabolic syndrome components in obese children and adolescents with obesity. BMC Pediatr. 2014;14:175.

[77] White MJ, Eren F, Agirbasli D, Williams SM, Agirbasli M. SHBG gene polymorphism (rs1799941) associates with metabolic syndrome in children and adolescents. PLoS One. 2015;10 (2):e0116915.

[78] Xu S, Xue Y. Pediatric obesity: Causes, symptoms, prevention and treatment. Exp Ther Med. 2016;11 (1):15-20.
[79] Yang J, Farioli A, Korre M, Kales SN. Modified Mediterranean diet score and cardiovascular risk in a North American working population. PLoS One. 2014;9 (2):e87539.

[80] Zeisel SH. Epigenetic mechanisms for nutrition determinants of later health outcomes. Am J Clin Nutr. 2009;89 (5):1488S-93S.

[81] Zhang H, Zhang T, Li S, Li Y, Hussain A, Fernandez C, et al. Long-term Impact of Childhood Adiposity on Adult Metabolic Syndrome Is Modified by Insulin Resistance: The Bogalusa Heart Study. Sci Rep. 2015;5:17885.

[82] Zhu Y, Li AM, Au CT, Kong AP, Zhang J, Wong CK, et al. Association between sleep architecture and glucose tolerance in children and adolescents. J Diabetes. 2015;7 (1):10-5.