ABC | Volume 115, Nº2, Agosto 2020

Artigo Original Jesus et al. Metanálise: adiposidade corporal e apolipoproteínas Arq Bras Cardiol. 2020; 115(2):163-171 1. Ruiter I, Olmedo-Requena R, Sánchez-Cruz J, Jiménez-Moleón J. Tendencia de la obesidad infantil y el bajo peso por año de nacimiento y edad en España, 1983-2011. Rev Esp Cardiol. 2017;70(8):646-55. 2. CorvalánC,UauyR,KainJ,MartorellR.Obesityindicatorsandcardiometabolic status in 4-y-old children. Am J Clin Nutr. 2009;91(1):166-74. 3. Managing the tide of childhood obesity[Editorial] . Lancet.2015; 385(9986):2434. 4. American Diabetes Association – ADA. Standards of Medical Care in Diabetes. Diabetes Care. 30(Suppl 1):S4-S41. 5. CarvalhoM, Colaço A, Fortes Z. Citocinas, disfunção endotelial e resistência à insulina. Arq Bras Endocrinol Metabol. 2006;50(2):304-12. 6. Steinberger J, Daniels S, Eckel R, Hayman L, Lustig R, McCrindle B et al. Progress and Challenges in Metabolic Syndrome in Children and Adolescents. Circulation. 2009;119(4):628-47. 7. Libby P, Okamoto Y, Rocha V, Folco E. Inflammation in Atherosclerosis: Circulation. 2010;74(2):213-20. 8. Teixeira B, Lopes A, Macedo R, Correa C, Ramis T, Ribeiro J et al. Inflammatory markers, endothelial function and cardiovascular risk. J Vasc Bras. 2014;13(2):108-115. 9. Vries M, Klop B, van der MeulenN, van de GeijnG, Prinzen L, van der Zwan E, et al. Leucocyte-bound apolipoprotein B in the circulation is inversely associated with the presence of clinical and subclinical atherosclerosis. Eur J Clin Invest. 2016;46(8):690-7. 10. Silva M, Rivera I, Ferraz M, Pinheiro A, Alves S, Moura A, et al. Prevalência de fatores de risco cardiovascular em crianças e adolescentes da rede de ensino da cidade de Maceió. Arq Bras Cardiol. 2005;84(5):2573-81. 11. Conceição-Machado M, Silva L, Santana M, Pinto E, Silva R, Moraes L, et al. Hypertriglyceridemic Waist Phenotype: Association with Metabolic Abnormalities in Adolescents. J Pediatr. 2013;89(1):56-63. 12. Shamseer L, Moher D, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. BMJ. Jan 02 2015;350:g7647 13. World Health Organization (WHO). Young people’s health - a challenge for society. 1986. [Cited in 2019 Mar 20] Available from: <https:// apps.who.int/iris/bitstream/handle/10665/41720/WHO_ TRS_731. pdf?sequence=1&isAllowed=y>. 14. Higgins JP; Green S. Cochrane handbook for systematic reviews of interventions version 5.1. 0 , The Cochrane Collaboration. 2011. [Cited ion 2016 Apr 26] Available from: :< http://handbook-5-1.cochrane.org/ 15. Viswanathan M, Berkman N. Development of the RTI item bank on risk of bias and precision of observational studies. J Clin Epidemiol. 2012;65(2):163-78. 16. Wells GA, Shea B, O’Connell D, Peterson J, Welch V, Losos M, et al. The NewCastle Scale (NOS) for assessing the quality of nonrandomized studies in meta-analysis {internet], [Cited in 2018 Feb 12] Available from: http:// www.ohri.ca/ programs/clinical_epidemiology/oxford.asp>. 17. Bernardo W, Nobre M, Jatene F. A prática clínica baseada em evidências: parte II - buscando as evidências em fontes de informação. Rev AssocMed Bras. 2004;50(1):104-8. 18. Rodrigues CL, Ziegelmann PK. Metanálise: um guia prático. Trabalho Conclusão Curso. `Porto Alegre: UFRS; 2010.[Citado em 2018 feb 12]. Disponível em: <http://www.lume.ufrgs.br/ bitstream/ handle/10183/24862/ 000749617.pdf?sequence=1>. 19. Brasil, Ministério da Saúde. Secretaria de Ciência, Tecnologia e Insumos Estratégicos. Diretrizes Metodológicas elaboração de revisão sistemática e metanálise de estudos observacionais comparativos sobre fatores de risco prognóstico. Departamento de Ciência e Tecnologia – Brasília: 2014. 132p. 20. Higgins J. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557-60. 21. Bogaert N, Steinbeck KS, Baur LA, Bermingham MA. Food, activity and family – environmental vs. biochemical predictors of weight gain in children. Eur J Clin Nutr. 2003;57:1242–9. 22. Howe L, Galobardes B, Sattar N, Hingorani A, Deanfield J, Ness A et al. Are there socioeconomic inequalities in cardiovascular risk factors in childhood and are they mediated by adiposity? Findings from a prospective cohort study. Int J Obes. 2010;34(7):1149-59. 23. Mehta S, Mahajan D, Steinbeck K, Bermingham M. Relationship between Measures of Fatness, Lipids and Ethnicity in a Cohort of Adolescent Boys. Ann Nutr Metabol. 2002;46(5):192-9. 24. Falaschetti E, Hingorani A, Jones A, Charakida M, Finer N, Whincup P, et al. Adiposity and cardiovascular risk factors in a large contemporary population of pre-pubertal children. Eur Heart J. 2010; 31(24):3063-72. 25. Larsson C, Hernell O, Lind T. (2010). Moderately elevated body mass index is associated with metabolic variables and cardiovascular risk factors in Swedish children. Acta Paediatr.2010;100(1):102-8. 26 Benson M, Hossain J, Caulfield M, Damaso L, Gidding S, Mauras N.. Lipoprotein Subfractions by Ion Mobility in Lean and Obese Children. J Pediatr.2012;161(6):997-100. 27. Wilke M, Maximova K, HendersonM, Levy E, Paradis G, O’Loughlin J,et al. Adiposity in Children and CVD Risk: ApoB48 Has a Stronger Association With Central Fat Than Classic LipidMarkers. J Clin Endocrinol.Metab. 2016; 101(7):2915-22. 28. Yamazaki Y. Relation of Adiposity Rebound age to Serum Small Dense Low-density Lipoprotei inn Young Childhood. Dokkyo Journal of Medical Sciences. 2008; 35(1):7-12. 29. Schusterova I, Leenen F, Jurko A, Sabol, F, Takacova, J. Epicardial adipose tissue and cardiometabolic risk factors in overweight and obese children and adolescents. Pediatr Obes. 2013; 9(1):63-70. 30. White J, Jago R. Fat distribution, physical activity and cardiovascular risk among adolescent girls. Nutr Metab Cardiovasc Dis.2013; 23(3):189-95. 31. Hartiala O, Magnussen C, Bucci M, Kajander S, Knuuti J, Ukkonen H, et al. (2015). Coronary heart disease risk factors, coronary artery calcification and epicardialfatvolumeintheYoungFinnsStudy.EurHeartJ.2015;16(11):256-63. 32. Marcovina S, Packard C. Measurement and meaning of apolipoprotein AI and apolipoprotein B plasma levels. J Intern Med. 2006;259(5):437-46. 33. Sierra-Johnson J, Romero-Corral A, Somers V, Lopez-Jimenez F, Walldius G, Hamsten A, et al. ApoB/apoA-I ratio: an independent predictor of insulin resistance in US non-diabetic subjects. Eur Heart J. 2007;28(1):2637-43. 34. Flauzino T, Alfieri D, Kallaur A, Almeida E, Reiche E. (2014). Polimorfismos genéticos associados ao metabolismo lipídico envolvidos na fisiopatologia do acidente vascular encefálico isquêmico. Semina: Ciênc Biol saúde.2014; 35(2):163-80. 35. Palmeira ÁC, Leal AA, Ramos N, Neto J, Simões MO, Medeiros CC. (2013). Lipoprotein (a) and cardiovascular risk factors in children and adolescents. Rev Paul Ped, 31(4):531-7. 36. Ferreira I, van-de-Laar R, Prins M, Twisk J, Stehouwer C. (2012). Carotid Stiffness in Young Adults: A Life-Course Analysis of its Early Determinants. Hypertension. 2012; 59(1):54-61. 37. Sociedade Brasileira de Cardiologia, 2012; I Diretriz Brasileira de Hipercolesterolemia Familiar. Arq Bras Cardiol. 2012;99 (2 supl 2):2-44. 38. Sociedade Brasileira de Endocrinologia e Metabologia –Folha da SBEM. Tireoide em foco. Departamento de Tireoide da SBEM. Folha da SBEM.2012; 1(3):2-14. 39. Sterne JAC, Harbord RM. (2004). Funnel plots in meta-analysis. The Stata J.2004;4(2):127–41. Referências Este é um artigo de acesso aberto distribuído sob os termos da licença de atribuição pelo Creative Commons 171

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