Castelli risk index I and II as robust predictors in estimating cardiovascular risk in excess weight adolescents
DOI:
https://doi.org/10.33448/rsd-v10i4.14330Keywords:
Adolescents; Cardiovascular disease; Excess wheigth; Index; Obesity.Abstract
The present study aims to assess the prevalence of dyslipidemia and estimate cardiovascular risk according to more accurate biochemical indicators in adolescents, according to nutritional status. This is a cross-sectional study conducted with 807 adolescents from public schools, of both sexes, aged 10 to 17 years. The nutritional status was classified according to the body mass index. Dyslipidemia was considered the presence of increased levels in at least one of the parameters of the lipid profile: triglycerides (TG), total cholesterol and high (HDL-c) and low density (LDL-c) fractions. Cardiovascular risk was estimated by calculating Castelli Index I (CI-I) and II (CI-II), TG/HDL-c and non-HDL-c. Data were analyzed by Poisson regression with robust estimates of variance at 5% significance level. The median age was 13 (12-14) years, of which 57.7% were female. A 32% prevalence of excess weight was found. Excess weight was associated with cardiovascular risk in adolescents, and CI-II (PR: 2.75; 95%CI: 1.77-4.27; p<0.001) was the marker with the highest prevalence in the excess weight group, followed by CI-I (PR: 1.87; 95%CI: 1.56-2.22; p<0.001). It was possible to conclude that the use of IC-I and II had a higher prevalence than lipid markers analyzed alone and, therefore, are more robust predictors of cardiovascular risk in excess weight adolescents.
References
Arbués, E. R., Martínez-Abadía, B., Gracía-Tabuenca, T., Yuste-Gran, C., Pellicer-García, B., Juárez-Vela, R., ... & Sáez-Guinoa, M. (2019). Prevalencia de sobrepeso/obesidad y su asociación con diabetes, hipertensión, dislipemia y síndrome metabólico: estudio transversal de una muestra de trabajadores en Aragón, España. Nutrición Hospitalaria, 36(1), 51-59.
Arcanjo, C. L., Piccirillo, L. J., Machado, I. D. V., de Andrade Jr, C. R., Clemente, E. L., & Gomes, M. D. B. (2005). Avaliação de dislipidemia e de índices antropométricos em pacientes com diabetes mellitus tipo 1. Arquivos Brasileiros de Endocrinologia & Metabologia, 49(6), 951-958.
Barbalho, S. M., Oshiiwa, M., Fontana, L. C. S., Finalli, E. F. R., Paiva Filho, M. E., & Spada, A. P. M. (2017). Metabolic syndrome and atherogenic indices in school children: A worrying panorama in Brazil. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 11, S397-S401.
Barros, A. M. G., Visco, D. B., da Silva, R. M. P., da Paiva Alves, S. P., da Silva Simões, M. O., Medeiros, C. C. M., & de Carvalho, D. F. (2020). Perfil lipídico em crianças com sobrepeso e obesidade: uma revisão integrativa. Research, Society and Development, 9(11), e4349119952-e4349119952.
Bhardwaj, S., Bhattacharjee, J., Bhatnagar, M. K., Tyagi, S., & Delhi, N. (2013). Atherogenic index of plasma, castelli risk index and atherogenic coefficient-new parameters in assessing cardiovascular risk. Int J Pharm Biol Sci, 3(3), 359-64.
Bloch, K. V., Klein, C. H., Szklo, M., Kuschnir, M. C. C., Abreu, G. D. A., Barufaldi, L. A., ... & Goldberg, T. B. L. (2016). ERICA: prevalências de hipertensão arterial e obesidade em adolescentes brasileiros. Revista de Saúde Pública, 50, 9s.
Brandão, J. M., Fernandes, C. D. S., Barroso, S. G., & Rocha, G. D. S. (2015). Associação do consumo de fibras e risco cardiovascular em pacientes idosos. International Journal of Cardiovascular Sciences, 28(6), 464-71.
Brasil. Ministério da Saúde. (2011). Secretaria de Atenção à Saúde. Orientações para a coleta e análise de dados antropométricos em serviços de saúde: norma técnica do sistema de vigilância alimentar e nutricional – SISVAN. Brasília: Ministério da Saúde. http://189.28.128.100/dab/docs/portaldab/publicacoes/orientacoes_coleta_analise_dados_antropometricos.pdf
Brasil. Ministério da Saúde. (2019). Vigitel Brasil 2018: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico: estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no Distrito Federal em 2018. Brasília: Ministério da Saúde. https://portalarquivos2.saude.gov.br/images/pdf/2019/julho/25/vigitel-brasil 2018.pdf
Çağiran Yilmaz, F., Çağiran, D., & Özçelik, A. Ö. (2019). Adolescent obesity and its association with diet quality and cardiovascular risk factors. Ecology of food and nutrition, 58(3), 207-218.
Carvalho, L., Santos, M., Cabral, S., Oliveira, V., & Lopes, T. (2020). ERICA: Consumption of trans fats and saturated fats associated with dyslipidemia in obese and overweight adolescents. Rev. chil. nutr, 73-79.
dos Santos Vaz, J., Buffarini, R., Kac, G., Bielemann, R. M., Oliveira, I., Menezes, A. B., & Assunção, M. C. F. (2018). Dietary patterns are associated with blood lipids at 18-year-olds: a cross-sectional analysis nested in the 1993 Pelotas (Brazil) birth cohort. Nutrition journal, 17(1), 1-12.
Faludi, A. A., Izar, M. C. D. O., Saraiva, J. F. K., Chacra, A. P. M., Bianco, H. T., Afiune Neto, A., ... & Salgado Filho, W. (2017). Atualização da diretriz brasileira de dislipidemias e prevenção da aterosclerose–2017. Arquivos brasileiros de cardiologia, 109(2), 1-76.
Faria Neto, J. R., Bento, V. F. R., Baena, C. P., Olandoski, M., Gonçalves, L. G. D. O., Abreu, G. D. A., ... & Bloch, K. V. (2016). ERICA: prevalência de dislipidemia em adolescentes brasileiros. Revista de Saúde Pública, 50, 10s.
Feoli, A. M. P., Ribeiro, É. C. T., Piovesan, C. H., Macagnan, F. E., da Silva Oliveira, M., & da Silva Gustavo, A. (2018). Melhora do estilo de vida reduz o índice de Castelli 1 em indivíduos com síndrome metabólica. Revista Saúde e Pesquisa. 11(3):467-74.
Friedewald, W. T., Levy, R. I., & Fredrickson, D. S. (1972). Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clinical chemistry, 18(6), 499-502.
Gidding, S. S., Rana, J. S., Prendergast, C., McGill, H., Carr, J. J., Liu, K., ... & McMahan, C. A. (2016). Pathobiological determinants of atherosclerosis in youth (PDAY) risk score in young adults predicts coronary artery and abdominal aorta calcium in middle age: the CARDIA study. Circulation, 133(2), 139-146.
Gowda, Y. S., Asha Rani, N., Rajeshwari, A., Somashekar, G. N., & Nusrath, A. (2019) Atherogenic Predictor Indices: Role in Assessment of Cardiovascular Risk in Type 2 Diabetes Mellitus. IOSR J Biotechnol Biochem. 5(4):36-41.
Kamoru, A. A., Japhet, O. M., Adetunji, A. D., Musa, M. A., Hammed, O. O., Akinlawon, A. A., ... & Roji, S. M. (2017). Castelli risk index, atherogenic index of plasma, and atherogenic coefficient: emerging risk predictors of cardiovascular disease in hiv-treated patients. Saudi Journal of Medical and Pharmaceutical Sciences, 1101-1110.
Kavey, R. E. W. (2015). Combined dyslipidemia in childhood. Journal of clinical lipidology, 9(5), S41-S56.
Lacy, M., Atzler, D., Liu, R., de Winther, M., Weber, C., & Lutgens, E. (2019). Interactions between dyslipidemia and the immune system and their relevance as putative therapeutic targets in atherosclerosis. Pharmacology & therapeutics, 193, 50-62.
Lohman, T. G. (1986). Applicability of body composition techniques and constants for children and youths. Exercise and sport sciences reviews, 14, 325-357.
Peng, J., Luo, F., Ruan, G., Peng, R., & Li, X. (2017). Hypertriglyceridemia and atherosclerosis. Lipids in health and disease, 16(1), 1-12.
Reuter, C. P., Brand, C., Silva, P. T. D., Reuter, É. M., Renner, J. D. P., Franke, S. I. R., ... & Burgos, M. S. (2019). Relação entre Dislipidemia, Fatores Culturais e Aptidão Cardiorrespiratória em Escolares. Arquivos Brasileiros de Cardiologia, 112(6), 729-736.
Rosini, N., Rosini, R., Bruns, E., Camillo, G., Machado, M., & Silva, E. (2014). Jogos recreativos melhoram os fatores de risco cardiovascular em crianças e adolescentes com dislipidemia e obesidade abdominal: Um estudo piloto. Revista Brasileira de Atividade Física & Saúde, 19(1), 121-121.
Ruiz, L. D., Zuelch, M. L., Dimitratos, S. M., & Scherr, R. E. (2020). Adolescent obesity: diet quality, psychosocial health, and cardiometabolic risk factors. Nutrients, 12(1), 43.
Salcedo-Cifuentes, M., Belalcazar, S., Acosta, E. Y., & Medina-Murillo, J. J. (2020). Conventional biomarkers for cardiovascular risks and their correlation with the Castelli Risk Index-Indices and TG/HDL-C. Archivos de Medicina (Manizales), 20(1), 11-22.
Scherr, C., Magalhães, C. K., & Malheiros, W. (2007). Análise do perfil lipídico em escolares. Arquivos Brasileiros de Cardiologia, 89(2), 73-78.
Sheibani, H., Esmaeili, H., Tayefi, M., Saberi-Karimian, M., Darroudi, S., Mouhebati, M., ... & Ghayour-Mobarhan, M. (2019). A comparison of body mass index and percent body fat as predictors of cardiovascular risk factors. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 13(1), 570-575.
Simão, A. F., Précoma, D. B., Andrade, J. P. D., Correa Filho, H., Saraiva, J. F. K., Oliveira, G. M. M., ... & Souza, W. K. S. B. (2013). I Diretriz brasileira de prevenção cardiovascular. Arquivos brasileiros de cardiologia, 101(6), 1-63.
Vekic, J., Zeljkovic, A., Stefanovic, A., Jelic-Ivanovic, Z., & Spasojevic-Kalimanovska, V. (2019). Obesity and dyslipidemia. Metabolism, 92, 71-81.
Vizentin, N. P., Cardoso, P. M. S., Maia, C. A. G., Alves, I. P., Aranha, G. L., & Giannini, D. T. (2019). Dyslipidemia in adolescents seen in a university hospital in the city of Rio de Janeiro/Brazil: prevalence and association. Arquivos brasileiros de cardiologia, 112(2), 147-151.
Wang, H. H., Garruti, G., Liu, M., Portincasa, P., & Wang, D. Q. H. (2017). Cholesterol and lipoprotein metabolism and atherosclerosis: recent advances in reverse cholesterol transport. Annals of hepatology, 16, S27-S42.
World Health Organization. (2019). World health statistics 2019: monitoring health for the SDGs, sustainable development goals. Geneva: WHO. https://apps.who.int/iris/bitstream/handle/10665/324835/9789241565707-eng.pdf?sequence=9&isAllowed=y
World Health Organization. (2020). Obesity and overweight. Geneva: WHO. http:// www.who.int/en/news-room/fact-sheets/detail/obesity-and-overweight
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Copyright (c) 2021 Maria Dinara de Araújo Nogueira; Ribanna Aparecida Marques Braga; Francisco José Maia Pinto; Francisco Ranilson Silva; Vanessa Fernandes Coutinho; Nágila Raquel Teixeira Damasceno; Carla Soraya Costa Maia
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