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2019 | 70 | 1 |

Tytuł artykułu

Identification of metabolic indicators for cardiovascular risk in schoolchildren

Treść / Zawartość

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Objective. CardioVascular Disease (CVD) is one of the most important causes of death worldwide affecting people at younger ages every year. The purpose of this study was to identify the metabolic indicators for cardiovascular risk factors in primary school students from Mexico and Colombia. Methods. A clinical, prospective, cross-sectional and comparative study was conducted in Mexico and Colombia to contrast anthropometric measurements, biochemical and dietetic determinations and physical activity. Results. The Waist-Hip Ratio (WHR) and the Waist-to-Height Ratio (WtHR) showed significant differences (p≤0.001) between Mexico and Colombia (0.8 ± 0.1 versus 0.5 ± 0.1) and (0.4 ± 0.06 vs. 0.78 ± 0.04) respectively. The Automatic Linear Modeling showed that the main predictors for cholesterol levels were WtHR, MonoUnsaturated Fatty Acids (MUFA) and lipids ingestion. For glucose there were four main predictors: WHR, carbohydrates, MUFA and Saturated Fatty Acids (SFA). For triglycerides the pedictors were Products of Animal Origin (PAO), BMI, waist circumference, lipids and cholesterol ingestion and Mean Arterial Pressure (MAP). The Weight Estimation tests weighted per gender showed that for glucose levels the main determinants were carbohydrates, MUFA and oils; for cholesterol these were MUFA, PUFA and oils; and for LDL the significant variables were proteins, SFA, PAO and sugars; and last, for triglycerides the main variables were BMI, cholesterol and vegetables. Conclusions. Mexico has higher values in almost all items of cardiovascular risk in children, but both countries have significant percentages of obesity and the population free of cardiovascular risk is minimal.

Słowa kluczowe

Wydawca

-

Rocznik

Tom

70

Numer

1

Opis fizyczny

p.89-96,fig.,ref.

Twórcy

autor
  • Faculty of Medicine, Autonomous University of the State of Mexico (UAEMex), Toluca, Mexico
autor
  • Universidad de la Sabana, Cundinamarca, Colombia
  • Faculty of Medicine, Autonomous University of the State of Mexico (UAEMex), Toluca, Mexico
autor
  • Clínica CMC Country Medical Center, Colombia
  • Faculty of Medicine, Autonomous University of the State of Mexico (UAEMex), Toluca, Mexico
  • Universidad Colegio Mayor de Cundinamarca (UCMC), Bogota, Colombia
  • ASociacion CIentífica LAtina A.C. (ASCILA), Toluca, Mexico
autor
  • Faculty of Medicine, Autonomous University of the State of Mexico (UAEMex), Toluca, Mexico
autor
  • Faculty of Medicine, Autonomous University of the State of Mexico (UAEMex), Felipe Villanueva Sur 1209, Col. Rancho Dolores, C.P. 50170 Toluca, Edo. de Mexico, Mexico
  • ASociacion CIentífica LAtina A.C. (ASCILA), Toluca, Mexico

Bibliografia

  • 1. Huang R.C., Prescott S.L., Godfrey K.M., Davis E.A.: Assessment of cardiometabolic risk in children in population studies: underpinning developmental origins of health and disease mother-offspring cohort studies. J Nutr Sci 2015 Apr 10;4:e12. doi: 10.1017/jns.2014.69.
  • 2. Villarreal E., Forero Y., Poveda E., Baracaldo C., López E.: [Cardiovascular risk markers in schoolchildren from five provinces of eastern Colombia]. Biomedica 2008;28(1):38-49 (In Spanish).
  • 3. Savva S.C., Lamnisos D., Kafatos A.G.: Predicting cardiometabolic risk: waist-to-height ratio or BMI. A meta-analysis. Diabetes Metab Syndr Obes 2013;6:403-419. doi: 10.2147/DMSO.S34220.
  • 4. Marrodán M.D., Martínez Álvarez J.R., González-Montero De Espinosa M.L., López Ejeda N., Cabañas M.D., Pacheco J.L., Mesa M.S., Prado C., Carmenate M.M.: [Adiposity assessment from waist to height ratio: prediction equations for Spanish infant population]. Nutr Clin Diet Hosp. 2011;31(3):45-51 (In Spanish).
  • 5. Beck C.C., Lopes Ada S., Pitanga F.J.: Anthropometric indicators as predictors of high blood pressure in adolescents. Arq Bras Cardiol. 2011;96(2):126-133 (In English, Portuguese, Spanish).
  • 6. Anderson L.N., Lebovic G., Hamilton J., Hanley A.J., McCrindle B.W., Maguire J.L., Parkin P.C., Birken C., TARGet Kids Collaboration.: Body mass index, waist circumference, and the clustering of cardiometabolic risk factors in early childhood. Paediatr Perinat Epidemiol. 2016;30(2):160-170. doi: 10.1111/ppe.12268
  • 7. González Devia L.J., Monroy Romero P.A., Almonacid Urrego C.C., Orjuela O.L., Huérfano M.J., Mendieta Zerón H. Comparative study of risk factors related to cardiovascular disease in children from Bogotá, Colombia and Toluca, México. Rev Fac Cien Med Univ Nac Cordoba 2014;71(2):98-105.
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  • 10. Mederico M., Paoli M., Zerpa Y., Briceño Y., Gómez-Pérez R., Martínez J.L., Camacho N., Cichetti R., Molina Z., Mora Y., Valeri L; Grupo de trabajo CREDEFAR.: Reference values of waist circumference and waist/hip ratio in children and adolescents of Mérida, Venezuela: Comparison with international references. Endocrinol Nutr 2013;60(5):235-242 (In English, Spanish). doi: 10.1016/j.endonu.2012.12.003.
  • 11. ADA. Standards of Medical Care in Diabetes - 2016. Diabetes Care 2016;39(Suppl. 1):S1–S2.
  • 12. Executive Panel on Detection Evaluation and Treatment of High Blood Cholesterol in Adults. Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA. 2001;285(19):2486-2497.
  • 13. Sánchez-Contreras M., Moreno-Gómez G.A., Marín-Grisales M.E., García-Ortiz L.H.: Cardiovascular risk factors in young people. Rev Salud Publica (Bogota). 2009;11(1):110-122 (In Spanish).
  • 14. Piazza N. [Waist circumference in children and adolescents]. Arch Argent Pediatr. 2005;103:5-6 (In Spanish).
  • 15. Cabrera-Rode E., Bioti Torres Y., Marichal Madrazo S., Parlá Sardiñas J., Arranz Calzado C., Olano Justiniani R., González Fernández P., Vera González M.: [Waist-hip index versus waist circumference for the diagnosis of metabolic syndrome in children and adolescents with first-degree relatives with type 1 diabetes]. Rev Cubana Endocrinol 2011;22(3):182-195 (In Spanish).
  • 16. Di Bonito P., Valerio G., Grugni G., Licenziati M.R., Maffeis C., Manco M., Miraglia del Giudice E., Pacifico L., Pellegrin M.C., Tomat M., Baroni M.G.: CARdiometabolic risk factors in overweight and obese children in ITALY (CARITALY) Study Group. Comparison of non-HDLcholesterol versus triglycerides-to-HDL-cholesterol ratio in relation to cardiometabolic risk factors and preclinical organ damage in overweight/obese children: The CARITALY study. Nutr Metab Cardiovasc Dis. 2015;25(5):489-494. doi: 10.1016/j.numecd.2015.01.012.
  • 17. Alayón A.N., Castro-Orozco R., Gaviria-Esquivia L., Fernández-Franco M., Benítez-Peña L.: [Cardiovascular risk factors among 7-and 14-year old schoolchildren in Cartagena, Colombia, 2009]. Rev Salud Publica (Bogota). 2011;13(2):196-206 (In Spanish).
  • 18. Park J.Y., Lee H.J., Jang H.B., Hwang J.Y., Kang J.H., Han B.G., Lee J.Y., Song J. Interactions between ADIPOQ gene variants and dietary monounsaturated: saturated fatty acid ratio on serum lipid levels in Korean children. Nutr Metab Cardiovasc Dis. 2014;24(1):83-90. doi: 10.1016/j.numecd.2013.04.007.
  • 19. Lee H.J., Jang H.B., Kim H.J., Ahn Y., Hong K.W., Cho S.B., Kang J.H., Park S.I.: The dietary monounsaturated to saturated fatty acid ratio modulates the genetic effects of GCKR on serum lipid levels in children. Clin Chim Acta. 2015;450:155-161. doi: 10.1016/j.cca.2015.08.012
  • 20. Bergeron N., Deshaies Y., Lavigne C., Jacques H.: Interaction between dietary proteins and lipids in the regulation of serum and liver lipids in the rabbit. Effect of fish protein. Lipids. 1991;26(9):759-64.
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  • 23. Instituto Nacional de Salud Pública. [2012 National Health and Nutrition Survey]. Available at: https://ensanut.insp.mx/index.php#.WMqj6NThC9I

Typ dokumentu

Bibliografia

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