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Instituto Nacional de Salud Pública

2019, Number 5

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salud publica mex 2019; 61 (5)

Associations between dietary patterns and metabolic syndrome in adolescents

Ramírez-López G, Flores-Aldana M, Salmerón J

Language: English
References: 45
Page: 619-628
PDF size: 300.17 Kb.


ABSTRACT

Objective. Evaluate association of dietary patterns with metabolic syndrome (MetS) and metabolic markers. Materials and methods. 654 adolescents from Guadalajara, Jalisco, participated in a cross-sectional study. Diet was evaluated using a food frequency questionnaire; 24 food groups were integrated, and dietary patterns were derived using cluster analysis. MetS was defined according to International Diabetes Federation (IDF), Cook and colleagues, Ford and colleagues, and de Ferranti and colleagues criteria. Results. Dietary patterns identified were: “DP1”, “DP2”, and “DP3”. Among males, “DP3” was associated with MetS (Cook and collaborators) (OR, 12.14; 95%CI, 1.66-89.05), hypertriglyceridemia (OR, 3.89; 95%CI, 1.01-15.07), and insulin resistance (OR, 6.66; 95%CI, 1.12-39.70). “DP2” was associated with abdominal obesity (OR, 5.11; 95%CI, 1.57-16.66). Conclusions. “DP3” entertained a greater risk of MetS, hypertriglyceridemia, and insulin resistance, while “DP2” possessed a greater risk of abdominal obesity among adolescent males.


REFERENCES

  1. Rodríguez-Morán M, Salazar-Vázquez B, Violante R, Guerrero-Romero F. Metabolic syndrome among children and adolescents aged 10-18 years. Diabetes Care. 2004;27(10):2516-17. https://doi.org/10.2337/diacare. 27.10.2516

  2. Halley-Castillo E, Borges G, Talavera JO, Orozco R, Vargas-Alemán C, Huitrón-Bravo G, et al. Body mass index and the prevalence of metabolic syndrome among children and adolescents in two Mexican populations. J Adolesc Health. 2007;40(6):521-6. https://doi.org/10.1016/j.jadohealth. 2006.12.015

  3. Ford ES, Li C, Pearson WS, Mokdad AH. Prevalence of the metabolic syndrome among U.S. adolescents using the definition from the International Diabetes Federation. Diabetes Care. 2008;31(3):587-9. https://doi. org/10.2337/dc07-1030

  4. Pitsavos C, Panagiotakos D, Weinem M, Stefanadis C. Diet, exercise and the metabolic syndrome. Rev Diabet Stud. 2006;3(3):118-26. https://doi. org/10.1900/RDS.2006.3.118

  5. Newby PK, Tucker KL. Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev. 2004;62(5):177-203. https://doi. org/10.1111/j.1753-4887.2004.tb00040.x

  6. Mozaffarian D, Ludwig DS. Dietary guidelines in the 21st centurya time for food. JAMA. 2010;304(6):681-2. https://doi.org/10.1001/ jama.2010.1116

  7. Flores M, Macias N, Rivera M, Lozada A, Barquera S, Rivera-Dommarco J, et al. Dietary patterns in Mexican adults are associated with risk of being overweight or obese. J Nutr. 2010;140(10):1869-73. https://doi. org/10.3945/jn.110.121533

  8. Denova-Gutiérrez E, Castañón S, Talavera JO, Flores M, Macías N, Rodríguez-Ramírez S, et al. Dietary patterns are associated with different indexes of adiposity and obesity in an urban Mexican population. J Nutr. 2011;141(5):921-7. https://doi.org/10.3945/jn.110.132332

  9. Song Y, Park MJ, Paik HY, Joung H. Secular trends in dietary patterns and obesity-related risk factors in Korean adolescents aged 10-19 years. Int J Obes (Lond). 2010;34(1):48-56. https://doi.org/10.1038/ijo.2009.203

  10. Pérez-Rodrigo C, Gil Á, González-Gross M, Ortega RM, Serra-Majem L, Varela-Moreiras G, et al. Clustering of dietary patterns, lifestyles, and overweight among Spanish children and adolescents in the ANIBES Study. Nutrients. 2015;8(1):E11. https://doi.org/10.3390/nu8010011

  11. Shang X, Li Y, Liu A, Zhang Q, Hu X, Du S, et al. Dietary pattern and its association with the prevalence of obesity and related cardiometabolic risk factors among Chinese children. PLoS One. 2012;7(8):e43183. https:// doi.org/10.1371/journal.pone.0043183

  12. Araújo J, Teixeira J, Gaio AR, Lopes C, Ramos E. Dietary patterns among 13-y-old Portuguese adolescents. Nutrition. 2015;31(1):148-54. https://doi.org/10.1016/j.nut.2014.06.007

  13. Ramírez-López G, Morán-Villota S, Mendoza-Carrera F, Portilla-de Buen E, Valles-Sánchez V, Castro-Martínez XH, et al. Metabolic and genetic markers’ associations with elevated levels of alanine aminotransferase in adolescents. J Pediatr Endocrinol Metab. 2018;31(4):407-14. https://doi. org/10.1515/jpem-2017-0217

  14. Hernández-Avila M, Romieu I, Parra S, Hernández-Avila J, Madrigal H, Willett W. Validity and reproducibility of a food frequency questionnaire to assess dietary intake of women living in Mexico City. Salud Publica Mex. 1998;40(2):133-40.

  15. Hernández-Ávila M, Resoles M, Parra S. Sistema de evaluación de hábitos nutricionales y consumo de nutrimentos (SNUT). Cuernavaca: Instituto Nacional de Salud Pública, 2000.

  16. Marcus SE, Giovino GA, Pierce JP, Harel Y. Measuring tobacco use among adolescents. Public Health Rep. 1993;108(suppl 1):20-24.

  17. Schlossberger NM, Turner RA, Irwin CE. Validity of self-report of pubertal maturation in early adolescents. J Adolesc Health. 1992;13(2):109-13.

  18. Slaughter MH, Lohman TG, Boileau RA, Horswill CA, Stillman RJ, Van Loan MD, et al. Skinfold equations for estimation of body fatness in children and youth. Hum Biol. 1988;60(5):709-23.

  19. Hernández B, Gortmaker SL, Laird NM, Colditz GA, Parra-Cabrera S, Peterson KE. Validez y reproducibilidad de un cuestionario de actividad e inactividad física para escolares de la ciudad de México. Salud Publica Mex. 2000;42(4):315-23.

  20. Zimmet P, Alberti KG, Kaufman F, Tajima N, Silink M, Arslanian S, et al. IDF Consensus Group. The metabolic syndrome in children and adolescents -an IDF consensus report. Pediatr Diabetes. 2007;8(5):299-306. https://doi.org/10.1111/j.1399-5448.2007.00271.x

  21. Cook S, Weitzman M, Auinger P, Nguyen M, Dietz WH. Prevalence of a metabolic syndrome phenotype in adolescents: findings from the third National Health and Nutrition Examination Survey, 1988-1994. Arch Pediatr Adolesc Med. 2003;157(8):821-27. https://doi.org/10.1001/archpedi. 157.8.821

  22. De Ferranti SD, Gauvreau K, Ludwig DS, Neufeld EJ, Newburger JW, Rifai N. Prevalence of the metabolic syndrome in American adolescents: findings from the Third National Health and Nutrition Examination Survey. Circulation. 2004;110(16):2494-7. https://doi.org/10.1161/01. CIR.0000145117.40114.C7

  23. Ford ES, Ajani UA, Mokdad AH. The metabolic syndrome and concentrations of C-reactive protein among U.S. youth. Diabetes Care. 2005;28(4):878-81. https://doi.org/10.2337/diacare.28.4.878

  24. National Cholesterol Education Program (NCEP). Highlights of the report of the Expert Panel on Blood Cholesterol Levels in Children and Adolescents. Pediatrics. 1992;89(3):495-501.

  25. García-Cuartero B, García-Lacalle C, Jiménez-Lobo C, González- Vergaz A, Calvo-Rey C, Alcázar-Villar MJ, et al. Índice HOMA y QUICKI, insulina y péptido C en niños sanos. Puntos de corte de riesgo cardiovascular. An Pediatr. 2007;66(5):481-90. https://doi.org/10.1157/13102513

  26. World Health Organization. Guideline: Sugars intake for adults and children. Geneva: WHO, 2015.

  27. Barquera S, Hernandez-Barrera L, Tolentino ML, Espinosa J, Ng SW, Rivera JA, et al. Energy intake from beverages is increasing among Mexican adolescents and adults. J Nutr. 2008;138(12):2454-61. https://doi. org/10.3945/jn.108.092163

  28. Romero-Polvo A, Denova-Gutiérrez E, Rivera-Paredez B, Castañón S, Gallegos-Carrillo K, Halley-Castillo E, et al. Association between dietary patterns and insulin resistance in Mexican children and adolescents. Ann NutrMetab. 2012;61(2):142-50. https://doi.org/10.1159/000341493

  29. Nettleton JA, Hivert MF, Lemaitre RN, McKeown NM, Mozaffarian D, Tanaka T, et al. Meta-analysis investigating associations between healthy diet and fasting glucose and insulin levels and modification by loci associated with glucose homeostasis in data from 15 cohorts. Am J Epidemiol. 2013;15(2):103-15. https://doi.org/10.1093/aje/kws297

  30. Stanhope KL, Schwarz JM, Keim NL, Griffen SC, Bremer AA, Graham JL, et al. Consuming fructose-sweetened, not glucose-sweetened, beverages increases visceral adiposity and lipids and decreases insulin sensitivity in overweight/obese humans. J Clin Invest. 2009;119(5):1322-34. https:// doi.org/10.1172/JCI37385

  31. Malik VS, Popkin BM, Bray GA, Després JP, Willett WC, Hu FB. Sugar-sweetened beverages and risk of metabolic syndrome and type 2 diabetes: a meta-analysis. Diabetes Care. 2010;33(11):2477-83. https://doi. org/10.2337/dc10-1079

  32. Kim MS, Krawczyk SA, Doridot L, Fowler AJ, Wang JX, Trauger SA, et al. ChREBP regulates fructose-induced glucose production independently of insulin signaling. J Clin Invest. 2016;126(11):4372-86. https://doi. org/10.1172/JCI81993

  33. Institute of Medicine (U.S.). Standing Committee on the Scientific Evaluation of Dietary Reference Intakes. Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein, and amino acids. Washington DC: National Academies Press, 2005 [cited March 5, 2019]. Available from: https://www.nap.edu/download/10490

  34. Vikraman S, Fryar CD, Ogden CL. Caloric intake from fast food among children and adolescents in the United States, 2011–2012. NCHS data brief, no 213. Hyattsville, MD: National Center for Health Statistics, 2015.

  35. Asghari G, Yuzbashian E, Mirmiran P, Mahmoodi B, Azizi F. Fast food intake increases the incidence of metabolic syndrome in children and adolescents: Tehran Lipid and Glucose Study. PLoSOne. 12015;10(10):e0139641. https://doi.org/10.1371/journal.pone.0139641

  36. Asghari G, Yuzbashian E, Mirmiran P, Bahadoran Z, Azizi F. Prediction of metabolic syndrome by a high intake of energy-dense nutrient-poor snacks in Iranian children and adolescents. Pediatr Res. 2016;79(5):697- 704. https://doi.org/10.1038/pr.2015.270

  37. Rodríguez-Ramírez S, Mundo-Rosas V, García-Guerra A, Shamah-Levy T. Dietary patterns are associated with overweight and obesity in Mexican school-age children. Arch Latinoam Nutr. 2011;61(3):270-8.

  38. Grimes CA, Wright JD, Liu K, Nowson CA, Loria CM. Dietary sodium intake is associated with total fluid and sugar-sweetened beverage consumption in US children and adolescents aged 2–18 y: NHANES 2005–2008. Am J ClinNutr. 2013;98(1):189-96. https://doi.org/10.3945/ ajcn.112.051508

  39. Théodore F, Bonvecchio A, Blanco I, Irizarry L, Nava A, Carriedo A. Significados culturalmente construidos para el consumo de bebidas azucaradas entre escolares de la Ciudad de México. Rev Panam Salud Publica. 2011;30(4):327-34.

  40. Drewnowski A. Obesity, diets, and social inequalities. Nutr Rev. 2009;67(suppl 1):S36-9. https://doi.org/10.1111/j.1753-4887.2009.00157.x

  41. Berthoud HR. The neurobiology of food intake in an obesogenic environment. Proc Nutr Soc. 2012;71(4):478-87. https://doi.org/10.1017/ S0029665112000602

  42. Poti JM, Popkin BM. Trends in energy intake among US children by eating location and food source, 1977-2006. J Am Diet Assoc. 2011;111(8):1156-64. https://doi.org/10.1016/j.jada.2011.05.007

  43. Shamah-Levy T, Cuevas-Nasu L, Méndez-Gómez-Humarán I, Jimenez- Aguilar A, Mendoza-Ramirez AJ, Villalpando S. Obesity in Mexican school age children is associated with out-of-home food consumption: in the journey from home to school. Arch Latinoam Nutr. 2011;61(3):288-95.

  44. Naja F, Hwalla N, Itani L, Karam S, Sibai AM, Nasreddine L. A Western dietary pattern is associated with overweight and obesity in a national sample of Lebanese adolescents (13-19 years): a crosssectional study. Br J Nutr. 2015;114(11):1909-19. https://doi.org/10.1017/ S0007114515003657

  45. Park SJ, Lee SM, Kim SM, Myoungsook L. Gender specific effect of major dietary patterns on the metabolic syndrome risk in Korean pre-pubertal children. Nutr Res Pract. 2013;7(2):139-45. https://doi. org/10.4162/nrp.2013.7.2.139




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