López-Acevedo M, Ruiz-Jaramillo MC

Language: Spanish
References: 18
Page: 184-188
PDF size: 240.73 Kb.

ABSTRACT

Introduction: The European initiative: Identification and prevention of Dietary- and lifestyle-induced health EFects In Children and infantS (IDEFICS) established criteria for the diagnosis of metabolic syndrome (MS) in children younger than 10 years of age. Objective: To describe the frequency of MS with the IDEFICS criteria in children aged 3 to 10 years with obesity (body mass index ≥ 95th percentile). Material and methods: Descriptive, observational, and retrospective study, carried out between 2017 and 2018 in the Servicio de Pediatría del Hospital General León, Guanajuato, México. Results: A total of 73 patients were included, of which 53 (72.6%) met three or more IDEFICS criteria, thus being identified with MS. Of the 53 patients, 14 had a monitoring level and 39 had an intervention level. Dyslipidemia and insulin resistance were the most common MS components. Conclusions: The IDEFICS criteria are useful for identifying children younger than 10 years who have one or more SM components.

REFERENCES

1. Eyzaguirre F, Silva R, Román R, Palacio A, Cosentino M, Vega V et al. Prevalencia de síndrome metabólico en niños y adolescentes que consultan por obesidad. Rev Med Chile. 2011; 139: 732-738.

2. Wittcopp C, Conroy R. Metabolic syndrome in children and adolescents. Pediatr Rev. 2016; 37(5): 193-202. doi: 10.1542/pir.2014-0095.

3. Cornejo-Barrera J, Llanas-Rodríguez JD. Epidemiología del síndrome metabólico en pediatría. Evid Med Invest Salud. 2013; 6(3): 89-94.

4. Burguete-García AI, Valdés-Villalpando YN, Cruz M. Definiciones para el diagnóstico de síndrome metabólico en población infantil. Gac Med Mex. 2014; 150(s1): 79-87.

5. Ahrens W, Moreno LA, Marild S et al. Metabolic syndrome in young children: definitions and results of the IDEFICS study. Int J Obes (Lond). 2014; 38 Suppl 2: S4-S14. doi: 10.1038/ijo.2014.130.

6. Bundesministerium für Gesundheit. Deutschlands Initiative für gesunde Ernahrung und mehr Bewegung. IDEFICS Metabolic Syndrome Score Tool. Identification and prevention of Dietary and lifestyle-induced health effects in Children and Infants. Duitsland. Available in: https://mets-score.bips.eu

7. Secretaría de Salud. Encuesta Nacional de Salud y Nutrición 2018. Informe de resultados por entidad federativa. México: Instituto Nacional de Estadística y Geografía, Instituto Nacional de Salud Pública; 2019. Disponible en: https://ensanut.insp.mx/encuestas/ensanut2018/doctos/informes/Resultado_Entidad_Guanajuato.pdf

8. Secretaría de Salud. Gobierno de México. Algoritmos de atención clínica. Sobrepeso y obesidad en niños y adolescentes. México: 2018. Disponible en: http://www.calidad.salud.gob.mx/site/calidad/docs/algoritmo_sobrepeso_adolescentes.pdf

9. Nappo A, González-Gil EM, Ahrens W et al. Analysis of the association of leptin and adiponectin concentrations with metabolic syndrome in children: results from the IDEFICS study. Nutr Metab Cardiovasc Dis. 2017; 27(6): 543-551. doi: 10.1016/j.numecd.2017.04.003.

10. Bornhorst C, Russo P, Veidebaum T et al. Metabolic status in children and its transitions during childhood and adolescence-the IDEFICS/I. Family study. Int J Epidemiol. 2019; 48(5): 1673-1683. doi: 10.1093/ije/dyz097.

11. Evia-Viscarra ML, Rodea-Montero ER, Apolinar-Jiménez E, Quintana-Vargas S. Metabolic syndrome and its components among obese (BMI > = 95th) Mexican adolescents. Endocr Connect. 2013; 2(4): 208-215. doi: 10.1530/EC-13-0057.

12. Peplies J, Jiménez-Pavón D, Savva SC et al. Percentiles of fasting serum insulin, glucose, HbA1c and HOMA-IR in pre-pubertal normal weight European children from the IDEFICS cohort. Int J Obes (Lond). 2014; 38 Suppl 2: S39-S47. doi: 10.1038/ijo.2014.134.

13. Nagrani R, Foraita R, Gianfagna F et al. Common genetic variation in obesity, lipid transfer genes and risk of metabolic syndrome: results from IDEFICS/I. Family study and meta-analysis. Sci Rep. 2020; 10(1): 7189. doi: 10.1038/s41598-020-64031-2.

14. Iglesia I, Intemann T, De Miguel-Etayo P et al. Dairy consumption at snack meal occasions and the overall quality of diet during childhood. Prospective and Cross-sectional analyses from the IDEFICS/I. Family cohort. Nutrients. 2020; 12(3): 642. doi: 10.3390/nu12030642.

15. Santaliestra-Pasías AM, González-Gil EM, Pala V et al. Predictive associations between lifestyle behaviours and dairy consumption: The IDEFICS study. Nutr Metab Cardiovasc Dis. 2020; 30(3): 514-522. doi: 10.1016/j.numecd.2019.10.006.

16. Quijada Z, Paoli M, Zerpa Y, Camacho N, Cichetti R, Villarroel V, et al. The triglyceride/HDL-cholesterol ratio as a marker of cardiovascular risk in obese children; association with traditional and emergent risk factors. Pediatr Diabetes. 2008 Oct;9(5):464-71. doi: 10.1111/j.1399-5448.2008.00406.x.

17. Secretaría de Salud. Encuesta Nacional de Salud y Nutrición 2018. México: Instituto Nacional de Estadística y Geografía, Instituto Nacional de Salud Pública; 2019. Disponible en: https://ensanut.insp.mx/encuestas/ensanut2018/doctos/informes/ensanut_2018_presentacion_resultados.pdf

18. Secretaría de Salud Subsecretaría de Prevención y Promoción de la Salud. Declaratoria de Emergencia Epidemiológica EE-3-2016. Ciudad de México: Centro Nacional de Programas Preventivos y Control de Enfermedades; 2016. Disponible en: https://www.gob.mx/cms/uploads/attachment/file/265571/EE_3.pdf