Journals / Şişli Etfal Hastanesi Tıp Bülteni / 2019 / Cilt: 53 - Sayı: 4

Prevalence of Metabolic Syndrome in Middle School Children and Evaluation of Components of Metabolic Syndrome

Pages
403–408
DOI
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⚡ TL;DR(Too Long; Didn't Read)

Therefore, early diagnosis of obese children and examinationof cardiovascular risk factors and metabolic syndrome criteria is very important.

📌 3 Key Takeaways

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Objective & Hypothesis:Objectives: This study was designed to determine the prevalence of metabolic syndrome (MS) in Turkish children and to examinethe relationship between MS components in this age group.Methods: A total of 395 students in Istanbul aged 10 to 14 years in the 2004-2005 school year were enrolled in the study.
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Key Findings & Data:Of the total, 353provided blood samples for analysis of fasting glucose level, basal insulin, total cholesterol, triglyceride, high-density lipoprotein(HDL), low-density lipoprotein (LDL), and very-low-density lipoprotein (VLDL) levels.
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Conclusion & Impact:Therefore, early diagnosis of obese children and examinationof cardiovascular risk factors and metabolic syndrome criteria is very important.
🔬Design:Modeling & Simulation
📍Scope:2004-2005 Verileri
⚙️Variables:Domain Parameters

Özet

Objectives: This study was designed to determine the prevalence of metabolic syndrome (MS) in Turkish children and to examinethe relationship between MS components in this age group.Methods: A total of 395 students in Istanbul aged 10 to 14 years in the 2004-2005 school year were enrolled in the study. Bodyweight, height, waist circumference, hip circumference, and systolic-diastolic blood pressure were measured. Of the total, 353provided blood samples for analysis of fasting glucose level, basal insulin, total cholesterol, triglyceride, high-density lipoprotein(HDL), low-density lipoprotein (LDL), and very-low-density lipoprotein (VLDL) levels. Modified World Health Organization criteriawere used for the diagnosis of MS.Results: In this study, 44.5% of the children were female and 55.5% were male. The mean body mass index (BMI) was 20.57±3.48kg/m², 10.4% (n=41) were overweight, and 12.7% (n=50) were obese. MS was diagnosed in 0.85% of the entire study group andin 6% of the obese children. There was a positive correlation between BMI and waist circumference (p<0.001), waist/hip ratio(p<0.001), systolic blood pressure (p<0.001), diastolic blood pressure (p<0.001), basal insulin level (p<0.001), homeostasis modelassessment of insulin resistance (p<0.001), triglyceride value (p<0.001), total cholesterol level (p<0.05), LDL (p<0.001), and VLDLlevel (p<0.001), and a negative correlation with HDL level (p<0.001).Conclusion: The study results confirmed that MS is present in children and not limited to adults, and this is an important healthproblem. The prevalence of MS is more common in obese children. Therefore, early diagnosis of obese children and examinationof cardiovascular risk factors and metabolic syndrome criteria is very important.

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Cite This Article

ELİTOK, G. K., DURU, N. S., ELEVLİ, M., AYDAN, Z., KARŞIDAĞ, K. (2019). Prevalence of Metabolic Syndrome in Middle School Children and Evaluation of Components of Metabolic Syndrome. Şişli Etfal Hastanesi Tıp Bülteni, Cilt: 53 - Sayı: 4, 403–408. https://ajindex.com/articles/364185

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References (17)

  1. Abbasi F, Brown BW Jr, Lamendola C, McLaughlin T, Reaven GM. Relationship between obesity, insulin resistance, and coronary heart disease risk. J Am Coll Cardiol 2002;40:937–43
  2. Samson SL, Garber AJ. Metabolic syndrome. Endocrinol Metab Clin North Am 2014;43:1–23
  3. Reaven GM. Banting lecture 1988. Role of insulin resistance in human disease. Diabetes 1988;37:1595–607
  4. Jahangiry L, Farhangi MA, Rezaei F. Framingham risk score for estimation of 10-years of cardiovascular diseases risk in patients with metabolic syndrome. J Health Popul Nutr 2017;36:36
  5. Meigs JB. Epidemiology of the insulin resistance syndrome. Curr Diab Rep 2003;3:73–9
  6. Alberti KG, Zimmet P, Shaw J; IDF Epidemiology Task Force Consensus Group. The metabolic syndrome--a new worldwide definition. Lancet 2005;366:1059–62
  7. Ozanne SE, Hales CN. Early programming of glucose-insulin metabolism. Trends Endocrinol Metab 2002;13:368–73
  8. Caprio S. Insulin resistance in childhood obesity. J Pediatr Endocrinol Metab 2002;15 Suppl 1:487–92
  9. Bao W, Srinivasan SR, Berenson GS. Persistent elevation of plasma insulin levels is associated with increased cardiovascular risk in children and young adults. The Bogalusa Heart Study. Circulation 1996;93:54–9
  10. Garber AJ. The metabolic syndrome. Med Clin North Am 2004;88:837–46
  11. Hatun S. Metabolic syndrome in childhood: update. Türk Pediatri Arşivi 2011;46:1–5
  12. Cook S, Auinger P, Li C, Ford ES. Metabolic syndrome rates in United States adolescents, from the National Health and Nutrition Examination Survey, 1999-2002. J Pediatr 2008;152:165–70
  13. Cizmecioglu FM, Etiler N, Hamzaoglu O, Hatun S. Prevalence of metabolic syndrome in schoolchildren and adolescents in Turkey: a population-based study. J Pediatr Endocrinol Metab 2009;22:703–14
  14. Lee S, Bacha F, Gungor N, Arslanian S. Comparison of different definitions of pediatric metabolic syndrome: relation to abdominal adiposity, insulin resistance, adiponectin, and inflammatory biomarkers. J Pediatr 2008;152:177–84
  15. Kuba VM, Leone C, Damiani D. Is waist-to-height ratio a useful indicator of cardio-metabolic risk in 6-10-year-old children? BMC Pediatr 2013;13:91
  16. Keskin M, Kurtoglu S, Kendirci M, Atabek ME, Yazici C. Homeostasis model assessment is more reliable than the fasting glucose/ insulin ratio and quantitative insulin sensitivity check index for assessing insulin resistance among obese children and adolescents. Pediatrics 2005;115:e500–3
  17. Sardinha LB, Santos D