Research ArticleOriginal Article
Open Access

Indices of insulin resistance and adiposity can detect obesity-related morbidity in pediatrics

Marwa H. Abdelhamed, Shaimaa Salah, Khloud K. ALqudsi, Majd M. Jan, Duaa K. Alahdal, Saher A. Alfaifi, Nuha M. Jafar, Naseem Y. Alyahyawi and Abdulmoein A. Al-Agha
Saudi Medical Journal February 2022, 43 (2) 161-168; DOI: https://doi.org/10.15537/smj.2022.43.2.20210720

References

  1. 1.↵
    1. Wang Y,
    2. Lim H.
    The global childhood obesity epidemic and the association between socio-economic status and childhood obesity. Int Rev Psychiatry 2012; 24: 176–188.
    OpenUrlCrossRefPubMedWeb of Science
  2. 2.↵
    World Health Organization. WHO child growth standards: length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age: Methods and development. [Updated 2006 Nov 11; Accessed 2020 March 30]. Available from: https://www.who.int/publications/i/item/924154693X
  3. 3.↵
    1. Al Shaikh A,
    2. Farahat F,
    3. Abaalkhail B,
    4. Kaddam I,
    5. Aseri K,
    6. Al Saleh Y.
    Prevalence of obesity and overweight among school-aged children in saudi arabia and its association with vitamin D status. Acta Biomed 2020; 91: e2020133.
    OpenUrl
  4. 4.↵
    1. Al-Agha A,
    2. Ocheltree A,
    3. Shata N.
    Prevalence of hyperinsulinism, type 2 diabetes mellitus and metabolic syndrome among Saudi overweight and obese pediatric patients. Minerva Pediatr 2012; 64: 623–631.
    OpenUrlPubMed
  5. 5.↵
    1. Gyllenhammer LE,
    2. Alderete TL,
    3. Toledo-Corral CM,
    4. Weigensberg M,
    5. Goran MI.
    Saturation of subcutaneous adipose tissue expansion and accumulation of ectopic fat associated with metabolic dysfunction during late and post-pubertal growth. Int J Obes 2016; 40: 601–606.
    OpenUrlCrossRefPubMed
  6. 6.↵
    1. Lê KA,
    2. Ventura EE,
    3. Fisher JQ,
    4. Davis JN,
    5. Weigensberg MJ,
    6. Punyanitya M, et al.
    Ethnic differences in pancreatic fat accumulation and its relationship with other fat depots and inflammatory markers. Diabetes Care 2011; 34: 485–490.
    OpenUrlAbstract/FREE Full Text
  7. 7.↵
    1. Prokopowicz Z,
    2. Malecka-Tendera E,
    3. Matusik P.
    Predictive value of adiposity level, metabolic syndrome, and insulin resistance for the risk of nonalcoholic fatty liver disease diagnosis in obese children. Can J Gastroenterol Hepatol 2018; 2018: 9465784.
    OpenUrl
  8. 8.↵
    1. Garrow JS,
    2. Webster J.
    Quetelet’s index (W/H2) as a measure of fatness. Int J Obes 1985; 9: 147–153.
    OpenUrlPubMedWeb of Science
  9. 9.↵
    1. Riley M,
    2. Hernandez AK,
    3. Kuznia AL.
    High blood pressure in children and adolescents. Am Fam Physician 2018 15; 98: 486–494.
    OpenUrl
  10. 10.↵
    1. Bala M,
    2. Meenakshi SA.
    Correlation of body mass index and waist/hip ratio with glycated hemoglobin in prediabetes. EJIFCC 2019; 30: 317.
    OpenUrl
  11. 11.↵
    1. Byambasukh O,
    2. Eisenga MF,
    3. Gansevoort RT,
    4. Bakker SJ,
    5. Corpeleijn E.
    Body fat estimates from bioelectrical impedance equations in cardiovascular risk assessment: The PREVEND cohort study. Eur J Prev Cardiol 2019; 26: 905–916.
    OpenUrl
  12. 12.↵
    1. de Silva MHAD,
    2. Hewawasam RP,
    3. Lekamwasam S.
    Concordance between body composition indices measured with dual-energy x-ray absorptiometry and bioelectrical impedance analysis in obese children in Sri Lanka. Int J Pediatr 2021; 2021: 6638057.
    OpenUrl
  13. 13.↵
    1. Sathiyakumar V,
    2. Blumenthal RS,
    3. Elshazly MB.
    New information on accuracy of LDL-C estimation. Am Coll Cardiol 2020.
  14. 14.↵
    1. Rohlfing CL,
    2. Hanson S,
    3. Tennill AL,
    4. Little RR.
    Effects of whole blood storage on hemoglobin a1c measurements with five current assay methods. Diabetes Technol Ther 2012; 14: 271–275.
    OpenUrlCrossRefPubMedWeb of Science
  15. 15.↵
    1. Lewandowski KC,
    2. Skowrońska-Jóźwiak E,
    3. Łukasiak K,
    4. Gałuszko K,
    5. Dukowicz A,
    6. Cedro M,
    7. Lewiński A.
    How much insulin resistance in polycystic ovary syndrome? Comparison of HOMA-IR and insulin resistance (Belfiore) index models. Archives of medical science. Arch Med Sci 2019; 15: 613.
    OpenUrl
  16. 16.↵
    American Diabetes Association. 2. Classification and diagnosis of diabetes: standards of medical care in diabetes-2019. Diabetes Care 2019; 42: S13–S28.
    OpenUrlAbstract/FREE Full Text
  17. 17.↵
    1. Valaiyapathi B,
    2. Sunil B,
    3. Ashraf AP.
    Approach to hypertriglyceridemia in the pediatric population. Pediatr Rev 2017; 38: 424–434.
    OpenUrlAbstract/FREE Full Text
  18. 18.↵
    1. Pagana KD,
    2. Pagana TJ,
    3. Pagana TN.
    Mosby’s Diagnostic and Laboratory Test References. St. Louis: Elsevier. 2019.
  19. 19.↵
    1. Freedman DS,
    2. Mei Z,
    3. Srinivasan SR,
    4. Berenson GS,
    5. Dietz WH.
    Cardiovascular risk factors and excess adiposity among overweight children and adolescents: The Bogalusa Heart Study. J Pediatr 2007; 150: 12–17.
    OpenUrlCrossRefPubMedWeb of Science
  20. 20.↵
    1. Noubiap JJ,
    2. Essouma M,
    3. Bigna JJ,
    4. Jingi AM,
    5. Aminde LN,
    6. Nansseu JR.
    Prevalence of elevated blood pressure in children and adolescents in Africa: a systematic review and meta-analysis. Lancet Public Health 2017; 2: e375–e386.
    OpenUrl
  21. 21.↵
    1. Al-Agha AE,
    2. Mabkhoot YM,
    3. Bahwirith AS,
    4. Mohammed AN,
    5. Ragbi R,
    6. Allhabi E, et al.
    Various causative factors and associated complications of childhood obesity in Jeddah, Western Region, Saudi Arabia. Ann Afr Med 2020; 19: 15–19.
    OpenUrl
  22. 22.↵
    1. Koutny F,
    2. Weghuber D,
    3. Bollow E,
    4. Greber-Platzer S,
    5. Hartmann K,
    6. Körner A, et al.
    Prevalence of prediabetes and type 2 diabetes in children with obesity and increased transaminases in European German‐speaking countries. Analysis of the APV initiative. Pediatr Obes 2020; 15: e12601.
    OpenUrl
  23. 23.↵
    1. Wiegand S,
    2. Maikowski U,
    3. Blankenstein O,
    4. Biebermann H,
    5. Tarnow P,
    6. Grüters A.
    Type 2 diabetes and impaired glucose tolerance in European children and adolescents with obesity-a problem that is no longer restricted to minority groups. Eur J Endocrinol 2004; 151: 199–196.
    OpenUrlAbstract
  24. 24.↵
    1. Brzeziński M,
    2. Metelska P,
    3. Myśliwiec M,
    4. Szlagatys-Sidorkiewicz A.
    Lipid disorders in children living with overweight and obesity-large cohort study from Poland. Lipids Health Dis 2020; 19: 1–9.
    OpenUrlCrossRef
  25. 25.↵
    1. Deeb A,
    2. Attia S,
    3. Mahmoud S,
    4. Elhaj G,
    5. Elfatih A.
    Dyslipidemia and fatty liver disease in overweight and obese children. J Obes 2018; 2018: 8626818.
    OpenUrl
  26. 26.↵
    1. Colak R,
    2. Anil M,
    3. Yasar F,
    4. Bakiler AR,
    5. Pirgon O,
    6. Helvaci M, et al.
    Metabolic disturbances and cardiovascular risk factors in obese children with vitamin D deficiency. Arch Pediatr 2020; 27: 140–145.
    OpenUrl
  27. 27.↵
    1. Plesner JL,
    2. Dahl M,
    3. Fonvig CE,
    4. Nielsen TRH,
    5. Kloppenborg JT,
    6. Pedersen O, et al.
    Obesity is associated with vitamin D deficiency in Danish children and adolescents. J Pediatr Endocrinol Metab 2018; 31: 53–61.
    OpenUrl
  28. 28.↵
    1. Nogueira-de-Almeida CA,
    2. de Mello ED.
    Different criteria for the definition of insulin resistance and its relation with dyslipidemia in overweight and obese children and adolescents. Pediatr Gastroenterol Hepatol Nutr 2018; 21: 59–67.
    OpenUrlPubMed
  29. 29.↵
    1. Asayama K,
    2. Oguni T,
    3. Hayashi K,
    4. Dobashi K,
    5. Fukunaga Y,
    6. Kodera K, et al.
    Critical value for the index of body fat distribution based on waist and hip circumferences and stature in obese girls. Int J Obes Relat Metab Disord 2000; 24: 1026–1031.
    OpenUrlCrossRefPubMedWeb of Science
  30. 30.↵
    1. Vazquez G,
    2. Duval S,
    3. Jacobs DR Jr.,
    4. Silventoinen K.
    Comparison of body mass index, waist circumference, and waist/hip ratio in predicting incident diabetes: a meta-analysis. Epidemiol Rev 2007; 29: 1–14.
    OpenUrlCrossRefPubMedWeb of Science
  31. 31.↵
    1. Hübers M,
    2. Pourhassan M,
    3. Braun W,
    4. Geisler C,
    5. Müller MJ.
    Definition of new cut‐offs of BMI and waist circumference based on body composition and insulin resistance: differences between children, adolescents and adults. Obes Sci Prac 2017: 3: 272–281.
    OpenUrl
  32. 32.↵
    1. Gong CD,
    2. Wu QL,
    3. Chen Z,
    4. Zhang D,
    5. Zhao ZY,
    6. Peng YM.
    Glycolipid metabolic status of overweight/obese adolescents aged 9-to 15-year-old and the BMI-SDS/BMI cut-off value of predicting dyslipidemiain boys, Shanghai, China: a cross-sectional study. Lipids Health Dis 2013; 12: 129.
    OpenUrl
  33. 33.↵
    1. Fowokan AO,
    2. Punthakee Z,
    3. Waddell C,
    4. Rosin M,
    5. Morrison KM,
    6. Gupta M, et al.
    Adiposity measures and their validity in estimating risk of hypertension in South Asian children: a cross-sectional study. BMJ Open 2019; 9: e024087.
    OpenUrlAbstract/FREE Full Text
  34. 34.↵
    1. Tompuri TT,
    2. Jääskeläinen J,
    3. Lindi V,
    4. Laaksonen DE,
    5. Eloranta AM,
    6. Viitasalo A, et al.
    Adiposity criteria in assessing increased cardiometabolic risk in prepubertal children. Front Endocrinol 2019; 10: 410.
    OpenUrl
  35. 35.↵
    1. Bohn B,
    2. Müller MJ,
    3. Simic-Schleicher G,
    4. Kiess W,
    5. Siegfried W,
    6. Oelert M, et al.
    BMI or BIA: is body mass index or body fat mass a better predictor of cardiovascular risk in overweight or obese children and adolescents? Obesity Facts 2015; 8: 156–165.
    OpenUrl
  36. 36.↵
    1. Maffeis C,
    2. Morandi A.
    Body composition and insulin resistance in children. Eur J Clin Nutr 2018; 72: 123–1245.
    OpenUrl
  37. 37.↵
    1. Horáková D,
    2. Štěpánek L,
    3. Janout V,
    4. Janoutová J,
    5. Pastucha D,
    6. Kollárová H,
    7. Petráková A,
    8. Štěpánek L,
    9. Husár R,
    10. Martiník K.
    Optimal homeostasis model assessment of insulin resistance (HOMA-IR) cut-offs: A cross-sectional study in the Czech population. Medicina (Kaunas) 2019; 55: 158.
    OpenUrl
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