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Journals / Kafkas Journal of Medical Sciences / 2022 / Cilt: 12 - Sayı: 2

Anthropometric Measurements and Analysis Results of Metabolic Parameters of Those with Impaired Fasting Glucose and Impaired Glucose Tolerance

Feyyaz ÇAKIR
Halil İbrahim ERDOĞDU
Eray ATALAY
Pages
122–126
Publication Date
2022-08-31
DOI
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

Conclusion: In comparing anthropometric parameters with metabolic parameters in prediabetics, it is recommended that the waist/height value shows a significant difference between the metabolic parameters and HBA1c, HOMA values in the clinical follow-up and treatment of these prediabetic agents.

📌 3 Key Takeaways

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Objective & Hypothesis:Aim: Prediabetes is when the blood glucose level is between the normal value and the diabetes mellitus (DM) cut-off value.
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Key Findings & Data:Materials and Methods: We aimed to compare anthropometric and metabolic parameters in prediabetics and patients who applied to the internal medicine clinic of … University Health Education and Research Hospital between 01.06.2018-01.09.2018 included.
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Conclusion & Impact:Conclusion: In comparing anthropometric parameters with metabolic parameters in prediabetics, it is recommended that the waist/height value shows a significant difference between the metabolic parameters and HBA1c, HOMA values in the clinical follow-up and treatment of these prediabetic agents.
🔬Design:Modeling & Simulation
📍Scope:2018 Verileri
⚙️Variables:Prediabetes · Impaired fasting glucose · Impaired Glucose Tolerance

Abstract

Aim: Prediabetes is when the blood glucose level is between the normal value and the diabetes mellitus (DM) cut-off value. It is a metabolic disorder characterized by insulin resistance due to pancreatic β-cell dysfunction caused by primary or secondary causes. It is important due to the possibility of developing DM. Materials and Methods: We aimed to compare anthropometric and metabolic parameters in prediabetics and patients who applied to the internal medicine clinic of … University Health Education and Research Hospital between 01.06.2018-01.09.2018 included. Prediabetic individuals were divided into three as impaired fasting glucose, impaired glucose tolerance, and combined. Results: Of the 64 patients in our study, 35 were female, and 29 were male. While the age, body mass index (BMI), waist circumference, HBA1c, and homeostatic model assessment (HOMA)values did not differ significantly between the two genders, weight, height, hip circumference, waist/hip, and waist/height ratio showed significant difference (respectively p=0,040, p<0.001, p=0,040, p <0.001, p=0.003). When metabolic parameters were analyzed in prediabetic groups, HBA1c and HOMA-IR values showed statistically significant differences (p<0.001, p=0.004, respectively). While there was no difference in BMI and waist circumference from anthropometric parameters, hip circumference, waist/hip values, and Waist/Height ratio differed significantly between the genders (p=0.174, p=0.849, p=0.040, p<0.001, p=0.003 respectively). Conclusion: In comparing anthropometric parameters with metabolic parameters in prediabetics, it is recommended that the waist/height value shows a significant difference between the metabolic parameters and HBA1c, HOMA values in the clinical follow-up and treatment of these prediabetic agents.

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Cite This Article

ÇAKIR, F., ERDOĞDU, H. İ., ATALAY, E. (2022). Anthropometric Measurements and Analysis Results of Metabolic Parameters of Those with Impaired Fasting Glucose and Impaired Glucose Tolerance. Kafkas Journal of Medical Sciences, Cilt: 12 - Sayı: 2, 122–126. https://ajindex.com/articles/891924

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References (11)

  1. American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2013 Jan;36 Suppl 1:S67-74.
  2. Polonsky KS, Given BD, Hirsch L, et al. Quantitative study of insulin secretion and clearance in normal and obese subjects. J Clin Invest. 1988; 81:435–41.
  3. Buysschaert M, Medina JL, Bergman M, et al. Prediabetes and associated disorders. Endocrine. 2015; 48:371–393. DOI 10.1007/s12020-014-0436-2 4. Lamparter J, Raum P, Pfeiffer N, et al. Prevalence and associations of diabetic retinopathy in a large cohort of prediabetic subjects: the Gutenberg Health Study. J Diabetes Complications. 2014; 28:482–487.
  4. The prevalence of retinopathy in impaired glucose tolerance and recent-onset diabetes in the Diabetes Prevention Program. Diabet Med. 2007; 24:137–144.
  5. Echouffo-Tcheugui JB, Narayan KM, Weisman D, et al. Association between prediabetes and risk of chronic kidney disease: a systematic review and meta-analysis. Diabet Med. 2016; 33:1615–1624.
  6. Nasr G, Sliem H. Silent myocardial ischemia in prediabetics in relation to insulin resistance. J Cardiovasc Dis Res. 2010 Jul;1 (3):116–21.
  7. Taylor SE, Accili D, Imae Y. Insulin resistance or insulin deficiency. Which is the primary cause of NIDDM? Diabetes. 1994;43:735–740.
  8. Belfiore F, Iannello S, Volpicelli G. Insulin sensitivity indices calculated from basal and OGTT-induced insulin, glucose, and FFA levels. Mol Genet Metab. 1998;63:134–41.
  9. Tabak AG, Jokela M, Akbaraly TN, et al. Trajectories of glycaemia, insulin sensitivity, and insulin secretion before diagnosis of type 2 diabetes: an analysis from the Whitehall II study. Lancet. 2009;373:2215–21. https://doi.org/10.1016/S0140-6736 (09)60619-X 11. Mason CC, Hanson RL, Knowler WC. Progression to type 2 diabetes characterized by moderate then rapid glucose increases. Diabetes. 2007; 56:2054–61.
  10. Weir GC, Bonner-Weir S. Five stages of evolving beta-cell dysfunction during progression to diabetes. Diabetes. 2004;53 (Suppl 3):S16–S21.
  11. Maestre GE. Reduction of cognitive decline in patients with or at high risk for diabetes. Cur