Ann Pediatr Endocrinol Metab.  2022 Sep;27(3):155-156. 10.6065/apem.2221089edi02.

Commentary on "Single point insulin sensitivity estimator for predicting type 2 diabetes mellitus in obese adolescents"

Affiliations
  • 1Department of Pediatrics, Inje University Sanggye Paik Hospital, Inje University School of Medicine, Seoul, Korea


Reference

References

1. Chae J, Seo MY, Kim SH, Park MJ. Trends and risk factors of metabolic syndrome among Korean adolescents, 2007 to 2018. Diabetes Metab J. 2021; 45:880–9.
2. Jeong DY, Kim SH, Seo MY, Kang SY, Park MJ. Trends in serum lipid profiles among Korean adolescents, 2007-2018. Diabetes Metab Syndr Obes. 2021; 14:4189–97.
3. Gudi SK. Dairy consumption and risk of type-2 diabetes: the untold story. Ann Pediatr Endocrinol Metab. 2021; 26:14–8.
4. Kim J, Lee J. Role of obesity-induced inflammation in the development of insulin resistance and type 2 diabetes: history of the research and remaining questions. Ann Pediatr Endocrinol Metab. 2021; 26:1–13.
5. Kim M, Kim JH. Cardiometabolic risk factors and metabolic syndrome based on severity of obesity in Korean children and adolescents: data from the Korea National Health and Nutrition Examination Survey 2007-2018. Ann Pediatr Endocrinol Metab. 2022; Jun. 20. https://doi.org/10.6065/apem.2142230.115. [Epub].
6. Yoo SE, Lee JH, Lee JW, Park HS, Lee HA, Kim HS. Increasing prevalence of fasting hyperglycemia in adolescents aged 10-18 years and its relationship with metabolic indicators: the Korea National Health and Nutrition Examination Study (KNHANES), 2007-2018. Ann Pediatr Endocrinol Metab. 2022; 27:60–8.
7. Kim JY, Jeon JY. Role of exercise on insulin sensitivity and beta-cell function: is exercise sufficient for the prevention of youth-onset type 2 diabetes? Ann Pediatr Endocrinol Metab. 2020; 25:208–16.
8. Nogueira-de-Almeida CA. Metabolic syndrome definition in adolescents should incorporate insulin resistance. Ann Pediatr Endocrinol Metab. 2020; 25:287–8.
9. Kim JW, Park SH, Kim Y, Im M, Han HS. The cutoff values of indirect indices for measuring insulin resistance for metabolic syndrome in Korean children and adolescents. Ann Pediatr Endocrinol Metab. 2016; 21:143–8.
10. Chu SY, Jung JH, Park MJ, Kim SH. Risk assessment of metabolic syndrome in adolescents using the triglyceride/ high-density lipoprotein cholesterol ratio and the total cholesterol/high-density lipoprotein cholesterol ratio. Ann Pediatr Endocrinol Metab. 2019; 24:41–8.
11. Lee SH, Ahn MB, Choi YJ, Kim SK, Kim SH, Cho WK, et al. Comparison of different criteria for the definition of insulin resistance and its relationship to metabolic risk in children and adolescents. Ann Pediatr Endocrinol Metab. 2020; 25:227–33.
12. Seo JY, Kim JH. Validation of surrogate markers for metabolic syndrome and cardiometabolic risk factor clustering in children and adolescents: a nationwide population-based study. PLoS One. 2017; 12:e0186050.
13. Ha J, Oh YR, Kang E, Nam HK, Rhie YJ, Lee KH. Single point insulin sensitivity estimator for predicting type 2 diabetes mellitus in obese adolescents. Ann Pediatr Endocrinol Metab. 2022; 27:201–6.
14. Barchetta I, Dule S, Bertoccini L, Cimini FA, Sentinelli F, Bailetti D, et al. The single-point insulin sensitivity estimator (SPISE) index is a strong predictor of abnormal glucose metabolism in overweight/obese children: a longterm follow-up study. J Endocrinol Invest. 2022; 45:43–51.
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