Diabetes Metab J.  2019 Apr;43(2):183-191. 10.4093/dmj.2018.0034.

Association between Changes in Anthropometric Indices and in Fasting Insulin Levels among Healthy Korean Adolescents: The JS High School Study

Affiliations
  • 1Department of Public Health, Yonsei University Graduate School, Seoul, Korea.
  • 2Cardiovascular and Metabolic Diseases Etiology Research Center, Yonsei University College of Medicine, Seoul, Korea. hckim@yuhs.ac
  • 3National Academy of Agricultural Science, Rural Development Administration, Wanju, Korea.
  • 4Department of Medical and Pharmaceutical Affairs, Mapo-gu Health Center, Seoul, Korea.
  • 5Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.

Abstract

BACKGROUND
This study investigated the association between changes in anthropometric indices and fasting insulin levels among healthy adolescents and whether the association differed by baseline obesity status.
METHODS
This analysis was based on data collected for the JS High School study; 884 healthy adolescents aged 15 to 16 years followed up for 24 to 30 months were included. Changes in anthropometric indices and fasting insulin levels were computed as the difference between baseline and follow-up values. Multivariate linear regression models were used to determine the association between changes in anthropometric indices and fasting insulin levels. Based on body mass index (BMI)-for-age and waist circumference (WC)-for-age percentiles, participants were classified as normal weight (<85th percentile), overweight (85th percentile to <95th percentile), or obese (≥95th percentile).
RESULTS
Changes in BMI, WC, waist-hip ratio, and waist-height ratio were significantly associated with changes in fasting insulin levels in both sexes (P<0.05). In analyses stratified by baseline obesity status, the association between change in BMI and change in fasting insulin was significantly stronger in overweight (males: standardized β=1.136; females: standardized β=1.262) and obese (males: standardized β=1.817; females: standardized β=2.290) participants than in those with normal weight (males: standardized β=0.957; females: standardized β=0.976) at baseline. Results were similar for changes in WC.
CONCLUSION
Changes in anthropometric indices were positively associated with fasting insulin level increases. Moreover, those who were overweight or obese at baseline had a higher absolute increase in fasting insulin levels per one standard deviation unit increase in anthropometric indices than adolescents with normal weight.

Keyword

Adolescent; Insulin; Obesity

MeSH Terms

Adolescent*
Body Mass Index
Fasting*
Female
Follow-Up Studies
Humans
Insulin*
Linear Models
Obesity
Overweight
Waist Circumference
Waist-Height Ratio
Waist-Hip Ratio
Insulin

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Reference

1. World Health Organization. Global Strategy on Diet, Physical Activity and Health. cited 2018 Dec 27. Available from: https://www.who.int/nmh/wha/59/dpas/en/.
2. Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010. JAMA. 2012; 307:483–490. PMID: 22253364.
Article
3. Oh K, Jang MJ, Lee NY, Moon JS, Lee CG, Yoo MH, Kim YT. Prevalence and trends in obesity among Korean children and adolescents in 1997 and 2005. Korean J Pediatr. 2008; 51:950–955.
Article
4. Lee M, Larson R. The Korean ‘examination hell’: long hours of studying, distress, and depression. J Youth Adolesc. 2000; 29:249–271.
Article
5. Kong IG, Lee HJ, Kim SY, Sim S, Choi HG. Physical activity, study sitting time, leisure sitting time, and sleep time are differently associated with obesity in Korean adolescents: a population-based study. Medicine (Baltimore). 2015; 94:e1965. PMID: 26554807.
6. Daniels SR, Arnett DK, Eckel RH, Gidding SS, Hayman LL, Kumanyika S, Robinson TN, Scott BJ, St Jeor S, Williams CL. Overweight in children and adolescents: pathophysiology, consequences, prevention, and treatment. Circulation. 2005; 111:1999–2012. PMID: 15837955.
7. Nguyen QM, Srinivasan SR, Xu JH, Chen W, Berenson GS. Changes in risk variables of metabolic syndrome since childhood in pre-diabetic and type 2 diabetic subjects: the Bogalusa Heart Study. Diabetes Care. 2008; 31:2044–2049. PMID: 18628566.
8. Srinivasan SR, Myers L, Berenson GS. Changes in metabolic syndrome variables since childhood in prehypertensive and hypertensive subjects: the Bogalusa Heart Study. Hypertension. 2006; 48:33–39. PMID: 16769996.
9. Sinaiko AR, Donahue RP, Jacobs DR Jr, Prineas RJ. Relation of weight and rate of increase in weight during childhood and adolescence to body size, blood pressure, fasting insulin, and lipids in young adults. The Minneapolis Children’s Blood Pressure Study. Circulation. 1999; 99:1471–1476. PMID: 10086972.
10. Whitaker RC, Wright JA, Pepe MS, Seidel KD, Dietz WH. Predicting obesity in young adulthood from childhood and parental obesity. N Engl J Med. 1997; 337:869–873. PMID: 9302300.
Article
11. Karpe F, Dickmann JR, Frayn KN. Fatty acids, obesity, and insulin resistance: time for a reevaluation. Diabetes. 2011; 60:2441–2449. PMID: 21948998.
Article
12. Choi DP, Lee JY, Kim HC. Cohort profile: The JS High School study (JSHS): a cohort study of Korean adolescents. Int J Epidemiol. 2017; 46:393–402. PMID: 25948660.
Article
13. Korea Center for Disease Control and Prevention. Korean Children and Adolescents Growth Standard (commentary for the development of 2007 growth chart). Seoul: Korea Center for Disease Control and Prevention;2007.
14. Kondaki K, Grammatikaki E, Pavon DJ, Manios Y, Gonzalez-Gross M, Sjostrom M, Gottrand F, Molnar D, Moreno LA, Kafatos A, Gilbert C, Kersting M, De Henauw S. Comparison of several anthropometric indices with insulin resistance proxy measures among European adolescents: The Helena Study. Eur J Pediatr. 2011; 170:731–739. PMID: 21052739.
Article
15. Freedman DS, Kahn HS, Mei Z, Grummer-Strawn LM, Dietz WH, Srinivasan SR, Berenson GS. Relation of body mass index and waist-to-height ratio to cardiovascular disease risk factors in children and adolescents: the Bogalusa Heart Study. Am J Clin Nutr. 2007; 86:33–40. PMID: 17616760.
Article
16. Sung RY, Yu CC, Choi KC, McManus A, Li AM, Xu SL, Chan D, Lo AF, Chan JC, Fok TF. Waist circumference and body mass index in Chinese children: cutoff values for predicting cardiovascular risk factors. Int J Obes (Lond). 2007; 31:550–558. PMID: 16953258.
Article
17. Nakamoto JM. Myths and variations in normal pubertal development. West J Med. 2000; 172:182–185. PMID: 10734809.
Article
18. Malina RM, Bouchard C. Growth, maturation, and physical activity. Champaign: Human Kinetics Books;1991.
19. Burke GL, Webber LS, Srinivasan SR, Radhakrishnamurthy B, Freedman DS, Berenson GS. Fasting plasma glucose and insulin levels and their relationship to cardiovascular risk factors in children: Bogalusa Heart Study. Metabolism. 1986; 35:441–446. PMID: 3517558.
Article
20. 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; 93:54–59. PMID: 8616941.
21. Gavin JR 3rd, Roth J, Neville DM Jr, de Meyts P, Buell DN. Insulin-dependent regulation of insulin receptor concentrations: a direct demonstration in cell culture. Proc Natl Acad Sci U S A. 1974; 71:84–88. PMID: 4359334.
Article
22. Hunter SJ, Garvey WT. Insulin action and insulin resistance: diseases involving defects in insulin receptors, signal transduction, and the glucose transport effector system. Am J Med. 1998; 105:331–345. PMID: 9809695.
23. Kahn SE, Prigeon RL, McCulloch DK, Boyko EJ, Bergman RN, Schwartz MW, Neifing JL, Ward WK, Beard JC, Palmer JP. Quantification of the relationship between insulin sensitivity and beta-cell function in human subjects. Evidence for a hyperbolic function. Diabetes. 1993; 42:1663–1672. PMID: 8405710.
Article
24. Sinha R, Fisch G, Teague B, Tamborlane WV, Banyas B, Allen K, Savoye M, Rieger V, Taksali S, Barbetta G, Sherwin RS, Caprio S. Prevalence of impaired glucose tolerance among children and adolescents with marked obesity. N Engl J Med. 2002; 346:802–810. PMID: 11893791.
Article
25. Li C, Ford ES, Zhao G, Mokdad AH. Prevalence of pre-diabetes and its association with clustering of cardiometabolic risk factors and hyperinsulinemia among U.S. adolescents: National Health and Nutrition Examination Survey 2005-2006. Diabetes Care. 2009; 32:342–347. PMID: 18957533.
26. Smith CP, Dunger DB, Williams AJ, Taylor AM, Perry LA, Gale EA, Preece MA, Savage MO. Relationship between insulin, insulin-like growth factor I, and dehydroepiandrosterone sulfate concentrations during childhood, puberty, and adult life. J Clin Endocrinol Metab. 1989; 68:932–937. PMID: 2523898.
Article
27. Rosenbloom AL, Wheeler L, Bianchi R, Chin FT, Tiwary CM, Grgic A. Age-adjusted analysis of insulin responses during normal and abnormal glucose tolerance tests in children and adolescents. Diabetes. 1975; 24:820–828. PMID: 1158042.
Article
28. Nambiar S, Truby H, Davies PS, Baxter K. Use of the waist-height ratio to predict metabolic syndrome in obese children and adolescents. J Paediatr Child Health. 2013; 49:E281–E287. PMID: 23521181.
Article
29. Yi KH, Hwang JS, Kim EY, Lee SH, Kim DH, Lim JS. Prevalence of insulin resistance and cardiometabolic risk in Korean children and adolescents: a population-based study. Diabetes Res Clin Pract. 2014; 103:106–113. PMID: 24290751.
Article
30. Styne DM, Arslanian SA, Connor EL, Farooqi IS, Murad MH, Silverstein JH, Yanovski JA. Pediatric obesity-assessment, treatment, and prevention: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2017; 102:709–757. PMID: 28359099.
Article
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