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Licensed Unlicensed Requires Authentication Published by De Gruyter October 18, 2014

Insulin secretion response during oral glucose tolerance test is related to low cardiorespiratory fitness in obese adolescents

  • Albane B.R. Maggio EMAIL logo , Julie Wacker Bou Puigdefabregas , Valerie M. Schwitzgebel , Catherine Chamay-Weber , Maurice Beghetti and Nathalie J. Farpour-Lambert

Abstract

Background: The obesity paradox refers to a category of subjects who may be less prone to develop co-morbidities, such as type 2 diabetes. Cardiorespiratory fitness (CRF) has been identified as one of the key factors. We aimed at exploring the difference in insulin metabolism between fit and unfit obese adolescents.

Methods: We recruited 22 obese adolescents and assessed CRF during an incremental treadmill test. According to a cut-off at 80% of predicted maximal oxygen consumption (VO2max), subjects were separated into low or normal CRF. Body composition was determined by densitometry. Serum levels of insulin were measured sequentially during an oral glucose tolerance test and insulin secretion responses were calculated.

Results: Compared to adolescents with normal CRF, the ones with low CRF had higher insulin resistance indices (p=0.023) and insulin secretion response (p=0.010), independently of the body mass index z-score.

Conclusions: Interventions in obese adolescents should focus on the maintenance or improvement of CRF to at least 80% of predicted VO2max. Indeed, this cut-off was significantly related to insulin secretion responses, independently of the adiposity level. A CRF above the proposed cut-off may prevent the development of insulin resistance.


Corresponding author: Albane B.R. Maggio, MD, Pediatric Obesity and Chronic Diseases, Service of Pediatric Specialties, Department of Child and Adolescent, University Hospitals of Geneva 6, rue Willy-Donzé, 1211 Geneva 14, Switzerland, Phone: +41-22-382-33-11, Fax: +41-22-372-50-90, E-mail:

Acknowledgments

We thank the subjects for volunteering for the study, Xavier Martin and the staff of the Pediatric Research Platform for their assistance. This study was supported financially by the “Prim’Enfance Foundation”, the Geneva University Hospital Research and Development Fund. The work was independent of the funding.

Conflicts of interest statement: The authors have no conflicts of interest to declare.

References

1. Reilly JJ, Kelly J. Long-term impact of overweight and obesity in childhood and adolescence on morbidity and premature mortality in adulthood: systematic review. Int J Obes (Lond) 2011;35:891–8.10.1038/ijo.2010.222Search in Google Scholar PubMed

2. Fagot-Campagna A, Pettitt DJ, Engelgau MM, Burrows NR, Geiss LS, et al. Type 2 diabetes among North American children and adolescents: an epidemiologic review and a public health perspective. J Pediatr 2000;136:664–72.10.1067/mpd.2000.105141Search in Google Scholar PubMed

3. Dolan LM, Bean J, D’Alessio D, Cohen RM, Morrison JA, et al. Frequency of abnormal carbohydrate metabolism and diabetes in a population-based screening of adolescents. J Pediatr 2005;146:751–8.10.1016/j.jpeds.2005.01.045Search in Google Scholar PubMed

4. Weiss R, Dziura J, Burgert TS, Tamborlane WV, Taksali SE, et al. Obesity and the metabolic syndrome in children and adolescents. N Engl J Med 2004;350:2362–74.10.1056/NEJMoa031049Search in Google Scholar PubMed

5. Schwimmer JB, Pardee PE, Lavine JE, Blumkin AK, Cook S. Cardiovascular risk factors and the metabolic syndrome in pediatric nonalcoholic fatty liver disease. Circulation 2008;118:277–83.10.1161/CIRCULATIONAHA.107.739920Search in Google Scholar PubMed PubMed Central

6. Reaven GM. Role of insulin resistance in human disease (syndrome X): an expanded definition. Annu Rev Med 1993;44:121–31.10.1146/annurev.me.44.020193.001005Search in Google Scholar PubMed

7. McAuley PA, Blair SN. Obesity paradoxes. J Sports Sci 2011;29:773–82.10.1080/02640414.2011.553965Search in Google Scholar PubMed

8. Ortega FB, Lee DC, Katzmarzyk PT, Ruiz JR, Sui X, et al. The intriguing metabolically healthy but obese phenotype: cardiovascular prognosis and role of fitness. Eur Heart J 2013;34:389–97.10.1093/eurheartj/ehs174Search in Google Scholar PubMed PubMed Central

9. Lee S, Kuk JL, Katzmarzyk PT, Blair SN, Church TS, et al. Cardiorespiratory fitness attenuates metabolic risk independent of abdominal subcutaneous and visceral fat in men. Diabetes Care 2005;28:895–901.10.2337/diacare.28.4.895Search in Google Scholar PubMed

10. Messier V, Malita FM, Rabasa-Lhoret R, Brochu M, Karelis AD. Association of cardiorespiratory fitness with insulin sensitivity in overweight and obese postmenopausal women: a Montreal Ottawa New Emerging Team study. Metabolism 2008;57: 1293–8.10.1016/j.metabol.2008.04.026Search in Google Scholar PubMed

11. WHO. 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. WHO, 2006:312pp.Search in Google Scholar

12. Kamel EG, McNeill G, Han TS, Smith FW, Avenell A, et al. Measurement of abdominal fat by magnetic resonance imaging, dual-energy X-ray absorptiometry and anthropometry in non-obese men and women. Int J Obes Relat Metab Disord 1999;23:686–92.10.1038/sj.ijo.0800904Search in Google Scholar

13. Matsuda M, DeFronzo RA. Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care 1999;22:1462–70.10.2337/diacare.22.9.1462Search in Google Scholar

14. Allard P, Delvin EE, Paradis G, Hanley JA, O’Loughlin J, et al. Distribution of fasting plasma insulin, free fatty acids, and glucose concentrations and of homeostasis model assessment of insulin resistance in a representative sample of Quebec children and adolescents. Clin Chem 2003;49:644–9.10.1373/49.4.644Search in Google Scholar

15. Pacini G, Mari A. Methods for clinical assessment of insulin sensitivity and beta-cell function. Best Pract Res Clin Endocrinol Metab 2003;17:305–22.10.1016/S1521-690X(03)00042-3Search in Google Scholar

16. Giardini A, Odendaal D, Khambadkone S, Derrick G. Physiologic decrease of ventilatory response to exercise in the second decade of life in healthy children. Am Heart J 2011;161:1214–9.10.1016/j.ahj.2011.03.008Search in Google Scholar PubMed

17. Ruppel GL. Cardiopulmonary exercise testing. In: Ruppel GL, editor. Manual of pulmonary function testing, 9th ed. St. Louis, MO: MOSBY Elsevier, 2008:209–70.Search in Google Scholar

18. Maggio AB, Mueller P, Wacker J, Viallon M, Belli DC, et al. Increased pancreatic fat fraction is present in obese adolescents with metabolic syndrome. J Pediatr Gastroenterol Nutr 2012;54:720–6.10.1097/MPG.0b013e318244a685Search in Google Scholar PubMed

19. Ruiz JR, Ortega FB, Rizzo NS, Villa I, Hurtig-Wennlof A, et al. High cardiovascular fitness is associated with low metabolic risk score in children: the European Youth Heart Study. Pediatr Res 2007;61:350–5.10.1203/pdr.0b013e318030d1bdSearch in Google Scholar PubMed

20. Allen DB, Nemeth BA, Clark RR, Peterson SE, Eickhoff J, et al. Fitness is a stronger predictor of fasting insulin levels than fatness in overweight male middle-school children. J Pediatr 2007;150:383–7.10.1016/j.jpeds.2006.12.051Search in Google Scholar PubMed

21. Ball GD, Shaibi GQ, Cruz ML, Watkins MP, Weigensberg MJ, et al. Insulin sensitivity, cardiorespiratory fitness, and physical activity in overweight Hispanic youth. Obes Res. 2004;12:77–85.10.1038/oby.2004.11Search in Google Scholar PubMed

22. Eisenmann JC, DuBose KD, Donnelly JE. Fatness, fitness, and insulin sensitivity among 7- to 9-year-old children. Obesity (Silver Spring) 2007;15:2135–44.10.1038/oby.2007.254Search in Google Scholar PubMed

23. Shulman GI, Rothman DL, Jue T, Stein P, DeFronzo RA, et al. Quantitation of muscle glycogen synthesis in normal subjects and subjects with non-insulin-dependent diabetes by 13C nuclear magnetic resonance spectroscopy. N Engl J Med 1990;322:223–8.10.1056/NEJM199001253220403Search in Google Scholar PubMed

24. Bell RD, Macek M, Rutenfranz J, Saris WH. Health indicators and risk factors of cardiovascular diseases during childhood and adolescence. In: Rutenfranz J, Mocelin R, Klimt F, editors. Children and exercise XII. Champaign, IL: Human Kinetics, 1986:19–27.Search in Google Scholar

25. Bruce CR, Hawley JA. Improvements in insulin resistance with aerobic exercise training: a lipocentric approach. Med Sci Sports Exerc 2004;36:1196–201.Search in Google Scholar

26. Laaksonen DE, Lakka HM, Salonen JT, Niskanen LK, Rauramaa R, et al. Low levels of leisure-time physical activity and cardiorespiratory fitness predict development of the metabolic syndrome. Diabetes Care 2002;25:1612–8.10.2337/diacare.25.9.1612Search in Google Scholar PubMed

27. Calcaterra V, Larizza D, Codrons E, De Silvestri A, Brambilla P, et al. Improved metabolic and cardiorespiratory fitness during a recreational training program in obese children. J Pediatr Endocrinol Metab 2013;26:271–6.10.1515/jpem-2012-0157Search in Google Scholar PubMed

Received: 2014-7-29
Accepted: 2014-9-22
Published Online: 2014-10-18
Published in Print: 2015-5-1

©2015 by De Gruyter

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