Developing a risk assessment tool for
VO2max
adolescents
body fatness
insulin resistance
screening tool
type 2 diabetes
Journal
Journal of pediatric endocrinology & metabolism : JPEM
ISSN: 2191-0251
Titre abrégé: J Pediatr Endocrinol Metab
Pays: Germany
ID NLM: 9508900
Informations de publication
Date de publication:
16 Dec 2022
16 Dec 2022
Historique:
received:
18
05
2022
accepted:
26
09
2022
pubmed:
22
11
2022
medline:
3
12
2022
entrez:
21
11
2022
Statut:
epublish
Résumé
To develop and validate an easy-to-use screening tool for identifying adolescents at high-risk for insulin resistance (IR). Α total of 1,053 adolescents (554 females), aged 12.5 to 17.5 years with complete data on glucose and insulin levels were included. Body mass index (BMI), fat mass index (FMI) and the homeostasis model assessment for insulin resistance (HOMA-IR) were calculated. VO BMI and VO Paediatricians or physical education teachers can use easy-to-obtain and non-invasive measures to apply the HELENA-IR score and identify adolescents at high risk for IR, who should be referred for further tests.
Identifiants
pubmed: 36408818
pii: jpem-2022-0265
doi: 10.1515/jpem-2022-0265
doi:
Substances chimiques
Glucose
IY9XDZ35W2
Types de publication
Journal Article
Randomized Controlled Trial
Langues
eng
Sous-ensembles de citation
IM
Pagination
1518-1527Informations de copyright
© 2022 Walter de Gruyter GmbH, Berlin/Boston.
Références
International Diabetes Federation. IDF diabetes atlas, 10th ed. Brussels, Belgium: International Diabetes Federation; 2021.
International Diabetes Federation. IDF diabetes atlas, 8th ed. Brussels, Belgium: International Diabetes Federation; 2017.
Lynch, JL, Barrientos-Pérez, M, Hafez, M, Jalaludin, MY, Kovarenko, M, Rao, PV, et al.. Country-specific prevalence and incidence of youth-onset type 2 diabetes: a narrative literature review. Ann Nutr Metab 2020;76:289–96. https://doi.org/10.1159/000510499.
Lawrence, JM, Divers, J, Isom, S, Saydah, S, Imperatore, G, Pihoker, C, et al.. Trends in prevalence of type 1 and type 2 diabetes in children and adolescents in the US, 2001-2017. JAMA 2021;326:717. https://doi.org/10.1001/jama.2021.11165.
Chen, Y, Wang, T, Liu, X, Shankar, RR. Prevalence of type 1 and type 2 diabetes among US pediatric population in the MarketScan Multi‐State Database, 2002 to 2016. Pediatr Diabetes 2019;20:523–9. https://doi.org/10.1111/pedi.12842.
Shulman, R, Slater, M, Khan, S, Jones, C, Walker, JD, Jacklin, K, et al.. Prevalence, incidence and outcomes of diabetes in Ontario First Nations children: a longitudinal population-based cohort study. CMAJ Open 2020;8:E48–55. https://doi.org/10.9778/cmajo.20190226.
Koutny, F, Weghuber, D, Bollow, E, Greber-Platzer, S, Hartmann, K, 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. https://doi.org/10.1111/ijpo.12601.
Klingensmith, GJ, Lanzinger, S, Tamborlane, WV, Hofer, SE, Cheng, P, de Beaufort, C, et al.. Adolescent type 2 diabetes: comparing the pediatric diabetes consortium and Germany/Austria/luxemburg pediatric diabetes prospective registries. Pediatr Diabetes 2018;19:1156–63. https://doi.org/10.1111/pedi.12712.
Diabetes Canada Clinical Practice Guidelines Expert Committee. Ekoe, J-M, Goldenberg, R, Katz, P. Screening for diabetes in adults. Can J Diabetes 2018;42(1 Suppl):S16–9. https://doi.org/10.1016/j.jcjd.2017.10.004.
Gilmer, TP, O’Connor, PJ. The growing importance of diabetes screening. Diabetes Care 2010;33:1695–7. https://doi.org/10.2337/dc10-0855.
American Diabetes Association. 12. Children and adolescents: standards of medical care in diabetes—2018. Diabetes Care 2018;41:S126–36. https://doi.org/10.2337/dc18-S012.
Barkai, L, Kiss, Z, Rokszin, G, Abonyi-Tóth, Z, Jermendy, G, Wittmann, I, et al.. Changes in the incidence and prevalence of type 1 and type 2 diabetes among 2 million children and adolescents in Hungary between 2001 and 2016 – a nationwide population-based study. Arch Med Sci 2020;16:34–41. https://doi.org/10.5114/aoms.2019.88406.
Neu, A, Feldhahn, L, Ehehalt, S, Ziegler, J, Rothe, U, Rosenbauer, J, et al.. No change in type 2 diabetes prevalence in children and adolescents over 10 years: update of a population-based survey in South Germany. Pediatr Diabetes 2018;19:637–9. https://doi.org/10.1111/pedi.12622.
Candler, TP, Mahmoud, O, Lynn, RM, Majbar, AA, Barrett, TG, Shield, JPH. Continuing rise of Type 2 diabetes incidence in children and young people in the UK. Diabet Med 2018;35:737–44. https://doi.org/10.1111/dme.13609.
Demmer, RT, Zuk, AM, Rosenbaum, M, Desvarieux, M. Prevalence of diagnosed and undiagnosed type 2 diabetes mellitus among US adolescents: results from the continuous NHANES, 1999-2010. Am J Epidemiol 2013;178:1106–13. https://doi.org/10.1093/aje/kwt088.
Ramos Salas, X, Buoncristiano, M, Williams, J, Kebbe, M, Spinelli, A, Nardone, P, et al.. Parental perceptions of children’s weight status in 22 countries: the WHO European childhood obesity surveillance initiative: COSI 2015/2017. Obes Facts 2021;14:658–74. https://doi.org/10.1159/000517586.
Xiang, AH, Wang, C, Peters, RK, Trigo, E, Kjos, SL, Buchanan, TA. Coordinate changes in plasma glucose and pancreatic β-cell function in latino women at high risk for type 2 diabetes. Diabetes 2006;55:1074–9. https://doi.org/10.2337/diabetes.55.04.06.db05-1109.
Rutter, MK, Meigs, JB, Sullivan, LM, D’Agostino, RB, Wilson, PW. Insulin resistance, the metabolic syndrome, and incident cardiovascular events in the framingham offspring study. Diabetes 2005;54:3252–7. https://doi.org/10.2337/diabetes.54.11.3252.
Czech, MP. Insulin action and resistance in obesity and type 2 diabetes. Nat Med 2017;23:804–14. https://doi.org/10.1038/nm.4350.
Avena, R, Mitchell, ME, Neville, RF, Sidawy, AN. The additive effects of glucose and insulin on the proliferation of infragenicular vascular smooth muscle cells. J Vasc Surg 1998;28:1033–9. https://doi.org/10.1016/s0741-5214(98)70029-1.
Sreekumar, R, Halvatsiotis, P, Schimke, JC, Nair, KS. Gene expression profile in skeletal muscle of type 2 diabetes and the effect of insulin treatment. Diabetes 2002;51:1913–20. https://doi.org/10.2337/diabetes.51.6.1913.
Dietrich, S, Jacobs, S, Zheng, J-S, Meidtner, K, Schwingshackl, L, Schulze, MB. Gene-lifestyle interaction on risk of type 2 diabetes: a systematic review. Obes Rev Off J Int Assoc Study Obes 2019;20:1557–71. https://doi.org/10.1111/obr.12921.
Chiarelli, F, Marcovecchio, ML. Insulin resistance and obesity in childhood. Eur J Endocrinol 2008;159:S67–74. https://doi.org/10.1530/eje-08-0245.
Lee, JM, Okumura, MJ, Davis, MM, Herman, WH, Gurney, JG. Prevalence and determinants of insulin resistance among U.S. Adolescents: a population-based study. Diabetes Care 2006;29:2427–32. https://doi.org/10.2337/dc06-0709.
Valerio, G, Licenziati, MR, Iannuzzi, A, Franzese, A, Siani, P, Riccardi, G, et al.. Insulin resistance and impaired glucose tolerance in obese children and adolescents from Southern Italy. Nutr Metab Cardiovasc Dis NMCD 2006;16:279–84. https://doi.org/10.1016/j.numecd.2005.12.007.
Wang, T, Huang, T, Zheng, Y, Rood, J, Bray, GA, Sacks, FM, et al.. Genetic variation of fasting glucose and changes in glycemia in response to 2-year weight-loss diet intervention: the POUNDS Lost trial. Int J Obes 2016;40:1164–9. https://doi.org/10.1038/ijo.2016.41.
Lindström, J, Tuomilehto, J. The Diabetes Risk Score: a practical tool to predict type 2 diabetes risk. Diabetes Care 2003;26:725–31.
Hippisley-Cox, J, Coupland, C. Development and validation of QDiabetes-2018 risk prediction algorithm to estimate future risk of type 2 diabetes: cohort study. BMJ 2017;359:j5019. https://doi.org/10.1136/bmj.j5019.
Chen, L, Magliano, DJ, Balkau, B, Colagiuri, S, Zimmet, PZ, Tonkin, AM, et al.. AUSDRISK: an Australian Type 2 Diabetes Risk Assessment Tool based on demographic, lifestyle and simple anthropometric measures. Med J Aust 2010;192:274. https://doi.org/10.5694/j.1326-5377.2010.tb03507.x.
Robinson, CA, Agarwal, G, Nerenberg, K. Validating the CANRISK prognostic model for assessing diabetes risk in Canada’s multi-ethnic population. Chronic Dis Inj Can 2011;32:13. https://doi.org/10.24095/hpcdp.32.1.04.
Moreno, LA, De Henauw, S, González-Gross, M, Kersting, M, Molnár, D, Gottrand, F, et al.. Design and implementation of the healthy lifestyle in Europe by nutrition in adolescence cross-sectional study. Int J Obes 2008;32:S4–11. https://doi.org/10.1038/ijo.2008.177.
Moreno, LA, Gottrand, F, Huybrechts, I, Ruiz, JR, González-Gross, M, DeHenauw, S, et al.. Nutrition and lifestyle in European adolescents: the HELENA (healthy lifestyle in Europe by nutrition in adolescence) study. Adv Nutr 2014;5:615S–23S. https://doi.org/10.3945/an.113.005678.
Béghin, L, Castera, M, Manios, Y, Gilbert, CC, Kersting, M, De Henauw, S, et al.. Quality assurance of ethical issues and regulatory aspects relating to good clinical practices in the HELENA Cross-Sectional Study. Int J Obes 2008;32:S12–8. https://doi.org/10.1038/ijo.2008.179.
Nagy, E, Vicente-Rodriguez, G, Manios, Y, Béghin, L, Iliescu, C, Censi, L, et al.. Harmonization process and reliability assessment of anthropometric measurements in a multicenter study in adolescents. Int J Obes 2008;32:S58–65. https://doi.org/10.1038/ijo.2008.184.
Cole, TJ, Bellizzi, MC, Flegal, KM, Dietz, WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 2000;320:1240–3. https://doi.org/10.1136/bmj.320.7244.1240.
World Obesity Federation. Extended International (IOTF) body mass index cut-offs for thinness, overweight and obesity in children n.d. https://www.worldobesity.org/about/about-obesity/obesity-classification [Accessed 4 Apr 2022].
Tanner, JM, Whitehouse, RH. Clinical longitudinal standards for height, weight, height velocity, weight velocity, and stages of puberty. Arch Dis Child 1976;51:170–9. https://doi.org/10.1136/adc.51.3.170.
Gätjens, I, Schmidt, SCE, Plachta-Danielzik, S, Bosy-Westphal, A, Müller, MJ. Body composition characteristics of a load-capacity model: age-dependent and sex-specific percentiles in 5- to 17-year-old children. Obes Facts 2021;14:593–603. https://doi.org/10.1159/000518638.
Hagströmer, M, Bergman, P, De Bourdeaudhuij, I, Ortega, FB, Ruiz, JR, Manios, Y, et al.. Concurrent validity of a modified version of the international physical activity questionnaire (IPAQ-A) in European adolescents: the HELENA study. Int J Obes 2008;32(5 Suppl):S42–8. https://doi.org/10.1038/ijo.2008.182.
Ortega, FB, Artero, EG, Ruiz, JR, Vicente-Rodriguez, G, Bergman, P, Hagströmer, M, et al.. Reliability of health-related physical fitness tests in European adolescents. The HELENA Study. Int J Obes 2008;32:S49–57. https://doi.org/10.1038/ijo.2008.183.
Léger, LA, Mercier, D, Gadoury, C, Lambert, J. The multistage 20 metre shuttle run test for aerobic fitness. J Sports Sci 1988;6:93–101. https://doi.org/10.1080/02640418808729800.
Tomkinson, GR, Lang, JJ, Tremblay, MS, Dale, M, LeBlanc, AG, Belanger, K, et al.. International normative 20 m shuttle run values from 1 142 026 children and youth representing 50 countries. Br J Sports Med 2017;51:1545–54. https://doi.org/10.1136/bjsports-2016-095987.
Welk, GJ, Laurson, KR, Eisenmann, JC, Cureton, KJ. Development of youth aerobic-capacity standards using receiver operating characteristic curves. Am J Prev Med 2011;41:S111–6. https://doi.org/10.1016/j.amepre.2011.07.007.
Matthews, DR, Hosker, JP, Rudenski, AS, Naylor, BA, Treacher, DF, Turner, RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985;28:412–9. https://doi.org/10.1007/bf00280883.
González-Gross, M, Breidenassel, C, Gómez-Martínez, S, Ferrari, M, Béghin, L, Spinneker, A, et al.. Sampling and processing of fresh blood samples within a European multicenter nutritional study: evaluation of biomarker stability during transport and storage. Int J Obes 2008;32(5 Suppl):S66–75. https://doi.org/10.1038/ijo.2008.185.
R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2021.
Panagiotopoulos, C, Hadjiyannakis, S, Henderson, M. Type 2 diabetes in children and adolescents. Can J Diabetes 2018;42:S247–54. https://doi.org/10.1016/j.jcjd.2017.10.037.
World Health Organization; International Diabetes Federation. Definition and diagnosis of diabetes mellitus and intermediate hyperglycaemia: report of a WHO/IDF consultation. Geneva, Switzerland: World Health Organization; 2006.
Fonseca, VA. Early identification and treatment of insulin resistance: impact on subsequent prediabetes and type 2 diabetes. Clin Cornerstone 2007;8:S7–18. https://doi.org/10.1016/s1098-3597(07)80017-2.
Hanley, AJG, Williams, K, Stern, MP, Haffner, SM. Homeostasis model assessment of insulin resistance in relation to the incidence of cardiovascular disease: the San Antonio heart study. Diabetes Care 2002;25:1177–84. https://doi.org/10.2337/diacare.25.7.1177.
Herman, WH, Hoerger, TJ, Brandle, M, Hicks, K, Sorensen, S, Zhang, P, et al.. The cost-effectiveness of lifestyle modification or metformin in preventing type 2 diabetes in adults with impaired glucose tolerance. Ann Intern Med 2005;142:323–32. https://doi.org/10.7326/0003-4819-142-5-200503010-00007.
Costa, B, Barrio, F, Piñol, JL, Cabré, JJ, Mundet, X, Sagarra, R, et al.. Shifting from glucose diagnosis to the new HbA1c diagnosis reduces the capability of the Finnish Diabetes Risk Score (FINDRISC) to screen for glucose abnormalities within a real-life primary healthcare preventive strategy. BMC Med 2013;11:45. https://doi.org/10.1186/1741-7015-11-45.
Franciosi, M, Berardis, GD, Rossi, MCE, Sacco, M, Belfiglio, M, Pellegrini, F, et al.. Use of the diabetes risk score for opportunistic screening of undiagnosed diabetes and impaired glucose tolerance: the IGLOO (impaired glucose tolerance and long-term outcomes observational) study. Diabetes Care 2005;28:1187–94. https://doi.org/10.2337/diacare.28.5.1187.
Makrilakis, K, Liatis, S, Grammatikou, S, Perrea, D, Stathi, C, Tsiligros, P, et al.. Validation of the Finnish diabetes risk score (FINDRISC) questionnaire for screening for undiagnosed type 2 diabetes, dysglycaemia and the metabolic syndrome in Greece. Diabetes Metab 2011;37:144–51. https://doi.org/10.1016/j.diabet.2010.09.006.
Tankova, T, Chakarova, N, Atanassova, I, Dakovska, L. Evaluation of the Finnish Diabetes Risk Score as a screening tool for impaired fasting glucose, impaired glucose tolerance and undetected diabetes. Diabetes Res Clin Pract 2011;92:46–52. https://doi.org/10.1016/j.diabres.2010.12.020.
Mavrogianni, C, Lambrinou, C-P, Androutsos, O, Lindström, J, Kivelä, J, Cardon, G, et al.. Evaluation of the Finnish Diabetes Risk Score as a screening tool for undiagnosed type 2 diabetes and dysglycaemia among early middle-aged adults in a large-scale European cohort. The Feel4Diabetes-study. Diabetes Res Clin Pract 2019;150:99–110. https://doi.org/10.1016/j.diabres.2019.02.017.
Gomez-Arbelaez, D, Alvarado-Jurado, L, Ayala-Castillo, M, Forero-Naranjo, L, Camacho, PA, Lopez-Jaramillo, P. Evaluation of the Finnish Diabetes Risk Score to predict type 2 diabetes mellitus in a Colombian population: a longitudinal observational study. World J Diabetes 2015;6:1337–44. https://doi.org/10.4239/wjd.v6.i17.1337.
Gray, LJ, Taub, NA, Khunti, K, Gardiner, E, Hiles, S, Webb, DR, et al.. The Leicester Risk Assessment score for detecting undiagnosed Type 2 diabetes and impaired glucose regulation for use in a multiethnic UK setting. Diabet Med 2010;27:887–95. https://doi.org/10.1111/j.1464-5491.2010.03037.x.