HbA1c percentiles and the association between BMI, age, gender, puberty, and HbA1c levels in healthy German children and adolescents.


Journal

Pediatric diabetes
ISSN: 1399-5448
Titre abrégé: Pediatr Diabetes
Pays: Denmark
ID NLM: 100939345

Informations de publication

Date de publication:
03 2022
Historique:
revised: 12 10 2021
received: 08 07 2021
accepted: 24 11 2021
pubmed: 9 12 2021
medline: 11 3 2022
entrez: 8 12 2021
Statut: ppublish

Résumé

The measurement of glycated hemoglobin (HbA1c) represents one way to detect type 1 and 2 diabetes in children at an early stage. However, to date, variations in HbA1c levels are not fully understood, even in healthy children. With this in mind, the present study aimed to establish HbA1c reference values in healthy children and to investigate the influence of various independent variables. Two thousand four hundred fifty-five healthy children and adolescents aged between 0.5 and 18 years participated in the population-based cohort study LIFE Child, Germany. Age- and gender-dependent percentiles were estimated, enabling HbA1c values to be converted into standard deviation scores (SDS). Logistic regression models were applied to assess associations between HbA1c-SDS (as outcome) and age, gender, BMI, birth weight, physical activity, pubertal status, and socioeconomic status (SES; as explanatory variables). The mean HbA1c value was 31.79 mmol/mol or 5.06% (SD = 3.3 mmol/mol, SD = 0.3%). Positive associations with HbA1c values were identified for age (b = 0.09, p < 0.001), gender (b = 0.25, p = 0.007), and BMI-SDS (b = 0.06, p < 0.001). In addition, obesity was related to higher HbA1c values (b = 0.29, p < 0.001). Compared to prepuberty, the pubertal and postpubertal stages were associated with higher HbA1c levels. Furthermore, higher SES was associated with higher HbA1c-SDS (b = 0.01, p = 0.04). The present study established HbA1c reference values based on a large sample of healthy German children and adolescents. Age, gender, SES, pubertal stage, and BMI were found to be associated with higher HbA1c levels.

Identifiants

pubmed: 34877761
doi: 10.1111/pedi.13297
doi:

Substances chimiques

Glycated Hemoglobin A 0
hemoglobin A1c protein, human 0

Banques de données

ClinicalTrials.gov
['NCT02550236']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

194-202

Informations de copyright

© 2021 The Authors. Pediatric Diabetes published by John Wiley & Sons Ltd.

Références

Reinehr T. Type 2 diabetes mellitus in children and adolescents. World J Diabetes. 2013;4(6):270-281. doi:10.4239/wjd.v4.i6.270
Patterson CC, Karuranga S, Salpea P, et al. Worldwide estimates of incidence, prevalence and mortality of type 1 diabetes in children and adolescents: results from the international diabetes federation diabetes atlas, 9th edition. Diabetes Res Clin Pract. 2019;157:107842. doi:10.1016/j.diabres.2019.107842
Ehehalt S, Wiegand S, Körner A, et al. Diabetes screening in overweight and obese children and adolescents: choosing the right test. Eur J Pediatr. 2017;176(1):89-97. doi:10.1007/s00431-016-2807-6
American Diabetes Association. 2. Classification and diagnosis of diabetes: standards of medical Care in Diabetes-2020. Diabetes Care. 2020;43(1):S14-S31. doi:10.2337/dc20-S002
Vijayakumar P, Nelson RG, Hanson RL, Knowler WC, Sinha M. HbA1c and the prediction of type 2 diabetes in children and adults. Diabetes Care. 2017;40(1):16-21. doi:10.2337/dc16-1358
Peplies J, Savva SC, Buck C, et al. Percentiles of fasting serum insulin, glucose, HbA1c and HOMA-IR in pre-pubertal normal weight European children from the IDEFICS cohort. Int J Obes (Lond). 2014;38(S2):S39-S47. doi:10.1038/ijo.2014.134
Rödöö P, Ridefelt P, Aldrimer M, Niklasson F, Gustafsson J, Hellberg D. Population-based pediatric reference intervals for HbA1c, bilirubin, albumin, CRP, myoglobin and serum enzymes. Scand J Clin Lab Invest. 2013;73(5):361-367. doi:10.3109/00365513.2013.783931
Saaddine JB, Fagot-Campagna A, Rolka D, et al. Distribution of HbA(1c) levels for children and young adults in the U.S.: third National Health and Nutrition Examination Survey. Diabetes Care. 2002;25(8):1326-1330.
Seo J-Y, Hwang S-S, Kim JH, et al. Distribution of glycated haemoglobin and its determinants in Korean youth and young adults: a nationwide population-based study. Sci Rep. 2018;8(1):1962. doi:10.1038/s41598-018-20274-8
Dortschy R, Robert-Koch-Institut, eds. Bevölkerungsbezogene Verteilungswerte ausgewählter Laborparameter aus der Studie zur Gesundheit von Kindern und Jugendlichen in Deutschland (KiGGS); 2009.
Jansen H, Wijga AH, Scholtens S, et al. Change in HbA1c levels between the age of 8 years and the age of 12 years in Dutch children without diabetes: the PIAMA birth cohort study. PloS One. 2015;10(4):0119615. doi:10.1371/journal.pone.0119615
Shultis WA, Leary SD, Ness AR, et al. Haemoglobin A1c is not a surrogate for glucose and insulin measures for investigating the early life and childhood determinants of insulin resistance and type 2 diabetes in healthy children. An analysis from the Avon Longitudinal Study of Parents and Children (ALSPAC). Diabet Med J Br Diabet Assoc. 2006;23(12):1357-1363. doi:10.1111/j.1464-5491.2006.01990.x
Noce A. HbA1c: gender differences in non-diabetic young population. Biomed J Sci Tech Res. 2019;16(2):11981-11984. doi:10.26717/BJSTR.2019.16.002838
Boeing H, Weisgerber UM, Jeckel A, Rose HJ, Kroke A. Association between glycated hemoglobin and diet and other lifestyle factors in a nondiabetic population: cross-sectional evaluation of data from the Potsdam cohort of the European Prospective Investigation into Cancer and Nutrition Study. Am J Clin Nutr. 2000;71(5):1115-1122.
Eldeirawi K, Lipton RB. Predictors of hemoglobin A1c in a national sample of nondiabetic children: the third National Health and nutrition examination survey, 1988-1994. Am J Epidemiol. 2003;157(7):624-632.
Pettitt DJ, Giammattei J, Wollitzer AO, Jovanovic L. Glycohemoglobin (A1C) distribution in school children: results from a school-based screening program. Diabetes Res Clin Pract. 2004;65(1):45-49. doi:10.1016/j.diabres.2003.11.010
Cooper AR, Goodman A, Page AS, et al. Objectively measured physical activity and sedentary time in youth: the international children's accelerometry database (ICAD). Int J Behav Nutr Phys Act. 2015;12(1):113. doi:10.1186/s12966-015-0274-5
Beraki Å, Magnuson A, Särnblad S, Åman J, Samuelsson U. Increase in physical activity is associated with lower HbA1c levels in children and adolescents with type 1 diabetes: results from a cross-sectional study based on the Swedish pediatric diabetes quality registry (SWEDIABKIDS). Diabetes Res Clin Pract. 2014;105(1):119-125. doi:10.1016/j.diabres.2014.01.029
Dannemann A, Ernert A, Rücker P, Babitsch B, Wiegand S. Adipositas bei Kindern und Jugendlichen-Einfluss von Migrationshintergrund und Bildung der Eltern auf das Auftreten eines metabolischen Syndroms. Bundesgesundheitsblatt-Gesundheitsforschung-Gesundheitsschutz. 2011;54(5):636-641. doi:10.1007/s00103-011-1258-5
Cho YH, Craig ME, Donaghue KC. Puberty as an accelerator for diabetes complications: puberty as an accelerator for diabetes complications. Pediatr Diabetes. 2014;15(1):18-26. doi:10.1111/pedi.12112
Pereira KCX, Pugliese BS, Guimarães MM, Gama MP. Pubertal development in children diagnosed with diabetes mellitus type 1 before puberty. J Pediatr Adolesc Gynecol. 2015;28(1):66-71.
Quante M, Hesse M, Dohnert M, et al. The LIFE child study: a LIFE course approach to disease and health. BMC Public Health. 2012;12:1021. doi:10.1186/1471-2458-12-1021
Poulain T, Vogel M, Pietzner D, et al. The LIFE child study: a population-based perinatal and pediatric cohort in Germany. Eur J Epidemiol. 2017;32(2):145-158. doi:10.1007/s10654-016-0216-9
Kromeyer-Hauschild K, Wabitsch M, Kunze D, et al. Perzentile für den Body-mass-Index für das Kindes- und Jugendalter unter Heranziehung verschiedener deutscher Stichproben. Monatsschr Kinderheilkd. 2001;149(8):807-818. doi:10.1007/s001120170107
Reinehr T, Holl RW, Wabitsch M. The German working group of obesity in childhood and adolescence (AGA): improving the quality of care for overweight and obese children in Germany. Obes Facts. 2008;1(1):26-32. doi:10.1159/000113405
Marshall WA, Tanner JM. Variations in pattern of pubertal changes in girls. Arch Dis Child. 1969;44(235):291-303.
Marshall WA, Tanner JM. Variations in the pattern of pubertal changes in boys. Arch Dis Child. 1970;45(239):13-23.
Equivalised Disposable Income; 2021. https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:Equivalised_disposable_income
Lampert T, Stolzenberg H, Kroll LE. Messung des sozioökonomischen Status in der KiGGS-Studie: Erste Folgebefragung (KiGGS Welle 1). Bundesgesundheitsblatt-Gesundheitsforschung-Gesundheitsschutz. 2014;57(7):762-770. doi:10.1007/s00103-014-1974-8
R Core Team. R: a language and environment for statistical computing; 2018. https://www.R-project.org/}
Vogel M, Kirsten T, Kratzsch J, Engel C, Kiess W. A combined approach to generate laboratory reference intervals using unbalanced longitudinal data. J Pediatr Endocrinol Metab. 2017;30(7):767-773. doi:10.1515/jpem-2017-0171
Bates D, Mächler M, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. J Stat Softw. 2015;67(1):1-48. doi:10.18637/jss.v067.i01
Szoke E, Shrayyef MZ, Messing S, et al. Effect of aging on glucose homeostasis: accelerated deterioration of cell function in individuals with impaired glucose tolerance. Diabetes Care. 2008;31(3):539-543. doi:10.2337/dc07-1443
Rhee MK, Ziemer DC, Kolm P, Phillips LS. Postchallenge glucose rises with increasing age even when glucose tolerance is normal. Diabet Med. 2006;23(11):1174-1179. doi:10.1111/j.1464-5491.2006.01956.x
Gupta M, Gupta R, Pareek A, Bhatia R, Kaul V. Low birth weight and insulin resistance in mid and late childhood. Indian Pediatr. 2007;44(3):177-184.
Forrester TE, Wilks RJ, Bennett FI, et al. Fetal growth and cardiovascular risk factors in Jamaican schoolchildren. BMJ. 1996;312(7024):156-160.
Goran MI, Gower BA. Longitudinal study on pubertal insulin resistance. Diabetes. 2001;50(11):2444-2450. doi:10.2337/diabetes.50.11.2444
Kelsey MM, Zeitler PS. Insulin resistance of puberty. Curr Diab Rep. 2016;16(7). doi:10.1007/s11892-016-0751-5
Rosenbloom AL, Rohrs HJ, Haller MJ, Malasanos TH. Tanner stage 4 breast development in adults: forensic implications. Pediatrics. 2012;130(4):e978-e981. doi:10.1542/peds.2011-3122
Kelly SJ, Stedman J, Leonardi-Bee J. Is hemoglobin A1c level associated with measures of socio-economic status in non-diabetics after controlling for known explanatory factors? Stress Health. 2005;21(3):185-192. doi:10.1002/smi.1052
Vliegenthart J, Noppe G, van Rossum EFC, Koper JW, Raat H, van den Akker ELT. Socioeconomic status in children is associated with hair cortisol levels as a biological measure of chronic stress. Psychoneuroendocrinology. 2016;65:9-14. doi:10.1016/j.psyneuen.2015.11.022
Cohen RM, Snieder H, Lindsell CJ, et al. Evidence for independent heritability of the glycation gap (glycosylation gap) fraction of HbA1c in nondiabetic twins. Diabetes Care. 2006;29(8):1739-1743. doi:10.2337/dc06-0286
Khera PK, Joiner CH, Carruthers A, et al. Evidence for interindividual heterogeneity in the glucose gradient across the human red blood cell membrane and its relationship to hemoglobin glycation. Diabetes. 2008;57(9):2445-2452. doi:10.2337/db07-1820

Auteurs

Ina Hovestadt (I)

LIFE Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany.

Wieland Kiess (W)

LIFE Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany.
Center for Pediatric Research, Hospital for Children and Adolescents, Leipzig University, Leipzig, Germany.

Christiane Lewien (C)

LIFE Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany.

Anja Willenberg (A)

Institute for Laboratory Medicine (ILM), Leipzig University, Leipzig, Germany.

Tanja Poulain (T)

LIFE Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany.
Center for Pediatric Research, Hospital for Children and Adolescents, Leipzig University, Leipzig, Germany.

Christof Meigen (C)

LIFE Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany.

Antje Körner (A)

LIFE Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany.
Center for Pediatric Research, Hospital for Children and Adolescents, Leipzig University, Leipzig, Germany.

Mandy Vogel (M)

LIFE Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany.
Center for Pediatric Research, Hospital for Children and Adolescents, Leipzig University, Leipzig, Germany.

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