Literature DB >> 19236613

HbA(1c) levels in non-diabetic Dutch children aged 8-9 years: the PIAMA birth cohort study.

H Jansen1, A H Wijga, H A Smit, S Scholtens, M Kerkhof, G H Koppelman, J C de Jongste, R P Stolk.   

Abstract

AIM: Glycated haemoglobin (HbA(1c)) is considered the best index of glycaemic control in established diabetes. It may also be useful in the diagnosis of diabetes and as a screening tool. Little is known about the distribution of HbA(1c) in healthy children and its predictors. The aim of this study is to describe the distribution of HbA(1c) in non-diabetic Dutch children aged 8-9 years and to investigate potential associations of HbA(1c) in this group.
METHODS: HbA(1c) was measured in 788 non-diabetic children aged 8-9 years participating in the PIAMA birth cohort study. Data on parents and children were collected prospectively by questionnaires. Weight, height and waist and hip circumference of the children were measured when blood samples were taken.
RESULTS: Mean (SD) HbA(1c) was 4.9 +/- 0.33%, range 3.5-6.0%. HbA(1c) was significantly higher in boys (4.9 +/- 0.31 vs. 4.9 +/- 0.33%) and in children of mothers with gestational diabetes (5.0 +/- 0.37 vs. 4.9 +/- 0.32%). We found a significant inverse association between HbA(1c) and haemoglobin (regression coefficient: -0.169 (95% CI -0.221 to -0.118), P < 0.001). HbA(1c) was not significantly associated with age, body mass index, waist circumference, parental diabetes or maternal body mass index.
CONCLUSIONS: We found no significant relation between known risk factors for Type 2 diabetes and HbA(1c) at age 8-9 years. Moreover, there was a significant inverse association between haemoglobin and HbA(1c). These results suggest that HbA(1c) may not only reflect the preceding blood glucose levels, but seems to be determined by other factors as well.

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Year:  2009        PMID: 19236613     DOI: 10.1111/j.1464-5491.2008.02641.x

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  4 in total

1.  Ability among adolescents for the metabolic syndrome to predict elevations in factors associated with type 2 diabetes and cardiovascular disease: data from the national health and nutrition examination survey 1999-2006.

Authors:  Mark D DeBoer; Matthew J Gurka
Journal:  Metab Syndr Relat Disord       Date:  2010-08       Impact factor: 1.894

2.  HbA1c in nondiabetic Dutch infants aged 8-12 months: the GECKO-Drenthe birth cohort study.

Authors:  Hanneke Jansen; Haika G Huiting; Salome Scholtens; Pieter J J Sauer; Ronald P Stolk
Journal:  Diabetes Care       Date:  2011-02       Impact factor: 19.112

3.  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.

Authors:  Hanneke Jansen; Alet H Wijga; Salome Scholtens; Gerard H Koppelman; Dirkje S Postma; Bert Brunekreef; Johan C de Jongste; Henriëtte A Smit; Ronald P Stolk
Journal:  PLoS One       Date:  2015-04-13       Impact factor: 3.240

4.  Distribution of glycated haemoglobin and its determinants in Korean youth and young adults: a nationwide population-based study.

Authors:  Ji-Young Seo; Seung-Sik Hwang; Jae Hyun Kim; Young Ah Lee; Seong Yong Lee; Choong Ho Shin; Sei Won Yang
Journal:  Sci Rep       Date:  2018-01-31       Impact factor: 4.379

  4 in total

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