Skip to main content
Top
Published in: Diabetologia 4/2019

01-04-2019 | Obesity | Article

Maternal glucose levels during pregnancy and childhood adiposity in the Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study

Authors: William L. Lowe Jr, Lynn P. Lowe, Alan Kuang, Patrick M. Catalano, Michael Nodzenski, Octavious Talbot, Wing-Hung Tam, David A. Sacks, David McCance, Barbara Linder, Yael Lebenthal, Jean M. Lawrence, Michele Lashley, Jami L. Josefson, Jill Hamilton, Chaicharn Deerochanawong, Peter Clayton, Wendy J. Brickman, Alan R. Dyer, Denise M. Scholtens, Boyd E. Metzger, on behalf of the HAPO Follow-up Study Cooperative Research Group

Published in: Diabetologia | Issue 4/2019

Login to get access

Abstract

Aims/hypothesis

Maternal type 2 diabetes during pregnancy and gestational diabetes are associated with childhood adiposity; however, associations of lower maternal glucose levels during pregnancy with childhood adiposity, independent of maternal BMI, remain less clear. The objective was to examine associations of maternal glucose levels during pregnancy with childhood adiposity in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) cohort.

Methods

The HAPO Study was an observational epidemiological international multi-ethnic investigation that established strong associations of glucose levels during pregnancy with multiple adverse perinatal outcomes. The HAPO Follow-up Study (HAPO FUS) included 4832 children from ten HAPO centres whose mothers had a 75 g OGTT at ~28 weeks gestation 10–14 years earlier, with glucose values blinded to participants and clinical caregivers. The primary outcome was child adiposity, including: (1) being overweight/obese according to sex- and age-specific cut-offs based on the International Obesity Task Force (IOTF) criteria; (2) IOTF-defined obesity only; and (3) measurements >85th percentile for sum of skinfolds, waist circumference and per cent body fat. Primary predictors were maternal OGTT and HbA1c values during pregnancy.

Results

Fully adjusted models that included maternal BMI at pregnancy OGTT indicated positive associations between maternal glucose predictors and child adiposity outcomes. For one SD difference in pregnancy glucose and HbA1c measures, ORs for each child adiposity outcome were in the range of 1.05–1.16 for maternal fasting glucose, 1.11–1.19 for 1 h glucose, 1.09–1.21 for 2 h glucose and 1.12–1.21 for HbA1c. Associations were significant, except for associations of maternal fasting glucose with offspring being overweight/obese or having waist circumference >85th percentile. Linearity was confirmed in all adjusted models. Exploratory sex-specific analyses indicated generally consistent associations for boys and girls.

Conclusions/interpretation

Exposure to higher levels of glucose in utero is independently associated with childhood adiposity, including being overweight/obese, obesity, skinfold thickness, per cent body fat and waist circumference. Glucose levels less than those diagnostic of diabetes are associated with greater childhood adiposity; this may have implications for long-term metabolic health.
Appendix
Available only for authorised users
Literature
3.
go back to reference Silverman BL, Rizzo TA, Cho NH, Metzger BE (1998) Long-term effects of the intrauterine environment. The Northwestern University Diabetes in Pregnancy Center. Diabetes Care 21(Suppl 2):B142–B149PubMed Silverman BL, Rizzo TA, Cho NH, Metzger BE (1998) Long-term effects of the intrauterine environment. The Northwestern University Diabetes in Pregnancy Center. Diabetes Care 21(Suppl 2):B142–B149PubMed
5.
go back to reference HAPO Study Cooperative Research Group (2010) Hyperglycaemia and Adverse Pregnancy Outcome (HAPO) Study: associations with maternal body mass index. BJOG 117(5):575–584 HAPO Study Cooperative Research Group (2010) Hyperglycaemia and Adverse Pregnancy Outcome (HAPO) Study: associations with maternal body mass index. BJOG 117(5):575–584
10.
go back to reference Kim SY, England JL, Sharma JA, Njoroge T (2011) Gestational diabetes mellitus and risk of childhood overweight and obesity in offspring: a systematic review. Exp Diabetes Res 2011:541308CrossRefPubMedPubMedCentral Kim SY, England JL, Sharma JA, Njoroge T (2011) Gestational diabetes mellitus and risk of childhood overweight and obesity in offspring: a systematic review. Exp Diabetes Res 2011:541308CrossRefPubMedPubMedCentral
14.
go back to reference International Association of Diabetes and Pregnancy Study Groups Consensus Panel (2010) International association of diabetes and pregnancy groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care 33: 676–682 International Association of Diabetes and Pregnancy Study Groups Consensus Panel (2010) International association of diabetes and pregnancy groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care 33: 676–682
15.
go back to reference World Health Organization (2014) Diagnostic criteria and classification of hyperglycaemia first detected in pregnancy: a World Health Organization Guideline. Diabetes Res Clin Pract 103: 341–363 World Health Organization (2014) Diagnostic criteria and classification of hyperglycaemia first detected in pregnancy: a World Health Organization Guideline. Diabetes Res Clin Pract 103: 341–363
17.
go back to reference HAPO Study Cooperative Research Group (2002) The Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. Int J Gynaecol Obstet 78:69–77 HAPO Study Cooperative Research Group (2002) The Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. Int J Gynaecol Obstet 78:69–77
22.
go back to reference Van Buuren S, Groothuis-Oudshoorn K (2011) Multivariate imputation by chained equations in R. J Stat Softw 45:1–67CrossRef Van Buuren S, Groothuis-Oudshoorn K (2011) Multivariate imputation by chained equations in R. J Stat Softw 45:1–67CrossRef
24.
go back to reference Harrell Jr. FE (2018) rms: Regression Modeling Strategies. R package version 51-2 (accessed June 2018) Harrell Jr. FE (2018) rms: Regression Modeling Strategies. R package version 51-2 (accessed June 2018)
25.
go back to reference R Core Team (2016) A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. Available from www.R-project.org. Accessed 5 July 2017 R Core Team (2016) A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. Available from www.​R-project.​org. Accessed 5 July 2017
43.
go back to reference Krishnaveni GV, Veena SR, Hill JC, Kehoe S, Karat SC, Fall CH (2010) Intrauterine exposure to maternal diabetes is associated with higher adiposity and insulin resistance and clustering of cardiovascular risk markers in Indian children. Diabetes Care 33(2):402–404. https://doi.org/10.2337/dc09-1393 CrossRefPubMed Krishnaveni GV, Veena SR, Hill JC, Kehoe S, Karat SC, Fall CH (2010) Intrauterine exposure to maternal diabetes is associated with higher adiposity and insulin resistance and clustering of cardiovascular risk markers in Indian children. Diabetes Care 33(2):402–404. https://​doi.​org/​10.​2337/​dc09-1393 CrossRefPubMed
Metadata
Title
Maternal glucose levels during pregnancy and childhood adiposity in the Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study
Authors
William L. Lowe Jr
Lynn P. Lowe
Alan Kuang
Patrick M. Catalano
Michael Nodzenski
Octavious Talbot
Wing-Hung Tam
David A. Sacks
David McCance
Barbara Linder
Yael Lebenthal
Jean M. Lawrence
Michele Lashley
Jami L. Josefson
Jill Hamilton
Chaicharn Deerochanawong
Peter Clayton
Wendy J. Brickman
Alan R. Dyer
Denise M. Scholtens
Boyd E. Metzger
on behalf of the HAPO Follow-up Study Cooperative Research Group
Publication date
01-04-2019
Publisher
Springer Berlin Heidelberg
Published in
Diabetologia / Issue 4/2019
Print ISSN: 0012-186X
Electronic ISSN: 1432-0428
DOI
https://doi.org/10.1007/s00125-018-4809-6

Other articles of this Issue 4/2019

Diabetologia 4/2019 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.