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Gestational Diabetes Detection Thresholds and Infant Growth, Nutrition, and Neurodevelopment at 12–18 Months: A Prospective Cohort Study Within a Randomized Trial

Authors

Amitrano, F
Manerkar, K
Alsweiler, JM
Conlon, CA
Crowther, CA
Edlin, R
Harding, JE
McCowan, LME
Meyer, MP
Rowan, JA

Supervisor

Item type

Journal Article

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Journal Title

Journal ISSN

Volume Title

Publisher

Springer Science and Business Media LLC

Abstract

Objective: To assess the impact of gestational diabetes(GDM) detection thresholds on infant growth, nutrition, and neurodevelopment at 12-18 months. Design: Prospective cohort study within the GEMS trial(ACTRN12615000290594), which randomized pregnant women to detection of GDM using lower or higher glycemic criteria. The main outcomes were overweight/rapid weight gain; food approach appetitive score; energy intake; cognitive z-score. Result: Compared to control infants, those exposed to GDM detected and treated by higher criteria or by lower but not higher criteria that was untreated, were less likely to have increased overweight/rapid weight gain, possibly with lower energy intake. There were no important differences in appetite and cognition. Infants exposed to GDM by lower but not higher criteria that was treated were similar to controls. Conclusion: Exposure to treated GDM or untreated GDM detected by lower but not higher criteria, was not associated with increased infant risk factors for obesity or adverse cognitive outcomes.

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Keywords

32 Biomedical and Clinical Sciences, 3210 Nutrition and Dietetics, Diabetes, Pediatric, Prevention, Behavioral and Social Science, Perinatal Period - Conditions Originating in Perinatal Period, Clinical Research, Obesity, Conditions Affecting the Embryonic and Fetal Periods, Nutrition, Clinical Trials and Supportive Activities, Women's Health, Reproductive health and childbirth, Cardiovascular, Metabolic and endocrine, 1103 Clinical Sciences, 1114 Paediatrics and Reproductive Medicine, Pediatrics, 3213 Paediatrics

Source

Journal of Perinatology, ISSN: 0743-8346 (Print); 1476-5543 (Online), Springer Science and Business Media LLC, 1-10. doi: 10.1038/s41372-025-02406-x

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