Neonatal Outcomes Following a Preconception Lifestyle Intervention in People at Risk of Gestational Diabetes:

Md Abu Jafar Sujan1,2, Hanna Skarstad1, Guro Rosvold1

  • 1Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, 7491 Trondheim, Norway.

Nutrients
|November 13, 2025
PubMed

Insights

A preconception lifestyle intervention did not significantly reduce the risk of high birth weight (macrosomia) or affect neonatal body composition in women at risk for gestational diabetes mellitus (GDM). Further research is needed to explore effective interventions.

Area of Science:

  • Obstetrics and Gynecology
  • Neonatal Health
  • Metabolic Disorders

Background:

  • Gestational diabetes mellitus (GDM) and maternal overweight/obesity are linked to adverse neonatal outcomes, including macrosomia and increased adiposity.
  • Effective interventions to mitigate these risks are crucial for improving maternal and infant health.
  • Preconception lifestyle modifications are a potential strategy to address these risks before and during pregnancy.

Purpose of the Study:

  • To evaluate the impact of a preconception lifestyle intervention on neonatal birth weight, birth-related outcomes, and body composition.
  • To assess the effectiveness of time-restricted eating and exercise training initiated before pregnancy and continued throughout gestation.
  • To determine the intervention's effect on the primary outcome of infant birth weight exceeding 4.0 kg.

Main Methods:

  • A randomized controlled trial (BEFORE THE BEGINNING) allocated 167 participants at risk for GDM to either a lifestyle intervention or a control group.
  • The intervention involved time-restricted eating (≤10 hours/day, ≥5 days/week) and exercise training (≥100 weekly PAI points).
  • Neonatal outcomes, including birth weight and body composition at birth and 6-8 weeks postpartum, were analyzed.

Main Results:

  • No significant difference was observed in the proportion of infants with birth weight > 4.0 kg between the intervention (21%) and control (28%) groups (p=0.367).
  • Mean birth weight did not differ significantly between the groups (mean difference -159.3 g, p=0.148).
  • No significant between-group differences were found for other neonatal, birth-related, or early postnatal body composition outcomes.

Conclusions:

  • This secondary analysis found no evidence that the preconception lifestyle intervention reduced the risk of macrosomia or improved neonatal body composition.
  • The intervention, combining time-restricted eating and exercise, did not demonstrate a significant effect on the studied neonatal outcomes.
  • Further investigation into preconception interventions for GDM prevention and management is warranted.

Related Concept Videos

Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
4.3K
Pathophysiology of Diabetes01:20

Pathophysiology of Diabetes

Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia. The four categories of diabetes are type 1 diabetes, type 2 diabetes, other specific types of diabetes, and gestational diabetes.
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
3.1K
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.8K