Antenatal Determinants of Childhood Obesity in High-Risk Offspring: Protocol for the DiGest Follow-Up Study.
Danielle JonesEmanuella De Lucia RolfeKirsten L RennieLinda M Oude GriepLaura C KusinskiDeborah J HughesSoren BrageKen K OngKathryn BeardsallClaire L MeekPublished in: Nutrients (2021)
Childhood obesity is an area of intense concern internationally and is influenced by events during antenatal and postnatal life. Although pregnancy complications, such as gestational diabetes and large-for-gestational-age birthweight have been associated with increased obesity risk in offspring, very few successful interventions in pregnancy have been identified. We describe a study protocol to identify if a reduced calorie diet in pregnancy can reduce adiposity in children to 3 years of age. The dietary intervention in gestational diabetes (DiGest) study is a randomised, controlled trial of a reduced calorie diet provided by a whole-diet replacement in pregnant women with gestational diabetes. Women receive a weekly dietbox intervention from enrolment until delivery and are blinded to calorie allocation. This follow-up study will assess associations between a reduced calorie diet in pregnancy with offspring adiposity and maternal weight and glycaemia. Anthropometry will be performed in infants and mothers at 3 months, 1, 2 and 3 years post-birth. Glycaemia will be assessed using bloodspot C-peptide in infants and continuous glucose monitoring with HbA1c in mothers. Data regarding maternal glycaemia in pregnancy, maternal nutrition, infant birthweight, offspring feeding behaviour and milk composition will also be collected. The DiGest follow-up study is expected to take 5 years, with recruitment finishing in 2026.
Keyphrases
- pregnancy outcomes
- weight loss
- pregnant women
- gestational age
- preterm birth
- birth weight
- physical activity
- randomized controlled trial
- high fat diet
- weight gain
- study protocol
- insulin resistance
- type diabetes
- clinical trial
- preterm infants
- metabolic syndrome
- electronic health record
- health insurance
- big data
- polycystic ovary syndrome