- Design
- Secondary analysis of baseline data from the DiGest randomised trial
- Population
- 215 women with gestational diabetes
- Primary outcome
- Nutrient intake, CGM time above range, birth weight by carbohydrate intake
- Effect
- <120 g/day: TAR -6.8% (95% CI -13.4 to -0.2); birth weight -9.6 centiles (-18.7 to -0.6)
In the DiGest trial, 215 women with gestational diabetes recorded a 24-hour dietary recall and wore masked continuous glucose monitors before they were randomised. About a third ate the commonly recommended minimum of 175 g of carbohydrate a day or more, a third ate 120 to 175 g, and a third ate under 120 g.
Women eating under 120 g a day spent 6.8 percentage points less time above 120 mg/dL (95% CI -13.4 to -0.2) and had babies about 9.6 birth-weight centiles lighter (95% CI -18.7 to -0.6), with no difference in large- or small-for-gestational-age rates. They also ate less fibre, fewer B vitamins and vitamin E, and fewer minerals.
This is a cross-sectional look at baseline diet, not a test of advising carbohydrate restriction. The glucose benefit is modest and the interval sits close to zero. The nutrient shortfall is the more robust finding and the one to act on in clinic.
- Ask women with gestational diabetes how much they have cut carbohydrate, not only whether they follow the diet.
- Where intake is very low, check for adequate fibre, B vitamins, vitamin E and minerals.
- Do not advise going below the usual carbohydrate floor on the strength of this analysis.
- Involve a dietitian when a woman has restricted carbohydrate heavily on her own.
- In Indian practice, cereal-based diets mean carbohydrate cuts often remove the main fibre source too.
Why it matters
Women often over-restrict after diagnosis; this shows what that costs in nutrients for a small glucose gain.
Don't overread it
Observational baseline data — it cannot show that advising low-carbohydrate diets improves outcomes.
The statistics, in plain English
The confidence interval for time above range runs from -13.4 to -0.2, so the true effect could be close to nothing. The birth-weight difference was in centiles and did not translate into fewer large or small babies, so its clinical meaning is unclear.
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