Pre‐pregnancy health of women with pre‐existing diabetes or previous gestational diabetes: Analysis of pregnancy risk factors and behavioural data from a digital tool

Diabet MedPublished Cross-sectional study

Authors' conclusion

This study highlights the potential of online pregnancy planning advisory tools to reach high-risk women and emphasises the need to improve pre-pregnancy care for women with pre-existing diabetes and previous gestational diabetes, many of whom are actively seeking advice. It is also the first to describe pre-pregnancy health behaviours in women with previous gestational diabetes.

Study context

Population
Women planning pregnancy using a digital pregnancy planning advisory tool (Tommy's charity UK), September 2019–September 202012-month period
Participants
84,359 women
Exposure
Women with T1D, T2D or previous GDM vs women without diabetes
  • T1Dn = 668
  • T2Dn = 707
  • Previous GDMn = 1,785
Outcome
Obesity (BMI ≥30 kg/m²)
Methodological detailsdescriptive, data from a digital pregnancy planning advisory tool (Tommy's charity UK), stratified by diabetes type
  • Descriptive
  • Data from a digital pregnancy planning advisory tool (Tommy's charity UK)
  • Stratified by diabetes type

Main finding

As reported in the abstract

No diabetes

26%

95% CI (26,26%)

Observational data: associations, not effects.

Further findings

OutcomeT1DT2D
Taking recommended folic acid dose (5 mg)47% (95% CI (43.50%))— not stated in the abstract
Smoking20% (95% CI [17,23%])23% (95% CI [20,26%])

— not stated in the abstract

  • Illicit/recreational drug use: No diabetes 5% (95% CI [5,5%])

Taking folic acid (any dose)

Use of folic acid supplements was low

Alcohol, physical activity, fruit and vegetable intake

Alcohol consumption, low levels of physical activity and of fruit and vegetable intake were also evident

Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.

Original publication

Pre‐pregnancy health of women with pre‐existing diabetes or previous gestational diabetes: Analysis of pregnancy risk factors and behavioural data from a digital tool. Diabet Med. Published 30 November 2022. doi:10.1111/dme.15008

Composed by AI from the published abstract and checked against it. How Briefs are made →

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