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BACKGROUND: Gestational diabetes mellitus (GDM) is associated with increased risk of developing type 2 diabetes and cardiovascular disease (CVD). Here we explore whether the associations are mediated by development of type 2 diabetes and other CVD risk factors. METHODS: The Exploring Long-term Outcomes following PrEgnancy affected by GDM (ELOPE-GDM) study is a population-based matched cohort study, containing 43 572 records of women diagnosed with GDM matched with 174 288 records of non-GDM women. We used Cox proportional hazards models to assess the risk of GDM on CVD, ischemic heart disease (IHD) and stroke/TIA and quantified the proportions of these effects mediated by the progression to type 2 diabetes, hypertension or dyslipidaemia using causal mediation analysis. RESULTS: There were significant associations between GDM and CVD; (adjusted HR 1.58 (95% CI 1.27-1.97)), IHD (1.83 (1.35-2.49)) and stroke/TIA (1.43 (1.06-1.95)). There were strong associations between GDM and developing type 2 diabetes (OR 13.90 (95% CI 13.19-14.51)), hypertension (1.87 (1.781-1.92)), dyslipidaemia (1.80 (1.76-1.84)) or any of these postpartum mediators (1.67 (1.63-1.71)). However, most of the effect of GDM on CVD was not attributed to the overall mediating effects of type 2 diabetes (36% (95% CI 8%-64%)), hypertension (15% (5%-24%)), dyslipidaemia (37% (18%-55%)) or a combination of these conditions (32% (11%-53%)) which developed after pregnancy. CONCLUSION: These findings emphasise the need for comprehensive cardio metabolic screening following a pregnancy affected by GDM.

More information Original publication

DOI

10.1111/dom.70210

Type

Journal article

Publication Date

2026-01-01T00:00:00+00:00

Volume

28

Pages

417 - 426

Total pages

9

Keywords

cardiovascular disease, gestational diabetes, population‐based studies, risk factors, risk management, Humans, Female, Diabetes, Gestational, Pregnancy, Adult, Cardiovascular Diseases, Diabetes Mellitus, Type 2, England, Postpartum Period, Cohort Studies, Risk Factors, Proportional Hazards Models, Hypertension, Middle Aged