Observational studyDiabetologia2025
The metabolic and circadian signatures of gestational diabetes in the postpartum period characterised using multiple wearable devices.
Observational study in Diabetologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04642534 (Molecular and Functional Interplay Between the Circadian Clocks and Eating Patterns in Patients With Cardio-metabolic Diseases), which is not on this map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Molecular and Functional Interplay Between the Circadian Clocks and Eating Patterns in Patients With Cardio-metabolic Diseases (Cohort)
Who cites it
3 citing papers in PubMed.
- The Role of Continuous Glucose Monitoring in Managing Hyperglycaemia First Detected in Pregnancy: A Narrative Review.Diabetes, obesity & metabolism · 2026Review
- Challenges and opportunities of wearable molecular sensors in endocrinology and metabolism.Nature reviews. Endocrinology · 2026Review
- Advances in biomonitoring technologies for women's health.Nature communications · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aims/hypothesisGestational diabetes mellitus (GDM) affects 14% of all pregnancies worldwide and is associated with cardiometabolic risk. We aimed to exploit high-resolution wearable device time-series data to create a fine-grained physiological characterisation of the postpartum GDM state in free-living conditions, including clinical variables, daily glucose dynamics, food and drink consumption, physical activity, sleep patterns and heart rate.
methodsIn a prospective observational study, we employed continuous glucose monitors (CGMs), a smartphone food diary, triaxial accelerometers and heart rate and heart rate variability monitors over a 2 week period to compare women who had GDM in the previous pregnancy (GDM group) and women who had a pregnancy with normal glucose metabolism (non-GDM group) at 1-2 months after delivery (baseline) and 6 months later (follow-up). We integrated CGM data with ingestion events recorded with the smartphone app MyFoodRepo to quantify the rapidity of returning to preprandial glucose levels after meal consumption. We inferred the properties of the underlying 24 h rhythm in the baseline glucose. Aggregating the baseline and follow-up data in a linear mixed model, we quantified the relationships between glycaemic variables and wearable device-derived markers of circadian timing.
resultsCompared with the non-GDM group (n=15), the GDM group (n=22, including five with prediabetes defined based on fasting plasma glucose [5.6-6.9 mmol/l (100-125 mg/dl)] and/or HbA CONCLUSIONS/
interpretationWe reveal GDM-related postpartum differences in glucose variability and 24 h rhythms, even among women clinically considered to be normoglycaemic. Our results provide a rationale for future interventions aimed at improving glucose variability and encouraging earlier daily behavioural patterns to mitigate the long-term cardiometabolic risk of GDM.
trial registrationClinicalTrials.gov no. NCT04642534.
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