Gestational Adiponectin and Postpartum Glycemic Outcomes in 96 GDM Patients

A prospective cohort study of 96 women with gestational diabetes mellitus (GDM) by SiYan Zhong, investigating the association between serum adiponectin levels measured longitudinally during pregnancy and postpartum glycemic outcomes at a 1-year follow-up. The dataset includes baseline demographic and biochemical data, with statistical analyses identifying adiponectin as an independent protective factor against adverse outcomes.

Use Cases

• Predict postpartum glycemic outcomes based on gestational adiponectin levels and patient demographics.
• Analyze the association between age, BMI, family history, and the development of prediabetes or type 2 diabetes.
• Model the protective effect of adiponectin using hazard ratios derived from Cox proportional hazards models.
• Compare metabolic dysfunction incidence between patient groups with high and low adiponectin levels.

Strengths

• Longitudinal measurements of serum adiponectin across three gestational stages and postpartum.
• Clear outcome classification for 96 patients into favourable (54.17%) and unfavourable (45.83%) groups.
• Specific hazard ratios reported for key risk factors like age, BMI, family history, and glucose levels.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Dataset is small (49.9 KB), indicating a limited scope of approximately 96 patient records.

Provenance

Source

figshare, author SiYan Zhong.

Collection Method

Prospective cohort study with data collected from enrolled GDM patients using enzyme-linked immunosorbent assay (ELISA) and follow-up assessments.

Time Range

Covers gestational period and a 1-year postpartum follow-up.

Freshness

Last updated 2026-04-24 14:58:10; freshness should be verified.

Geography

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