Gestational Diabetes Research and Management · Journal article
Endocrines · August 18, 2026
Well-designed and adequately powered for the question it asks.
This retrospective cohort study of 300 women with gestational diabetes mellitus found that pre-gestational obesity (41% prevalence) was independently associated with earlier GDM diagnosis (before 24 weeks), higher insulin requirement, and three-fold increased odds of neonatal macrosomia. The findings are clear and adjusted for confounders, but the observational single-centre design limits inference of causation and generalizability.
Retrospective observational cohort study. 300 women diagnosed with gestational diabetes mellitus at a tertiary hospital; 123 (41%) with pre-gestational obesity (BMI ≥30 kg/m²) and 177 without.. Intervention: Pre-gestational obesity status (BMI ≥30 kg/m² vs. <30 kg/m²); excess gestational weight gain examined as secondary exposure.. Compared with: Non-obese women (pre-pregnancy BMI <30 kg/m²) with GDM.. n = 300. Single tertiary hospital (location not specified in source)..
PGO present in 41% (123/300) of women with GDM PGO associated with GDM diagnosis before 24 weeks: aOR 2.71 (95% CI 1.64–4.50; p < 0.001) PGO associated with insulin requirement: aOR 3.08 (95% CI 1.77–5.39; p < 0.001)
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Clinicians managing GDM should recognize that pre-gestational obesity independently predicts earlier presentation, greater insulin need, and substantially elevated macrosomia risk. These findings support preconception weight optimization and intensified weight and glucose monitoring in obese pregnant women with GDM.
Rigorous retrospective cohort study with multivariable adjustment, clear effect sizes and confidence intervals on clinically relevant outcomes (insulin requirement, macrosomia) in a well-defined GDM population, but observational design and single-centre setting prevent practice-changing classification.
As stated by the source record.
Quoted from the source exactly as published.
Clinicians managing GDM should recognize that pre-gestational obesity independently predicts earlier presentation, greater insulin need, and substantially elevated macrosomia risk. These findings support preconception weight optimization and intensified weight and glucose monitoring in obese pregnant women with GDM.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
Background/Objectives: PGO is a risk factor for GDM and adverse perinatal outcomes, but its association with clinical presentation and outcomes among affected women remains incompletely characterized. This study compared clinical, metabolic, maternal, and neonatal outcomes in women with GDM according to PGO status. Methods: This was a retrospective observational study of 300 women diagnosed with GDM between January 2022 and December 2023 at a tertiary hospital. Women were classified by pre-pregnancy BMI as with or without PGO (≥30 kg/m2). Clinical, biochemical, obstetric, and neonatal data were analysed. Multivariable logistic regression assessed factors independently associated with recorded GMD diagnosis before 24 weeks, insulin requirement, and macrosomia. Results: PGO was present in 41% of women. PGO was associated with recorded GDM diagnosis before 24 weeks (aOR 2.71; 95% CI 1.64–4.50; p < 0.001) and insulin requirement (aOR 3.08; 95% CI 1.77–5.39; p < 0.001). HbA1c remained slightly higher in women with PGO. Macrosomia was more frequent with PGO (12.2% vs. 4.5%; p = 0.025) and remained independently associated after adjustment (aOR 3.54; 95% CI 1.41–8.91; p = 0.007). In women with PGO, excessive gestational weight gain was associated with higher odds of macrosomia after adjustment for gestational age at delivery and pre-gestational BMI (aOR 10.89; 95% CI 2.91–40.76; p < 0.001). Conclusions: PGO was associated with a diagnosis of GDM before 24 weeks, increased insulin requirement and higher odds of macrosomia. These findings highlight the importance of preconception metabolic optimization, weight monitoring during pregnancy, and future risk stratification in clinical practice.
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