Introduction: Type 2 diabetes mellitus (T2DM) and gestational diabetes mellitus (GDM) pose significant global health challenges. The increasing global prevalence of GDM and its associated complications underscores the need for proactive screening and management. The study aimed to evaluate the prevalence of GDM and its associated risk factors in a tertiary care hospital in North India Methodology: A prospective cross-sectional study conducted at Max Super Speciality Hospital, New Delhi, during 2016-2017, enrolled 900 pregnant women (aged 18-50 years) from the antenatal outpatient department (OPD). Primary objective: To assess impaired oral glucose tolerance prevalence (IADPSG criteria) at 24th-28th weeks. The data covered demographic, socioeconomic, obstetric, and medical details. Descriptive statistics were used to summarize the variables. Chi-square or Fisher's tests were applied to categorical data, while continuous data were analysed using independent t-tests. Multiple regression analysis was conducted to identify risk factors. Results: GDM was diagnosed in 7.4% of participants. Prevalence was highest in the age group >35 years (36.2%, p=0.000), and a significant association was found between increasing body mass index (BMI) and GDM (p=0.04). Adverse obstetric history, including previous abortions and GDM in prior pregnancies, increased the risk of GDM. Complications during pregnancy, such as macrosomia (present in 1 patient with GDM and none in non-GDM), foetal distress (9.09% in GDM), and preeclampsia (4.7% in GDM), were higher in women with GDM. Vaginal delivery prevalence was higher in non-GDM, while GDM had a higher rate of caesarean section delivery (p<0.005). Conclusion: The study discloses a 7.4% GDM prevalence in North Indian tertiary care, accentuating rising diabetes trends. Identified risk factors inform antenatal screening, highlighting the need for early GDM management to mitigate complications and prevent future diabetes. Single-centre limitations emphasise the necessity for broader population studies for accurate prevalence rates.
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