Article scientifique
Multivariate Analysis of Gestational Diabetes Risk Factors in a North African Population: A Call for Targeted Maternal Health Interventions
Auteurs / intervenants : ABDELLAOUI H.,OUZENNOU N.,Adnane Hakem.,RKHA S.
Domaine / spécialité : Gestational Diabetes
Revue : ONLINE JOURNAL OF BIOLOGICAL SCIENCES
Date de publication : 31/01/2026
Présentation
Abstract: Gestational Diabetes (GD) is a multifactorial condition influenced by demographic, anthropometric and
obstetric determinants. Identifying predictive factors is essential to anticipate the disorder, guide prevention
strategies and reduce maternal and neonatal complications. To assess the risk factors associated with GDM in
pregnant women in the Marrakech-Safi region, in order to fill a gap in national data. A retrospective cross-sectional
study was conducted on 331 women (202 with GDM and 129 without GDM). Data collected included
sociodemographic and clinical characteristics: maternal age, pregestational Body Mass Index (BMI), parity,
obstetric history, family history of diabetes and blood type. Multivariate logistic regression was applied, with
significance set at p < 0.05. Mean maternal age was 27 years, with 17% of participants aged ≥ 35 years. Multivariate
analysis identified as independent factors for GDM: Maternal age 26-35 years (aOR = 2.58; CI95% [1.37-4.88])
and ≥ 35 years (aOR = 4.37; CI95% [1.88-10.14]), history of miscarriage (aOR = 2.47; CI95% [1.18-5.15]),
multiparity (2 pregnancies: aOR = 31.62; ≥ 3 pregnancies: aOR = 36.40) and family history of diabetes (aOR =
2.81; CI95% [1.56-5.07]). Blood groups A (aOR = 0.29; CI95% [0.12-0.67]) and O (aOR = 0.39; CI95% [0.18-0.87])
were associated with a lower risk of GDM compared to group B. BMI was not significantly associated. Advanced
maternal age, multiparity, history of miscarriage and family history of diabetes are major determinants of GDM in
the Marrakech-Safi region. The protective association observed for blood groups A and O needs to be confirmed
by further studies. These results underline the need for early screening and targeted preventive strategies, adapted
to local resources, to improve maternal and neonatal outcomes.