Macrosomia is an emerging but neglected obstetric challenge in Africa, associated with potentially life-threatening complications to both the mother and the fetus, including maternal and neonatal morbidity and mortality. This study aimed to determine the pooled prevalence, associated risk factors, and neonatal and maternal outcomes of macrosomia by performing a systematic review and meta-analysis.

We conducted a systematic review and meta-analysis following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

We conducted a comprehensive search of PubMed, EMBASE and Web of Science to extract data from those that have investigated various aspects of the prevalence, risk factors and outcomes of macrosomia from the earliest records to 26 August 2025. Appropriate search terms were used for each database.

We included observational studies that examined the prevalence, risk factors and outcomes of macrosomia in Africa.

Two independent reviewers used standardised methods to search, screen and code included studies. Risk of bias was assessed using the Joanna Briggs Institute Critical Appraisal tool and the Newcastle-Ottawa Quality Assessment Scale. Meta-analyses were performed using random-effects models to estimate the pooled prevalence of macrosomia. The I² statistic was used to examine statistical heterogeneity. Egger’s test and Funnel plot were used to evaluate publication bias. Grading of Recommendations Assessment, Development and Evaluation to assess the quality of the meta-analysis.

A total of 29 studies comprising 269 934 mother–infant pairs from 9 African countries were included. The pooled prevalence of macrosomia in Africa was 6.35% (95% CI 5.22% to 7.48%), with substantial heterogeneity (I²=94.9%). Sensitivity analysis excluding one outlier study reporting a prevalence of 35.89% produced a similar pooled estimate (6.02%, 95% CI 4.94% to 7.10%). Significant risk factors for macrosomia included male neonate (OR=1.58, 95% CI 1.05 to 2.11), gestational age ≥40 weeks (OR=1.54, 95% CI 1.11 to 1.97) and history of macrosomia (OR=5.44, 95% CI 1.82 to 9.06). With respect to outcomes, macrosomia was associated with an increased risk of shoulder dystocia (OR=2.07, 95% CI 1.12 to 3.03), and a reduced risk of postpartum haemorrhage (OR=0.86, 95% CI 0.82 to 0.91), while no significant associations were observed for gestational diabetes mellitus, caesarean delivery, neonatal mortality or maternal mortality.

Macrosomia remains a significant public health concern in Africa, with a pooled prevalence of 6.35%. There are multiple risk factors associated with macrosomia in Africa, including the male sex, prolonged gestation and a prior history of macrosomia. Also, macrosomia increases the likelihood of shoulder dystocia and other delivery complications. Preventive strategies and targeted interventions are needed to reduce the burden of macrosomia in Africa. At the same time, enhanced obstetric preparedness for macrosomic deliveries is essential to mitigate the associated adverse perinatal outcomes. However, our study is limited by high heterogeneity and publication and language biases, which should be addressed in future studies.

CRD42023485419.

Gestational diabetes mellitus (GDM) is an emerging public health concern in low and middle-income countries, including Nigeria, because of the associated pregnancy complications, increased healthcare costs and long-term health sequelae among women of reproductive age and their offspring. We determined the cumulative incidence, risk factors and pregnancy outcomes of GDM in Ibadan, Nigeria.

Prospective cohort study.

Ibadan, Southwest Nigeria.

721 pregnant women from the Ibadan Pregnancy Cohort Study participated in the one-step 75 g-oral glucose tolerance test at 24–28 weeks’ gestation.

The primary outcome of the study is the cumulative incidence of GDM. GDM was diagnosed according to the International Association of Diabetes and Pregnancy Study Groups criteria. Secondary outcomes were pregnancy outcomes, which included modes of delivery (CS, spontaneous vaginal delivery), macrosomia (birth weight ≥4.0 kg), gestational age at delivery and birth asphyxia. The risk factors (exposures) examined included sociodemographic, obstetric, clinical, behavioural and lifestyle factors. Bivariate and multivariate Log-binomial regression models were used to identify the independent risk factors of GDM (adjusted for maternal age ≥35 years, income, maternal body mass index, history of pregnancy loss and congenital anomaly) and the associated pregnancy outcomes of GDM (adjusted for maternal age, income and maternal body mass index). Adjusted relative risk (aRR) and 95% CI, used to assess the strength of associations, were reported.

The cumulative incidence of GDM was 20.7%, 95% CI (17.9% to 23.9%). The mean time for the diagnosis of GDM is 25.4±1.42 weeks of gestation. After adjusting for other variables, maternal age ≥35 years: (aRR: 1.48). 95% CI (1.07 to 1.97) p=0.016), maternal obesity (aRR: 1.85, 95% CI (1.26 to 2.30) p=0.002) and a previous history of congenital anomaly (aRR: 2.83, 95% CI (1.97 to 4.07) p

The cumulative incidence of GDM is high among pregnant women in Ibadan. Maternal age ≥35 years, maternal obesity and a history of congenital anomaly were significant independent risk factors for GDM. These factors should be targeted for public health interventions, including lifestyle modification among pregnant women with obesity and early screening and diagnosis of GDM.