Macrosomia and its predictors in pregnant women with diabetes in Ethiopia

Trop Med Int Health. 2021 Dec;26(12):1539-1552. doi: 10.1111/tmi.13684. Epub 2021 Oct 12.

Abstract

Background: To estimate the prevalence of macrosomia and contributing factors among pregnant women with diabetes in Ethiopia.

Methods: The Cochrane, PubMed, Google Scholar, SCOPUS, Web of Science electronic databases and grey literature found in online university repositories were searched for primary studies reporting the prevalence of macrosomia (birth weight ≥4 kg, irrespective of gestational age) and/or at least one determinant factor using WHO diabetes diagnosis criteria were involved. Variations across the studies were checked using the I2 statistic; funnel plot and Egger's test were used to assess publication bias. A weighted inverse random effect model was used to estimate the overall prevalence of macrosomia.

Results: The overall prevalence of macrosomic newborns among pregnant women with diabetes [15.1% (95% CI: 9.0%, 21.2%)] was higher than the prevalence among non-diabetic mothers (3.9%). Maternal blood glucose level >100 mg/dl [AOR = 10.5: 95% CI: 5.9, 15.1] and >120 mg/dl [AOR = 8.8: 95% CI: 4.5, 13.0], lack of Antenatal Care (ANC) visit [AOR = 10.8: 95% CI: 6.0, 15.0], previous adverse birth outcomes and advanced maternal age [AOR = 3.5: 95% CI: 1.0, 5.9] were significantly associated with the prevalence of macrosomia at 95% CI.

Conclusion: The pooled prevalence of macrosomia among pregnant women with diabetes was higher than the prevalence among non-diabetic pregnant women (3.9%). Advanced maternal age, previous adverse birth outcomes, lack of ANC and uncontrolled maternal plasma glucose level were independent predictors of macrosomia.

Keywords: diabetes mellitus; ethiopia; macrosomia; meta-analysis; pregnancy.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Diabetes, Gestational / epidemiology*
  • Ethiopia / epidemiology
  • Female
  • Fetal Macrosomia / epidemiology*
  • Fetal Macrosomia / etiology*
  • Humans
  • Pregnancy
  • Pregnancy in Diabetics / epidemiology*
  • Risk Factors