MARATTO

review · Frontiers in Public Health

Effect of antenatal care on low birth weight: a systematic review and meta-analysis in Africa, 2022

202326 citationsOpen accessDebre Tabor University

Abstract

Background: Risk identification, as well as the prevention and management of diseases associated with pregnancy or other conditions that may occur concurrently, is the essential component of ANC. Method: The observational follow-up and cross-sectional studies on the effect of antenatal care on low birth weight in Africa were conducted according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. Five computerized bibliographic databases: Google Scholar, PubMed, Scopus, Cochrane Library, and Hinari Direct were searched for published studies written in English till May 2022. The risk of bias assessment tools developed by the Joanna Briggs Institute for cross-sectional and observational follow-up research was used, and the caliber of each included study was assessed. Seven papers were included, with a total of 66,690 children participating in the study. Results: Seven studies met the selection criteria. Prenatal care and low birth weight were linked in four of the seven studies included in the review. The pooled odd ratio for low birth weight in the random-effects model was 0.46 (95% CI: 0.39, 0.53). The pooled odds ratio for low birth weight was 0.21 (95% CI: 0.19, 0.22) and 0.21 (95% CI: 0.19, 0.22), respectively, among pregnant women who had no antenatal care follow-up and those who had antenatal care follow up. Conclusion: Women who attended at least one antenatal care appointment were more likely than their counterparts to have a baby of normal weight. Interventions to reduce low birth weight in Africa should focus on providing adequate antenatal care and quality healthcare services to women with low socioeconomic status.

Research topics

  • Gestational Diabetes Research and Management
  • Global Maternal and Child Health
  • COVID-19 Impact on Reproduction

Sustainable Development Goals

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.3389/fpubh.2023.1158809

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.