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Exclusive breastfeeding: Measurement to match the global recommendation.

Silvia AlayónVeronica VarelaAltrena Mukuria-AsheJeniece AlveyErin MilnerSarah PedersenJennifer Yourkavitch
Published in: Maternal & child nutrition (2022)
The World Health Organization (WHO) and United Nations Children's Fund (UNICEF) recommend exclusive breastfeeding (EBF) for the first 6 months of life. To estimate the proportion of infants that are exclusively breastfed, many agencies use the point prevalence of EBF among infants currently 0-5.9 months of age, as recommended by WHO and UNICEF. This measure tends to overestimate the percentage of infants that are exclusively breastfed for the entire recommended period. We compared five methods of measuring EBF, using data from three large-scale cross-sectional surveys. The five methods were: the WHO/UNICEF recommended method (EBF-24H); an estimate of EBF for 6 months, using the 24-h recall among infants 4-5.9 and 6-7.9 months (EBF-24H-Pul); a since birth recall (EBF-SB); an estimate of EBF for 6 months, using the since-birth recall among infants 4-5.9 and 6-7.9 months (EBF-SB-Pul); a retrospective measure of EBF collected from infants 6-11.9 months, based on the age of introduction of liquids and foods (EBF-AI). EBF-24H-Pul and EBF-SB-Pul produced lower estimates of EBF than other measures, while also aligning better with the WHO recommendation, but may be difficult to estimate from multipurpose surveys due to sample size limitations. The EBF-AI method produced estimates between these, aligns well with the WHO recommendation and can be easily collected in large-scale household surveys. Additional validation of the EBF-24-Pul, EBF-SB-Pul, and EBF-AI methods is recommended to understand how accurately they measure EBF for the recommended 6-month period.
Keyphrases
  • cross sectional
  • artificial intelligence
  • preterm infants
  • machine learning
  • deep learning
  • preterm birth