Version 2 2024-06-13, 07:18Version 2 2024-06-13, 07:18
Version 1 2020-10-30, 08:13Version 1 2020-10-30, 08:13
journal contribution
posted on 2024-06-13, 07:18authored byPAR Neves, AJD Barros, P Baker, E Piwoz, TM Santos, G Gatica-Domínguez, JS Vaz, N Rollins, CG Victora
AbstractObjective:To investigate the prevalence and socio-economic inequalities in breast milk, breast milk substitutes (BMS) and other non-human milk consumption, by children under 2 years in low- and middle-income countries (LMIC).Design:We analysed the prevalence of continued breast-feeding at 1 and 2 years and frequency of formula and other non-human milk consumption by age in months. Indicators were estimated through 24-h dietary recall. Absolute and relative wealth indicators were used to describe within- and between-country socio-economic inequalities.Setting:Nationally representative surveys from 2010 onwards from eighty-six LMIC.Participants:394 977 children aged under 2 years.Results:Breast-feeding declined sharply as children became older in all LMIC, especially in upper-middle-income countries. BMS consumption peaked at 6 months of age in low/lower-middle-income countries and at around 12 months in upper-middle-income countries. Irrespective of country, BMS consumption was higher in children from wealthier families, and breast-feeding in children from poorer families. Multilevel linear regression analysis showed that BMS consumption was positively associated with absolute income, and breast-feeding negatively associated. Findings for other non-human milk consumption were less straightforward. Unmeasured factors at country level explained a substantial proportion of overall variability in BMS consumption and breast-feeding.Conclusions:Breast-feeding falls sharply as children become older, especially in wealthier families in upper-middle-income countries; this same group also consumes more BMS at any age. Country-level factors play an important role in explaining BMS consumption by all family wealth groups, suggesting that BMS marketing at national level might be partly responsible for the observed differences.