Evidence map›Paper›PMID 33059789›Full record

ArticlePublic health nutrition2022

Consumption of breast milk, formula and other non-human milk by children aged under 2 years: analysis of eighty-six low- and middle-income countries.

Paulo Ar Neves, Aluísio Jd Barros, Phillip Baker, Ellen Piwoz, Thiago M Santos, Giovanna Gatica-Domínguez, Juliana S Vaz, Nigel Rollins, Cesar G Victora

Open access · hybridAbstract read
In one paragraph

Article in Public health nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  13. Microbial Production of Human Milk Oligosaccharides.Molecules (Basel, Switzerland) · 2023
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 4 countries.

Paulo Ar NevesInternational Center for Equity in Health, Federal University of Pelotas, Rua Marechal Deodoro, 1160, 3rd floor, Pelotas96020-220, Brazil.ORCID 0000-0002-1200-4725
Aluísio Jd BarrosInternational Center for Equity in Health, Federal University of Pelotas, Rua Marechal Deodoro, 1160, 3rd floor, Pelotas96020-220, Brazil.
Phillip BakerInstitute for Physical Activity and Nutrition, Deakin University, Melbourne, Australia.
Ellen PiwozGlobal Development Program, The Bill & Melinda Gates Foundation, Seattle, WA, USA.
Thiago M SantosInternational Center for Equity in Health, Federal University of Pelotas, Rua Marechal Deodoro, 1160, 3rd floor, Pelotas96020-220, Brazil.
Giovanna Gatica-DomínguezInternational Center for Equity in Health, Federal University of Pelotas, Rua Marechal Deodoro, 1160, 3rd floor, Pelotas96020-220, Brazil.ORCID 0000-0001-5284-2654
Juliana S VazInternational Center for Equity in Health, Federal University of Pelotas, Rua Marechal Deodoro, 1160, 3rd floor, Pelotas96020-220, Brazil.
Nigel RollinsDepartment of Maternal, Newborn, Child and Adolescent Health, World Health Organization, Geneva, Switzerland.
Cesar G VictoraInternational Center for Equity in Health, Federal University of Pelotas, Rua Marechal Deodoro, 1160, 3rd floor, Pelotas96020-220, Brazil.
Universidade Federal de Pelotas · BRDeakin University · AUGates Foundation · USWorld Health Organization · CH

Funding

Bill & Melinda Gates Foundation INV-007594Wellcome TrustWellcome Trust 101815/Z/13/ZWorld Health Organization 001
6 · The paper itself

Abstract

objectiveTo 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).

designWe 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.

settingNationally representative surveys from 2010 onwards from eighty-six LMIC.

participants394 977 children aged under 2 years.

resultsBreast-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.

conclusionsBreast-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.

Indexed as

Developing CountriesMilk, HumanBreast FeedingFemaleHumansIncomeInfantPovertyBreast-feedingBreast milk substitutesDeveloping countriesEconomic statusInfant formulaNutrition surveysSocio-economic factors

Identifiers

PMID33059789
PMCPMC9991621
OpenAlexW3092978299

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.