Evidence map›Paper›PMID 31875480›Full record

ArticleThe Journal of nutrition2020

Infant Formula Consumption Is Positively Correlated with Wealth, Within and Between Countries: A Multi-Country Study.

Paulo A R Neves, Giovanna Gatica-Domínguez, Nigel C Rollins, Ellen Piwoz, Phillip Baker, Aluísio J D Barros, Cesar G Victora

Abstract read
In one paragraph

Article in The Journal of nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Exclusive Breastfeeding and Growth Trajectories Until 5 Years of Age Among Children Monitored in Primary Health Care in Brazil.American journal of human biology : the official journal of the Human Biology Council · 2026
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  14. A proposal to recognize investment in breastfeeding as a carbon offset.Bulletin of the World Health Organization · 2024
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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

7 authors.

Paulo A R NevesInternational Center for Equity in Health, Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Rio Grande do Sul State, Brazil.
Giovanna Gatica-DomínguezInternational Center for Equity in Health, Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Rio Grande do Sul State, Brazil.
Nigel C RollinsDepartment of Maternal, Newborn, Child and Adolescent Health, WHO, Geneva, Switzerland.
Ellen PiwozGlobal Development Program, The Bill & Melinda Gates Foundation, Seattle, WA, USA.
Phillip BakerInstitute for Physical Activity and Nutrition, Deakin University, Burwood, Victoria, Australia.
Aluísio J D BarrosInternational Center for Equity in Health, Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Rio Grande do Sul State, Brazil.
Cesar G VictoraInternational Center for Equity in Health, Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Rio Grande do Sul State, Brazil.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundIn contrast with the ample literature on within- and between-country inequalities in breastfeeding practices, there are no multi-country analyses of socioeconomic disparities in breastmilk substitute (BMS) consumption in low- and middle-income countries (LMICs).

objectiveThis study aimed to investigate between- and within-country socioeconomic inequalities in breastfeeding and BMS consumption in LMICs.

methodsWe examined data from the Demographic Health Surveys and Multiple Indicator Cluster Surveys conducted in 90 LMICs since 2010 to calculate Pearson correlation coefficients between infant feeding indicators and per capita gross domestic product (GDP). Within-country inequalities in exclusive breastfeeding, intake of formula or other types of nonhuman milk (cow/goat) were studied for infants aged 0-5 mo, and for continued breastfeeding at ages 12-15 mo through graphical presentation of coverage wealth quintiles.

resultsBetween-country analyses showed that log GDP was inversely correlated with exclusive (r = -0.37, P < 0.001) and continued breastfeeding (r = -0.74, P < 0.0001), and was positively correlated with formula intake (r = 0.70, P < 0.0001). Continued breastfeeding was inversely correlated with formula (r = -0.79, P < 0.0001), and was less strongly correlated with the intake of other types of nonhuman milk (r = -0.40, P < 0.001). Within-country analyses showed that 69 out of 89 did not have significant disparities in exclusive breastfeeding. Continued breastfeeding was significantly higher in children belonging to the poorest 20% of households compared with the wealthiest 20% in 40 countries (by ∼30 percentage points on average), whereas formula feeding was more common in the wealthiest group in 59 countries.

conclusionsBMS intake is positively associated with GDP and negatively associated with continued breastfeeding in LMICs. In most countries, BMS intake is positively associated with family wealth, and will likely become more widespread as countries develop. Urgent action is needed to protect, promote, and support breastfeeding in all income groups and to reduce the intake of BMS, in light of the hazards associated with their use.

Indexed as

Developed CountriesDeveloping CountriesIncomeInfant FormulaBreast FeedingFemaleGlobal HealthHumansInfantInfant, NewbornMaleMothersSocial ClassSocioeconomic FactorsSurveys and Questionnairesbreast feedingbreastmilk substituteseconomic statushealth equityinfant and young child feedingsocioeconomic factors

Identifiers

PMID31875480
PMCPMC7138652

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.