Evidence map›Paper›PMID 37218453›Full record

ArticleMaternal & child nutrition2023

Breastfeeding is associated with the intelligence of school-age children in Mexico.

Lidia Sarahi Peña-Ruiz, Mishel Unar-Munguía, Mónica Arantxa Colchero, Fernando Alarid-Escudero, Rafael Pérez-Escamilla

Open access · goldAbstract read
In one paragraph

Article in Maternal & child nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

5 authors at 4 institutions in 4 countries.

Lidia Sarahi Peña-RuizDepartment of Maternal, Child and Adolescent Nutrition, Center for Research on Health and Nutrition, National Institute of Public Health, Cuernavaca, Morelos, Mexico.ORCID 0000-0001-7721-0549
Mishel Unar-MunguíaDepartment of Maternal, Child and Adolescent Nutrition, Center for Research on Health and Nutrition, National Institute of Public Health, Cuernavaca, Morelos, Mexico.ORCID 0000-0002-1156-9337
Mónica Arantxa ColcheroDepartment of Health Economics, Center for Research on Health Systems, National Institute of Public Health, Cuernavaca, Morelos, Mexico.ORCID 0000-0002-4891-7120
Fernando Alarid-EscuderoDepartment of Health Policy, School of Medicine, Stanford University, CA, US.ORCID 0000-0001-5076-1172
Rafael Pérez-EscamillaDepartment of Social and Behavioral Science, Yale School of Public Health, Yale University, New Haven, Connecticut, USA.ORCID 0000-0001-9416-8039
National Institute of Public Health · SICenter for Policy Analysis · USNational Institute of Public Health · KHYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Breastfeeding has been consistently associated with higher intelligence since childhood. However, this relation could be confounded due to maternal selection bias. We estimated the association between predominant breastfeeding and intelligence in school-age children considering potential selection bias and we simulated the intelligence gap reduction between low versus higher socioeconomic status children by increasing breastfeeding. We analysed predominant breastfeeding practices (breastmilk and water-based liquids) of children 0-3 years included in the Mexican Family Life Survey (MxFLS-1). Intelligence was estimated as the z-score of the abbreviated Raven score, measured at 6-12 years in the MxFLS-2 or MxFLS-3. We predicted breastfeeding duration among children with censored data with a Poisson model. We used the Heckman selection model to assess the association between breastfeeding and intelligence, correcting for selection bias and stratified by socioeconomic status. Results show after controlling for selection bias, a 1-month increase in predominant breastfeeding duration was associated with a 0.02 SD increase in the Raven z-score (p < 0.05). The children who were predominantly breastfed for 4-6 months versus <1 month had 0.16 SD higher Raven z-score (p < 0.05). No associations were found using multiple linear regression models. Among low socioeconomic status children, increasing predominantly breastfeeding duration to 6 months would increase their mean Raven z-score from -0.14 to -0.07 SD and reduce by 12.5% the intelligence gap with high socioeconomic status children. In conclusion, predominant breastfeeding duration was significantly associated with childhood intelligence after controlling for maternal selection bias. Increased breastfeeding duration may reduce poverty-driven intelligence inequities.

Indexed as

Breast FeedingChild DevelopmentChildFemaleHumansInfantIntelligenceMexicoMilk, Humanbreastfeedingchildintelligencelongitudinal studyMexicoselection bias

Identifiers

PMID37218453
PMCPMC10483941
OpenAlexW4377565475

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.