Evidence map›Paper›PMID 41770373›Full record

ArticleEuropean journal of nutrition2026

A mixed-method approach to assess factors associated with food provision to children during weaning in Singapore.

Angel Lin Fung Chi, Allan Lim, Sharron A Kuznesof, Chris J Seal, Iain A Brownlee

Abstract read
In one paragraph

Article in European journal of nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Angel Lin Fung ChiNestlé Singapore, 15A Changi Business Park Central 1, #05-02/03 Eightrium @ Changi Business Park,, Singapore, 486035, Singapore.
Allan LimNestlé Singapore, 15A Changi Business Park Central 1, #05-02/03 Eightrium @ Changi Business Park,, Singapore, 486035, Singapore.
Sharron A KuznesofApplied Social Sciences - School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.ORCID http://orcid.org/0000-0001-8630-423X
Chris J SealHuman Nutrition and Exercise Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.ORCID http://orcid.org/0000-0001-6313-6691
Iain A BrownleeNewcastle Research and Innovation Institute, Devan Nair Building, Singapore, 600201, Singapore. iain.brownlee@northumbria.ac.uk.ORCID http://orcid.org/0000-0003-0385-4995

Funding

Joint Programming Initiative A healthy diet for a healthy life 696295
6 · The paper itself

Abstract

purposeThe complementary feeding period is a key transitional phase in which lifelong dietary preferences are developed which shapes disease risk in later life. This study aimed to use cross-sectional data to examine how maternal characteristics are associated with the diet quality of their offspring.

methodsAnalysis of cross-sectional data in Singaporean mother-child dyads was conducted, alongside individual in-depth interviews to explore mothers’ perceptions and beliefs on food provisioning. Data from 488 Singaporean mother-child dyads (aged 6-24mo), were collected. Food intake (assessed by food frequency questionnaires), anthropometric and questionnaire data were collected during on-site visits. In-depth interviews were carried out in a sub-group of mothers (n = 12) to better understand dietary habits, choices, motives and influences related to their food provisioning. Pearson/Spearman correlation coefficients were used to explore diet quality relationships in the mother-child dyads. Multiple linear regression models were applied to examine the predictors for the diet quality of a child.

resultsDiet quality of children was significantly affected by maternal age, education, BMI, breastfeeding practice, and household income. The total diet quality scores in mother-child dyads were correlated (r = 0.176, p < 0.001), contributed primarily by whole grains and fruit (r = 0.330 and r = 0.325 respectively, p < 0.001), and vegetable (r = 0.125, p = 0.006). Breastfeeding was the strongest predictor of a child’s diet quality (β = 0.195; p < 0.001), and mothers valued breastfeeding qualitatively as a means to improve the bonding and well-being of their children.

conclusionMultiple factors influence diet quality in children during complementary feeding, including breastfeeding, maternal age, BMI status, dietary habit and educational attainment.

Indexed as

DietFeeding BehaviorInfant Nutritional Physiological PhenomenaWeaningAdultBody Mass IndexBreast FeedingCross-Sectional StudiesFemaleFood PreferencesHumansInfantMaleMothersSingaporeSurveys and QuestionnairesComplementary feedingDietary intakeDiet qualityFood-based guidelinesNutrient-based guidelinesWeaning

Identifiers

PMID41770373
PMCPMC12953361

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.