Evidence map›Paper›PMID 42047862›Full record

ArticleEuropean journal of nutrition2026

Human milk and total milk intakes of mixed fed infants: a cross-sectional study of infants aged 7-10 months.

Lisa Daniels, Anne-Louise M Heath, Rachael W Taylor, Bailey Bruckner, Aly Diana, Isabella Zinzan-Dickie, Neve H McLean, Alice M Cox, Emily A Jones, Ioanna Katiforis and 10 more

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

20 authors.

Lisa DanielsDepartment of Human Nutrition, University of Otago, Dunedin, 9054, New Zealand. lisa.daniels@otago.ac.nz.ORCID http://orcid.org/0000-0002-0370-9424
Anne-Louise M Heath *Department of Human Nutrition, University of Otago, Dunedin, 9054, New Zealand.
Rachael W Taylor *Department of Medicine, University of Otago, Dunedin, New Zealand.
Bailey BrucknerDepartment of Human Nutrition, University of Otago, Dunedin, 9054, New Zealand.
Aly DianaDepartment of Public Health, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia.
Isabella Zinzan-DickieDepartment of Human Nutrition, University of Otago, Dunedin, 9054, New Zealand.
Neve H McLeanDepartment of Human Nutrition, University of Otago, Dunedin, 9054, New Zealand.
Alice M CoxDepartment of Medicine, University of Otago, Dunedin, New Zealand.
Emily A JonesSchool of Sport, Exercise and Nutrition, Massey University, Auckland, New Zealand.
Ioanna KatiforisDepartment of Human Nutrition, University of Otago, Dunedin, 9054, New Zealand.
Kimberley J BrownSchool of Sport, Exercise and Nutrition, Massey University, Auckland, New Zealand.
Madeleine RowanDepartment of Human Nutrition, University of Otago, Dunedin, 9054, New Zealand.
Maria CasaleSchool of Sport, Exercise and Nutrition, Massey University, Auckland, New Zealand.
Rosario JupiterwalaSchool of Sport, Exercise and Nutrition, Massey University, Auckland, New Zealand.
Michelle HarperDepartment of Human Nutrition, University of Otago, Dunedin, 9054, New Zealand.
Cathryn A ConlonSchool of Sport, Exercise and Nutrition, Massey University, Auckland, New Zealand.
Kathryn L BeckSchool of Sport, Exercise and Nutrition, Massey University, Auckland, New Zealand.
Lisa Te MorengaResearch Centre for Hauora and Health, Massey University, Wellington, New Zealand.
Pamela R von HurstSchool of Sport, Exercise and Nutrition, Massey University, Auckland, New Zealand.
Jillian J HaszardHaszard Biostatistics, Otago, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesThere is a paucity of data on the volume of human milk consumed by infants, particularly in later infancy (> 6 months). The objective was to estimate human milk intakes and total infant milk intakes (i.e. including infant formula), and describe associated correlates in New Zealand (NZ) infants aged 7–10 months. SUBJECTS/

methodsFirst Foods NZ (FFNZ) was a cross-sectional study that investigated infant feeding in NZ (July 2020-February 2022). Human milk intakes were obtained using the dose-to-mother stable isotope technique in a subset of breastfeeding mother-infant dyads. Infant formula intake was determined from 24-h recalls. Sociodemographic information was collected through questionnaires, and anthropometric measurements made. Total infant milk intake referred to human milk and infant formula.

resultsThe breastfeeding sub-study comprised 157 mother-infant dyads whose infant milk was fully or partially human milk, and 217 non-breastfeeding dyads. All infants consumed solid foods. The mean (SD) human milk intake was 785 (264) g/day, higher in those consuming only human milk and no infant formula (828 g/day), and decreasing with age. Total infant milk intakes were around 820 g/day, regardless of milk type. Factors associated with both human milk and total infant milk intakes were infant age, BMI z-score, and maternal education. Maternal BMI and demand feeding were also related to human milk intakes. There was no difference in milk intake by season.

conclusionsThis study provides valuable insight into human milk intakes during late infancy in NZ infants (7–10 months), improving our ability to accurately assess nutritional intakes and nutrient adequacy of infants.

Indexed as

DietInfant FormulaInfant Nutritional Physiological PhenomenaMilk, HumanAdultBreast FeedingCross-Sectional StudiesFemaleHumansInfantMaleNew ZealandBreast milk intakeHuman milk intakeInfantInfant formula intakeStable isotope

Identifiers

PMID42047862
PMCPMC13124827

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.