Evidence map›Paper›PMID 40507201›Full record

ArticleNutrients2025

Nutrient Intake and Plasma and Erythrocyte Content Among Lactating Mothers of Hospitalized Very Preterm Infants: Associations with Human Milk Composition.

Kristin Keller, Noelia Ureta-Velasco, Diana Escuder-Vieco, José C E Serrano, Javier Fontecha, María V Calvo, Javier Megino-Tello, Carmen R Pallás-Alonso, Nadia Raquel García-Lara

Abstract read
In one paragraph

Article in Nutrients, 2025. 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. 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

9 authors.

Kristin KellerResearch Institute i+12, 12 de Octubre University Hospital, 28041 Madrid, Spain.ORCID 0000-0001-9192-6797
Noelia Ureta-VelascoResearch Institute i+12, 12 de Octubre University Hospital, 28041 Madrid, Spain.ORCID 0000-0001-8780-1836
Diana Escuder-ViecoResearch Institute i+12, 12 de Octubre University Hospital, 28041 Madrid, Spain.
José C E SerranoDepartment of Experimental Medicine, Faculty of Medicine, University of Lleida, 25008 Lleida, Spain.ORCID 0000-0001-6714-6061
Javier FontechaFood Lipid Biomarkers and Health Group, Institute of Food Science Research (CIAL), CSIC-UAM, 28049 Madrid, Spain.ORCID 0000-0001-5719-2304
María V CalvoFood Lipid Biomarkers and Health Group, Institute of Food Science Research (CIAL), CSIC-UAM, 28049 Madrid, Spain.ORCID 0000-0002-6785-7661
Javier Megino-TelloFood Lipid Biomarkers and Health Group, Institute of Food Science Research (CIAL), CSIC-UAM, 28049 Madrid, Spain.
Carmen R Pallás-AlonsoResearch Institute i+12, 12 de Octubre University Hospital, 28041 Madrid, Spain.ORCID 0000-0001-9710-8162
Nadia Raquel García-LaraResearch Institute i+12, 12 de Octubre University Hospital, 28041 Madrid, Spain.ORCID 0000-0002-0541-3870

Funding

RETICS "Maternal and Child Health and Development Network" (SAMID Network) (RD16/0022/0015)Spanish Ministry of Science, Innovation, and Universities AEI/10.13039/501100011033. PID2020-114821RB-I00Spanish Research Projects in Health sponsored by the Instituto de Salud Carlos III (State Plan for Scientific and Technical Research and Innovation) (FIS PI15/00995)
6 · The paper itself

Abstract

BACKGROUND/

objectivesLactating mothers have increased nutritional requirements, but nutritional adequacy is difficult to achieve. Additionally, human milk (HM) composition depends on maternal diet. However, the nutritional intake and status of mothers with hospitalized very preterm infants (MHVPIs) (<32 weeks of gestational age) have rarely been assessed. Hence, the aim of the present study was to determine the intake of macronutrients, micronutrients, and lipids, as well as the nutritional status of MHVPIs. The results were compared with a group of HM donors (HMDs), and associations with HM composition were evaluated using multiple linear regression.

methodsFor dietary assessment, a 5-day dietary record including supplement intake was completed by 15 MHVPIs and 110 HMDs. Vitamins and fatty acids (FA) were determined in plasma and erythrocytes; minerals and methylmalonic acid were determined in urine; and macronutrients, vitamins, minerals, and the lipid profile were determined in HM.

resultsConsidering dietary reference intakes, the dietary evaluation of MHVPIs revealed a high percentage of inadequate nutrient intake in relation to total energy, as well as for iodine and vitamins B8, B9, C, D, and E. A high protein intake was observed. The percentage of energy from carbohydrates was low, whereas the percentage of energy from fat was high. However, the diet of MHVPIs did not differ substantially from the diet of HMDs. Associations were observed between the study groups (MHVPI vs. HMD) and the HM concentration of protein, several micronutrients, and fatty acids independent from intake and status.

conclusionsDeficient nutrient intakes did not appear to be exclusively related to MHVPI but rather seemed to be widespread in both study groups. However, for preterm infants, an insufficient supply of nutrients is critical and should be addressed in order to improve preterm infant's outcomes. Furthermore, we provided additional insights into the exploration of HM by relating its composition to prematurity.

Indexed as

ErythrocytesInfant, Extremely PrematureLactationMilk, HumanAdultDietEnergy IntakeFemaleHospitalizationHumansInfant, NewbornInfant, PrematureMaleMaternal Nutritional Physiological PhenomenaMicronutrientsNutrientsMicronutrientsNutrientsbootstrappingbreast milk concentrationdietfatty acidsfood consumptionlipid profilemineralsmultivariate linear regression analysisnutritional circulating statusprematurityvitamins

Identifiers

PMID40507201
PMCPMC12158112

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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.