Evidence map›Paper›PMID 40175955›Full record

ArticleBMC pregnancy and childbirth2025

Maternal dietary patterns as predictors of neonatal body composition in Ethiopia: the IABC birth cohort study.

Daniela Viktoria Nickel, Rasmus Wibaek, Henrik Friis, Jonathan C K Wells, Tsinuel Girma, Pernille Kaestel, Kim F Michaelsen, Bitiya Admassu, Mubarek Abera, Matthias B Schulze and 2 more

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 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

12 authors.

Daniela Viktoria NickelDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam- Rehbruecke, Nuthetal, Germany. Daniela.Nickel@dife.de.ORCID http://orcid.org/0000-0002-7490-0779
Rasmus WibaekDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Henrik FriisDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Jonathan C K WellsPopulation Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK.
Tsinuel GirmaDepartment of Pediatrics and Child Health, Jimma University, Jimma, Ethiopia.
Pernille KaestelDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Kim F MichaelsenDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Bitiya AdmassuDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Mubarek AberaDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam- Rehbruecke, Nuthetal, Germany.
Ina Danquah *Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam- Rehbruecke, Nuthetal, Germany.
Gregers S Andersen *Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalnutrition during pregnancy is associated with adverse birth outcomes, but the importance of maternal diet during pregnancy for neonatal body composition remains inconclusive. This study investigated the role of maternal diet during pregnancy for neonatal body composition in the Ethiopian iABC birth cohort.

methodsThe data stemmed from the first visit at birth comprising 644 mother-child pairs. Shortly after delivery, the diet of the last week of pregnancy was assessed by a non-quantitative and non-validated 18-items food frequency questionnaire. Multiple imputation was used to handle missing data. Twin births and implausible values were excluded from analysis (n = 92). The Dietary Diversity Score (0-9 points) was constructed and exploratory dietary patterns were derived via principal component analysis. Neonatal fat mass and fat-free mass were assessed by air-displacement plethysmography. The associations of maternal Dietary Diversity Score and exploratory dietary patterns with gestational age, neonatal anthropometric measures and body composition were investigated using multiple-adjusted linear regression analysis.

resultsIn this cohort (n = 552), mean ± standard deviation (SD) mother's age was 24.1 ± 4.6 years and the median maternal Dietary Diversity Score was 6 (interquartile range = 5-7). An 'Animal-source food pattern' and a 'Vegetarian food pattern' were identified. The mean ± SD birth weight was 3096 ± 363 g and gestational age was 39.0 ± 1.0 weeks. Maternal adherence to the Animal-source food pattern, but not Vegetarian food pattern, was related to birth weight [79.5 g (95% confidence interval (CI): -14.6, 173.6)]. In the adjusted model, adherence to the Animal-source food pattern was associated with higher neonatal fat-free mass [53.1 g (95% CI: -20.3, 126.6)], while neonates of women with high compared to low adherence to Dietary Diversity Score and Vegetarian food pattern had higher fat mass [19.4 g (95% CI: -7.4, 46.2) and 33.5 g (95% CI: 2.8, 64.1), respectively].

conclusionsIn this Ethiopian population, maternal diet during pregnancy was associated with neonatal body composition. The analysis of body composition adds important detail to the evaluation of maternal dietary habits for the newborn constitution.

Indexed as

Body CompositionDietFeeding BehaviorMaternal Nutritional Physiological PhenomenaAdultBirth CohortBirth WeightCohort StudiesEthiopiaFemaleGestational AgeHumansInfant, NewbornMalePregnancyYoung AdultBody compositionDietary diversityDietary patternsEthiopiaiABCNeonatePregnancy

Identifiers

PMID40175955
PMCPMC11967154

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.