Evidence map›Paper›PMID 41981024›Full record

ArticleScientific reports2026

Placental insufficiency and markers of fetal growth are associated with longitudinal infant growth and body composition trajectories up to two years of age.

Sanja Nel, Friedeburg Anna Maria Wenhold, Helen Mulol, Nonhlanhla Yende-Zuma, Ute Dagmar Feucht

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

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sanja NelDepartment of Human Nutrition, University of Pretoria, Pretoria, South Africa. nel.sanja@gmail.com.
Friedeburg Anna Maria WenholdDepartment of Human Nutrition, University of Pretoria, Pretoria, South Africa.
Helen MulolUniversity of Pretoria Research Centre for Maternal, Fetal, Newborn & Child Health Care Strategies, Atteridgeville, South Africa.
Nonhlanhla Yende-ZumaBiostatistics Research Unit, South African Medical Research Council, Durban, South Africa.
Ute Dagmar FeuchtUniversity of Pretoria Research Centre for Maternal, Fetal, Newborn & Child Health Care Strategies, Atteridgeville, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Placental insufficiency affects fetal nutrition and growth. We describe two-year anthropometric and body composition trajectories in term-born South African infants with/without placental insufficiency, and early-life predictors thereof. Eighty-one infants were screened for placental insufficiency at 28-34 weeks’ gestation using Doppler-derived umbilical artery resistance index (UmA-RI). At eight postnatal time points, z-scores were calculated for weight-for-age (WAZ), length-for-age (LAZ), weight-for-length (WLZ), BMI-for-age (BMIZ), and mid-upper arm circumference-for-age (MUACZ). Fat-free mass (FFM) and fat mass (FM) were assessed using deuterium dilution, and z-scores calculated for FM-for-age (FMZ), FFM-for-age (FFMZ), FM index-for-age (FMIZ), and FFM index-for-age (FFMIZ). Latent class trajectory modelling identified characteristic growth trajectories, and multivariable logistic models investigated predictors of growth trajectories. Three trajectory classes were identified for WAZ, LAZ, WLZ, BMIZ, and FFMZ, and two for MUACZ, FMZ, FMIZ, and FFMIZ. In multivariable analysis, lower birth weight z-score (BWZ) was associated with lower trajectories for WAZ (OR:9.32(95%CI:2.32-37.50)), WLZ (OR:2.95(95%CI:1.33-6.55)), BMIZ (OR:3.70(95%CI:1.56-9.09)), FMZ (OR:2.78(95%CI:1.37-5.55)), and FFMZ (OR:2.63(95%CI:1.45-4.76)). Higher (more abnormal) UmA-RI was associated with lower trajectories for LAZ (OR:1.95(95%CI:1.15-3.30) and FFMZ (OR:1.78(95%CI:1.13-2.80)). Thus, while BWZ predicts WAZ, WLZ, BMIZ, FMZ and FFMZ trajectories, UmA-RI predicts LAZ and FFMZ. Routine UmA-RI screening could identify fetuses at increased risk of later stunting.

Indexed as

Body CompositionChild DevelopmentFetal DevelopmentPlacental InsufficiencyBiomarkersDevelopmental Origins of Health and DiseaseFemaleHumansInfantInfant, NewbornLongitudinal StudiesPregnancyBiomarkersBody compositionFetal growth restrictionGrowth trajectoriesPlacental insufficiencyStunting

Identifiers

PMID41981024
PMCPMC13234325

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LicenceCC BY-NC-ND
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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.