Evidence map›Paper›PMID 27806980›Full record

Trial reportThe American journal of clinical nutrition2016

Linear growth trajectories in Zimbabwean infants.

Ethan K Gough, Erica Em Moodie, Andrew J Prendergast, Robert Ntozini, Lawrence H Moulton, Jean H Humphrey, Amee R Manges

Registry-linked trialOpen access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal of clinical nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00198718 (Vitamin A Supplementation of Breast Feeding Mothers and Their Neonates at Delivery), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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.

NCT00198718 phase2completednot on this map

Vitamin A Supplementation of Breast Feeding Mothers and Their Neonates at Delivery: Impact on Mother to Child Transmission of HIV During Lactation, HIV Infection Among Women During the Postpartum Year, and Infant Mortality.

TypeinterventionalSponsorJohns Hopkins Bloomberg School of Public HealthRan1997 to 2020Enrolled28,220ConditionsVitamin A Deficiency, HIVArmsVitamin A (retinyl palmitate)
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 21 citations in OpenAlex.

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  12. Epidemiology of Underweight among Infants in Rural Burkina Faso.The American journal of tropical medicine and hygiene · 2021
    Article
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  15. Progress on growth faltering.The Lancet. Global health · 2017
    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

7 authors at 5 institutions in 4 countries.

Ethan K GoughDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.
Erica Em MoodieDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.
Andrew J PrendergastZvitambo Institute for Maternal Child Health Research, Harare, Zimbabwe.
Robert NtoziniZvitambo Institute for Maternal Child Health Research, Harare, Zimbabwe.
Lawrence H MoultonZvitambo Institute for Maternal Child Health Research, Harare, Zimbabwe.
Jean H HumphreyZvitambo Institute for Maternal Child Health Research, Harare, Zimbabwe.
Amee R MangesSchool of Population and Public Health, University of British Columbia, Vancouver, Canada amee.manges@ubc.ca.
Johns Hopkins University · USMcGill University · CAQueen Mary University of London · GBUniversity of British Columbia · CAZvitambo Institute for Maternal and Child Health Research · ZW

Funding

Wellcome Trust 108065/Z/15/Z
6 · The paper itself

Abstract

backgroundUndernutrition in early life underlies 45% of child deaths globally. Stunting malnutrition (suboptimal linear growth) also has long-term negative effects on childhood development. Linear growth deficits accrue in the first 1000 d of life. Understanding the patterns and timing of linear growth faltering or recovery during this period is critical to inform interventions to improve infant nutritional status.

objectiveWe aimed to identify the pattern and determinants of linear growth trajectories from birth through 24 mo of age in a cohort of Zimbabwean infants.

designWe performed a secondary analysis of longitudinal data from a subset of 3338 HIV-unexposed infants in the Zimbabwe Vitamin A for Mothers and Babies trial. We used k-means clustering for longitudinal data to identify linear growth trajectories and multinomial logistic regression to identify covariates that were associated with each trajectory group.

resultsFor the entire population, the mean length-for-age z score declined from -0.6 to -1.4 between birth and 24 mo of age. Within the population, 4 growth patterns were identified that were each characterized by worsening linear growth restriction but varied in the timing and severity of growth declines. In our multivariable model, 1-U increments in maternal height and education and infant birth weight and length were associated with greater relative odds of membership in the least-growth restricted groups (A and B) and reduced odds of membership in the more-growth restricted groups (C and D). Male infant sex was associated with reduced odds of membership in groups A and B but with increased odds of membership in groups C and D.

conclusionIn this population, all children were experiencing growth restriction but differences in magnitude were influenced by maternal height and education and infant sex, birth weight, and birth length, which suggest that key determinants of linear growth may already be established by the time of birth. This trial was registered at clinicaltrials.gov as NCT00198718.

Indexed as

Child DevelopmentBirth WeightBody HeightChild, PreschoolCluster AnalysisCohort StudiesFemaleGrowth DisordersHIV InfectionsHumansInfantInfant Nutritional Physiological PhenomenaLogistic ModelsLongitudinal StudiesMaleMalnutritionVitamin Achildreninfantslongitudinalmalnutritionprenatalstunting

Identifiers

PMID27806980
PMCPMC5118730
OpenAlexW2546714417

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.