Evidence map›Paper›PMID 32604132›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2020

HIV-Exposed, Uninfected Infants in Uganda Experience Poorer Growth and Body Composition Trajectories than HIV-Unexposed Infants.

Charlotte E Lane, Elizabeth M Widen, Shalean M Collins, Sera L Young

Open access · greenAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.1field-weighted citation impact, top 25% 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.

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

17 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Poorer Longitudinal Growth Among HIV Exposed Compared With Unexposed Infants in Kenya.Journal of acquired immune deficiency syndromes (1999) · 2025
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  6. Review
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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

4 authors at 3 institutions in 1 country.

Charlotte E LaneDepartment of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Elizabeth M WidenDepartment of Nutritional Science, University of Texas at Austin, Austin, TX.
Shalean M CollinsDepartment of Anthropology, Northwestern University, Evanston, IL; and.
Sera L YoungDepartment of Anthropology, Northwestern University, Evanston, IL; and.
Northwestern University · USThe University of Texas at Austin · USUniversity of North Carolina at Chapel Hill · US

Funding

Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Elizabeth T. Gershoff · 2017 to 2026
$5.2M
OBESITY RESEARCH CENTER TRAINING PROGRAMT32DK007559 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI DYMPNA GALLAGHER · 1989 to 2026
$4.3M
Health Consequences of Food & Nutrition Insecurity for HIV+ Women & Their InfantsK01MH098902 · NIMH · NORTHWESTERN UNIVERSITY · PI YOUNG, SERA LEWISE · 2012 to 2016
$854k
Pregnancy weight trajectories and offspring adiposityR00HD086304 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI WIDEN, ELIZABETH MARIE · 2018 to 2020
$744k
Interdisciplinary Training in Nutritional and Population Health SciencesT32DK091227 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUSSER, EZRA S., WOLGEMUTH, DEBRA J. · 2011 to 2015
$606k
Pregnancy weight trajectories and offspring adiposityK99HD086304 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI WIDEN, ELIZABETH MARIE · 2016 to 2017
$258k
NICHD NIH HHS K99 HD086304NICHD NIH HHS P2C HD042849NICHD NIH HHS R00 HD086304NIDDK NIH HHS T32 DK007559NIDDK NIH HHS T32 DK091227NIMH NIH HHS K01 MH098902
6 · The paper itself

Abstract

backgroundHIV-uninfected infants of HIV-positive women may experience worse growth and health outcomes than infants of HIV-negative women, but this has not been thoroughly investigated under the World Health Organization's most recent recommendations to reduce vertical transmission.

objectiveTo determine whether HIV-exposed and -uninfected (HEU) infants whose mothers received Option B+ have higher odds of experiencing suboptimal growth trajectories than HIV-unexposed, -uninfected infants, and if this relationship is affected by food insecurity.

designRepeated anthropometric measures were taken on 238 infants (HEU = 86) at 1 week and 1, 3, 6, 9, and 12 months after delivery in Gulu, Uganda. Latent class growth mixture modeling was used to develop trajectories for length-for-age z-scores, weight-for-length z-scores, mid-upper arm circumference, sum of skinfolds, and arm fat area. Multinomial logistic models were also built to predict odds of trajectory class membership, controlling for socioeconomic factors.

resultsHEU infants had greater odds of being in the shortest 2 length-for-age z-scores trajectory classes [odds ratio (OR) = 3.80 (1.22-11.82), OR = 8.72 (1.80-42.09)] and higher odds of being in smallest sum of skinfolds trajectory class [OR = 3.85 (1.39-10.59)] vs. unexposed infants. Among HEU infants, increasing food insecurity was associated with lower odds of being in the lowest sum of skinfolds class [OR = 0.86 (0.76-0.98)].

conclusionsThere continues to be differences in growth patterns by HIV-exposure under the new set of World Health Organization guidelines for the prevention of mother-to-child transmission of HIV and the feeding of HEU infants in low-resource settings that are not readily identified through traditional mixed-effects modeling. Food insecurity was not associated with class membership, but differentially affected adiposity by HIV-exposure status.

Indexed as

Child DevelopmentBody CompositionFemaleHIV InfectionsHumansInfantInfant, NewbornLogistic ModelsMalePregnancyPregnancy Complications, InfectiousPrenatal Exposure Delayed EffectsUganda

Identifiers

PMID32604132
PMCPMC7492413
OpenAlexW3038928716

What OpenQuestion holds

Textmetadata
LicenceTDM
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.