Evidence map›Paper›PMID 38385007›Full record

ArticleFrontiers in nutrition2024

Measurement of body composition in postpartum South African women living with and without HIV infection.

Hlengiwe P Madlala, Landon Myer, Hayli Geffen, Demi Meyer, Amy E Mendham, Julia H Goedecke, Angela M Bengtson, Jennifer Jao, Lara R Dugas

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.1field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

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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

9 authors at 5 institutions in 2 countries.

Hlengiwe P MadlalaDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa.
Landon MyerDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa.
Hayli GeffenDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa.
Demi MeyerDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa.
Amy E MendhamRiverland Academy of Clinical Excellence (RACE), Riverland Mallee Coorong Local Health Network, South Australia Health, Berri, SA, Australia.
Julia H GoedeckeDivision of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, Health Through Physical Activity, Lifestyle and Sport Research Centre (HPALS), FIMS International Collaborating Centre of Sports Medicine, University of Cape Town, Cape Town, South Africa.
Angela M BengtsonDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
Jennifer JaoDivision of Infectious Diseases, Department of Paediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Lara R DugasDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa.
University of Cape Town · ZAEmory University · USLoyola University Chicago · USNorthwestern University · USSouth African Medical Research Council · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While several methodologies are available to measure adiposity, few have been validated in sub-Saharan African (SSA) and none in postpartum African women living with HIV (WLHIV). We compared bioelectrical impendence analysis (BIA) and air displacement plethysmography (ADP) against dual Methods: Lin's concordance correlation coefficient (CCC) test was used to examine fat mass (FM), fat free mass (FFM), and total body fat percent (%BF) difference between BIA vs. DXA, and ADP vs. DXA in women living with HIV ( Results: The median age was 31 years (IQR, 26-35) and months postpartum were 11 (IQR, 7-16), 44% of the women had obesity. Lin's CCC for BIA and ADP vs. DXA were both 0.80 for %BF and 0.97 for FM, and 0.86 and 0.80 for FFM, respectively. Mean differences (DXA-BIA and ADP estimates) were 0.22 ± 4.54% ( Conclusion: Body composition measurements using BIA and ADP correlated well with DXA, thereby providing alternative, safe tools for measuring postpartum FM and FFM in SSA women, including WLHIV.

Indexed as

air displacement plethysmography (ADP)bioelectrical impedance analysis (BIA)body compositiondual-energy X-ray absorptiometry (DXA)postpartumwomen with HIV

Identifiers

PMID38385007
PMCPMC10879415
OpenAlexW4391609564

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.