Evidence map›Paper›PMID 37858163›Full record

ArticleBMC public health2023

Maternal weight trajectories and associations with infant growth in South African women.

Hlengiwe P Madlala, Angela M Bengtson, Luke Hannan, Thokozile R Malaba, Emma Kalk, Dorothy Nyemba, Andrew Boulle, Landon Myer

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. 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
1.2field-weighted citation impact, top 20% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  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

8 authors at 3 institutions in 2 countries.

Hlengiwe P MadlalaDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Western Cape, Cape Town, South Africa. hlengiwe.madlala@uct.ac.za.
Angela M BengtsonDepartment of Epidemiology, School of Public Health, Brown University, Providence, RI, USA.
Luke HannanDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Western Cape, Cape Town, South Africa.
Thokozile R MalabaDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Western Cape, Cape Town, South Africa.
Emma KalkCentre for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, Western Cape, Cape Town, South Africa.
Dorothy NyembaDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Western Cape, Cape Town, South Africa.
Andrew BoulleDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Western Cape, Cape Town, South Africa.
Landon MyerDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Western Cape, Cape Town, South Africa.
University of Cape Town · ZABrown University · USWestern Cape Department of Health · ZA

Funding

B positive_A population based evaluation of expanded ART access in pregnancyR01HD080465 · NICHD · UNIVERSITY OF CAPE TOWN · PI KALK, EMMA KATE · 2014 to 2019
$4.3M
NICHD NIH HHS R01 HD080465
6 · The paper itself

Abstract

backgroundDespite the close relationship between pre-pregnancy body mass index (BMI), gestational weight gain (GWG) and postpartum weight (PPW), these factors are often studied separately. There are no data characterising longitudinal weight trajectories among pregnant and postpartum women in urban African populations. We examined maternal weight trajectories from pregnancy through to 12 months postpartum, factors associated with higher weight trajectory class membership and associations of weight trajectories with infant growth at 12 months.

methodsData from 989 women were examined for weight trajectories from first antenatal care visit in pregnancy to 12 months postpartum using latent-class growth models. Baseline factors associated with class membership were assessed using multinomial logistic regression. Of the enrolled women, 613 of their infants were assessed for growth at 12 months. Anthropometry measurements for mothers and infants were conducted by a trained study nurse. Associations between maternal weight trajectory class and infant weight-for-age (WAZ), length-for-age (LAZ), weight-for-length (WLZ) at 12 months of age were analysed using linear regression.

resultsFour distinct classes of maternal weight trajectories were identified. The classes included consistent low (29%), consistent medium (37%), medium-high (24%) and consistent high (10%) trajectories. Similar to trends observed with medium-high trajectory, baseline factors positively associated with consistent high class membership included age (OR 1.05, 95% CI 1.01-1.09), pre-pregnancy BMI (OR 2.24, 95% CI 1.97-2.56), stage 1 hypertension (OR 3.28, 95% CI 1.68-6.41), haemoglobin levels (OR 1.39, 95% CI 1.11-1.74) and parity (OR 1.39, 95% CI 1.15-1.67); living with HIV (OR 0.47, 95% CI 0.30-0.74) was inversely associated. In adjusted analyses, compared to consistent medium weight trajectory, consistent low weight trajectory (mean difference -0.41, 95% CI -0.71;-0.12) was associated with decreased, and consistent high weight trajectory (mean difference 1.21, 95% CI 0.59-1.83) with increased infant WAZ at 12 months of age.

conclusionIdentification of unique longitudinal weight trajectory groupings might inform comprehensive efforts targeted at improving healthy maternal weight and infant outcomes.

Indexed as

Body-Weight TrajectoryBody Mass IndexFemaleHumansInfantMothersPostpartum PeriodPregnancyPrenatal CareSouth AfricaHIV infectionInfant growthLatent-class growth modellingMaternal weightPregnancy

Identifiers

PMID37858163
PMCPMC10588171
OpenAlexW4387798155

What OpenQuestion holds

Textmetadata
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.