Evidence mapPaperPMID 35801513Full record

SynthesisObesity reviews : an official journal of the International Association for the Study of Obesity2022

Association between maternal adiposity measures and infant health outcomes: A systematic review and meta-analysis.

Giang Nguyen, Louise Hayes, Lem Ngongalah, Theophile Bigirumurame, Laura Gaudet, Adefisayo Odeniyi, Angela Flynn, Lisa Crowe, Becky Skidmore, Alexandre Simon and 2 more

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Association between maternal adiposity measures and infant health outcomes: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
    Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Early Pregnancy Waist Circumference for Prediction of Fetal Macrosomia.Reproductive sciences (Thousand Oaks, Calif.) · 2025
    Article
  9. Expected and Desirable Preterm and Small Infant Growth Patterns.Advances in nutrition (Bethesda, Md.) · 2024
    Review
  10. Observational
  11. Article
  12. 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

12 authors at 6 institutions in 2 countries.

Giang NguyenPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0002-9536-0492
Louise HayesPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0001-6442-4150
Lem NgongalahPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0001-6920-7622
Theophile BigirumuramePopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Laura GaudetDepartment of Obstetrics and Gynaecology, Queen's University, Kingston, Ontario, Canada.ORCID 0000-0002-7527-5354
Adefisayo OdeniyiPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0002-1834-2696
Angela FlynnDepartment of Nutritional Sciences, King's College London, London, UK.ORCID 0000-0001-8438-1506
Lisa CrowePopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0002-9814-2124
Becky SkidmoreIndependent Information Specialist, Ottawa, Ontario, Canada.ORCID 0000-0001-8293-9238
Alexandre SimonDepartment of Obstetrics and Gynaecology, University of Ottawa, Ottawa, Ontario, Canada.
Vikki SmithNursing, Midwifery & Health, Northumbria University, Newcastle upon Tyne, UK.
Nicola HeslehurstPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0001-8656-2319
Newcastle University · GBKing's College London · GBNorthumbria University · GBOldham Council · GBQueen's University · CAUniversity of Ottawa · CA

Funding

Department of Health CDF-2018-11-ST2-011Department of Health NIHR200173Medical Research Council MR/K02325X/1
6 · The paper itself

Abstract

Maternal obesity increases risks of adverse fetal and infant outcomes. Guidelines use body mass index to diagnose maternal obesity. Evidence suggests body fat distribution might better predict individual risk, but there is a lack of robust evidence during pregnancy. We explored associations between maternal adiposity and infant health. Searches included six databases, references, citations, and contacting authors. Screening and quality assessment were carried out by two authors independently. Random effects meta-analysis and narrative synthesis were conducted. We included 34 studies (n = 40,143 pregnancies). Meta-analysis showed a significant association between maternal fat-free mass and birthweight (average effect [AE] 18.07 g, 95%CI 12.75, 23.38) but not fat mass (AE 8.76 g, 95%CI -4.84, 22.36). Women with macrosomic infants had higher waist circumference than controls (mean difference 4.93 cm, 95% confidence interval [CI] 1.05, 8.82). There was no significant association between subcutaneous fat and large for gestational age (odds ratio 1.06 95% CI 0.91, 1.25). Waist-to-hip ratio, neck circumference, skinfolds, and visceral fat were significantly associated with several infant outcomes including small for gestational age, preterm delivery, neonatal morbidity, and mortality, although meta-analysis was not possible for these variables. Our findings suggest that some measures of maternal adiposity may be useful for risk prediction of infant outcomes. Individual participant data meta-analysis could overcome some limitations in our ability to pool published data.

Indexed as

Pregnancy in ObesityPremature BirthAdiposityBirth WeightFemaleHumansInfantInfant HealthInfant, NewbornPregnancyadiposityinfantobesitypregnancy

Identifiers

PMID35801513
PMCPMC9539955
OpenAlexW4284895058

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.