Evidence map›Paper›PMID 29161908›Full record

Observational studyBiological research for nursing2018

An Exploration of the Determinants of Gestational Weight Gain in African American Women: Genetic Factors and Energy Expenditure.

Ying Meng, Susan W Groth, Patricia Stewart, Joyce A Smith

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Biological research for nursing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Coping with Stress in Complicated Pregnancy and Gestational Weight Gain.International journal of environmental research and public health · 2021
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Observational
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 2 institutions in 1 country.

Ying Meng1 Clinical and Translational Science Institute, University of Rochester, Rochester, NY, USA.
Susan W Groth2 School of Nursing, University of Rochester, Rochester, NY, USA.
Patricia Stewart3 Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA.
Joyce A Smith2 School of Nursing, University of Rochester, Rochester, NY, USA.
University of Rochester · USUniversity of Rochester Medical Center · US

Funding

UNIVERSITY OF ROCHESTER'S RESEARCH ASSOCIATE ORGANIZATIONUL1RR024160 · NCRR · UNIVERSITY OF ROCHESTER · PI PEARSON, THOMAS ARTHUR · 2006 to 2011
$38.7M
The University of Rochester's Clinical and Translational Science InstituteUL1TR000042 · NCATS · UNIVERSITY OF ROCHESTER · PI BENNETT, NANCY M, KIEBURTZ, KARL D. · 2012 to 2015
$14.4M
The University of Rochester's Clinical and Translational Science InstituteKL2RR024136 · NCRR · UNIVERSITY OF ROCHESTER · PI PEARSON, THOMAS ARTHUR · 2006 to 2011
$4.3M
NRSA Training CoreTL1TR002000 · NCATS · UNIVERSITY OF ROCHESTER · PI THAKAR, JUILEE, VAN WIJNGAARDEN, EDWIN · 2016 to 2024
$4.1M
Limiting the phenotypic effect of pregnancy related weight gainK23NR010748 · NINR · UNIVERSITY OF ROCHESTER · PI GROTH, SUSAN W · 2009 to 2011
$388k
NCATS NIH HHS TL1 TR002000NCATS NIH HHS UL1 TR000042NCRR NIH HHS KL2 RR024136NCRR NIH HHS UL1 RR024160NINR NIH HHS K23 NR010748
6 · The paper itself

Abstract

backgroundExcessive gestational weight gain (GWG) has a long-term impact on women's body weight and contributes to the development of obesity in the mother and her child. Many risk factors for GWG have been identified, but to date, only 6-33.8% of the variance in GWG has been explained. The purpose of this study was to evaluate the overall variance of GWG that can be explained by including weight-adjusted resting metabolic rate (aRMR) and a genetic risk score constructed on obesity-related genes in addition to sociodemographic and lifestyle factors.

methodsIn this observational study involving 55 African American women, data collected/measured during pregnancy included sociodemographic factors, medical information, lifestyle factors, aRMR, and seven obesity-related genes. Multivariable linear regression was performed to evaluate the variance in GWG explained by the potential risk factors listed above.

resultsThe mean GWG was 15 kg (±7.5 kg), and 63.6% of women gained more than the Institute of Medicine's GWG recommendations. The final regression model explained 53.3% of the variance in GWG. Higher genetic risk score, lower aRMR, and higher dietary intake of total energy and percentage of fat were significantly associated with increased GWG ( p < .05). These factors explained 18% additional variance in GWG over that explained by significant sociodemographic and lifestyle factors in the analysis (i.e., maternal age, prepregnancy body mass index, parity, illegal drug use, and education).

conclusionOverall, our results indicate that the genetic risk score, aRMR, and dietary intake have a substantial impact on GWG in African American women.

Indexed as

Energy MetabolismAdultBlack or African AmericanBody Mass IndexFemaleGestational Weight GainHumansLife StyleObesityPregnancyPregnancy ComplicationsPrenatal Nutritional Physiological PhenomenaRisk Factorsdietary intakeenergy expendituregeneobesitypregnancy

Identifiers

PMID29161908
PMCPMC5896561
OpenAlexW2792861199

What OpenQuestion holds

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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.