Evidence map›Paper›PMID 29257088›Full record

ArticleNutrients2017

Quantity and Quality of Carbohydrate Intake during Pregnancy, Newborn Body Fatness and Cardiac Autonomic Control: Conferred Cardiovascular Risk?

Kirsty M Mckenzie, Hasthi U Dissanayake, Rowena McMullan, Ian D Caterson, David S Celermajer, Adrienne Gordon, Jonathan Hyett, Alice Meroni, Melinda Phang, Camille Raynes-Greenow and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 22 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

12 authors at 1 institution in 1 country.

Kirsty M MckenzieBoden Institute of Obesity, Nutrition, Exercise & Eating Disorders, D17-Charles Perkins Centre, University of Sydney, Camperdown, NSW 2006, Australia. kirstymacknz@gmail.com.
Hasthi U DissanayakeBoden Institute of Obesity, Nutrition, Exercise & Eating Disorders, D17-Charles Perkins Centre, University of Sydney, Camperdown, NSW 2006, Australia. hdis1775@uni.sydney.edu.au.
Rowena McMullanBoden Institute of Obesity, Nutrition, Exercise & Eating Disorders, D17-Charles Perkins Centre, University of Sydney, Camperdown, NSW 2006, Australia. rowenamcm@gmail.com.
Ian D CatersonBoden Institute of Obesity, Nutrition, Exercise & Eating Disorders, D17-Charles Perkins Centre, University of Sydney, Camperdown, NSW 2006, Australia. ian.caterson@sydney.edu.au.ORCID 0000-0002-6139-3632
David S CelermajerSydney Medical School, D17-Charles Perkins Centre, University of Sydney, Camperdown, NSW 2006, Australia. David.Celermajer@health.nsw.gov.au.
Adrienne GordonSydney Medical School, D17-Charles Perkins Centre, University of Sydney, Camperdown, NSW 2006, Australia. adrienne.gordon@sydney.edu.au.
Jonathan HyettSydney Medical School, D17-Charles Perkins Centre, University of Sydney, Camperdown, NSW 2006, Australia. Jon.Hyett@sswahs.nsw.gov.au.
Alice MeroniBoden Institute of Obesity, Nutrition, Exercise & Eating Disorders, D17-Charles Perkins Centre, University of Sydney, Camperdown, NSW 2006, Australia. alice.meroni@sydney.edu.au.
Melinda PhangBoden Institute of Obesity, Nutrition, Exercise & Eating Disorders, D17-Charles Perkins Centre, University of Sydney, Camperdown, NSW 2006, Australia. melinda.phang@sydney.edu.au.
Camille Raynes-GreenowSydney School of Public Health, Edward Ford Building, Fisher Road, University of Sydney, Sydney, NSW 2006, Australia. camille.raynes-greenow@sydney.edu.au.ORCID 0000-0002-8802-6226
Jaimie W PolsonSydney Medical School, D17-Charles Perkins Centre, University of Sydney, Camperdown, NSW 2006, Australia. jaimie.polson@sydney.edu.au.
Michael R SkiltonBoden Institute of Obesity, Nutrition, Exercise & Eating Disorders, D17-Charles Perkins Centre, University of Sydney, Camperdown, NSW 2006, Australia. michael.skilton@sydney.edu.au.ORCID 0000-0003-2793-2388
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fetal environment has an important influence on health and disease over the life course. Maternal nutritional status during pregnancy is potentially a powerful contributor to the intrauterine environment, and may alter offspring physiology and later life cardio-metabolic risk. Putative early life markers of cardio-metabolic risk include newborn body fatness and cardiac autonomic control. We sought to determine whether maternal dietary carbohydrate quantity and/or quality during pregnancy are associated with newborn body composition and cardiac autonomic function. Maternal diet during pregnancy was assessed in 142 mother-infant pairs using a validated food frequency questionnaire. Infant adiposity and body composition were assessed at birth using air-displacement plethysmography. Cardiac autonomic function was assessed as heart rate variability. The quantity of carbohydrates consumed during pregnancy, as a percentage of total energy intake, was not associated with meaningful differences in offspring birth weight, adiposity or heart rate variability (

Indexed as

AdiposityCardiovascular Physiological PhenomenaMaternal Nutritional Physiological PhenomenaAdultBirth WeightBody CompositionBody Mass IndexCardiovascular DiseasesDietDietary CarbohydratesDietary FatsDietary FiberDietary ProteinsFemaleGlycemic IndexGlycemic LoadDietary CarbohydratesDietary FatsDietary FiberDietary Proteinsadiposityautonomic functionbody compositioncarbohydratefibreglycaemic indexglycaemic loadheart rate variabilityinfantmaternal diet

Identifiers

PMID29257088
PMCPMC5748825
OpenAlexW2777242670

What OpenQuestion 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 OpenQuestion graph.