Evidence map›Paper›PMID 27429277›Full record

ArticleHealthcare (Basel, Switzerland)2014

Dietary Intake Is Related to Multifactor Cardiovascular Risk Score in Obese Boys.

Tracy L Schumacher, Tracy L Burrows, Dylan P Cliff, Rachel A Jones, Anthony D Okely, Louise A Baur, Philip J Morgan, Robin Callister, May M Boggess, Clare E Collins

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Healthcare (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 4 institutions in 2 countries.

Tracy L SchumacherSchool of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW 2308, Australia. Tracy.Schumacher@uon.edu.au.
Tracy L BurrowsSchool of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW 2308, Australia. Tracy.Burrows@newcastle.edu.au.
Dylan P CliffEarly Start Research Institute, School of Education, Faculty of Social Science, University of Wollongong, Wollongong, NSW 2522, Australia. Dylanc@uow.edu.au.
Rachel A JonesEarly Start Research Institute, School of Education, Faculty of Social Science, University of Wollongong, Wollongong, NSW 2522, Australia. Rachelj@uow.edu.au.
Anthony D OkelyEarly Start Research Institute, School of Education, Faculty of Social Science, University of Wollongong, Wollongong, NSW 2522, Australia. Tokley@uow.edu.au.
Louise A BaurThe Children's Hospital at Westmead Clinical School, Sydney Medical School, University of Sydney, Sydney, NSW 2145, Australia. Louise.Baur@health.nsw.gov.au.
Philip J MorganPriority Research Center in Physical Activity and Nutrition, University of Newcastle, Newcastle, NSW 2308, Australia. Philip.Morgan@newcastle.edu.au.
Robin CallisterPriority Research Center in Physical Activity and Nutrition, University of Newcastle, Newcastle, NSW 2308, Australia. Robin.Callister@newcastle.edu.au.
May M BoggessSchool of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW 2308, Australia. May.Boggess@gmail.com.
Clare E CollinsSchool of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW 2308, Australia. Clare.Collins@newcastle.edu.au.
University of Newcastle Australia · AUUniversity of Wollongong · AUArizona State University · USThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) originates in childhood and early identification of risk factors provides an early intervention opportunity. The aim was to identify children at higher risk using a CVD risk score, developed from factors known to cluster in childhood. Risk was scored as very high (≥97.5th centile), high (≥95th), moderate (≥90th) or threshold (<90th) using normal pediatric reference ranges for 10 common biomedical risk factors. These were summed in a multifactor CVD risk score and applied to a sample of 285 observations from 136 overweight Australian children (41% male, aged 7-12 years). Strength of associations between CVD risk score and individual biomedical and dietary variables were assessed using univariate logistic regression. High waist circumference (Odds Ratio: 5.48 [95% CI: 2.60-11.55]), body mass index (OR: 3.22 [1.98-5.26]), serum insulin (OR: 3.37 [2.56-4.42]) and triglycerides (OR: 3.02 [2.22-4.12]) were all significantly related to CVD risk score. High intakes of total fat (OR: 4.44 [1.19-16.60]), sugar (OR: 2.82 [1.54-5.15]) and carbohydrate (OR 1.75 [1.11-2.77]) were significantly related to CVD risk score in boys only. This multifactor CVD risk score could be a useful tool for researchers to identify elevated risk in children. Further research is warranted to examine sex-specific dietary factors related to CVD risk in children.

Indexed as

cardiovascular riskchildhooddietnutritionobesity

Identifiers

PMID27429277
PMCPMC4934591
OpenAlexW2014414303

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.