Evidence map›Paper›PMID 31683840›Full record

ArticleNutrients2019

Evaluation of the Proximity of Singaporean Children's Dietary Habits to Food-Based Dietary Guidelines.

Iain A Brownlee, Jasmine Low, Naageswari Duriraju, Mavis Chun, Jessica Xiu Yan Ong, Mia Eng Tay, Gilly A Hendrie, Lourdes Santos-Merx

Abstract read
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

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

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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

8 authors.

Iain A BrownleeFaculty of Health and Life Sciences, Northumbria University, Newcastle-upon-Tyne NE1 8ST, UK. iain.brownlee@northumbria.ac.uk.ORCID 0000-0003-0385-4995
Jasmine LowNewcastle Research and Innovation Institute, Devan Nair Building, Singapore 600201, Singapore. jasminelow93@gmail.com.
Naageswari DurirajuNewcastle Research and Innovation Institute, Devan Nair Building, Singapore 600201, Singapore. naageswariduriraju@gmail.com.
Mavis ChunCSIRO Nutrition & Health Program, SAHMRI Building, Adelaide SA5000, Australia. mavischunmc@gmail.com.
Jessica Xiu Yan OngNewcastle Research and Innovation Institute, Devan Nair Building, Singapore 600201, Singapore. jessicaxiuyan@gmail.com.
Mia Eng TaySchool of Chemical & Life Sciences, Nanyang Polytechnic, Singapore 569830, Singapore. tay_mia_eng@nyp.edu.sg.
Gilly A HendrieNewcastle Research and Innovation Institute, Devan Nair Building, Singapore 600201, Singapore. Gilly.Hendrie@csiro.au.
Lourdes Santos-MerxNewcastle Research and Innovation Institute, Devan Nair Building, Singapore 600201, Singapore. lourdes.santos-merx@dmu.ac.uk.ORCID 0000-0001-9063-3095

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dietary habits in children may not only impact current health status but could also shape future, lifelong dietary choices. Dietary intake data in Singaporean children are limited. The current study aimed to define the overall diet quality of Singaporean children using an existing cross-sectional dataset and to consider how demographic factors (i.e., body mass index (BMI) status, ethnicity, age, and sex) were associated with these scores. Existing, cross-sectional dietary data (

Indexed as

DietFeeding BehaviorNutrition PolicyBody Mass IndexChildCross-Sectional StudiesDemographyEthnicityFemaleHumansMaleNutritional RequirementsSingaporedietary patterndiet qualityfood-based dietary guidelinesfruitsvegetableswhole grains

Identifiers

PMID31683840
PMCPMC6893683

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.