Evidence map›Paper›PMID 29194425›Full record

ArticleChildren (Basel, Switzerland)2017

Contribution of Discretionary Foods and Drinks to Australian Children's Intake of Energy, Saturated Fat, Added Sugars and Salt.

Brittany J Johnson, Lucinda K Bell, Dorota Zarnowiecki, Anna M Rangan, Rebecca K Golley

Open access · goldAbstract read
In one paragraph

Article in Children (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 96 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

5 authors at 2 institutions in 1 country.

Brittany J JohnsonSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA 5000, Australia. brittany.johnson@mymail.unisa.edu.au.ORCID 0000-0001-5492-9219
Lucinda K BellSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA 5000, Australia. lucy.bell@unisa.edu.au.
Dorota ZarnowieckiSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA 5000, Australia. dorota.zarnowiecki@unisa.edu.au.
Anna M RanganSchool of Life and Environmental Sciences, Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia. anna.rangan@sydney.edu.au.ORCID 0000-0003-1815-844X
Rebecca K GolleySchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA 5000, Australia. rebecca.golley@unisa.edu.au.
University of South Australia · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interventions are required to reduce children's consumption of discretionary foods and drinks. To intervene we need to identify appropriate discretionary choice targets. This study aimed to determine the main discretionary choice contributors to energy and key nutrient intakes in children aged 2-18 years. Secondary analyses were performed with population weighted, single 24 h dietary recall data from the 2011-2012 National Nutrition and Physical Activity Survey. Cakes, muffins, and slices; sweet biscuits; potato crisps and similar snacks; and, processed meats and sugar-sweetened drinks were relatively commonly consumed and were within the top three to five contributors to per capita energy, saturated fat, sodium, and/or added sugars. Per consumer intake identified cereal-based takeaway foods; cakes, muffins and slices; meat pies and other savoury pastries; and, processed meats as top contributors to energy, saturated fat, and sodium across most age groups. Subgroups of sugar-sweetened drinks and cakes, muffins and slices were consistently key contributors to added sugars intake. This study identified optimal targets for interventions to reduce discretionary choices intake, likely to have the biggest impact on moderating energy intake while also reducing intakes of saturated fat, sodium and/or added sugars.

Indexed as

child obesity preventiondietary intakeenergy-densenutrient-poor

Identifiers

PMID29194425
PMCPMC5742749
OpenAlexW2771220711

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.