Evidence map›Paper›PMID 35708110›Full record

ArticleNutrition & dietetics : the journal of the Dietitians Association of Australia2022

Patterns of discretionary food intake among Australian children and their association with socio-demographic, lifestyle, and adiposity measures.

Flavia Fayet-Moore, Andrew McConnell, Kate Tuck, Peter Petocz, Tim Cassettari, Hania Rahimi-Ardabili, Michelle Blumfield, Skye Marshall

Open access · hybridAbstract read
In one paragraph

Article in Nutrition & dietetics : the journal of the Dietitians Association of Australia, 2022. 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
4.8field-weighted citation impact, top 5% 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, 24 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

8 authors at 2 institutions in 1 country.

Flavia Fayet-MooreDepartment of Science, Nutrition Research Australia, Sydney, New South Wales, Australia.
Andrew McConnellDepartment of Science, Nutrition Research Australia, Sydney, New South Wales, Australia.
Kate TuckDepartment of Science, Nutrition Research Australia, Sydney, New South Wales, Australia.
Peter PetoczDepartment of Science, Nutrition Research Australia, Sydney, New South Wales, Australia.
Tim CassettariDepartment of Science, Nutrition Research Australia, Sydney, New South Wales, Australia.
Hania Rahimi-ArdabiliDepartment of Science, Nutrition Research Australia, Sydney, New South Wales, Australia.
Michelle BlumfieldDepartment of Science, Nutrition Research Australia, Sydney, New South Wales, Australia.
Skye MarshallDepartment of Science, Nutrition Research Australia, Sydney, New South Wales, Australia.ORCID 0000-0001-8953-5068
Neuroscience Research Australia · AUBond University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAustralian children consume 35% of energy from discretionary food and beverages which increases their risk of non-communicable diseases like type 2 diabetes. Despite this concerning statistic, broad analysis of the profile of discretionary food intake has not been fully undertaken. This study asks: what is the discretionary food and beverage intake profile, contribution to nutrient intakes, and associations with demographic and health characteristics?

methodsCross-sectional data from the 2011-12 National Nutrition and Physical Activity Survey (n = 2812, 2-18 years) were used to profile discretionary food consumption. Dietary intake was assessed by 24-h recall. General linear models tested the difference in respondent characteristics by age group, sex, and quartiles of discretionary food energy contribution.

resultsNinety-nine percent of respondents consumed discretionary foods, 74% exceeded the maximum discretionary food recommended serves. Among 10 eating occasions available to select: snack, dinner, lunch and morning tea appeared to contribute 76% of discretionary food energy, with snack and dinner contributing 24% each. Age and frequency of discretionary food consumption were positively associated with energy intake from discretionary foods (p < 0.001); while sex, socio-economic status, physical activity and body composition had no association. High discretionary food consumers chose specific discretionary food items in a large quantity (1.0-3.5-serves/discretionary food) compared to low discretionary food consumers (0.4-1.4-serves/discretionary food).

conclusionsNearly all Australian children and adolescents consumed discretionary food daily. No demographic or anthropometric characteristics beyond increasing age were associated with higher discretionary food. Targeted public health policy and community interventions are required to focus on addressing the largest contributors to discretionary food intake in terms of equivalent serve sizes, popularity, and eating occasion.

Indexed as

AdiposityDiabetes Mellitus, Type 2AdolescentAustraliaChildCross-Sectional StudiesDietEatingHumansLife StyleMealsObesityadolescentchildrendietnutrient intakepopulation health

Identifiers

PMID35708110
PMCPMC9796583
OpenAlexW4283015974

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.