Evidence map›Paper›PMID 35523897›Full record

ArticleEuropean journal of nutrition2022

The association of social and food preparation location context with the quality of meals and snacks consumed by young adults: findings from the MYMeals wearable camera study.

Virginia Chan, Lyndal Wellard-Cole, Alyse Davies, Wendy Watson, Clare Hughes, Kathy Chapman, Louise Signal, Cliona Ni Mhurchu, Leanne Wang, Danica D'Souza and 4 more

Abstract read
In one paragraph

Article in European journal of nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Trial
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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

14 authors.

Virginia ChanNutrition and Dietetics Group, Sydney Nursing School, Charles Perkins Centre, The University of Sydney, Sydney, NSW, 2006, Australia. virginia.chan@sydney.edu.au.ORCID http://orcid.org/0000-0002-8839-896X
Lyndal Wellard-ColeCancer Prevention and Advocacy Division, Cancer Council NSW, Woolloomooloo, NSW, 2011, Australia.
Alyse DaviesNutrition and Dietetics Group, Sydney Nursing School, Charles Perkins Centre, The University of Sydney, Sydney, NSW, 2006, Australia.
Wendy WatsonCancer Prevention and Advocacy Division, Cancer Council NSW, Woolloomooloo, NSW, 2011, Australia.
Clare HughesCancer Prevention and Advocacy Division, Cancer Council NSW, Woolloomooloo, NSW, 2011, Australia.
Kathy ChapmanHeart Foundation of Australia, Sydney, NSW, 2011, Australia.
Louise SignalHealth Promotion and Policy Research Unit, Department of Public Health, University of Otago, Wellington South, P.O Box 7343, Wellington, 6242, New Zealand.
Cliona Ni MhurchuNational Institute for Health Innovation, The University of Auckland, Auckland, 1023, New Zealand.
Leanne WangNutrition and Dietetics Group, Sydney Nursing School, Charles Perkins Centre, The University of Sydney, Sydney, NSW, 2006, Australia.
Danica D'SouzaNutrition and Dietetics Group, Sydney Nursing School, Charles Perkins Centre, The University of Sydney, Sydney, NSW, 2006, Australia.
Luke GemmingNutrition and Dietetics Group, Sydney Nursing School, Charles Perkins Centre, The University of Sydney, Sydney, NSW, 2006, Australia.
Anna RanganNutrition and Dietetics Group, Sydney Nursing School, Charles Perkins Centre, The University of Sydney, Sydney, NSW, 2006, Australia.
Adrian BaumanPrevention Research Collaboration, School of Public Health, The University of Sydney, Sydney, NSW, 2006, Australia.
Margaret Allman-FarinelliNutrition and Dietetics Group, Sydney Nursing School, Charles Perkins Centre, The University of Sydney, Sydney, NSW, 2006, Australia.

Funding

Australian Research Council and Cancer Council NSW LP150100831
6 · The paper itself

Abstract

purposeThis study examined the association of social contexts and food preparation location with the quality of meals and snacks (predominately from the five food groups (FFG) versus discretionary foods) in a sample of young Australian adults (18-30 years old) using wearable camera technology.

methodsA sub-sample from the cross-sectional MYMeals study wore a wearable camera that captured images every 30 s for three consecutive days. Eating episodes from 133 participants (55% female) were classified across 4 domains: food quality (observed proportion of FFG and discretionary items), preparation location, social interaction, and screen use. Socio-economic status (SES) was assigned using residential postcode and gender self-reported. Associations of contexts and demographic factors with food quality stratified by meal type were determined using mixed binary logistic regression models.

resultsOf the 1840 eating episodes identified, 1775 were included in analysis (n = 8 preparation location and n = 57 food components that could not be identified were excluded). Food prepared at home was more likely to be from the FFG at lunch (OR = 4.8 95% CI 2.7-8.6), dinner (OR = 14.8 95% CI 7.6-28.6), and snacks (OR = 3.2 95% CI 2.2-4.8). Participants from higher SES areas were more likely to consume breakfasts (OR = 3.2 95% CI 1.4-7.4) and lunches (OR = 1.9 95% CI 1.0-3.7) predominately from the FFG. Females were more likely to consume lunches (OR = 2.0 95% CI 1.1-3.8) that was largely from the FFG. Social interaction and screen use were not associated with meal or snack quality.

conclusionWearable cameras have verified the importance of addressing meals and snacks prepared outside of home as an important contributor of discretionary food.

Indexed as

SnacksWearable Electronic DevicesAdolescentAdultAustraliaCross-Sectional StudiesDietFeeding BehaviorFemaleHumansMaleMealsYoung AdultEating behaviourFood preparation locationNutritionSocial contextWearable camerasYoung adults

Identifiers

PMID35523897
PMCPMC9464156

What OpenQuestion holds

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LicenceCC BY
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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.