Evidence map›Paper›PMID 24645936›Full record

ArticleBMC public health2014

An examination of the demographic predictors of adolescent breakfast consumption, content, and context.

Barbara Mullan, Cara Wong, Emily Kothe, Kathleen O'Moore, Kristen Pickles, Kirby Sainsbury

Abstract read
In one paragraph

Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Gender Differences in Eating Habits of Polish Young Adults Aged 20-26.International journal of environmental research and public health · 2022
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  15. High occurrence of food insecurity in young people attending a youth mental health service in regional Australia.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2022
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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

6 authors.

Barbara Mullan
Cara Wong
Emily KotheSchool of Psychology, Deakin University, Melbourne, VIC, 3125, Australia. emily.kothe@deakin.edu.au.
Kathleen O'Moore
Kristen Pickles
Kirby Sainsbury

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreakfast consumption is important to health; however, adolescents often skip breakfast, and an increased understanding of the breakfast consumption patterns of adolescents is needed. The purpose of this study was to identify the predictors of breakfast eating, including the content and context, in an adolescent sample from Australia and England.

methodsFour-hundred and eighty-one students completed an online questionnaire measuring breakfast skipping, and breakfast content (what was eaten) and context (who they ate with, involvement in preparation). Logistic regression was conducted to investigate the predictors of skipping breakfast, breakfast context, and consumption of the ten most commonly consumed foods. Chi-square analyses were used to examine differences in breakfast content according to context.

resultsMost students (88%) had consumed breakfast on the day of the survey; breakfast skipping was more common in England (18%) than in Australia (8%). Country, gender, socioeconomic status, and body mass index (BMI) were all predictors of breakfast content and context. Whether adolescents ate with others and/or were involved in breakfast preparation predicted the content of breakfast consumed.

conclusionsThis study provides a comprehensive examination of the factors underlying breakfast consumption (content and context) and has important implications for the development of evidence-based interventions to improve rates of breakfast consumption and the quality of food consumed amongst adolescents.

Indexed as

Adolescent BehaviorBreakfastFeeding BehaviorAdolescentAustraliaBody Mass IndexCross-Sectional StudiesDietEnglandFemaleHumansMaleSex DistributionSocioeconomic FactorsStudentsSurveys and Questionnaires

Identifiers

PMID24645936
PMCPMC4000053

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.