Evidence map›Paper›PMID 39563298›Full record

ArticleBMC public health2024

To eat or not to eat oats: factors associated with oats consumption using the I-Change model.

S Van Kol, H C van der Horst, H de Vries

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

S Van KolFaculty Health, Medicine, and Life Sciences, Maastricht University, Maastricht, The Netherlands.
H C van der HorstKeep Food Simple, Driebergen-Rijsenburg, The Netherlands.
H de VriesCAPHRI School for Public Health and Primary Care, Faculty of Health, Medicine and Life Sciences, Maastricht University, P.O. Box 616, Maastricht, 6200 MD, The Netherlands. hein.devries@maastrichtuniversity.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A suboptimal diet is responsible for more deaths worldwide than any other risk. A dietary factor that needs more attention is whole-grain consumption because of its proven health, nutritional, and environmental benefits. Despite these benefits, the daily whole-grain and dietary fibre intake by Dutch residents is low and the reasons for this low consumption are unknown. This study analysed the facilitating and hindering factors associated with (non) oat consumption using the Integrated Change Model (ICM). It compared which factors distinguished oat consumers from moderate and low-oat consumers using a cross-sectional, quantitative study design. The questionnaire used in the quantitative study was based on the results a qualitative study that validated the findings identified in the literature and previous ICM studies. Data was collected using an online survey (Qualtrics). In both studies, the sample of participants included individuals age > 18, of both genders residents in the Netherlands without an allergy to oats, and who read or speak fluently Dutch or English. In total, 299 residents were included in the study. The results indicated that non-oat consumers were less health-conscious, had limited awareness of their dietary behaviours, possessed less knowledge, and were less aware of the severity and susceptibility to various health conditions, such as high cholesterol. They also received fewer prompts to consume oats, were less convinced of the rational and emotional benefits of oats, experienced less social support, reported more obstacles, and had lower self-efficacy regarding oat consumption. The Integrated Change Model (ICM) explained 55% of the variance in intention and 38% in behaviour. Consequently, efforts to promote oat consumption among Dutch adults should address these factors to enhance awareness, increase motivation, and facilitate actions to boost oat intake.

Indexed as

AvenaAdolescentAdultAgedCross-Sectional StudiesDietFeeding BehaviorFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedNetherlandsSurveys and QuestionnairesYoung AdultAttitudeCognizanceConsumer behaviourOatsPredisposing factorsRisk perceptionSelf-efficacySocial normsThe Integrated Change Model (ICM)

Identifiers

PMID39563298
PMCPMC11577757

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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.