Evidence map›Paper›PMID 28219423›Full record

ArticleBMC public health2017

Predictors of dieting and non-dieting approaches among adults living in Australia.

Stuart Leske, Esben Strodl, Xiang-Yu Hou

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Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Stuart LeskeSchool of Psychology and Counselling, Queensland University of Technology, Victoria Park Road. Kelvin Grove, Brisbane, QLD, 4059, Australia.
Esben StrodlSchool of Psychology and Counselling, Queensland University of Technology, Victoria Park Road. Kelvin Grove, Brisbane, QLD, 4059, Australia. e.strodl@qut.edu.au.
Xiang-Yu HouSchool of Public Health and Social Work, Queensland University of Technology, Victoria Park Road. Kelvin Grove, Brisbane, QLD, 4059, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a dearth of research comparing why dieting and non-dieting approaches are adopted. A greater understanding of reasons underlying dieting and non-dieting attempts will help to identify target beliefs for interventions to support and motivate adults to attempt whatever approach they are willing and/or able to pursue. We investigated the predictors of dieting and non-dieting approaches in Australian adults using predictors that were identified in a previous qualitative study.

methodsWe conducted a prospective study, with two waves of data collection occurring 4 weeks apart. At baseline, participants completed a questionnaire assessing constructs drawn from the theory of planned behaviour (attitude, subjective norm, and self-efficacy), past behaviour, non-planning, attributions for dieting failure, weight control beliefs, and dieting and non-dieting intentions. We used path modelling to analyse responses.

resultsAt baseline, 719 adults (52.2% male) aged between 18 and 76 completed the questionnaire. Four weeks later, 64% of participants (n = 461) reported on their dieting and non-dieting behaviour in the past month. Past behaviour, attitude, subjective norm, and self-identity significantly predicted dieting intentions. Dieting intentions and past behaviour significantly predicted dieting behaviour, while non-planning and self-efficacy did not. The model explained 74.8% of the variance in intention and 52.9% of the variance in behaviour. While most findings were similar for the non-dieting model, subjective norms and self-identity did not predict intention, while self-efficacy and self-identity both predicted non-dieting behaviour directly. The non-dieting model explained 58.2% of the variance in intention and 37.5% of the variance in behaviour.

conclusionsThe findings from this study provide support for the application of TPB and identity theory constructs in the context of both dieting and non-dieting behaviour. Self-efficacy and self-identity appear more relevant to non-dieting behaviour than dieting behaviour, while subjective norms was more influential in predicting dieting. Practitioners wishing to encourage either approach in their clients should attempt to modify the constructs that influence each approach.

Indexed as

Feeding BehaviorHealth Knowledge, Attitudes, PracticeSelf EfficacyAdultAgedAustraliaChoice BehaviorDietDiet, ReducingFemaleHumansIntentionMaleMiddle AgedOverweightProspective StudiesDietingIdentity theoryLocus of controlNon-dietingNon-planningSelf-efficacySelf-identityTheory of planned behaviourWeight control beliefs

Identifiers

PMID28219423
PMCPMC5319048

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LicenceCC BY
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Registered trials

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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.