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Record W4241039447 · doi:10.1080/13548500125267

Cancer prevention as a source of exercise motivation: An experimental test using protection motivation theory

2001· article· en· W4241039447 on OpenAlexaff
Kerry S. Courneya, Laurie Hellsten

Bibliographic record

VenuePsychology Health & Medicine · 2001
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of Alberta
FundersNational Cancer InstituteAmerican Cancer Society
KeywordsGeneralizability theoryColorectal cancerCancerPsychologyTest (biology)Analysis of varianceDiseaseCancer preventionClinical psychologySelf-efficacyVulnerability (computing)MedicineSocial psychologyInternal medicineDevelopmental psychology

Abstract

fetched live from OpenAlex

The present study examined whether cancer prevention is a meaningful source of exercise motivation using Protection Motivation Theory (PMT). Participants were 427 undergraduate students randomly assigned to read one of 16 persuasive communications that independently manipulated perceived vulnerability (PV), perceived severity (PS), response efficacy (RE) and self-efficacy (SE). A factorial ANOVA indicated a significant main effect for PS and a significant interaction between PS and RE. The interaction was such that individuals who were led to believe that colon cancer was a severe disease (high PS) were more motivated to exercise if they also believed that exercise was effective (high RE) as opposed to ineffective (low RE) in reducing their risk of colon cancer. Conversely, individuals led to believe that colon cancer was not a very severe disease (low PS) were not differentially motivated to exercise based on their RE beliefs. It was concluded that cancer prevention may be a meaningful source of exercise motivation but that further research is required to determine the replicability and generalizability of these results.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.741
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.179
GPT teacher head0.513
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations56
Published2001
Admission routes1
Has abstractyes

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