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Record W2991326636 · doi:10.1080/08870446.2019.1693570

Family history of cancer as a cue to action for physical activity behaviour and beliefs

2019· article· en· W2991326636 on OpenAlexaff
Kristina H. Karvinen, Jennifer Brunet, Lucas J. Carr

Bibliographic record

VenuePsychology and Health · 2019
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsInstitut du Savoir MontfortOttawa HospitalUniversity of OttawaNipissing University
Fundersnot available
KeywordsHealth belief modelCancerPsychologyPsychological interventionRisk perceptionVulnerability (computing)Clinical psychologySelf-efficacyRelative riskFamily historyMedicinePublic healthConfidence intervalSocial psychologyPerceptionHealth promotionInternal medicinePsychiatryPathology

Abstract

fetched live from OpenAlex

Objective: Examine if family history of cancer serves as a cue to action prompting adults to assess their personal risk of cancer, consider the consequences, and engage in physical activity (PA) if they believe it will reduce their risk.Design: Cross-sectional survey of adults with and without a close relative with cancer.Main Outcome Measures: Health Belief Model (HBM) constructs of perceived cancer vulnerability, perceived cancer severity, response effectiveness of PA, self-efficacy for PA, and barriers to PA, and moderate-to-vigorous intensity PA (MVPA).Results: Perceived barriers and self-efficacy correlated with MVPA in both groups (p < .05), and perceived vulnerability and response effectiveness correlated with MVPA in participants with a close relative with cancer (p < .05). In multiple regression analyses, HBM constructs accounted for 18.5% and 8.3% of the variability in MVPA among participants with and without a close relative with cancer, respectively. Participants with a close relative with cancer had greater perceived vulnerability to cancer compared to participants without a close relative with cancer (p < .001).Conclusion: Adults with and without a close relative with cancer may be differentially influenced by HBM constructs, and as a result may respond differently to PA interventions and public health messaging.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.815

Codex and Gemma teacher scores by category

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

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 head0.208
GPT teacher head0.549
Teacher spread0.340 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2019
Admission routes1
Has abstractyes

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