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Record W4361280447 · doi:10.1080/10810730.2023.2196519

Public Health Messaging to Address Indoor Tanning: A Scoping Review

2023· review· en· W4361280447 on OpenAlex
Sydney Gosselin, Abhinand Thaivalappil, Andrew Papadopoulos, Jennifer E. McWhirter

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Health Communication · 2023
Typereview
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsHealth communicationPsychological interventionNarrative reviewNormativeNarrativePersuasive communicationPublic healthPsychologyMedicineApplied psychologyInternet privacyPersuasionSocial psychologyNursingComputer sciencePolitical scienceCommunication

Abstract

fetched live from OpenAlex

Indoor tanning (IT) is an avoidable skin cancer risk. Although numerous communication interventions have been assessed for IT deterrence, less attention has been paid to the persuasive messages within these interventions. This scoping review summarizes the current peer-reviewed literature on persuasive messages for IT. Overall, 20 articles (21 studies) were included. Most were experimental or quasi-experimental and conducted in the US. Participants were mostly young women who had tanned indoors before. Few studies evaluated persuasive theme; in those that did, health and appearance themes were effective. Narrative and statistical evidence formats were also effective. The included studies also supported normative messages, loss-framed messages, and images. Improved reporting on message design and evaluation would be beneficial for future evidence synthesis. Our understanding of persuasive messages for IT has expanded in recent years, but more research is needed to optimize them.

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.

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)0.016
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.838
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.002
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 head0.677
GPT teacher head0.619
Teacher spread0.058 · 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