Psychosocial Determinants of Lyme Disease Preventive Behavior Among Outdoor Recreationists
Bibliographic record
Abstract
The incidence of Lyme disease (LD) has grown over time despite extensive awareness campaigns of disease risk. While previous research has explored public knowledge, perceptions, and attitudes toward tick-borne diseases, there is minimal research in understanding preventive behavior among individuals frequently engaging in outdoor recreation. This study addresses this gap by investigating the perceptions of LD preventive behavior, focusing on psychosocial factors influencing behavior. Utilizing an integrative framework incorporating the Health Belief Model and Social Cognitive Theory, we examined outdoor recreationist performance of three key preventive behaviors: tick checks, tick repellent use, and protective clothing. Data were collected through intercept surveys at Bradbury Mountain State Park (Maine, US). Findings indicate that tick-related knowledge and experience have a limited impact on preventive behavior, while efficacy beliefs and perceived benefits significantly influence behavior. In this paper we discuss the implications of these factors to both theory and practice in LD prevention studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".