Effect of theory of planned behavior-based educational intervention on HIV/AIDS preventive behaviors among male barbers
Bibliographic record
Abstract
Introduction:Based on the latest estimates of the United Nations Program on HIV/AIDS (UNAIDS), acquired immunodeficiency syndrome (AIDS) is now a public health challenge in Iran, and in 2018, 61,000 people were living with human immunodeficiency virus (HIV), of which 45,000 (75%) were men.This study aimed to evaluate effect of educational intervention based on theory of planned behavior (TPB) on HIV/AIDS preventive behaviors among male barbers. Material and methods:The current quasi-experimental study was conducted in 2019 among 120 male barbers, who were selected using stratified sampling method.Data were collected using a valid and reliable questionnaire based on TPB at baseline and post-intervention.Intervention was designed and performed according to TPB.Data were analyzed with SPSS version 20 using descriptive and inferential methods.Results: Mean age of barbers was 30.41 ± 8.43 years.At baseline, mean scores of TPB constructs were not significantly different between intervention and control groups (p > 0.05).However, in post-intervention phase, there was a significant difference between two investigated groups in mean scores of TPB constructs (p < 0.05).Conclusions: Findings of the current study showed that educational intervention based on TPB can enhance knowledge level, perceived behavioral control, and attitude and creation of appropriate subjective norms for formation of behavioral intention and promoting AIDS preventive behavior among barbers.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".