Theoretical Antecedents of Male Adolescents’ Problematic Pornography Use: A Longitudinal Assessment
Bibliographic record
Abstract
Although considerable research has examined the antecedents of adolescents’ pornography use (PU), little data exist on the underlying mechanisms of problematic pornography use (PPU) in adolescence. To bridge this gap, the current longitudinal study examined the long-term associations between adolescent boys’ PU frequency, PPU, and theory-based predictors of PPU. Testing three conceptual models (the moral incongruence, out of control, and mood management models), we examined the relative contributions of impulsivity, depression/anxiety symptoms, and religiosity to PPU, controlling for PU over time. The analysis was conducted using a panel sample of 337 Croatian men (Mage = 15.9 years, SD = 0.52). Latent growth curve modeling showed that baseline levels of, and subsequent growth in PU predicted later higher levels of PPU, irrespective of participants’ religiosity, negative emotions, and impulsivity. Baseline higher levels of negative emotions and impulsivity predicted higher levels of PPU three years later, even after controlling for the growth in PU over time. Religiosity moderated the association between changes in PU and PPU. Growth in PU resulted in higher PPU among more religious adolescents, compared to their less religious peers. This study’s findings support all three conceptual models explaining PPU in adults and may guide clinical work with adolescents seeking help for PPU.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 teacher head, 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".