The Moderating Role of Regular Exercise on the Relationship Between Basic Psychological Need Frustration and Problematic Pornography Use: Two Pathways Corroborated by Two Complementary Methods
Bibliographic record
Abstract
Self-Determination Theory helps explain why individuals may use pornography to cope with stress, negative emotions, or boredom, potentially leading to problematic use. This study also examined whether regular physical exercise mitigates this. A total of 600 Chinese adult pornography users (Mage = 32.31, 39.83% women) were recruited. Findings revealed that coping motivations of pornography use worked as a mediator between basic psychological need frustration and problematic pornography use. Crucially, regular exercise significantly moderated these links: exercisers showed a weaker connection from needs frustration to coping motivations but a stronger connection from coping motivations to problematic use. Network analysis further clarified the specific roles of relatedness frustration and boredom avoidance in the first pathway, and stress reduction motivation in the second. While exercise demonstrates protective potential by attenuating the impact of need frustration on coping motivations, this cross-sectional study design precludes causal inferences.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".