A Longitudinal Examination of the Mediating Role of Body Dissatisfaction in the Relationship Between Pornography Use Frequency and Eating Disturbances: A Cross-Lagged Mediation Model
Bibliographic record
Abstract
Abstract Albeit a positive association between pornography use frequency (PUF) and body dissatisfaction has been identified, studies examining the link between PUF and disordered eating behavior (DEB) have been highly limited in scope (e.g., only focused on men) and have several limitations (e.g., lack of a longitudinal study design and small sample size). The present study aimed to address one of these gaps by examining the longitudinal associations between PUF and DEB, while considering the mediating role of body dissatisfaction over a 1-year period in a sample of young adults. We performed an autoregressive cross-lagged analysis with a multi-group approach among 3764 adults ( M age = 23.00, SD age = 4.74, 48.24% men and 51.75% women). Our findings showed that higher levels of PUF were cross-sectionally associated with higher levels of DEB among men and women at T1. However, at T2, higher levels of PUF were associated with lower levels of DEB among men and women. Longitudinally, baseline PUF was positively associated with DEB among men and women. However, the reverse association was not observed. Furthermore, the results indicated that body dissatisfaction partially mediated the associations of PUF at baseline (T1) with DEB at the 1-year follow-up (T2) both for men ( b indirect = .047, 95% CI [.012, .078], p = .011) and women ( b indirect = .033, 95% CI [.001, .059], p = .044). Body dissatisfaction seems to play a significant mediating role in the relationship between PUF and DEB. Clinicians treating clients with DEB may consider PUF as a potential contributing factor to the development of eating disturbances via body dissatisfaction.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".