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Prevalence of problematic pornography use: a meta-analysis
Peter K H Chew1, Yong Jie Yow1, Charlize S Y Tan1
1James Cook University, 149 Sims Drive, Singapore 387380, Singapore.
Sexual Health
|September 22, 2025
Summary
This meta-analysis found a 13% pooled prevalence rate for problematic pornography use (PPU) globally. Significant variations in PPU rates were linked to study region, sample type, and assessment tools used.
Area of Science:
- Psychology
- Public Health
- Digital Media Studies
Background:
- Previous narrative reviews highlighted cross-cultural differences in problematic pornography use (PPU) prevalence.
- Statistical synthesis of global PPU prevalence rates was lacking, hindering a clear understanding of its public health impact.
Purpose of the Study:
- To conduct a meta-analysis to statistically determine the pooled prevalence rate of problematic pornography use (PPU) in the general population.
- To identify factors contributing to heterogeneity in reported PPU prevalence rates across studies.
Main Methods:
- A comprehensive literature search was performed on ProQuest, PsycArticles, and PubMed up to October 11, 2024.
- Data from 22 studies (N=31,566) were analyzed using Meta-Essentials with a random-effects model to calculate the pooled prevalence.
- Heterogeneity was assessed and explored using subgroup analyses based on study characteristics.
Main Results:
- The overall pooled prevalence rate for problematic pornography use (PPU) was 13.00% (95% CI: 8.00-19.00%).
- Significant heterogeneity was observed, with prevalence rates varying by study region, sample type (representative vs. convenience), and the specific PPU assessment instrument utilized.
- Publication bias was found to have a modest impact on the overall results.
Conclusions:
- Problematic pornography use (PPU) affects a significant portion of the population globally, with a pooled prevalence of 13%.
- Regional differences, sampling methodologies, and measurement tools are critical factors influencing reported PPU rates.
- Future research should investigate the 'forbidden fruit effect' and interaction effects among variables predicting PPU prevalence.
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