A Cross-Sectional Study on Pornography Use and Sex Differences Among High School Students

The prevalence of pornography among high school students is relatively high. Male sex is an associated factor for higher pornography viewing and should be considered when designing public health interventions in a related context. Increasing education about this topic in high school settings is crucial.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2024-11-26
DOI
https://doi.org/10.7759/cureus.74482
Primary Topic
Sexuality, Behavior, and Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Cross-Sectional Study on Pornography Use and Sex Differences Among High School Students

Ali Jotiar Mahmood, Kareen Yarwant Naisan, Rojeen Chalabi Khalid, Vindad Hashim Dirbas et al.
Cureus
Sexuality, Behavior, and Technology
article

A Cross-Sectional Study on Pornography Use and Sex Differences Among High School Students

Ali Jotiar Mahmood, Kareen Yarwant Naisan, Rojeen Chalabi Khalid, Vindad Hashim Dirbas, Hajar Hassan Abdulqadir, Zafar Ahmed, Duaa Farhad Hasan
article en

Abstract

The prevalence of pornography among high school students is relatively high. Male sex is an associated factor for higher pornography viewing and should be considered when designing public health interventions in a related context. Increasing education about this topic in high school settings is crucial.

CureusVol. 16(11)
University of Zakho (IQ), University of Duhok (IQ)
Gender equality
Openalex Percentile: Top 70%
Sexuality, Behavior, and Technology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.