| Literature DB >> 34060736 |
Wiwi Yunengsih1, Agus Setiawan2.
Abstract
BACKGROUND: The progress of information and technology contributes to the increasingly easier access to pornographic content. Adolescents as the highest Internet accessor become the most susceptible population to pornographic hazards, which has an impact on deviant sexual behavior. This study aimed to identify the relationship of exposure history and pornography addiction to risky sexual behavior in adolescents. DESIGN AND METHODS: The data were collected online using a cross-sectional approach and involved 394 students selected by stratified random sampling. This study used the Early Detection of Pornography Addiction Instrument and Sexual Risk Survey (SRS).Entities:
Year: 2021 PMID: 34060736 PMCID: PMC9309635 DOI: 10.4081/jphr.2021.2333
Source DB: PubMed Journal: J Public Health Res ISSN: 2279-9028
Distribution of sexual behavior data based on knowledge, attitude, and activity domains (N=394).
| Risky Sexual | Frequency (n) | Percentage (%) |
|---|---|---|
| Behavior Domain | ||
| Knowledge | ||
| Good | 184 | 46.7 |
| Not good | 210 | 53.3 |
| Attitude | ||
| Positive | 163 | 41.4 |
| Negative | 231 | 58.6 |
| Activity | ||
| Not risky | 135 | 34.3 |
| Risky | 259 | 65.7 |
Results of Chi-Square test analysis between the historical first-time pornographic exposure and risky sexual behavior in students (N=394).
| Pornography exposure history | Risky sexual behavior | P | |
|---|---|---|---|
| Low (%) | High (%) | ||
| Age | 0.013 | ||
| <12 years old | 29.2 | 70.8 | |
| 12–15 years old | 45.9 | 54.1 | |
| Materials | 0.041 | ||
| Painting | 50 | 50 | |
| Drawing | 47.1 | 52.9 | |
| Statue | 0 | 100 | |
| Photograph | 36.3 | 63.4 | |
| Video | 31.5 | 68.5 | |
| Comics | 50 | 50 | |
| Reading | 51.9 | 48.1 | |
| Games | 54.5 | 45.5 | |
| Never | 56.3 | 43.8 | |
| Reasons | 0.017 | ||
| Accidental | 46.7 | 53.3 | |
| Curious | 29.6 | 70.4 | |
| Persuasion | 32.6 | 67.4 | |
| By force | 27.3 | 72.7 | |
| Never | 60.7 | 39.3 | |
| Source/media | 0.162 | ||
| Printed media | 48.4 | 51.6 | |
| Internet sites | 41.4 | 58.6 | |
| Social media | 41.0 | 59 | |
| Electronic media | 29.6 | 70.4 | |
| Never | 12.4 | 41.7 | |
| Place | 0.095 | ||
| Home | 47.1 | 52.9 | |
| Warnet | 35.7 | 64.3 | |
| School | 54.8 | 45.2 | |
| Others | 37.1 | 62.9 | |
| Partner | 0.400 | ||
| Family member | 33.3 | 66.7 | |
| Peer fellow | 40.8 | 59.2 | |
| Adult people | 30.8 | 69.2 | |
| Alone | 42.3 | 57.7 | |
| Never | 59.4 | 40.6 | |
| Others | 50.0 | 50.0 | |
Results of Kendall's tau test analysis between the degree of pornographic addiction and risky sexual behavior in students (N=394).
| Degree of pornographic addiction | Risky sexual behavior | Total (%) | P | r | |
|---|---|---|---|---|---|
| Low (%) | High (%) | ||||
| Not exposed | 3.6 | 0.2 | 3.8 | 0.000 | 0.213 |
| Degree 1 | 41.5 | 58.5 | 95.4 | ||
| Degree 2 | 0 | 0.8 | 0.8 | ||