Study by |
Parameters |
|
Studied Sample |
Studied Population |
Statistical Test Used |
Key Results |
Mark et al. [5] |
Male, aged between 18 and 32. |
Adolescents and adults |
Nil |
Participants watched pornography from an average self-reported age of first consumption, being 14 years old and the youngest. All participants used porn as a means of sexual gratification. Some participants watched it with others as a bonding activity, relieving boredom, and an educational tool to understand their sexual identities and explore new sexual activities and techniques. |
Razwan et al. [6] |
1,500 undergraduate students. |
Adults |
Chi-square test |
The use of pornography was significantly higher among students who gathered late at night with their friends, frequently argue/fight with them, frequently fool around with them, and did not go to bed on time. |
López et al. [7] |
69 Spanish participants. |
Only adult population |
ANOVAs |
No significant association between pornography consumption and salivary cortisol. Heart rate results did not report a significant main effect of the time factor. |
Burtaverde et al. [8] |
Study I 276 Study 2 322 Study 3 327 |
Adult population only |
Kaiser-Meyer-Olkin test (KMO), the “screen test,” and Horn’s parallel analysis. |
Study 1 In the case of men, high sex drive, learning about sex and improving sexual performance, and regulating mood and emotions were the main reasons identified. For women, we concluded that they could be organized on the same three general themes. Study 2 All the extracted factors explained 57.17% of the total variance. Study 3 Individuals with higher scores on the first factor also have higher scores on the second and third factors. Individuals with higher scores on the second factor also have higher scores on the third and lower scores on the fourth. People with high scores on the third factor. |
Jacobs et al. [9] |
5770 men |
Adult Population only |
Nonparametric tests (chi-square, Kruskal Wallis, and Mann-Whitney-U) were used for the univariate analyses. |
Problematic Pornography Consumption (PPC). There was a statistically significant (P<.001) difference between the median cypat score for those who attempted penetrative sex in past weeks vs. did not have erectile dysfunction according to their iief-5 scores of our sexually active participants had some degree ed classified as having needed watch more or extreme pornography achieve same level arousal compared with experience this need. mild-moderate: moderate: severe:
|
Niki et al. [10] |
Of 4596 individuals screened, 2098 (45.6%) completed the entire survey |
Adults |
Pearson’s chi-squared tests |
Porn sex is different from real sex. Additionally, this study found a relationship between dyadic viewing of pornography and event-level sexual repertoire in ways that suggest viewing pornography with a partner may be associated with sexual variety and orgasm. |
Josep et al. [11] |
1500 participants. |
Adults |
Stata16 for Windows |
Knowing adolescent pornography consumers’ profiles and the impact of pornography on this population would allow for designing more effective prevention and regulation proposals. |
Davide et al. [12] |
668 project STARS participants |
Pre-adolescents |
Chi-square (for categorical variables) Kruskal–Wallis (for continuous variables) |
Our findings corroborate that sexual media matters for many young adolescents and more so for boys compared to girls. |