| Literature DB >> 31247949 |
Aleksandra Diana Dwulit1, Piotr Rzymski2.
Abstract
This paper reviews the associations between pornography use and sexual dysfunction based on evidence from observational studies. The existing data in this regard mostly derive from cross-sectional investigations and case reports. There is little if no evidence that pornography use may induce delayed ejaculation and erectile dysfunction, although longitudinal studies that control for confounding variables are required for a full assessment. The associations between pornography use and sexual desire may differ between women and men although the existing data is contradictory and causal relationships cannot be established. The strongest evidence is available for the relation of pornography use with decreased sexual satisfaction, although the results of prospective studies are inconsistent. The paper outlines future research prospects beneficial in understanding the nature of associations between pornography use and sexual dysfunctions in men and women.Entities:
Keywords: delayed ejaculation; erectile dysfunction; pornography; sexual desire; sexual dysfunction; sexual satisfaction
Year: 2019 PMID: 31247949 PMCID: PMC6679165 DOI: 10.3390/jcm8070914
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.241
Figure 1Statistics of pornography use in the period of 2013–2018 according to data shared by Pornhub: (a) annual number of visitors to Pornhub, (b) visitors to Pornhub by age.
Cross-sectional studies on association between pornography use and sexual satisfaction in women and men.
| Study Type | Group | Age of Subjects Mean ± SD (range) years | Method | Observation | Reference |
|---|---|---|---|---|---|
| Online survey | 373 heterosexual men | 19 ± 2 (18–29) | Multidimensional Sexuality Questionnaire | Frequency of PU and PPU correlated with ↓ sexual satisfaction | [ |
| Online survey | 217 heterosexual couples | 37 ± 11 ♂; 35 ± 10 ♀ | Index of Sexual Satisfaction | Frequency of PU correlated with ↓ sexual satisfaction only in male | [ |
| Online survey | 650 men | (18–25) | Snell’s Index of Sexual Satisfaction | Earlier exposure to P correlated with ↓ sexual satisfaction | [ |
| Online survey | 326 heterosexual men; 456 heterosexual women | 20 (18–30) | One-item question | Frequency of PU correlated with ↓ sexual satisfaction only in male | [ |
| Online survey | 221 women; 75 men; (97% heterosexual) | 29 ± 9 (18–87) | Index of Sexual Satisfaction | No correlation between frequency of PU and sexual satisfaction | [ |
| Online survey | 1513 heterosexual adults | 23 ± 8 | Two-item question | Frequency of PU correlated with ↓ sexual satisfaction | [ |
| Online survey | 240 heterosexual couples | 35 ± 9 (18–72) ♂; 33 ± 9 (18–60) ♀ | Golombok Rust Inventory of Sexual Satisfaction | Couple PU correlated with ↑ sexual satisfactionUnknown individual use correlated with ↓ sexual satisfaction | [ |
| Pen-and-paper survey | 1501 randomly selected adults | 50 ± 18 (17–98) | One-item question | Frequency of PU correlated with ↓ sexual satisfaction only in male | [ |
| Online survey | 565 women; 471 men | (18–55) | One-item question | Frequency of PU correlated with ↓ sexual satisfaction only in male | [ |
| Online survey | 894 heterosexual adults | 30 ± 9 | Two-item question | Frequency of PU correlated with ↓ sexual satisfaction with no gender differences | [ |
| Online survey | 596 women; 234 men | 25 ± 8 (18–78) | Global Measure of Sexual Satisfaction | Frequency of PU correlated with ↓ sexual satisfaction, particularly lower scores were seen in compulsive users. | [ |
| Online survey | 587 women; 232 men | 25 ± 8 (18–78) | Global Measure of Sexual Satisfaction | Frequency of PU correlated with ↓ sexual satisfaction in both gender | [ |
| Online survey | 1471 women; 1109 men | (18–60) | New Scale of Sexual Satisfaction | Frequency of PU correlated with ↓ sexual satisfaction in both gender | [ |
| Pen-and-paper survey | 190 newly married heterosexual couples | 34 ♂; 31 ♀ | Perceived Relationship Quality Components (PRQC) Inventory | Frequency of PU correlated with ↓ sexual satisfaction in both gender | [ |
| Face-to-face interviews | 2610 married adults | 53 ± 14 (25–80) | One-item question | Frequency of PU correlated with ↓ sexual satisfaction in studied group | [ |
| Online survey | 433 heterosexual married couples | 38 (22–59) ♂; 35 (20–44) ♀ | One-item question | No correlation between frequency of PU and sexual satisfaction in husbands and wives | [ |
| Pen-and-paper survey | 326 heterosexual couples | 38 ± 10 ♂; 36 ± 10 ♀ | Golombok Rust Inventory of Sexual Satisfaction | Frequency of PU correlated with ↓ sexual satisfaction in both gender | [ |
| Pen-and-paper survey | 460 women; 130 men | 24 ± 7 (18–64) | One-item question with Likert scale | PU correlated with ↓ sexual satisfaction. The association was differentiated by attachment styles: negative among anxious/avoidant subjects, positive among fearful individuals | [ |
| Online survey | 3004 women; 2079 men | 22 ± 1 (18–26) | One-item question | Earlier age of exposure to P increased odds for ↓sexual satisfaction | [ |
| Online survey | 470 men | 27 ± 11 | Global Measure of Sexual Satisfaction | Frequency of PU correlated with ↓ sexual satisfaction | [ |
| Online survey | 378 men | 47 ± 14 | Global Measure of Sexual Satisfaction | Frequency of PU correlated with ↓ sexual satisfaction | [ |
P—pornography PU—pornography use; PPU—problematic pornography use; SD—standard deviation.