| Literature DB >> 35270395 |
Pasquale Caponnetto1,2,3, Marilena Maglia1,2,3, Graziella Chiara Prezzavento1, Concetta Pirrone1.
Abstract
During the COVID-19 pandemic, increased stress factors affected people's motivations to engage in potentially addictive behaviors. Sexuality, understood as one of the psychological aspects to be investigated to explore the level of psychological well-being of a person, has suffered considerable repercussions due to the pandemic. A growing body of evidence suggests an unprecedented increase in Internet use and online pornography consumption during the pandemic. Since March 2020, during the lockdown period, Pornhub has seen a worldwide increase in pornography use of 11.6% compared to the previous average days. This research was conducted with the aim of exploring the possible increasing use of pornographic material during the lockdown period, in order to assess whether dysfunctional behaviors, such as compulsive behaviors, and thoughts of sex-related obsessives can lead to hypersexual behavior or a more severe Sexual Addiction. The individuals who participated in our research were 18 years of age or older (mean 23.1, s.d. 5.8), and 48% male and 52% females and were recruited online to complete a self-report questionnaire in the period between April 2020 and April 2021. The questionnaires were delivered via main social networks. The tool used for our survey was the SAST (Sexual Addiction Screening Test), a questionnaire including socio-demographic data and data relating to sexual practices, such as sexual orientation and time spent on the Internet for sexual activities. The results revealed significant differences concerning the various factors investigated such as loss of control, addictive symptoms and hide score.Entities:
Keywords: COVID-19; SAST; Sexual Addiction; hypersexual behavior; lock-down
Mesh:
Year: 2022 PMID: 35270395 PMCID: PMC8910026 DOI: 10.3390/ijerph19052704
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Participants’ characteristics.
| Socio-Demographic Characteristics at Baseline | |
|---|---|
| Gender | |
| Male | 671 (47.8) |
| Female | 730 (52) |
| Age: mean (SD) | 23.1 (5.8) |
| Age range | |
| 18–24 | 1079 (77.1) |
| 25–44 | 300 (21.4) |
| 45–65 | 22 (1.5) |
| Marital status | |
| Unmarried Men (Celibate) | 582 (41.5) |
| Unmarried Women (Maiden) | 581 (41.4) |
| Married | 50 (3.5) |
| No answer | 188 (13.4) |
| Presence of Intimate relationship/s | |
| Yes | 686 (48.9) |
| No | 538 (38.3) |
| No answer | 180 (12.8) |
| Education: | |
| Middle school | 65 (4.6) |
| First level graduates | 981 (69.9.) |
| Second level graduates | 202 (14.4) |
| No answer | 153 (11.1) |
| Ethnicity | |
| White Caucasian | 1401 (100) |
| SAST Categories | |
| No Sexual Addiction | 1150 (82.1) |
| Hypersexual Behaviour | 220 (15.7) |
| Sexual Addiction | 31 (2.2) |
ANOVA one way: sentimental categories and addiction symptoms.
| Maritial Status | N | M | SD | F | P | |
|---|---|---|---|---|---|---|
| 1 | celibate | 582 | 0.950 | 0.972 | 4.759 | 0.001 |
| maiden | 581 | 0.829 | 0.909 | |||
| married | 50 | 0.620 | 0.725 | |||
| 2 | celibate | 582 | 0.948 | 1.013 | 13.72 | 0.001 |
| maiden | 581 | 0.700 | 0.846 | |||
| married | 50 | 0.480 | 0.735 | |||
| 3 | celibate | 582 | 0.800 | 2.271 | 6.243 | 0.01 |
| maiden | 581 | 1.394 | 3.436 | |||
| married | 50 | 0.840 | 2.794 | |||
| 4 | celibate | 582 | 0.606 | 0.768 | 13.62 | 0.001 |
| maiden | 581 | 0.826 | 0.823 | |||
| married | 50 | 0.460 | 0.734 |
Legend: 1 = Loss of control; 2 = Addiction symptoms; 3 = Functional impairment; 4 = Hide Score.
Paired t-test related to time dedicated to the use of pornographic material, both online and not, before and after the pandemic.
| M | SD |
|
| |
|---|---|---|---|---|
| Sex Pre-Pandemic | 18.43 | 11.718 | 0.949 | 0.343 |
| Sex Post-Pandemic | 18.35 | 11.139 |
Paired t-test related to the four SAST categories before (B) and after (A) the pandemic.
| Categories | M | SD |
|
|
|---|---|---|---|---|
| B Loss of control | 1.020 | 1.00 | 8.08 | 0.001 |
| A Loss of control | 0.895 | 0.942 | ||
| B Addiction symptoms | 0.8104 | 0.921 | 7.11 | 1.21 |
| A Addiction symptoms | 0.8821 | 0.932 | ||
| B Functional impairment | 1.023 | 2.91 | 7.85 | 0.98 |
| A Functional impairment | 1.112 | 2.36 | ||
| B Hide score | 0.796 | 0.801 | 8.32 | 0.62 |
| A Hide score | 0.803 | 0.851 |