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Record W4414180990 · doi:10.1192/j.eurpsy.2025.2285

Impact of Pornography Consumption on Sexual Self-Esteem in Tunisian Women

2025· article· en· W4414180990 on OpenAlexaboutno aff
D. Achref, A. Aissa, S. Rouached, R. Jomli

Bibliographic record

VenueEuropean Psychiatry · 2025
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsPornographyConsumption (sociology)Quarter (Canadian coin)PopulationMoodReproductive healthAnxietyMarital status

Abstract

fetched live from OpenAlex

Introduction The consumption of pornographic products is a phenomenon that continues to increase considerably, especially among young people. It is encouraged by easier access to the Internet. On the other hand the concept of sexual self-esteem is a relatively new and little explored subject in the literature. It has emerged across a range of areas such as weight, sexual trauma and physical satisfaction. Objectives The aim of our study is to evaluate the impact of pornography consumption on sexual self-esteem in a population of Tunisian women and to determine the associated factors influencing this relationship. Methods This is a cross-sectional, descriptive, and analytical study conducted among 107 Tunisian women. Data were collected using an anonymous self-questionnaire in French, using Google Forms, distributed across various Facebook platforms. It explored sociodemographic data, medical history and sexual health characteristics, sexual behavior, and pornography consumption along with its impact. For the evaluation of sexual self-esteem, we used the “Sexual Self-Esteem Inventory for Women - Short Form” (SSEI-W-SF) in French language. (Hannier, S et al. Translation and validation study of the French version of the “SSEI-W-SF”. Sexologies. 2022;31.) Results The majority of women (76%) are aged between 18 and 30 years, primarily from urban backgrounds (89%), professionally active (81%). In terms of marital status, 43% are single. Most women (60%) have no psychiatric history, 25% are being treated for anxiety disorders, and 20% for mood disorders. More than a quarter (28%) reported experiencing sexual abuse. Regarding sexual education, majority of women (94%) consider its learning essential, although only 11% received structured education at school. Consequently, 80% of women indicated that their main source of sexual education was online. In the studied population, 60% of women reported consuming pornography, primarily in the form of videos (79%). The evaluation of sexual self-esteem using the SSEI-W-SF revealed an average total score of 61.66, ranging from 26 to 82, with a median of 63 and a standard deviation of 10.887. Women with the lowest scores were particularly affected in terms of adaptability and control. We observed a significant correlation between pornography consumption and the absence of sexual education during childhood (p = 0.009). Women who deemed sexual education essential showed lower consumption of pornography (p = 0.027). Regarding sexual self-esteem, no statistically significant correlation was found between sexual self-esteem and pornography consumption, either for the global sexual self-esteem score (p = 0.809) or for the five spheres of sexual self-esteem assessed separately. Conclusions In conclusion, the influence of pornography on sexual self-esteem warrants careful examination, requiring a balanced perspective that addresses both its positive and negative effects on individuals’ well-being. Disclosure of Interest None Declared

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.343
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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