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Record W4410862718 · doi:10.1080/10720162.2025.2511324

Does the Sexual Nature of Trauma Moderate the Relationship Between Post-Traumatic Stress and Compulsive Sexual Behaviors? Investigating Trauma Experiences in the Light of Compulsive Sexual Behavior and Problematic Pornography Use

2025· article· en· W4410862718 on OpenAlexaff
Léna Nagy, Beáta Bőthe, Shane W. Kraus, Zsolt Demetrovics, Joshua B. Grubbs

Bibliographic record

VenueSexual Health & Compulsivity · 2025
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversité de Montréal
FundersNemzeti Kutatási, Fejlesztési és Innovaciós AlapNemzeti Kutatási Fejlesztési és Innovációs HivatalInternational Center for Responsible Gaming
KeywordsPsychologyPornographyClinical psychologyPsychotherapistPsychoanalysis

Abstract

fetched live from OpenAlex

This study examined the relationships between symptoms of post-traumatic stress (PTS), compulsive sexual behavior (CSB), and problematic pornography use (PPU) while investigating the moderating roles of two types of lifetime trauma experiences (sexual, physical injury-related, and their combination) and gender. Using data from 2,900 American adults (52.5% men, 45.2% women, and 2.3% gender-diverse individuals), we conducted moderated linear regressions to test whether the PTS-CSB and PTS-PPU relationships varied by trauma type and gender. Findings indicated that PTS significantly and positively predicted both CSB and PPU. Originally, trauma type did not significantly moderate the PTS-CSB relationship, only the PTS-PPU relationship. However, a sensitivity analysis revealed a significant moderating effect of sexual trauma on both associations. Contrary to our hypothesis, individuals with sexual-only trauma and higher PTS indicated lower CSB/PPU scores than those with physical injury-related trauma, combined trauma, or no trauma, suggesting that sexual-only trauma may also be linked with sexual avoidance in some individuals. Gender moderated the associations, with men exhibiting higher CSB and PPU scores than women in the presence of higher levels of PTS. Implications and recommendations for future research are discussed.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.069
GPT teacher head0.378
Teacher spread0.309 · 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 teacher head, not a consensus.

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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