(091) THE PREDICTIVE EFFECT OF ALEXITHYMIA IN RELATION TO IMPULSIVITY IN INDIVIDUALS WITH AND WITHOUT COMPULSIVE SEXUAL BEHAVIOR DISORDER
Bibliographic record
Abstract
Abstract Introduction There is a consensus among researchers on the main characteristics of compulsive sexual behavior disorder (CSBD): impaired control of behavior; clinical suffering; continuity of sexual behavior despite significant impairment in important areas in the person’s life. Previous studies already show the connection between alexithymia and CSBD, as well as impulsivity and CSBD. Objective This study investigated the predictive effect of alexithymia in relation to impulsivity in individuals with and without CSBD. Methods Cross-sectional, observational and exploratory study, with a sample of 451 participants. Of these, 324 (71.8%) individuals with CSBD and 127 (28.1%) controls. They completed the Barratt Impulsivity Scale (BIS-11) and Toronto Alexithymia Scale (TAS - 26) questionnaires. Exclusion criteria were participants who met diagnostic criteria for paraphilic disorders (DSM-5685), gender dysphoria (DSM-5451), schizophrenia spectrum and other psychotic disorders (DSM-5 87), current hypomanic or manic episode of mood disorder (DSM-5123), neurocognitive disorders (DSM-5591) and other mental disorders (DSM-5707). Results In the univariate linear regression which dependent variable is impulsivity, and the independent variables are the four factors of the TAS - 26: TAS Factor 1 – Difficulty identifying and describing feelings and distinguishing feelings from bodily sensations; TAS Factor 2 – difficulty in daydreaming (fantasizing); TAS Factor 3 – Focus on external events rather than internal experiences; TAS Total score. The variables that presented a p value of up to 0.20 and were subsequently included in the multivariate regression model: presenting CSBD (β = 15.41; p-value = <0.001); TAS Factor 1 (β = 0.84; p-value = <0.001); TAS Factor 2 (β = -1.14; p-value = 0.0001); TAS Factor 3 (β = 1.87; p-value = <0.001); TAS Factor 4 (β = 0.67; p-value = 0.096) and TAS Total Score (β = 0.63; p-value = <0.001). The following variables with independent associative effects were observed, namely: TAS Factor 1 (β = 1.36; p-value = <0.001), TAS Factor 3 (β = 1.85; p-value = <0.001) and TAS Total score (β = −0.92; p-value = 0.008). Conclusions The study confirmed that alexithymia is associated with impulsivity, the more alexithymic the person is, the more impulsive behavior they will present. Disclosure No.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".