Mood regulation, alexithymia, and personality disorders in female patients with opioid use disorders
Bibliographic record
Abstract
Abstract Background Opioid use disorders are rising among females. So, there is a need for more recognition of the various factors contributing to this trend in women, to help us to plan effective interventions to this group of patients. Hence, we conducted this research to identify risk factors associated with opioid use in females including mood regulation, alexithymia, and personality disorders. The study included 60 females ranging from 18 to 45 years [30 females diagnosed with opioid use disorder according DSM-IV (case group), and 30 females with no mental illness diagnosis according to general health questionnaire (control group)]. The subjects were recruited from inpatients and outpatient clinic of Al-Abbassia Hospital, Cairo, Egypt. Both groups were assessed by the Structured Clinical Interview for DSM-IV axis II disorders (SCID II) for personality, Trait Meta-Mood Scale (TMMS) for emotional regulation and Toronto Alexithymia Scale-20 (TAS-20) for alexithymia. Results Regarding sociodemographic data, cases were significantly different from controls as they are less educated ( P < 0.001), more 73% (22) unemployed ( P <0.001) and 56.7% (17) of cases had positive family history of first degree relatives with drug use ( P = 0.001). SCID II showed more significant personality disorders diagnosis among cases as (borderline, antisocial, paranoid, schizotypal, and schizoid personality disorder) ( P < 0.001, < 0.001, 0.01, 0.003, and 0.005, respectively) and also multiple personality disorders ( P < 0.001) diagnosis. As regards alexithymia all cases were classified as having alexithymia 100% versus 56.7% among controls. Meanwhile, cases showed more difficulty in identifying ( P < 0.001) and describing feelings ( P = 0.001) and more externally oriented thinking ( P = 0.010). Results of TMMS showed cases had lower total score on TMMS ( p = 0.016). Signifying their inability to regulate their emotions in comparison to controls. There was no significant association between alexithymia, sociodemographic data, TMMS, and SCID II among cases group. Conclusions The present study found that females with opioid use disorders tend to be less educated, unemployed with positive family history of substance abuse, and diagnosed mainly with cluster A and B personality disorders. Moreover, had difficulty in identifying, describing, and regulating their emotions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".