(092) DESCRIPTIVE SOCIODEMOGRAPHIC STUDY AND VARIABLES RELATED TO SUICIDE IN A SAMPLE OF VICTIMS OF SEXUAL VIOLENCE SEEKING TREATMENT AT A PSYCHIATRIC OUTPATIENT CLINIC IN SãO PAULO, BRAZIL
Notice bibliographique
Résumé
Abstract Introduction Sexual violence, a complex and often underreported phenomenon in victim assistance services, carries the severe risk of suicide, directly impacting public health management and underscoring the necessity for prevalence studies to guide intervention and prevention efforts. Objective This study aimed to characterize the sociodemographic factors and suicide risk among victims of sexual violence. Methods Cross-sectional, observational, and analytical study with a sample of 54 participants. Of these, 5 (9.26%) were male and 49 (90.74%) were female. Participants underwent a sociodemographic interview, application of the Columbia-Suicide Severity Rating Scale (C-SSRS Lifetime/Recent version), and a standardized diagnostic interview Mini International Neuropsychiatric Interview. Data were collected between 2021 and 2024. People aged 14 and older with satisfactory cognitive capacity to understand the instruments were included, while participants with acute psychotic symptoms presenting delusional ideation, hallucinations that could impair and hinder the application of the research instruments were excluded. Results In the descriptive analysis conducted using STATA, sociodemographic data showed that the average age among women was 32 years (SD 10.14) and among men was 28 years (SD 8.23) (p = 0.35). Education level in elementary school, high school and college was, respectively, 55.10%, 22.45% and 22.45% for women, and 40%, 60%, and 0%) for men (p = 0.23). Regardind marital status, it was married or common law, single, and separated or divorced, respectively, 34.04%, 55.32%, and 10.64% for women; and 0%, 59.62%, and 9.62% for men (p = 0.25). Regardingsuicidal behavior, 65.22% of women reported suicidal ideation with planning during their lifetime, while 50% of men reported it (p = 0.61). In terms of suicide attempts, 59.18% of women had at least one suicide attempt during their lifetime, compared to 40% of men (p = 0.64). Regarding suicidal risk, it was present in 73.47% for women and 60% for men (p = 0.61). Regarding multivariate logistic regression, lower levels of education were statistically significantly associated with suicide risk (p-value 0.007), while gender, and marital status did not show statistically significant associations. Conclusions The study conducted a brief screening of sociodemographic data and suicide risk among men and women sexual violence victims, seeking help for mental health difficulties. The results show no significant differences between men and women according sociodemographic and suicide variables. Those with lower level of education showed higher risks for suicide. Further studies with more representative male sample or with a control group will help to increase evidences. Those data suggests a greater vulnerability to sexual violence victims with low schooling for suicide risk, meaning it is a group that needs different interventions. Psychoeducation potentially can have a special role for them. Disclosure No.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».