(093) DESCRIPTION OF SOCIODEMOGRAPHIC, PSYCHOPATHOLOGICAL AND PAIN’S PRESENCE AND INTENSITY OF SEXUAL VIOLENCE VICTIMS IN A REFERRAL PSYCHIATRIC-MEDICAL CENTER SAMPLE: PRELIMINARY FINDINGS
Notice bibliographique
Résumé
Abstract Introduction Despite extensive evidence between sexual violence trauma and chronic pain, there is lack of studies investigating its interaction from a psychosomatic-physical perspective. This study investigates physical and psychopathological interactions in sexual violence victims. Objective Describe the sociodemographic aspects, adverse childhood experiences, trauma related psychopathological symptoms and pain’s presence and intensity, in sexual violence victims. Methods The study enrolled 37 victims (men and women), aged between 14 and 50, with satisfactory cognitive level to respond to self-report inventories, without history of pain prior to the sexual violence experience and acute psychotic symptoms, seeking treatment for psychological distress due sexual violence victimization, admitted by an outpatient unit of a referral medical center, between 2020 and 2022. First, they underwent to a video call interview for screening, reception, and clarifications. Those who were eligible, after signing the consent form, underwent to “Mini International Neuropsychiatric Interview” with psychiatrist, and physical assessment. Then, they responded to sociodemographic psycho-emotional and trauma related symptoms assessment, sexual violence, and pain related instruments. Statistical analyzes were performed using STATA 15. Results Most of participants are female (83.8%), Median age 33.4 (IQR [15;57]), Median education 12,6 (IQR [5;22]). According to table 1, the majority are victims of chronic violence (97.30%), with victimization experiences before age 13 (77.14%), between 13 and 18 years old (44.44%), and revictimization history in adulthood (29.62%). In addition to sexual abuse trauma, the most severe adverse childhood experiences found through were emotional abuse - Md16 IQR [9;22] (cutoff = 9) and emotional neglect - Md17 IQR [7;22] (cutoff = 10). This sample showed great vulnerability to another types of violence (27.7%) and difficulty in perceiving appropriate limits for intimacy (27.11%). According to table 2, they showed psychopathological symptoms of anxiety - Md20 IQR [0,40] (cutoff = 8), depression - Md22 IQR [0;42] (cutoff =10), stress - Md22 IQR [0, 42] (cutoff = 15). 28 (75.68%) participants reached the cutoff point for posttraumatic stress disorder. 22 participants showed light/moderate (61.11%), and 14 participants showed severe/extreme (38.89%) levels of difficulties in emotion regulation. According to table 3, pain is present for 34 (91.9%) of victims, average pain’s intensity - Md22 IQR [15; 27]). Through palpatory exploration, the pain founded was mainly localized in pelvic and respiratory muscles: psoas-R (75%), psoas-L (70.3%), iliac-R (45.9%), iliac-L (59.4%), diaphragm-R (56.8%) and diaphragm-L (51.3%). Conclusions This study described high frequency of pain presence-intensity, in sexual violence victims in childhood–adolescence lifetime, in our sample, especially in pelvic and diaphragm muscles. These findings of physical alterations in sexual violence victims should encourage further evaluations by physiotherapists and clinicians in collaboration with mental health team. As research implications, studies involving articulations of psychic and physical phenomena in response to traumatic situations are extremely necessary. More observational and interventional studies may improve therapeutic resources for this segment. 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) | 0,010 | 0,001 |
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 ».