(093) DESCRIPTION OF SOCIODEMOGRAPHIC, PSYCHOPATHOLOGICAL AND PAIN’S PRESENCE AND INTENSITY OF SEXUAL VIOLENCE VICTIMS IN A REFERRAL PSYCHIATRIC-MEDICAL CENTER SAMPLE: PRELIMINARY FINDINGS
Bibliographic record
Abstract
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.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".