Intimate partner violence against women: Operationalized Psychodynamic Diagnosis (OPD-2)

Relationship between psychodynamic functioning, defensive mechanisms, and trauma in patients with post-traumatic stress disorder (PTSD)

OBJECTIVES

Patients with post-traumatic stress disorder (PTSD) present a variety of symptoms, with different intensities, causing impairment in individual, social, and occupational functioning. The aim of this study was to understand the psychodynamic functioning of patients with PTSD, exploring relationships between symptom severity, quality of life, subjective suffering, conflicts, and psychic structure and sociodemographic characteristics, styles, and defensive mechanisms.

METHODS

This is a cross-sectional quantitative study with 60 participants. The following instruments were used: a sociodemographic questionnaire, the Operationalized Psychodynamic Diagnosis-2 (OPD-2), and the Defensive Style Questionnaire (DSQ-40).

RESULTS

Participants had moderate to high symptom severity, with significant subjective suffering and isolation. The main conflict was need for care vs. self-sufficiency and the level of total structure was moderate/low. Use of immature, neurotic, and mature defensive styles was observed. More primitive personality structures, more rigid defenses, and greater dependence were found in patients with history of past trauma. Other mental disorders were also associated.

CONCLUSION

The OPD-2 was effective for assessment of the psychodynamic functioning characteristics of patients with PTSD. Therapeutic treatment should focus on the psychic structure and not only on symptom control. Prevention strategies should target vulnerability factors while strengthening protective factors.

Stressful life events: Typology of aggression and mistreatment in male perpetrators of gender-based violence

The objective of this study was to analyze groups based on the stressful life events suffered and to know the relationship of these profiles with the type of abuse exercised against women in the couple. A sample of 118 heterosexual men who perpetrated gender-based violence was used, with a mean age of 40.46 years (SD = 11.14). The results show that those who suffered a greater number of adverse experiences abused their partners more frequently and with a more aggravated character. In addition, knowing typologies based on previous stressful life events could favor specific interventions in the elimination of the normalization of violence as a maladaptive relational strategy. It is necessary to continue investigating the characteristics of men who exercise gender-based violence, as well as to analyze previous exposure to violence in the family of origin due to the influence it exerts on subsequent abuse.

Identifying posttraumatic stress disorder staging from clinical and sociodemographic features: a proof-of-concept study using a machine learning approach

This proof-of-concept study aimed to investigate the viability of a predictive model to support posttraumatic stress disorder (PTSD) staging. We performed a naturalistic, cross-sectional study at two Brazilian centers: the Psychological Trauma Research and Treatment (NET-Trauma) Program at Universidade Federal of Rio Grande do Sul, and the Program for Research and Care on Violence and PTSD (PROVE), at Universidade Federal of São Paulo. Five supervised machine-learning algorithms were tested: Elastic Net, Gradient Boosting Machine, Random Forest, Support Vector Machine, and C5.0, using clinical (Clinician-Administered PTSD Scale version 5) and sociodemographic features. A hundred and twelve patients were enrolled (61 from NET-Trauma and 51 from PROVE). We found a model with four classes suitable for the PTSD staging, with best performance metrics using the C5.0 algorithm to CAPS-5 15-items plus sociodemographic features, with an accuracy of 65.6% for the train dataset and 52.9% for the test dataset (both significant). The number of symptoms, CAPS-5 total score, global severity score, and presence of current/previous trauma events appear as main features to predict PTSD staging. This is the first study to evaluate staging in PTSD with machine learning algorithms using accessible clinical and sociodemographic features, which may be used in future research.

Validation of the Brazilian-Portuguese Version of the Clinician Administered Post Traumatic Stress Disorder Scale-5

Objectives: The aim of this study was to validate CAPS-5 for the Brazilian-Portuguese language on a sample of 128 individuals from two centers (from the cities of São Paulo and Porto Alegre) who have been recently exposed to a traumatic event. Methods: We performed a reliability analysis between interviewers (with a subset of 32 individuals), an internal consistency analysis, and a confirmatory factorial analysis for the validation study. Results: The inter-rater reliability of the total PTSD symptom severity score was high [intraclass correlation coefficient =0.994, 95% CI (0.987-0.997), p < 0.001]. Cohen's Kappa for individual items ranged between 0.759 and 1. Cronbach's alpha coefficients indicated high internal consistency for the CAPS-5 full scale (α = 0.826) and an acceptable level of internal consistency for the four symptom clusters. The confirmatory factorial analysis for the 20-item original CAPS-5 did not fit the data well. A 15-item model with better results was then established by excluding the following CAPS-5 items: dissociative amnesia, recklessness, distorted cognitions, irritability, and hypervigilance. Conclusion: Despite the limitation of the predominance of female victims, and the high number of sexually assaulted women in our sample, the model with only 15 items provided a good fit to the data with high internal consistency (α = 0.835).