Violent Offending Promotes Appetitive Aggression Rather than Posttraumatic Stress-A Replication Study with Burundian Ex-Combatants

Enjoying the violence of war: Association with posttraumatic symptomatology in U.S. combat veterans

OBJECTIVE

Engaging in war-related violence can have a devastating impact on military personnel, with research suggesting that injuring or killing others can contribute to posttraumatic stress disorder (PTSD), depression, and moral injury. However, there is also evidence that perpetrating violence in war can become pleasurable to a substantial number of combatants and that developing this "appetitive" form of aggression can diminish PTSD severity. Secondary analyses were conducted on data from a study of moral injury in U.S., Iraq, and Afghanistan combat veterans, to examine the impact of recognizing that one enjoyed war-related violence on outcomes of PTSD, depression, and trauma-related guilt.

METHOD

Three multiple regression models evaluated the impact of endorsing the item, "I came to realize during the war that I enjoyed violence" on PTSD, depression, and trauma-related guilt, after controlling for age, gender, and combat exposure.

RESULTS

Results indicated that enjoying violence was positively associated with PTSD, β (SE) = 15.86 (3.02), p < .001, depression, β (SE) = 5.41 (0.98), p < .001, and guilt, β (SE) = 0.20 (0.08), p < .05. Enjoying violence moderated the relationship between combat exposure and PTSD symptoms, β (SE) = -0.28 (0.15), p < .05, such that there was a decrease in the strength of the relationship between combat exposure and PTSD in the presence of endorsing having enjoyed violence.

CONCLUSIONS

Implications for understanding the impact of combat experiences on postdeployment adjustment, and for applying this understanding to effectively treating posttraumatic symptomatology, are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Traumatic Life Events and Association With Depression, Anxiety, and Somatization Symptoms in Female Refugees

Importance

Different types of traumatic life events have varying impacts on symptoms of depression, anxiety, and somatization. For women from areas of the world experiencing war and humanitarian crises, who have experienced cumulative trauma exposure during war and forced migration, it is not known whether cumulative trauma or particular events have the greatest impact on symptoms.

Objective

To examine which traumatic life events are associated with depression, anxiety, and somatization symptoms, compared with the cumulative amount, in a sample of female refugees.

Design, Setting, and Participants

For this cross-sectional study, data were collected in 2016 as a part of The Study on Female Refugees. The current analysis was conducted in 2022 to 2023. This multicenter study covered 5 provinces in Germany. Participants were recruited at reception centers for refugees. Women volunteered to participate and to be interviewed after information seminars at the different centers.

Exposure

Traumatic life events experienced by refugees from areas of the world experiencing war and humanitarian crises.

Main Outcomes and Measures

Demographic variables (age, country of origin, religion, education, relationship status, and children), traumatic and adverse life events, and self-reported depression, anxiety, and somatization symptoms were measured. Random forest regressions simultaneously examined the importance of these variables on symptom scores. Follow-up exploratory mediation models tested potential associative pathways between the identified variables of importance.

Results

For the final sample of 620 refugee women (mean [SD] age, 32.34 [10.35] years), family violence was most associated with depression (mean [SD] variable of importance [VIM], 2.93 [0.09]), anxiety (mean [SD] VIM, 4.15 [0.11]), and somatization (mean [SD] VIM, 3.99 [0.15]), even though it was less common than other traumatic experiences, including war, accidents, hunger, or lack of housing. Other factors, such as childhood sexual abuse, injury, near-death experiences, and lack of access to health care, were also important. Follow-up analyses showed partial mediation effects between these factors in their association with symptoms, supporting the unique importance of family violence in understanding mental health.

Conclusions and Relevance

The findings of this cross-sectional study of refugee women who experienced multiple severe traumas related to war in their home countries and danger encountered during their migration suggest that family violence was key to their current mental health problems. Culturally sensitive assessment and treatment need to place special emphasis on these family dynamics.

Putative juvenile terrorists: the relationship between multiple traumatization, mental health, and expectations for reintegration among Islamic State recruited adolescent and young adult fighters

Background

In several conflicts worldwide children are recruited as fighters in irregular forces. These children need to be reintegrated into the society after the conflict. However, concurrent to various reservations in the communities, the reintegration of former child soldiers is challenged by the fact that many of the affected children were indoctrinated by the armed group and traumatized through war events. Even several years after the defeat of the terrorist organization ISIS in Iraq, systematic efforts towards the reintegration of children who had been recruited by ISIS are notably absent.

Methods

we conducted clinical interviews with a sample of N = 59 adolescents and young adults who were incarcerated for terrorism in the prisons of the Kurdistan Region of Iraq to assess levels and types of trauma exposure, PTSD, depression, readiness to reintegrate and ongoing identification with ISIS.

Results

We found high levels of PTSD and depression that were associated with trauma exposure. The subjective readiness to reintegrate into the communities was associated with trauma exposure and was mediated by depression, even after controlling for the influence of ongoing identification with the armed group.

Conclusion

The study indicates that trauma-related mental ill-health should be considered in efforts to reintegrate young former terrorists.

NETfacts: An integrated intervention at the individual and collective level to treat communities affected by organized violence

War and crises affect mental health, social attitudes, and cultural norms, which can exacerbate the state of long-term insecurity. With decades of armed conflict, the Democratic Republic of Congo is one example, and violence has become normalized in civilian settings. In this study, we tested the effectiveness of the NETfacts health system, an integrated model of evidence-based individual trauma treatment (Narrative Exposure Therapy [NET]) and a trauma-informed community-based intervention (NETfacts). Alongside changes in mental health outcomes (posttraumatic stress disorder, depression, social disapproval, and shame) we also investigated change in attitudes, including rape myth acceptance, stigmatization of survivors of sexual violence, and skepticism about the reintegration of former combatants. To test whether the additional community intervention is superior to individual NET alone, we implemented a randomized controlled design with six villages and interviewed a sample of 1,066 community members. Our results demonstrate that the NETfacts health system in comparison with NET alone more effectively reduced rape myth acceptance and with it ongoing victimization and perpetration. Community members of the NETfacts group also presented with less stigmatizing attitudes against survivors of sexual violence. Skepticism about the reintegration of former combatants declined in both groups. NETfacts appears to have increased motivation to engage in individual treatment. Synergizing the healing effects of individual and collective trauma exposure, the NETfacts health system appears to be an effective and scalable approach to correct degrading or ignominious norms and restore functioning and mental health in postconflict communities.

A Possible Anti-anxiety Effect of Appetitive Aggression and a Possible Link to the Work of Donald Winnicott

Various pleasant sensations that give a particularly intense pleasure are able to improve anxiety. In the present study I consider the possibility that their anti-anxiety action depends on the strong pleasure they provide, and I propose a possible mechanism of this action. According to some studies, also appetitive aggression (an aggression that provokes a strong pleasure and that is performed only for the pleasure it provides) can improve anxiety, and in this article I consider the possibility that the pleasure of appetitive aggression is able to reduce anxiety by the same mechanism I have proposed for other intense pleasurable sensations. The aggression performed by a child against the mother or against a substitute for the mother in the first period of life (a period in which this aggression is not dangerous) is a recurring theme throughout the work of of Donald Winnicott. Winnicott stresses that this aggression is necessary for the normal development of the child, and that the child must be free to practise it. According to Winnicott, this aggression is highly pleasurable and is not a response to unpleasant or hostile external situations. For these characteristics it seems to correspond to appetitive aggression in the adult that has been found to be able to reduce anxiety. Consequently, aggression performed by the child in the first period of life may also relieve anxiety, in the same way that appetitive aggression helps against anxiety in the adult. In his writings, Winnicott returns several times to an unthinkable or archaic anxiety that children experience when they feel abandoned by their mother for a period that is too long for them, and all children, according to Winnicott, live on the brink of this anxiety. In this study I propose the hypothesis that aggression in the early period of life may be necessary for children because the intense pleasure it provides may help them against this continuously impending anxiety.

Uncovering social-contextual and individual mental health factors associated with violence via computational inference

The identification of human violence determinants has sparked multiple questions from different academic fields. Innovative methodological assessments of the weight and interaction of multiple determinants are still required. Here, we examine multiple features potentially associated with confessed acts of violence in ex-members of illegal armed groups in Colombia (N = 26,349) through deep learning and feature-derived machine learning. We assessed 162 social-contextual and individual mental health potential predictors of historical data regarding consequentialist, appetitive, retaliative, and reactive domains of violence. Deep learning yields high accuracy using the full set of determinants. Progressive feature elimination revealed that contextual factors were more important than individual factors. Combined social network adversities, membership identification, and normalization of violence were among the more accurate social-contextual factors. To a lesser extent the best individual factors were personality traits (borderline, paranoid, and antisocial) and psychiatric symptoms. The results provide a population-based computational classification regarding historical assessments of violence in vulnerable populations.

The use of machine learning techniques in trauma-related disorders: a systematic review

Establishing the diagnosis of trauma-related disorders such as Acute Stress Disorder (ASD) and Posttraumatic Stress Disorder (PTSD) have always been a challenge in clinical practice and in academic research, due to clinical and biological heterogeneity. Machine learning (ML) techniques can be applied to improve classification of disorders, to predict outcomes or to determine person-specific treatment selection. We aim to review the existing literature on the use of machine learning techniques in the assessment of subjects with ASD or PTSD. We systematically searched PubMed, Embase and Web of Science for articles published in any language up to May 2019. We found 806 abstracts and included 49 studies in our review. Most of the included studies used multiple levels of biological data to predict risk factors or to identify early symptoms related to PTSD. Other studies used ML classification techniques to distinguish individuals with ASD or PTSD from other psychiatric disorder or from trauma-exposed and healthy controls. We also found studies that attempted to define outcome profiles using clustering techniques and studies that assessed the relationship among symptoms using network analysis. Finally, we proposed a quality assessment in this review, evaluating methodological and technical features on machine learning studies. We concluded that etiologic and clinical heterogeneity of ASD/PTSD patients is suitable to machine learning techniques and a major challenge for the future is to use it in clinical practice for the benefit of patients in an individual level.

Disarming Ex-Combatants' Minds: Toward Situated Reintegration Process in Post-conflict Colombia

Collective violence in the context of armed conflict impacts the economy, health systems, and social stability of affected countries. This is considered a complex phenomenon with interwoven biological, psychological, social, cultural, and political factors. However, most of the research on this topic still lacks suitable established integrative approaches to assess multilevel perspectives. Social, cognitive and affective mental processes (SCAMP) are critical factors that should be considered in multilevel approaches. In this article, we critically discuss some of the classically isolated approaches used in violence research, the absence of successful interventions for ex-combatants reintegration, and the specific neglect of SCAMP in these interventions. We present the case of post-conflict Colombia as a unique opportunity to study the different roots of collective violence, and we call for a more robust and situated approach to understanding of and intervention in this multifaceted phenomenon. In addition, we suggest a two-stage approach for addressing ex-combatants’ reintegration programs, which considers the situated nature of post-conflict scenarios and the urgent need for evidence-based interventions. This approach focuses on the comprehensive scientific assessment of specific factors involved in violence exposure and the subsequent design of successful interventions. The implementation of this approach will contribute to the effective reintegration of individuals who have been exposed to extreme violence for more than 50 years.

Psychotherapeutic Intervention in the Demobilization Process: Addressing Combat-related Mental Injuries with Narrative Exposure in a First and Second Dissemination Stage

BACKGROUND

Depending on the exposure to traumatic stressors and combat, 20% to 50% of ex-combatants present with trauma-related disorders, and more than half of the members of armed groups have a proclivity to violence. Therefore, psychotherapeutic assistance should address both, trauma-related suffering and the lowered threshold for aggressive behaviour.

OBJECTIVE

Supporting the demobilization process of ex-combatants in the eastern DR-Congo, we implemented a version of Narrative Exposure Therapy adapted for Forensic Offender Rehabilitation (FORNET).

METHOD

In two successive dissemination stages (DS), local counsellors conducted FORNET. In DS1, they were trained by clinical experts, and in DS2, the by then experienced counsellors trained and supervised a second group of local counsellors (DS2). The training consisted of a 3-week workshop covering theoretical concepts and practical therapeutic skills. In DS1 and DS2, a total of 98 demobilizing combatants received an intervention; treatment-as-usual served as the control condition. Posttraumatic stress disorder, appetitive aggression, depression severity and drug dependence were assessed prior to the intervention and 6 and 12 months later; additionally, we assessed reintegration success.

RESULTS

Six months post-intervention, FORNET significantly reduced Posttraumatic stress disorder symptoms but had less effect on the trait of appetitive aggression; moreover, beneficial effects were found for depression severity and drug dependence as well as for reintegration indices. Treatment gains were retained at 12 months.

CONCLUSIONS

Individuals without previous training in psychotherapy can learn to effectively apply the brief intervention FORNET and support the demobilization process in ongoing conflicts. The study suggests that it is possible to pass down psychotherapeutic techniques over generations of counsellors. © 2015 The Authors. Clinical Psychology & Psychotherapy published by John Wiley & Sons Ltd.

KEY PRACTITIONER MESSAGE

Posttraumatic stress symptoms, depression and clinically relevant levels of drug dependence can effectively be reduced with a version of Narrative Exposure Therapy (NET) adapted for Forensic Offender Rehabilitation (FORNET). The intervention is effective in the context of ongoing conflict. Individuals without previous training in psychotherapy can learn to effectively apply the brief intervention FORNET. It is possible to pass down psychotherapeutic techniques like FORNET over generations of counsellors. Psychotherapeutic interventions like FORNET may facilitate the transition to peace in war-torn regions.

Social Cognitive Training Improves Emotional Processing and Reduces Aggressive Attitudes in Ex-combatants

Emotional processing (EP) is a complex cognitive function necessary to successfully adjust to social environments where we need to interpret and respond to cues that convey threat or reward signals. Ex-combatants have consistently shown atypical EP as well as poor social interactions. Available reintegration programs aim to facilitate the re-adaptation of ex-combatants to their communities. However, they do not incorporate actions to improve EP and to enhance cognitive-emotional regulation. The present study was aimed at evaluating the usefulness of an intervention focused on Social Cognitive Training (SCT), which was designed to equip ex-combatants enrolled in the Social Reintegration Route with EP and social cognition skills. A group of 31 ex-combatants (mean age of 37.2, 29 men) from Colombian illegal armed groups were recruited into this study. Of these, 16 were invited to take part in a SCT and the other continued with the conventional reintegration intervention. Both groups underwent 12 training sessions in a period 12–14 weeks. They were assessed with a comprehensive protocol which included Psychosocial, Behavioral, and Emotion Processing instruments. The scores on these instruments prior to and after the intervention were compared within and between groups. Both groups were matched at baseline. Ex-combatants receiving the SCT experienced significant improvements in EP and a reduction in aggressive attitudes, effects not observed in those continuing the conventional reintegration intervention. This is the first study that achieves such outcomes in such a population using SCT intervention. We discuss the implications of such results toward better social reintegration strategies.

Does trauma event type matter in the assessment of traumatic load?

Background: The likelihood of developing Posttraumatic Stress Disorder (PTSD) depends on the interaction of individual risk factors and cumulative traumatic experiences. Hence, the identification of individual susceptibility factors warrants precise quantification of trauma exposure. Previous research indicated that some traumatic events may have more severe influences on mental health than others; thus, the assessment of traumatic load may be improved by weighting event list items rather than calculating the simple sum score. Objective: We compared two statistical methods, Random Forests using Conditional Interference (RF-CI) and Least Absolute Shrinkage and Selection Operator (LASSO), based on their ability to rank traumatic experiences according to their importance for predicting lifetime PTSD. Methods: Statistical models were initially fitted in a sample of N₁ = 441 survivors of the Northern Ugandan rebel war. The ability to correctly predict lifetime PTSD was then tested in an independent sample of N₂ = 211, and subsequently compared with predictions by the simple sum score of different traumatic event types experienced. Results: Results indicate that RF-CI and LASSO allow for a ranking of traumatic events according to their predictive importance for lifetime PTSD. Moreover, RF-CI showed slightly better prediction accuracy than the simple sum score, followed by LASSO when comparing prediction results in the validation sample. Conclusion: Given the expense in time and calculation effort by RF-CI and LASSO, and the relatively low increase in prediction accuracy by RF-CI, we recommend using the simple sum score to measure the environmental factor traumatic load, e.g., in analyses of gene × environment interactions.