The aim of this study was to evaluate mental health outcomes in a population with different levels of ACE calculated by the EX2 scale, a variable that we hypothesized influences the appearance of mental health outcomes (measured by the MINI and the IRI scale). Through BLR and linear regression models, we found that the group with high ACE presented higher possibilities of reporting anxiety disorders, PTSD, and suicide risk. Additionally, this group also presented differences in cognitive dimensions of empathy evaluated by the IRI scale, evidencing higher scores in IRI-fantasy dimensions among individuals with high ACE, suggesting that this relation is crucial to program the socio-affective response.
Moreover, our study was supported by a previous validation of the EX2 scale (24). This allowed us to suggest that the EX2 cut-off point of 2.5 is sensitive and reliable to discriminate population’s mental health outcomes according to their low or high level of exposition to ACE. A similar cut-off point was previously reported for traumatic events (not only in armed conflict context) by Cherewick et al (43), where scores for potentially traumatic events were 2.2 and 2.3 for males and females respectively (43). This contributes to solving gaps presented in previous studies to classify the level of ACE in countries such as Colombia (19, 21, 23, 24, 44, 45). Although the construct of ACE is recent, our study found a relation between high levels of ACE through the EX2 scale and mental health disorders, particularly for anxiety disorders, PTSD, and risk of suicide. These findings complemented the information reported in other studies that evaluated mental health outcomes in different populations exposed to ACE (20, 21, 46, 47). Furthermore, a higher proportion of anxiety disorder, depression, PTSD, and smoking were observed in territories with more armed conflict actions.
Fantasy dimension is the ability to self-identify with fictional contexts (such as characters of novels). Previous studies based on the IRI scale in Colombian ex-combatants identified different empathic profiles (48–50). One of these profiles was effectively characterized by high scores in cognitive dimensions (i.e. FS, PT), suggesting that people exposed to ACE may tend more frequently to assign explanations to interpret unfortunate situations. Similar results were reported by Agaibi et al. (44), where people exposed to extreme stress and trauma experimented different patterns of coping styles, changing their socio-affective and mental health response. Empathic dimensions such as fantasy allow creating coping strategies to face traumatic situations in terms of religiosity, or high expectations about how things will get better in a near future. Furthermore, such relation of ACE and fantasy might influence their perception of affective and cognitive states and the response of their social context, as previous studies reported (51).
No other relations were found between ACE and mental health outcomes derived from MINI and IRI. To our knowledge, this is one of the first approaches that relate mental health outcomes (such as clinical conditions and empathy dimensions) with the exposition to ACE. In summary, our study confirmed the cut-off point suggested by Giraldo et al. (24), and showed to be a good predictor to explore mental health outcomes (e.g. mental disorders) in populations classified with high levels of ACE by the EX2 scale; mainly in anxiety disorders, PTSD, and risk of suicide.
Furthermore, the regression model was relevant to identify the relations between mental health outcomes and different levels of ACE. This model advanced in the identification of a) the influence of the exposition to ACE on the appearance of mental health disorders (i.e. anxiety disorders, suicide risk, and PTSD); and b) the relation between ACE and changes in empathic dispositions (i.e. fantasy). These models (based on levels of ACE calculated from the EX2 scale) improve the quality of information used to identify risk and protective factors. Additionally, previous studies classify their samples mainly by using a legal framework (i.e. victims, ex-combatants, and refugees) (16, 52). In this study, we propose a novel analysis of mental health outcomes for individuals exposed to ACE outside of such a framework used by other authors (21, 53). Thus, instead of considering only the mental health diagnosis, we also considered the use of socio-cognitive instruments to evidence social and affective aspects of mental health, such as it is presented in empathy dimensions. We aspire that this approach will improve the effectiveness of the attention to prevent outcomes in the populations affected by these events.
Although our sample size was small compared with previous studies (6), our statistical model guaranteed: 1) The reliability of the results, because the regression model is a robust model adapted for small sample sizes; 2) No differences in socio-demographic variables that commonly work as confounding; and finally, 3) our findings are aligned with previous studies that used large samples (7, 20, 21). In addition, studies about mental health in populations affected by armed conflicts had shown limitations in the reliability of the questionnaires to measure the exposition to ACE (2, 21, 23). Our study controlled this by using a validated instrument (i.e. EX2) (24) .
The results of our study represent an important piece of evidence for mental health professionals, especially to direct their efforts on strategies oriented to implement effective interventions required in populations affected by armed conflicts. Moreover, we suggest the importance of considering not only the aspects reported in this study but also other elements of their particular social context (e.g. access to health and educational services). On this sense, we expect that future studies develop two lines of intervention: 1) to perform a systematic characterization of the samples based on reliable inventories such as EX2 in populations affected by ACE. 2) through the implementation of evidence-based interventions, focused on enhancing social abilities, responding to particular contexts and beliefs, as reported in previous studies (7, 49, 54). This would contribute to integrate different approaches such as public health strategies, to develop cost-effective models to assess mental health risks across populations exposed to ACE.
Moreover, such intervention might enhance the sensitivity to evaluate mental health outcomes in armed conflict contexts, providing new evidence to transfer to epidemiological and clinical fields (36, 54). We envisage that in the future the replication of our results inform mental health public policies adapted for populations exposed to ACE. We expect that future studies will promote the use and transference of these associative models, not only to communities chronically exposed to armed conflicts but also to populations with extreme vulnerability experiences, such as refugees and people affected by forced displacement. Additionally, we expect further advances in the study of mental health outcomes and coping strategies observed in populations exposed to ACE (10).