Mental health outcomes in communities exposed to Armed Conflict Experiences

War, emotions, mental health, and artificial intelligence

During the war time dysregulation of negative emotions such as fear, anger, hatred, frustration, sadness, humiliation, and hopelessness can overrule normal societal values, culture, and endanger global peace and security, and mental health in affected societies. Therefore, it is understandable that the range and power of negative emotions may play important roles in consideration of human behavior in any armed conflict. The estimation and assessment of dominant negative emotions during war time are crucial but are challenged by the complexity of emotions' neuro-psycho-physiology. Currently available natural language processing (NLP) tools have comprehensive computational methods to analyze and understand the emotional content of related textual data in war-inflicted societies. Innovative AI-driven technologies incorporating machine learning, neuro-linguistic programming, cloud infrastructure, and novel digital therapeutic tools and applications present an immense potential to enhance mental health care worldwide. This advancement could make mental health services more cost-effective and readily accessible. Due to the inadequate number of psychiatrists and limited psychiatric resources in coping with mental health consequences of war and traumas, new digital therapeutic wearable devices supported by AI tools and means might be promising approach in psychiatry of future. Transformation of negative dominant emotional maps might be undertaken by the simultaneous combination of online cognitive behavioral therapy (CBT) on individual level, as well as usage of emotionally based strategic communications (EBSC) on a public level. The proposed positive emotional transformation by means of CBT and EBSC may provide important leverage in efforts to protect mental health of civil population in war-inflicted societies. AI-based tools that can be applied in design of EBSC stimuli, like Open AI Chat GPT or Google Gemini may have great potential to significantly enhance emotionally based strategic communications by more comprehensive understanding of semantic and linguistic analysis of available text datasets of war-traumatized society. Human in the loop enhanced by Chat GPT and Gemini can aid in design and development of emotionally annotated messages that resonate among targeted population, amplifying the impact of strategic communications in shaping human dominant emotional maps into a more positive by CBT and EBCS.

Profiles of suicide attempted in children and adolescents

OBJECTIVE

Suicide attempt (SA) is the strongest predictive variable for completed suicide. The Department of Cauca in Colombia has an SA rate higher than the national average, but the factors are unknown. The objective was to identify the profiles of SA in children and adolescents of Cauca.

METHODS

Cross-sectional study, which included all SA (Event-356) records from the SIVIGILA platform in children under 18 years of age between 2016 and 2019. The authors described the variables and multiple correspondence analysis (MCA) with the Burt method, according to the completeness of the data to establish the possible SA profiles using STATA 15.1, and R. The Ethics Committee at Universidad del Cauca approved it.

RESULTS

The study found 977 SA during this period, 72.4% female, 97.1% adolescent, 74.4% mestizo, 19.3% indigenous, 45.3% resided in municipalities exposed to the armed conflict, 32.3% expressed ideation and previous attempts, and 15.5% prior attempts. The MCA included 810 SA and identified three profiles: "Classic", which had mestizo adolescents with a history of prior SA, mental illness, or psychoactive substance use problems; "Related to the armed conflict", which included female adolescents with a first SA and residents in municipalities exposed to the armed conflict; "Ethnic" represented by male indigenous, with housing in a rural area.

CONCLUSION

The SA profiles found in Cauca were "Classic", "Related to the armed conflict", and "Ethnic"; these can be considered to implement prevention strategies from a cross-cultural, mental health, and gender perspective, with the presence of the state in the territories.

A mini-review on safeguarding global health amidst a "Pandemic" of armed conflicts

The year 2022 witnessed an alarming surge in state-based armed conflicts globally, reaching a staggering 56, with major hostilities in Ukraine, Myanmar, and Nigeria resulting in over 10,000 estimated conflict-related deaths. This trend continued with the onset of a significant conflict between Israel and Hamas in October 2023. The escalating frequency of armed conflicts, reaching the highest number since 1946, poses a critical threat to global health. This paper explores the multifaceted health impacts of armed conflicts, encompassing physical injuries, infectious diseases, malnutrition, and profound mental health consequences. Healthcare systems in conflict zones face severe strain, and achieving Sustainable Development Goals by 2030 becomes increasingly challenging. The surge in armed conflicts globally is characterized as a "pandemic," justifying urgent attention. The paper identifies and discusses strategies to safeguard public health in conflict zones, emphasizing humanitarian response, protecting healthcare workers and infrastructure, building preparedness and resilience, and promoting mental health support. In navigating this "pandemic" of armed conflicts, comprehensive strategies are imperative to address the intricate challenges and secure a healthier global future.