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The burden of adolescent depression is high in low- and middle-income countries (LMICs), yet research into prevention is lacking. Development and validation of models to predict individualized risk of depression among adolescents in LMICs is rare but crucial to ensure appropriate targeting of preventive interventions. We assessed the ability of a model developed in Brazil, a middle-income country, to predict depression in an existing culturally different adolescent cohort from Nepal, a low-income country with a large youth population with high rates of depression. Data were utilized from the longitudinal study of 258 former child soldiers matched with 258 war-affected civilian adolescents in Nepal. Prediction modelling techniques were employed to predict individualized risk of depression at age 18 or older in the Nepali cohort using a penalized logistic regression model. Following a priori exclusions for prior depression and age, 55 child soldiers and 71 war-affected civilians were included in the final analysis. The model was well calibrated, had good overall performance, and achieved good discrimination between depressed and non-depressed individuals with an area under the curve (AUC) of 0.73 (bootstrap-corrected 95% confidence interval 0.62–0.83). The Brazilian model comprising seven matching sociodemographic predictors, was able to stratify individualized risk of depression in a Nepali adolescent cohort. Further testing of the model’s performance in larger socio-culturally diverse samples in other geographical regions should be attempted to test the model’s wider generalizability.

Post-conflict mental health studies in low-income countries have lacked pre-conflict data to evaluate changes in psychiatric morbidity resulting from political violence. This prospective study compares mental health before and after exposure to direct political violence during the People's War in Nepal. An adult cohort completed the Beck Depression Inventory and Beck Anxiety Inventory in 2000 prior to conflict violence in their community and in 2007 after the war. Of the original 316 participants, 298 (94%) participated in the post-conflict assessment. Depression increased from 30.9 to 40.6%. Anxiety increased from 26.2 to 47.7%. Post-conflict post-traumatic stress disorder (PTSD) was 14.1%. Controlling for ageing, the depression increase was not significant. The anxiety increase showed a dose-response association with conflict exposure when controlling for ageing and daily stressors. No demographic group displayed unique vulnerability or resilience to the effects of conflict exposure. Conflict exposure should be considered in the context of other types of psychiatric risk factors. Conflict exposure predicted increases in anxiety whereas socioeconomic factors and non-conflict stressful life events were the major predictors of depression. Research and interventions in post-conflict settings therefore should consider differential trajectories for depression v. anxiety and the importance of addressing chronic social problems ranging from poverty to gender and ethnic/caste discrimination.

Background A lower respiratory tract infection caused by novel coronavirus termed as Corona Virus Disease (COVID-19) was first identified in China and subsequently took the form of pandemic. Studies on disease outbreak in the past and recent COVID-19 outbreak have demonstrated increased psychological distress and adverse impacts on mental health and psychological wellbeing of people. However, the impact of COVID-19 on psychological wellbeing of people in Nepal hasn't been studied adequately. So, this paper aims to report the findings from a social media survey on psychological impacts of COVID-19 in Nepal. Methods Data were collected through social media from 2082 Nepalese respondents between 23rd April, 2020 and 3rd May, 2020. A total of 2014 respondents who were currently residing in Nepal were included in the analysis. Results The study suggested that half of the respondents suffered from at least one symptom of psychological distress whereas 32% suffered from two or more symptoms of psychological distress such as restlessness, fearfulness, anxiety and worry and sadness in the past 2 weeks preceding the survey date. The findings further suggested that respondents having lower family income, residing in rented room, and participants from province 2 were more likely to suffer from both single and multiple symptoms of psychological distress. Conclusion The study has shown high prevalence of psychological distress amongst the Nepalese respondents following COVID-19 outbreak. Appropriate mental health and psychosocial support response needs to be instituted to adequately respond to psychological impacts of the epidemic.

BackgroundPost-conflict mental health studies in low-income countries have lackedpre-conflict data to evaluate changes in psychiatric morbidity resultingfrom political violence.AimsThis prospective study compares mental health before and after exposureto direct political violence during the People's War in Nepal.MethodAn adult cohort completed the Beck Depression Inventory and Beck AnxietyInventory in 2000 prior to conflict violence in their community and in2007 after the war.ResultsOf the original 316 participants, 298 (94%) participated in thepost-conflict assessment. Depression increased from 30.9 to 40.6%.Anxiety increased from 26.2 to 47.7%. Post-conflict post-traumatic stressdisorder (PTSD) was 14.1%. Controlling for ageing, the depressionincrease was not significant. The anxiety increase showed a dose–responseassociation with conflict exposure when controlling for ageing and dailystressors. No demographic group displayed unique vulnerability orresilience to the effects of conflict exposure.ConclusionsConflict exposure should be considered in the context of other types ofpsychiatric risk factors. Conflict exposure predicted increases inanxiety whereas socioeconomic factors and non-conflict stressful lifeevents were the major predictors of depression. Research andinterventions in postconflict settings therefore should considerdifferential trajectories for depression v. anxiety andthe importance of addressing chronic social problems ranging from povertyto gender and ethnic/caste discrimination.

Quality of life is defined by the World Health Organization as \"Individuals’ perception of their position in life in the context of the culture and value systems in which they live and in relation to their goals, expectations, standards and concerns\". It is a comprehensive measure of health outcome after trauma. Childhood maltreatment is a determinant of poor mental health and quality of life. Resilience, however, is supposed to be protective. Our aim is to examine childhood trauma and resilience in patients visiting psychiatry outpatient and investigate their relations with quality of life. A descriptive cross-sectional study was conducted with a hundred patients with trauma and visiting psychiatry outpatient. Standardized tools were applied to explore childhood trauma, resilience, quality of life and clinical diagnoses and trauma categorization. Sociodemographic and relevant clinical information were obtained with a structured proforma. Bivariate followed by multivariate logistic regressions were conducted to explore the relation between childhood trauma, resilience, and quality of life. Poor quality of life was reported in almost one third of the patients. Upper socioeconomic status, emotional neglect during childhood, current depression and low resilience were the determinants of poor quality of life in bivariate analysis. Final models revealed that emotional neglect during childhood and low resilience had independent associations with poor quality of life. Efforts should be made to minimize childhood maltreatment in general; and explore strategies to build resilience suited to the cultural context to improve quality of life.

Nepal, like many other low-income countries, has a great burden of mental health issues but few resources to meet them. In addition, Nepal has endured several traumatic events in recent decades but the impact on mental health has not been studied in clinical settings. This study explores trauma-related psychiatric disorders and their correlates. 100 patients with a history of trauma who visited the outpatient psychiatry clinic at a University hospital in Kathmandu were assessed. The Composite International Diagnostic Interview 2.1 (CIDI) was used to evaluate lifetime and current depressive disorder, generalized anxiety disorder (GAD) and lifetime post-traumatic stress disorder (PTSD). Current PTSD was evaluated using PSTD Checklist-Civilian Version (PCL-C). The median number of lifetime traumatic events was two. Natural disaster was the most common trauma type (84%) compared to other types of trauma. Rape was reported as the most traumatizing. Current PTSD was found in 15%, depression in 33% and GAD in 38% of the patients. The lifetime rates were PTSD 83%, depression 45% and GAD 40%. There was high comorbidity between the disorders. The 31 to 45 years age group, above high school education level and trauma types other than earthquake were independently associated with current PTSD. Marital status and upper socioeconomic status (SES) compared to upper-middle SES were independently associated with lifetime PTSD. Both lifetime and current depression rates were independently associated with the upper SES compared to upper-middle SES. Place of living, education above high school and lower-middle SES were significantly associated with lifetime and current GAD. PTSD, depression and GAD were prevalent in a trauma exposed patient population visiting a psychiatric clinic in Nepal. High rates of comorbidities and several risk factors were identified. Our findings highlight the need for addressing trauma related disorders in clinical settings in developing countries.

Quality of life is defined by the World Health Organization as \"Individuals’ perception of their position in life in the context of the culture and value systems in which they live and in relation to their goals, expectations, standards and concerns\". It is a comprehensive measure of health outcome after trauma. Childhood maltreatment is a determinant of poor mental health and quality of life. Resilience, however, is supposed to be protective. Our aim is to examine childhood trauma and resilience in patients visiting psychiatry outpatient and investigate their relations with quality of life. A descriptive cross-sectional study was conducted with a hundred patients with trauma and visiting psychiatry outpatient. Standardized tools were applied to explore childhood trauma, resilience, quality of life and clinical diagnoses and trauma categorization. Sociodemographic and relevant clinical information were obtained with a structured proforma. Bivariate followed by multivariate logistic regressions were conducted to explore the relation between childhood trauma, resilience, and quality of life. Poor quality of life was reported in almost one third of the patients. Upper socioeconomic status, emotional neglect during childhood, current depression and low resilience were the determinants of poor quality of life in bivariate analysis. Final models revealed that emotional neglect during childhood and low resilience had independent associations with poor quality of life. Efforts should be made to minimize childhood maltreatment in general; and explore strategies to build resilience suited to the cultural context to improve quality of life.

Background Quality of life is an important indicator of health and has multiple dimensions. It is adversely affected in patients with trauma history, and psychiatric disorders play an important role therein. Studies in trauma-affected populations focus mainly on the development of psychiatric disorders. Our study explored various aspects of quality of life in trauma patients in a clinical setting, mainly focusing on the association of psychiatric disorders on various domains of quality of life. Methods One hundred patients seeking help at the psychiatry outpatient of a tertiary hospital in Kathmandu, Nepal, and with history of trauma were interviewed using the World Health Organization Composite International Diagnostic Interview version 2.1 for trauma categorization. Post-traumatic stress disorder symptoms were assessed using the Post-Traumatic Stress Disorder Checklist-Civilian Version; while the level of anxiety and depression symptoms was assessed using the 25-item Hopkins Symptom Checklist-25. Quality of life was assessed using the World Health Organization Quality Of Life-Brief Version measure. Information on sociodemographic and trauma-related variables was collected using a semi-structured interview schedule. The associations between psychiatric disorders and quality of life domains were explored using bivariate analyses followed by multiple regressions. Results The mean scores (standard deviations) for overall quality of life and health status perception were 2.79 (.87) and 2.35 (1.11), respectively. The mean scores for the physical, psychological, social and environmental domains were 12.31 (2.96), 11.46 (2.84), 12.79 (2.89), and 13.36 (1.79), respectively. Natural disaster was the only trauma variable significantly associated with overall quality of life, but not with other domains. Anxiety, depression and post-traumatic stress disorder were all significantly associated with various quality of life domains, where anxiety had the greatest number of associations. Conclusion Quality of life, overall and across domains, was affected in various ways based on the presence of psychiatric disorders such as anxiety, depression and post-traumatic stress disorder in patients with trauma. Our findings therefore emphasize the need to address these disorders in a systematic way to improve the patients’ quality of life.

Background Minimally Invasive Tissue Sampling (MITS) has been successfully used to establish the cause of death in low- and middle-income countries, mostly in stillbirths and neonates. The objective of this study was to determine the causes of death among adults using MITS in the Gandaki province of Nepal and to find out the contribution of MITS to identify the causes of death. Methods A multicentric hospital-based pilot study was conducted to enroll 100 cases of adult deaths. The specimens of cerebrospinal fluid, blood, brain, lungs, and liver tissue were collected utilizing MITS. These specimens underwent standard histopathological, serological, and microbiological analyses. The findings from MITS, and if available, clinical records and forensic autopsy findings were compiled and the cause of death panel identified the causes of death. The final cause of death allocated to each case was based on the WHO International Medical Certificate of Death. Results Among a total of 100 cases enrolled during the study period, infectious cause attributed to the immediate cause of death in 77 (77%), cardiovascular in 10 (10%), neurological in 8 (8%), malignancy in two (2%), and gastrointestinal and hepatobiliary cause in one (1%) case. The mean age of the cases was 50.8 ± 15.9 years and 76 (76%) were males. MITS established the cause of death in the causal chain of events in 81(81%) cases and identified the cause of death significantly more with infectious than non-infectious causes ( p  < 0.001). Conclusions MITS was useful in establishing the cause of death in the majority of adult deaths and the most common cause was infectious disease. Our findings suggest that MITS can be a valuable and alternative tool for mortality surveillance in low-resource settings, where complete diagnostic autopsies are less accepted or less prioritized.