Background Non-suicidal self-injury (NSSI) and suicidal behavior (SB) are the major public health problems in adolescents. Despite the increased focus on these phenomena, there exist no reliable data in Nepal. This study aimed to determine the prevalence of NSSI and SB among adolescents. Furthermore the study identified the relationship between these two behaviors and assessed demographic, behavioral, and psychological risk factors of NSSI and SB in Nepalese adolescents in a representative sample of the general population. Methods The study was conducted among 730 adolescents studying in grade 9 to 12 of public and private schools of Pokhara Metropolitan city, Nepal. Data were collected through self administered standard tools- Functional Assessment of Self Mutilation (FASM) tool, Suicidal Behaviors Questionnaire-Revised (SBQ-R), Rosenberg self-esteem scale (RSES) and Beck Depression Inventory (BDI). Descriptive statistical measures such as frequency, percentage, mean, standard deviation, range were used to assess demographic characteristics and adolescent’s behavior regarding NSSI and suicide. For inferential analysis chi-square and one way ANOVA test was used. Furthermore, to determine the predictors of NSSI and SB, multiple logistic regression analysis was used. Results Regarding behavioral characteristics, nearly half of the sample 327 (44.8%) reported a history of NSSI in past 1 year. Furthermore, 25.8% (n = 188) of the overall sample engaged in minor NSSI only and 3.42% (n = 25) engaged in at least one act of moderate/severe NSSI. The mean number of type of NSSI performed was 2.63 ± 1.71. The most common type of NSSI method used were picking at wound (27.3%), biting self (20.3%), pulling hair out (11.8%), cutting self (11.1%). Boys (52.6%) were more likely to be engaged in NSSI than girls (47.4%) (χ2  =  10.298, p  =  0.002). Furthermore, among 730 adolescents who completed the SBQ-R questionnaire, 131 (17.9%) had suicidal behaviors (SB) (as defined by SBQ-R a total score ≥ 7). Regarding sex differences female were significantly higher in life time prevalence of suicidal behavior than male (χ2 = 30.26, p = 0.001). Simple Chi-square tests indicated that NSSI was significantly associated with SB (χ2 = 58.16, P < .001). Logistic regressions identified the four significant predictors of NSSI behavior: male, low-level of self-esteem (SE), moderate to severe form of depression and SB. Similarly, significant predictors of SB were: female, low-level of SE, moderate to severe form of depression and NSSI behavior. Conclusion The prevalence of both NSSI and SB is high in adolescents. Despite the differences between NSSI and SB a significant number of adolescents reported a history of both behaviors. Lower level of SE and moderate to severe depression were the significant predictors of both NSSI and SB. Furthermore, male and adolescents with the history of SB were at risk of NSSI behavior whereas female sex and adolescents with the history of NSSI were at risk of SB.

BACKGROUND: This study was designed to evaluate the impact of the COVID-19 pandemic on the learning status of students from different educational boards and universities of Nepal. An online survey was conducted from tenth to twentieth of September 2020 to record the data. MATERIAL AND METHODS: A self-designed questionnaire link, using “Google form” was sent to the students via social networks. A total of 589 participants shared their complete information. The simple percentage distribution was employed to evaluate the learning status of the students. RESULTS: During the lockdown period, >70% of the students were engaged in online classes, most commonly by using the Zoom app. The majority of the students were using WIFI as an internet source to attend online classes. Students have been suffering from various problems related to anxiety, stress, economic crises, poor internet connectivity, deprivation of study materials, required e-learning accessories, and an unsuitable study environment. Mainly, students from remote areas and middle income families suffered enormously. Among those participants, who were able to attend the online classes, the majority of students (70%) were dissatisfied with the ongoing online classes. Only 23.3% of the participants suggested the feasibility of online classes in the near future. CONCLUSION: Our study recommended that training teachers and students about online classes might create effectiveness toward e-learning. The government needs to provide free internet services to the remote areas and the poor students since in the current scenario, huge numbers of the population are struggling with the economic burden.

Background. Lockdown is recognized as an effective measure in limiting the spread of coronavirus (COVID-19) throughout the world. However, recurrent COVID-19 infection and the extension of lockdown have threatened the livelihoods of people, mainly socioeconomic and mental health dimensions. Objective. The present study is aimed at identifying the impact of COVID-19 lockdown on the daily life and mental health of the general population of Nepal. Furthermore, the study identified the predictors of the mental health status of the people during COVID-19 lockdown. Methods. The study was conducted among 354 Nepalese people specifically the breadwinner of the family. Respondents completed the questionnaires related to the sociodemographic characteristics, COVID-19, and its impact on various aspects of life, including mental health via Depression, Anxiety, and Stress Scale-21 items (DASS-21). Data was collected through the web-based method, Google Forms questionnaire. Respondents were contacted through email and social networks (Facebook, Messenger, WhatsApp, and Viber) following a snowball approach. Data was analyzed using descriptive and inferential statistics. Logistic regression analysis was done to identify significant demographic, COVID-related, and socioeconomic factors associated with mental health outcomes. Results. Based on DASS-21 scores, the prevalence of depression, anxiety, and stress was 46.6% (mild: 22.3%, moderate: 16.7%, severe: 6.5%, and extremely severe: 1.1), 42.1% (mild: 10.2%, moderate: 18.6%, severe: 11.6%, and extremely severe: 1.7%), and 39% (mild: 16.7%, moderate: 12.7%, and severe: 9.6%), respectively. Various factors associated with COVID-19, its lockdown measures, and sociodemographic characteristics of the people were identified as the significant predictors of depression, anxiety, and stress among the general population of Nepal. Conclusion. The impact of COVID-19 lockdown on individuals’ work, income, education, living standard, lifestyle, and consequently mental health is significant. The study findings warrant the importance of understanding the impact of the COVID-19 pandemic on individuals’ all aspects of life and timely monitoring and appropriate intervention on risk groups to reduce the severity and chronicity of mental health problems.

Verbal abuse among nurses is the most prevailing type of violence encountered by nurses. A cross-sectional research design was used to identify the characteristics of verbal abuse among nurses. A self-administered questionnaire was completed by 201 nurses working in a government hospital of Nepal. Nurses were exposed to verbal abuse and yelling or raising voice in an angry fashion was the most common forms experienced by 96.5% of the respondents. Patient’s relatives were reported as the main source of verbal abuse. Frequent exposure to verbal abuse was found in Nepalese nurses, which makes nurses feel unsupported, increased stress levels, and decreased sense of relaxation/well-being in the job. There is an immediate need of monitoring and training among nursing staff in recognition and management of aggressive behavior.