Background: The university period is taken as a risk period for the onset of several mental disorders as this period is stressful and most of the lifetime mental disorders start typically during this young age. The present study aimed to assess the prevalence and risk factors associated with depression, anxiety, and stress among undergraduates residing at Pokhara Metropolitan, Nepal.Methods: A cross-sectional study was conducted among 681 undergraduates from different academic institutions of Pokhara Metropolitan using DASS-21 to assess the level of depression, anxiety, and stress. Results: The overall prevalence of depression, anxiety, and stress among the participants was found to be 38.2%, 46.9%, and 24.1% respectively. The level of depression and stress was not associated with the academic discipline but the higher prevalence was noted among the students from the non-technical group. The major risk factors associated with depression, anxiety and stress were parental education, family history of psychiatric disorders, self-esteem, and academic performance.Conclusions: The prevalence of mental disorders is high among the undergraduates. Further assessment of these disorders targeting students from different academic disciplines is recommended.Keywords: Anxiety; depression; risk factors; stress; undergraduates

Objective: This study examined the prevalence and factors associated with depression among adolescents attending higher secondary schools in the Pokhara Metropolitan City of Nepal. Design: A cross-sectional study design was adopted. Setting: Four randomly selected higher secondary schools of Pokhara Metropolitan, Nepal. Participants: 312 randomly sampled higher secondary school students. Methods: The Center for Epidemiologic Studies Depression Scale was used to assess the level of depression among students. The data collected through a self-administered questionnaire were analysed using descriptive statistical methods such as frequency and percentage. χ ² test and unadjusted OR (UOR) were calculated to assess the statistical relationship between depression and various variables at 95% CI, with level of significance at p<0.05. Results: The study found a high prevalence of depression among high school students, with more than two-fifths (44.2%) of students having depression. Furthermore, almost a quarter (25.3%) of the students were noted to have mild depression and 18.9% of the students expressed major depression. Students who had low perceived social support (UOR: 3.604; 95% CI 2.088 to 6.220), did not share their problems with anyone (UOR: 1.931; 95% CI 1.228 to 3.038) and had low self-esteem (UOR: 5.282; 95% CI 2.994 to 9.319) were at higher odds of being depressed. Conclusion: A high prevalence of depression was observed among high school students. It was also observed that students’ level of perceived social support, self-esteem and help-seeking behaviour are somehow related to their mental well-being. Hence, improving social support and self-esteem may alleviate depression and mental distress among these adolescents.

Coronavirus disease 2019 (COVID-19) is a newly emerged disease that has become a global public health concern as it rapidly spread around the world. The etiologic agent responsible for this disease has been named as severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) by the International Committee on Taxonomy of Viruses as it shows similar genomic features to that of SARS-CoV which caused a pandemic in 2002. This disease first appeared in Hubei province of China and it follows human-to-human transmission but the path this virus took to set up human infection remains a mystery. By 17 April 2020, globally there have been 2,074,529 confirmed cases with 139,378 deaths because of COVID-19. SARS-CoV-2 shows several similarities with SARS?CoV, and Middle East Respiratory Syndrome Coronavirus (MERS-CoV) with its clinical presentations. This can vary from asymptomatic infection to severe disease and mortality. Real-time reverse-transcription polymerase chain reaction (rRT-PCR) screening is considered as the standard laboratory test for the diagnosis of COVID-19. There is no proven antiviral agent against SARS-CoV-2 so the treatment for COVID-19 is symptomatic, aiming for the management of the symptoms and prevention of the complications. The outbreak of COVID-19 has led to the implementation of extraordinary public health measures throughout the world. Numerous antiviral compounds used to treat other infections are being clinically researched to find possible treatment. Similarly, the traditional public health outbreak response strategy of isolation, quarantine, social distancing and community containment has been implemented in multiple countries and has played an important role in the prevention of new outbreaks. This review aims to enhance our understanding of COVID 19.Keywords: Coronavirus disease 2019; COVID-19; SARS-CoV-2; novel coronavirus 2019; severe acute respiratory syndrome-2

Background. Internet has penetrated all processes of life and has become an unavoidable part of people’s daily life. This widespread use of the Internet has resulted in significant concerns with regard to problematic Internet behaviours and related conditions. The aim of the study was to find out the prevalence of Internet addiction and its associated factors among undergraduate students in Kathmandu. Materials and Methods. We included all together 344 undergraduate students from different colleges affiliated to Pokhara University for this cross-sectional study. We used self-administered questionnaire consisting of the Internet Addiction Test scale to assess the Internet addiction. We coded the data, entered it in Epi-Data 3.1 and transferred to IBM SPSS 25 for analysis. We applied bivariate and multivariate logistic regression analysis to identify factors associated with Internet addiction, and value <0.05 was considered as statistically significantt. Results. The prevalence of Internet addiction was found to be 29.90% (95% CI: 25.0–34.9). In the chi-squared test relationship with parents, parental control over the Internet use, perceived feeling of loneliness, and time spent on internet per day were found to be statistically associated ( ) with Internet addiction. Conclusion. This study revealed nearly one-third of the Internet addiction among undergraduate students. Relationship with parents, parental control over the internet use, perceived loneliness feelings, and time spent on internet per day were significantly associated with Internet addiction along other factors. Therefore, it is important to raise awareness among young generation, parents, and teachers towards risk of Internet addiction.

Objectives: To estimate the prevalence of anxiety and depression and identify the associated factors among people with type 2 diabetes mellitus (T2DM) visiting diabetes clinics of Pokhara Metropolitan, Nepal. Design: Cross-sectional study. Setting: Three diabetes clinics in Pokhara Metropolitan, Nepal, from May to July 2021. Participants: 283 people with T2DM visiting selected diabetes centres of Pokhara Metropolitan. Outcome measures: Anxiety and depression were the outcome measures. Face-to-face interviews were conducted using a structured questionnaire comprising information related to participants’ sociodemographic profile and several factors along with Hospital Anxiety and Depression-Anxiety subscale and Patient Health Questionnaire-9 to assess the levels of anxiety and depression, respectively. Pearson’s Χ ² tests and binary logistic regression were performed to examine association between dependent and independent variables at 5% level of significance. Results: The prevalence of anxiety and depression was 31.4% (95% CI 26.2% to 37.5%) and 36.4% (95% CI 30.8% to 42.0%), respectively. Anxiety was found to be associated with a lower level of perceived social support (adjusted OR (AOR) 2.442, 95% CI 1.020 to 5.845), multiple complications (AOR 2.758, 95% CI 1.015 to 7.334) and comorbidities (AOR 2.110, 95% CI 1.004 to 4.436), severe COVID-19 fear (AOR 2.343, 95% CI 1.123 to 4.887) and sleep dissatisfaction (AOR 1.912, 95% CI 1.073 to 3.047). Economical dependency (AOR 1.890, 95% CI 1.026 to 3.482), no insurance (AOR 2.973, 95% CI 1.134 to 7.093), lower perceived social support (AOR 2.883, 95% CI 1.158 to 7.181), multiple complications (AOR 2.308, 95% CI 1.585 to 6.422) and comorbidities (AOR 2.575, 95% CI 1.180 to 5.617), severe COVID-19 fear (AOR 2.117, 95% CI 1.009 to 4.573), alcohol use (AOR 2.401, 95% CI 1.199 to 4.806) and sleep dissatisfaction (AOR 1.995, 95% CI 1.093 to 3.644) were found to be associated with depression. Conclusion: This study showed high prevalence levels of anxiety and depression among people with T2DM. Strengthening social support and focusing on people with diabetes suffering from comorbidity and complications could help to reduce their risk of mental health problems.

Objectives: To estimate the prevalence of antenatal depression and identify its associated factors among pregnant women of Godawari Municipality, Lalitpur, Nepal. Design: Community-based cross-sectional study. Setting: Godawari Municipality, Lalitpur, Nepal, between September and November 2021. Participants: 250 randomly selected pregnant women of Godawari Municipality, Lalitpur, Nepal. Main outcome measures: The level of antenatal depression was assessed using Edinburgh Postnatal Depression Scale. χ ² test and multivariate logistic regression analysis were applied to determine the association between antenatal depression and related variables at 95% level of confidence. Results: The prevalence of antenatal depression was found to be 24.8% (95% CI: 19.2 to 30.7). Multigravida (AOR: 2.219, 95% CI: 1.113 to 4.423), unintended pregnancy (AOR: 2.547, 95% CI: 1.204 to 5.388), male sex preference of child by family (AOR: 2.531, 95% CI: 1.204 to 5.321) and intimate partner violence (AOR: 2.276, 95% CI: 1.116 to 4.640) were found to be the positive predictors of antenatal depression. Conclusion: This study showed a high prevalence of depression among pregnant women. The results suggest a need for mental health assessment during pregnancy. Screening for depression should be part of routine antenatal checkups for early detection and management of mental health concerns during this vulnerable period.