Highlights This is the first study to investigate the mental health status of Bangladeshi medical students during COVID-19 pandemic. The HADS anxiety subscale revealed that 65.9% of the medical students had different levels of anxiety, ranging from mild (27.3%), moderate (26.8%), and severe (11.8%). As per HADS depression subscale, 49.9% of the medical students had varying degrees of depressive symptoms, with 3.3% of the participants had suffered from severely severe depressive symptoms. Female students had a relatively more anxiety and depressive symptoms, when compared with males. The students, who were severely tensed of getting infected by the virus, were at higher risk of suffering from anxiety (3.5-fold) and depressive (2.7-fold) symptoms (2.7-fold), when compared with no/minimally stressed students.

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Background: Recent trends suggest that university graduates seeking jobs are more susceptible to common mental disorders, such as depression, anxiety, or stress. However, the mental health issues among unemployed graduates has not been explored in Bangladesh yet. Aims: This study aimed to assess for the first time the prevalence and associated risk factors of depression, anxiety, and stress among Bangladesh Civil Service (BCS) job seekers. Three hundred four graduates residing in Rajshahi, Bangladesh, who were preparing to attend the 40 th BCS examination, the most sought-after employment opportunity in the country, were surveyed. Methods: Measures included socio-demographics, field of study, and career-related variables, and the Bangla Depression Anxiety Stress Scale (DASS-21). Chi-square test, Fisher exact test, and binary logistic regression with “depression,” “anxiety,” and “stress” as the dependent variables were carried out to identify the factors associated with these. Results: Overall, the prevalence of moderate to extremely severe depression, anxiety, and stress was 49.3%, 53.6%, and 28.3%, respectively, with no detectable differences between genders. Insecurity related to a BCS job (OR = 0.41; CI = 0.26–0.65, p < 0.001; ref: job insecurity), family and social pressure to obtain a BCS job (OR = 4.58; CI = 1.67–12.56, p < 0.001), and stress (OR = 8.33; CI = 4.47–15.51, p < 0.001) emerged as independent predictors for depression. In addition, having part-time job was associated with anxiety (OR = 2.38; CI = 1.34–4.23, p = 0.003), and security in a BCS job and serving the nation through this job were negatively associated with stress (OR = 0.59; CI = 0.35–0.98, p = 0.042 vs. OR = 0.59; CI = 0.36–1.00, p = 0.05). Conclusion: The relatively high rates of depression, anxiety, and stress among graduate job seekers should prompt implementation of market force initiatives that incorporate interventions related to the major risk factors uncovered herein.

Although internet addiction (IA) has been the subject of research in many countries, it is poorly studied in Bangladesh, and previous studies in the country have not examined potential mental health risk factors in relation to the development of IA. The present pilot study attempted to assess the prevalence and associated risk factors of IA among a convenience sample of recently graduated university students actively looking for a job (N = 284) from July to October 2018 in Rajshahi (a city in Bangladesh). The measures included socio-demographic and behavioral variables, the Internet Addiction Test (IAT), and the Depression, Anxiety, and Stress Scale. Surprisingly, no cases of IA were identified in the sample (i.e., the prevalence rate of IA was 0%) which may have been a consequence of the specific population sampled. A total of 3.9% of the participants (n = 11) were classified as excessive users (≥ 60 in IAT). Using regression analysis, the risk factors for excessive internet use were spending more time online (> 5 h daily) and experiencing psychiatric conditions (i.e., depression, stress). It is hoped the present pilot study will facilitate further study in Bangladesh with a more in-depth focus on the socio-demographic and psychiatric morbidities in excessive and problematic internet use. It is also speculated that job-seeking may be a situational protective risk factor for developing IA.