Predictive factors of insomnia during the COVID-19 pandemic in Bangladesh: a GIS-based nationwide distribution

Exploring Sleep Duration and Insomnia Among Prospective University Students: A Study with Geographical Data and Machine Learning Techniques

Background

Sleep disruptions among prospective university students are increasingly recognized for their potential ramifications on academic achievement and psychological well-being. But, information regarding sleep issues among students preparing for university entrance exams is unknown. Thus, this study aimed to investigate the prevalence and factors associated with sleep duration and insomnia among university entrance test-takers in Bangladesh, utilizing both traditional statistical analyses and advanced geographic information system and machine learning techniques for enhanced predictive capability.

Methods

A cross-sectional study was conducted in June 2023 among 1496 entrance test-takers at Jahangirnagar University, Dhaka. Structured questionnaires collected data on demographics, academic information, and mental health assessments. Statistical analyses, including chi-square tests and logistic regression, were performed using SPSS, while machine learning models were applied using Python and Google Colab.

Results

Approximately 62.9% of participants reported abnormal sleep duration (<7 hours/night or >9 hours/night), with 25.5% experiencing insomnia. Females and those dissatisfied with mock tests were more likely to report abnormal sleep duration, while repeat test-takers, those with unsatisfactory mock test results, or anxiety symptoms had a higher risk of insomnia. Machine learning identified satisfaction with previous mock tests as the most significant predictor of sleep disturbances, while higher secondary school certificate GPA had the least influence. The CatBoost model achieved maximum accuracy rates of 61.27% and 73.46%, respectively, for predicting sleep duration and insomnia, with low log loss values indicating robust predictive performance. Geographic analysis revealed regional variations in sleep disturbances, with higher insomnia prevalence in some southern districts and abnormal sleep duration in northern and eastern districts.

Conclusion

Sleep disturbances are prevalent among prospective university students and are associated with various factors including gender, test-taking status, mock test satisfaction, and anxiety. Targeted interventions, including sleep education and psychological support, hold promise in ameliorating sleep health and overall well-being among students, potentially enhancing entrance test performance.

Geographic information systems adoption model: A partial least square-structural equation modeling analysis approach

The ability of Geographic Information System (GIS) to organize, analyze, visualize and integrate spatial data has been at the top of its primary uses among professional industries. However, considering the extensive adoption of Information System (IS) throughout history for government organizations' or citizens' disaster response, the implementation of geographical elements is still minimal. Previous GIS models and framework studies, particularly in developing countries, were affected by pandemic pressure, competitiveness pressure, change management, and security factors. Thus, this study aims to develop a model for the successful adoption of GIS using the Technology Acceptance Model (TAM), and De Lone and Mc Lean Information Success Model and analyze the applicability of the existing factors to enhance the performance of Public Sector Organizations (PSOs). From the study, a new conceptual framework was proposed to examine the effects of factors on GIS adoption that impact performance among PSOs from the perspective of Saudi Arabia. Quantitative methods were used to collect data through a questionnaire distributed to 350 respondents from PSO, and only 272 were found to be valid. Partial Least Square Structural Equation Modeling (PLS-SEM) validated the GIS model. The finding revealed that system quality, service quality, change management, competitiveness pressure, perceived ease of use, perceived usefulness, and security factors significantly and positively affected GIS adoption. The study also showed that GIS adoption substantially affected PSO performance. The proposed model provides insight into how GIS adoption can eventually enhance performance among PSOs. In essence, the study contributes to the running of PSO and the decisions taken by policymakers.

Mediating effects of insomnia and resilience on COVID-19-related post-traumatic stress disorder and quality of life in adolescents

The coronavirus disease-2019 (COVID-19) pandemic has impaired the quality of life (QoL) for many due to its extensive impacts. However, few studies have addressed the specific impact of COVID-19 on the mental health of adolescents, particularly post-traumatic stress disorder (PTSD). This study considered the impact of COVID-19-related PTSD on the QoL of adolescents in China, the mediating effects of insomnia, and the moderating effects of resilience. Participants included 50,666 adolescents aged 12-18 years selected using a comprehensive sampling method. We performed data collection from January 8th to January 18th, 2023, using the Children's Revised Impact of Event Scale, Pittsburgh Sleep Quality Index, Ten-item Connor-Davidson Resilience Scale, and Screening for and Promotion of Health-related QoL in Children and Adolescents Questionnaire for data collection. Male adolescents exhibited significantly lower levels of PTSD and insomnia compared to females and scored significantly higher in psychological resilience and overall QoL. Insomnia played a mediating role between PTSD and QoL. Psychological resilience moderated the impact of COVID-19-related stress on adolescents' QoL through its influence on insomnia. PTSD resulting from the COVID-19 pandemic affects the QoL of adolescents through the presence of insomnia. Psychological resilience plays a moderating role in this process. Cultivating psychological resilience in adolescents can effectively enhance their ability to cope with the impacts of sudden public events.

Unveiling Coronasomnia: Pandemic Stress and Sleep Problems During the COVID-19 Outbreak

The COVID-19 pandemic posed an unprecedented challenge to public well-being, necessitating an examination of its health impact. This review discusses the relationship between pandemic-induced stressors and individual sleep patterns and quality. The pandemic stressors include lockdown or physical distancing measures, direct virus exposure, and the dissemination of misinformation and disinformation. The pandemic led to delayed sleep-wake cycles, except for healthcare professionals, and worsened sleep quality. The prevalence of insomnia was higher for women due to pre-existing conditions and susceptibility stressors such as lockdown stress and family responsibilities. Healthcare professionals, who experienced worsened work conditions during the pandemic, reported higher rates of insomnia and sleep difficulties due to infection anxiety and post-traumatic stress from direct virus exposure. For the general population, stress stemmed from social isolation under lockdown and overwhelming false information available online, resulting in sleep problems. Taken together, the findings highlight the importance of promoting social interactions, providing psychological support services, and caution in navigating health information. In summary, this review underscores the need for individual- and group-centered approaches in ongoing research and interventions to address pandemic-related stress and sleep issues during COVID-19.

Prevalence and factors associated with insomnia among medical students in China during the COVID-19 pandemic: characterization and associated factors

BACKGROUND

Insomnia has become an important issue in recent years. Insomnia is affected by many factors. Previous research has shown that during the COVID-19 pandemic, there would be a long-term negative effect on the mental health of medical college students. The state of medical college students' insomnia directly determines the results of medical education and the career development prospects of the medical students themselves. Therefore, it is very important to understand the insomnia situation of medical students in the post-epidemic era.

METHODS

This study was conducted 2 years after the global COVID-19 pandemic (April 1-April 23, 2022). The study used an online questionnaire, administered through a web-based survey platform. The Athens Insomnia Scale (AIS), Fear of COVID-19 Scale (FCV-19S), GAD-2, PHQ-2, and socio-demographic information were surveyed by the Questionnaire Star platform.

RESULTS

The prevalence of insomnia was 27.80% (636/2289). Grade(P < 0.05), age(P < 0.001), loneliness(P < 0.001), depression(P < 0.001), anxiety(P < 0.001), fear of COVID-19 was highly correlated with insomnia (P < 0.001). Adapting to online class(P < 0.001) was a protective factor of smartphone addiction.

CONCLUSIONS

This survey shows that Insomnia was highly prevalent among the Chinese medical college students during the COVID-19 pandemic. Governments and schools should through psychological interventions to address the current situation of insomnia among medical students, and formulate targeted programs and strategies to reduce their psychological problems.

Internet addiction during the COVID-19 pandemic among adolescents in southeast Nigeria and implications for adolescent care in the post-pandemic era: A cross-sectional study

Objectives

This study aimed to determine the prevalence and associated factors of internet addiction amongst adolescents in Southeast Nigeria during the coronavirus disease 2019 (COVID-19) era.

Methods

A cross-sectional study was carried out in 10 randomly selected secondary schools, 2 (one urban and one rural) each from Abia, Anambra, Ebonyi Enugu and Imo states of southeastern Nigeria between July and August 2021. Data on demographic variables were collected using a structured self-administered questionnaire. Young's Internet Addiction Test was used to assess the extent of internet use. Analysis was done using the IBM SPSS Statistics version 23. The level of significance was set at a p-value of <0.05.

Results

The mean age of the respondents was 16.2 ± 1.8 years and the male: female ratio was 1:1.6. Most of the adolescents (61.1%) used the internet for academic purposes, while 32.8% used it for social interactions and the majority (51.5%) used their phones. The prevalence of internet addiction was 88.1% (24.9% had mild, 59.6% had moderate, while 3.6% had severe addiction) and a good proportion of the respondents (81.1%) perceived addiction as bad. Internet addiction was significantly associated with the respondent's age (p = 0.043), mother's level of education (p = 0.023), family size (p = 0.021), place of residence (p = 0.035), alcohol intake (p = 0.017), smoking (p = 0.015), substance use (p = 0.001) as well as the duration of internet use (p < 0.001). Internet addiction was predicted by the male gender (adjusted odds ratio (AOR): 2.054; confidence interval (CI): 1.200-3.518), early adolescent age group (10-13 years) (AOR: 0.115; C1: 0.015-0.895) as well as the duration of internet use (AOR: 0.301; CI: 0.189-0.479).

Conclusions

The prevalence of internet addiction among adolescents during the COVID-19 pandemic era was high. The predictors of addiction were the male gender, early adolescent age group and duration of internet use.

Risk of insomnia during COVID-19: effects of depression and brain functional connectivity

Normal sleepers may be at risk for insomnia during COVID-19. Identifying psychological factors and neural markers that predict their insomnia risk, as well as investigating possible courses of insomnia development, could lead to more precise targeted interventions for insomnia during similar public health emergencies. Insomnia severity index of 306 participants before and during COVID-19 were employed to determine the development of insomnia, while pre-COVID-19 psychometric and resting-state fMRI data were used to explore corresponding psychological and neural markers of insomnia development. Normal sleepers as a group reported a significant increase in insomnia symptoms after COVID-19 outbreak (F = 4.618, P = 0.0102, df = 2, 609.9). Depression was found to significantly contribute to worse insomnia (β = 0.066, P = 0.024). Subsequent analysis found that functional connectivity between the precentral gyrus and middle/inferior temporal gyrus mediated the association between pre-COVID-19 depression and insomnia symptoms during COVID-19. Cluster analysis identified that postoutbreak insomnia symptoms followed 3 courses (lessened, slightly worsened, and developed into mild insomnia), and pre-COVID-19 depression symptoms and functional connectivities predicted these courses. Timely identification and treatment of at-risk individuals may help avoid the development of insomnia in the face of future health-care emergencies, such as those arising from COVID-19 variants.

Insomnia symptoms predict longer COVID-19 symptom duration

OBJECTIVE

/Background: The goal of the present study was to assess the prevalence and incidence of insomnia in the United States during the COVID-19 pandemic, and whether, among those that contracted COVID-19, insomnia predicted worse outcomes (e.g., symptoms of greater frequency, duration, or severity).

METHODS

A nationwide sample of 2980 adults living in the United States were surveyed online at two points during the COVID-19 pandemic (T1 = April-June 2020; T2 = January-March 2021). Insomnia symptoms were assessed at both time points using the Insomnia Severity Index (ISI). The T2 survey also asked questions regarding COVID-19 testing and symptoms.

RESULTS

The prevalence of insomnia (defined as ISI ≥15) was 15% at T1 and 13% at T2. The incidence rate of insomnia (i.e., new cases from T1 to T2) was 5.6%. Participants with insomnia were not more likely to contract COVID-19 relative to those participants without insomnia. Among those participants in our sample that contracted the virus during the study interval (n = 149), there were no significant group differences in COVID-19 symptom outcomes, with one exception, participants with insomnia were more likely to report a longer symptom duration (insomnia = 24.8 sick days, no insomnia = 16.1 sick days).

CONCLUSIONS

The present study suggests the prevalence of insomnia in the U.S. population remained high during the COVID-19 pandemic. The data also support that insomnia may be related to experiencing more chronic COVID-19 symptoms. These findings have more general implications for the role of sleep and insomnia on immune functioning.

Prevalence and risk factors of sleep problems in Bangladesh during the COVID-19 pandemic: a systematic review and meta-analysis

The outbreak of the novel coronavirus disease 2019 (COVID-19) has altered people's lives worldwide and fostered the emergence of sleep problems. However, no systematic review and meta-analysis has yet been conducted to rigorously evaluate the impact of COVID-19 on sleep problems from a Bangladeshi perspective. As a result, the current systematic review and meta-analysis aims to fill this knowledge gap, which may lead to a better understanding of the prevalence and risk factors associated with sleep problems. To conduct this systematic review, PRISMA guidelines were followed; a literature search was conducted to include studies published till 5th March 2022 from the inception of COVID-19 pandemic in Bangladesh searching databases such as PubMed, Scopus. A total of eleven studies were included. The JBI checklist was used to assess the methodological quality of included studies. The overall estimated prevalence of sleep problems was 45% (95% CI: 32% to 58%, I² =99.31%). General populations were more affected by sleep problems [52% (95% CI: 36% to 68%, I² =98.92%)] than the healthcare professionals [51% (95% CI: 23% to 79%, I² =97.99%)] (χ² = 137.05, p <0.001). Additionally, results suggested that suffering from sleep problems were higher among female (OR: 1.15; 95% CI: 1.03 to 1.29 compared to men); urban residents (OR: 1.77; 95% CI: 1.55 to 2.02 compared to rural); and anxious person (OR: 5.15; 95% CI: 4.32 to 6.14 compared to non-anxious), whereas single participants less likely to suffer from sleep related problems (OR: 0.81; 95% CI: 0.71 to 0.94). The prevalence rate of sleep problems was high and the general populations was at particularly high risk. Further longitudinal studies are warranted to investigate the trajectories of such sleep problems as a function of pandemic changes.

Potential Therapeutic Approach of Melatonin against Omicron and Some Other Variants of SARS-CoV-2

The Omicron variant (B.529) of COVID-19 caused disease outbreaks worldwide because of its contagious and diverse mutations. To reduce these outbreaks, therapeutic drugs and adjuvant vaccines have been applied for the treatment of the disease. However, these drugs have not shown high efficacy in reducing COVID-19 severity, and even antiviral drugs have not shown to be effective. Researchers thus continue to search for an effective adjuvant therapy with a combination of drugs or vaccines to treat COVID-19 disease. We were motivated to consider melatonin as a defensive agent against SARS-CoV-2 because of its various unique properties. Over 200 scientific publications have shown the significant effects of melatonin in treating diseases, with strong antioxidant, anti-inflammatory, and immunomodulatory effects. Melatonin has a high safety profile, but it needs further clinical trials and experiments for use as a therapeutic agent against the Omicron variant of COVID-19. It might immediately be able to prevent the development of severe symptoms caused by the coronavirus and can reduce the severity of the infection by improving immunity.

General psychiatric symptoms among Bangladeshi people approximately one year after the onset of the COVID-19 pandemic

BACKGROUND

Coronavirus disease-2019 (COVID-19) has had negative physical and mental impacts on people globally. The current study examined general psychiatric symptoms (fear, anxiety, depression, and insomnia) and loneliness, and their interrelationships and correlates among Bangladeshi individuals approximately 1 year after the onset of the COVID-19 outbreak.

METHODS

An internet-based cross-sectional survey was conducted among 1004 Bangladeshi people (51.8% male; mean age: 25.41 ± 7.80; age range: 18-60 years). Data were collected using a semi-structured e-questionnaire including informed consent, socio-demographics, lifestyle measures, and psychometric tools assessing loneliness, anxiety, depression, insomnia, and fear of COVID-19.

RESULTS

Sizeable participants screened positive for loneliness (63.5%), anxiety (26.3%), depression (46.4%), and insomnia (50.7%). Considerable numbers of respondents also reported fear of COVID-19. In hierarchical regression analyses, loneliness, anxiety, depression, insomnia, and fear of COVID-19 were associated with socio-demographic and lifestyle factors. Loneliness, anxiety, depression, insomnia, and fear of COVID-19 were positively correlated with each other (p < 0.001). In exploratory path analyses, anxiety, depression, and insomnia mediated the relationship between loneliness and fear of COVID-19.

CONCLUSIONS

The findings indicate that many people in Bangladesh have experienced psychiatric concerns approximately 1 year after the onset of the COVID-19 outbreak. Investigation into empirically supported interventions and their implementation is needed.

Worries about inadequate medical treatment in case of a COVID-19 infection: the role of social inequalities, COVID-19 prevalence and healthcare infrastructure

Background

This study investigates individual and regional determinants of worries about inadequate medical treatment in case of a COVID-19 infection, an important indicator of mental wellbeing in pandemic times as it potentially affects the compliance with mitigation measures and the willingness to get vaccinated. The analyses shed light on the following questions: Are there social inequalities in worries about inadequate medical treatment in case of a COVID-19 infection? What is the role of the regional spread of COVID-19 infections and regional healthcare capacities?

Methods

Based on data derived from the German Socioeconomic Panel (SOEP), a representative sample of the German population aged 18 years and over, we estimated multilevel logistic regression models with individual-level (level 1) and regional-level (level 2) variables. The regional variables of interest were (a) the number of COVID-19 infections, (b) the number of hospital beds as an overall measure of the regional healthcare capacities, and (c) the number of free intensive care units as a measure of the actual capacities for treating patients with severe courses of COVID-19.

Results

Women, older respondents, persons with migrant background and those with a lower socioeconomic status were more likely to report worries about inadequate medical treatment in case of a COVID-19 infection. Moreover, respondents with chronic illness, lower subjective health and those who consider COVID-19 as a threat for their own health were more likely to report worries. In addition, also regional characteristics were relevant. Worries were more common in poorer regions with higher COVID-19 infections and worse health infrastructure as indicated by the number of hospital beds.

Conclusions

The analysis not only indicates that several social groups are more concerned about inadequate medical treatment in case of a COVID-19 infection, but also highlights the need for considering regional-level influences, such as the spread of the virus, poverty rates and healthcare infrastructure, when analyzing the social and health-related consequences of the pandemic.

The COVID-19 Pandemic and Overall Wellbeing: Mediating Role of Virtual Reality Fitness for Physical-Psychological Health and Physical Activity

Background

Virtual reality applications are made for various objectives such as business, entertainment, education, and healthcare. Anxiety, phobias, distress, disordered eating, drug addiction, panic disorder, post-traumatic stress disorder, schizophrenia, bipolar disorder, psychosis, depression, and autism spectrum disorders may benefit from virtual reality-based approaches. The 2019 coronavirus (COVID-19) pandemic has impacted the way we live, enjoy, study, sport, and socialize significantly. Virtual reality fitness technology gained much attention during the COVID-19 preventive measures time.

Objective

The present study explores the role of virtual reality fitness in improving overall wellbeing during the COVID-19 pandemic home isolation period in terms of physical-psychological health and physical activity.

Methods

A total of 2300 individuals were recruited using the snowball sampling technique to participate in the study. The primary data were collected using an anonymous web-based survey. SPSS-23 and Smart-PLS 3.2.9 software were used to analyze the data.

Results

The direct path coefficient analysis of the study constructs show that virtual reality fitness has (preventive measures -> virtual reality fitness -> overall wellbeing, preventive measures -> virtual reality fitness -> physical exercise, and preventive measures -> virtual reality fitness -> physical health) profound effects on the research participants’ mental and physical wellbeing of the study participants while indirect mediation analysis shows that virtual reality fitness has (preventive measures -> virtual reality fitness ->overall wellbeing, preventive measures -> virtual reality fitness -> physical exercise, preventive measures -> virtual reality fitness ->physical health) significant impacts.

Conclusion

Our study results concluded that house exercises through virtual reality fitness are a good substitute for public gyms and private group fitness programs during the first pandemic wave for physical-psychological and overall wellbeing. Virtual reality fitness technology can alleviate many of the challenges brought on by the epidemic, resulting in increased utilization.

Central Symptoms of Insomnia in Relation to Depression and COVID-19 Anxiety in General Population: A Network Analysis

BACKGROUND

Insomnia is prevalent among the general population, and studies have shown an increase in insomnia symptoms during the novel coronavirus (COVID-19) pandemic. Despite numerous studies of insomnia, few studies have investigated insomnia symptoms in detail. In this study, we used network analysis to investigate interactions between insomnia symptoms in the general population. Furthermore, given the effect of COVID-19 on mental health, we also investigated how anxiety response to COVID-19 and depression related to insomnia symptoms.

METHODS

Data from 785 non-infected participants were used. The Insomnia Severity Index (ISI), Stress and Anxiety to Viral Epidemics-6 Scale (SAVE-6), and Patient Health Questionnaire-9 (PHQ-9) were used to measure insomnia symptoms, anxiety response to COVID-19, and depression, respectively. Network analysis was performed using R Studio. Centrality indices and edge weights were obtained, and each index was evaluated using bootstrapping methods.

RESULTS

The network revealed ISI7 (worry about current sleep pattern) to be the most central insomnia symptom. ISI7 was strongly connected to SAVE-6 total score, and ISI2 (difficulty staying asleep) was strongly connected to PHQ-9 total score.

CONCLUSION

High centrality of ISI7 supports the role of dysfunctional cognitions in etiological models of insomnia and thus the cognitive behavioral therapy for insomnia. The relationship between ISI7 and SAVE-6 is explained by transposition of worry and fear of contracting COVID-19 to worry about sleep patterns. The link between ISI2 and PHQ-9 necessitate further investigations of whether specific symptoms of insomnia are more associated with depression.

Prevalence, characteristics, and psychological outcomes of workplace cyberbullying during the COVID-19 pandemic in Japan: a cross-sectional online survey

Background

The rapid introduction of teleworking due to the coronavirus disease 2019 pandemic has led to concerns about increases in cyberbullying (CB) worldwide. However, little is known about workplace CB in non-Western countries. The first objective was to clarify the prevalence and characteristics regarding workplace CB victimization in Japan. The second objective was to demonstrate the psychological outcomes of CB victimization in combination with traditional bullying (TB).

Methods

We conducted an anonymous, cross-sectional, Internet-based survey targeting regular employees in Japan (N = 1200) in January 2021. We investigated CB victimization using the Inventory of Cyberbullying Acts at Work and TB victimization by using the Short Negative Act Questionnaire. Possible explanatory factors for TB/CB victimization were sociodemographic variables, personality trait, chronic occupational stress, organizational climate, and gratitude at work. We also measured psychological distress, insomnia, and loneliness to assess adverse effects of workplace bullying. Two-step cluster analysis was used in determining the patterns combined with TB and CB victimization. Hierarchical binomial logistic regression analysis was used.

Results

In total, 8.0% of employees reported experiencing CB on a weekly basis. CB victimization was associated with younger age, managerial position, higher qualitative workload, and active information dissemination via the Internet, and frequency of teleworking. Three clusters based on TB and CB victimization patterns were identified: those who belong to the first cluster suffered neither from TB and CB (81.0%), the second cluster suffered only from TB (14.3%), and the third cluster suffered from both TB and CB (4.8%). The third cluster exhibited higher odds ratios (ORs) and 95% confidence intervals (CIs) for psychological distress (OR = 12.63, 95% CI = 4.20–38.03), insomnia (OR = 6.26, 95% CI = 2.80–14.01), and loneliness (OR = 3.24, 95% CI = 1.74–6.04) compared to the first cluster.

Conclusions

These findings firstly clarify the prevalence and correlated factors of CB victimization among employees in Japan. Further, we showed that psychological wellbeing can be impaired by the coexistence of TB and CB. Our research could be the first step to develop the effective countermeasures against workplace CB.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13481-6.

The Effect of Parent Phubbing on Chinese Adolescents’ Smartphone Addiction During COVID-19 Pandemic: Testing a Moderated Mediation Model

Purpose

COVID-19 has affected the health and well-being of tens of millions of people and contributed to smartphone addiction. The prior studies found several characteristics that influenced smartphone addiction, but little research was undertaken on the epidemic. This study aims to test a moderated mediation model of smartphone addiction.

Methods

Three classes in each grade from grade 7 through grade 9 at random were recruited in the target junior high schools. A total of 931 Chinese adolescents (M_age=13.54 years, SD_age =1.08) completed valid questionnaires via online surveys from February 5–19, 2021.

Results

Parent phubbing had a positive effect on smartphone addiction. Boredom proneness played a mediating role in this relationship. Additionally, refusal self-efficacy moderated the effect of parent phubbing on smartphone addiction. Refusal self-efficacy moderated the effect of boredom proneness on smartphone addiction.

Conclusion

Findings of this study shed light on a correlation between parent phubbing and smartphone addiction. Moreover, this study emphasizes the value of intervening in adolescents’ boredom proneness and increasing the ability of refusal self-efficacy to prevent and intervene in the context of COVID-19.

The Severity of Depression, Anxiety, and Stress: Recommendations From Joint Work of Research Center and Psychology Clinics in COVID-19 Pandemic

The COVID-19 pandemic has significantly affected the psychological stability of general population of Pakistan. However, research on the severity of COVID-19 induced depression, anxiety, and stress (DAS) in Pakistan is scarce. This paper thereby investigates the severity of COVID-19 induced DAS based on demographic, socioeconomic, and personal feeling variables by modeling DAS. Snowball sampling strategy was adopted to conduct online survey from July 03, 2021 to July 09, 2021. Out of 2,442, 2,069 responses from Karachi were included. Descriptive and inferential statistics (binary and multinomial logistic regression analysis) were performed using SPSS V21 (IBM, 2013) to identify significant determinants and their association with DAS severity. The result of this study indicates 27.8, 21.7, and 18.3% respondents suffer from severe and extremely severe states of depression, anxiety, and stress, respectively. Binary logistic regression revealed that age is a significant determinant with odds of having 4.72 (95% CI = 1.86-11.97) and 5.86 (95% CI = 2.26-15.2) times greater depression, and stress for respondents aged 19-26 years. Moreover, gender-based difference is also observed with females 1.34 (95% CI = 1.08-1.68) and 1.75 (95% CI = 1.40-2.20) times more likely to exhibit anxiety and stress than males. Furthermore, marital status is a significant determinant of depression with odds of having depression is 0.67 (95% CI = 0.48-0.93) times greater for married population. Multinomial logistic regression revealed that those who believe COVID-19 pandemic has affected them mentally, fear new COVID-19 cases and deaths, depressed due to imposition of lockdown, believe they will not survive COVID-19 infection, and spend more time on social media gathering COVID-19 updates suffer from extremely severe state of depression (OR mental-effect-of-pandemic = 3.70, OR new-COVID-19-cases-and-deaths = 2.20, OR imposition-of-lockdown = 17.77, OR survival-probability = 8.17, OR time-on-social-media = 9.01), anxiety (OR mental-effect-of-pandemic = 4.78, OR new-COVID-19-cases-and-deaths = 3.52, OR imposition-of-lockdown = 5.06, OR survival-probability = 8.86, OR time-on-social-media = 5.12) and stress (OR mental-effect-of-pandemic = 6.07, OR imposition-of-lockdown = 11.38, OR survival-probability = 15.66, OR time-on-social-media = 4.39). Information regarding DAS severity will serve as a platform for research centers and psychological clinics, to work collectively and provide technology-based treatment to reduce the burden on the limited number of psychologist and psychotherapist.

Exploring factors in fear of COVID-19 and its GIS-based nationwide distribution: the case of Bangladesh

BACKGROUND

The COVID-19 pandemic is a public health threat of international concern, intensifying peoples' psychological risk and vulnerability by strengthening mental health stressors such as fear, panic and uncertainty. The unexpected fear of COVID-19 has been reported to be associated with suicide occurrences, similar to prior pandemics.

AIMS

Identifying the factors associated with fear of COVID-19 could help us to develop better mental health strategy and practice to improve the situation here in Bangladesh. This was the first attempt to present a Geographic Information System (GIS)-based distribution of fear of COVID-19 across the country's administrative districts in a nationwide sample.

METHOD

Data for a total of 10 067 individuals were collected by an online survey during the first wave of the pandemic (1 to 10 April 2020); data for 10 052 participants were finally analysed after excluding 15 transgender individuals. The survey questionnaire included items concerning sociodemographic, behavioural and health-related variables, COVID-19-related issues, and the Bangla Fear of COVID-19 Scale.

RESULTS

The mean fear of COVID-19 scores was 21.30 ± 6.01 (out of a possible 35) in the present sample. Female gender, highly educated, non-smoker, non-alcohol consumer, having chronic diseases, using social media, and using social media and not using newspapers as COVID-19 information sources were associated with a higher level of fear of COVID-19. Higher levels of fear of COVID-19 were found in districts of Magura, Panchagarh, Tangail, Sunamganj and Munshiganj; by contrast, Kushtia, Pirojpur, Chapainawabganj, Jhalokathi and Naogaon districts had lower fear of COVID-19. Based on the GIS-distribution, fear of COVID-19 was significantly associated with the district as well as in respect to its gender-based and education-level-based associations. However, fear of COVID-19 and COVID-19 cases were heterogeneously distributed across the districts; that is, no consistent association of higher COVID-19 cases with higher fear of COVID-19 was found.

CONCLUSIONS

This study being exploratory in nature may help to facilitate further studies, as well as directing governmental initiatives for reducing fear of COVID-19 in at-risk individuals. Providing adequate resources and mental health services in the administrative regions identified as highly vulnerable to fear of COVID-19 is recommended.

Insomnia in Bangladeshi Young Adults During the COVID-19 Pandemic: The Role of Behavioral Factors, COVID-19 Risk and Fear, and Mental Health Issues

BACKGROUND

Given the importance of sleep, several studies were conducted during the first wave of the COVID-19 pandemic in Bangladesh, but no study was conducted during the second wave. Thus, this study assessed the prevalence rate, associated factors, and predictive models of insomnia during the second wave of the COVID-19 pandemic.

METHODS

An online-based cross-sectional survey was conducted during the second wave of the pandemic (within April 1-13, 2021) and collected information on sociodemographic, behavior and health, COVID-19 risk, fear of COVID-19, depression, anxiety, suicidality, and insomnia. A total of 756 data from Bangladeshi young adults (22.24 ± 4.39 years) were finally analyzed.

RESULTS

About 13% of the participants (n = 98 out of a total of 756) had the symptoms of insomnia. Insomnia had a significant gender difference, where females were more prone to be insomniac. Besides, middle class, urban residence, smoking status, not engaging in physical exercise, poor health status, and multi-comorbidities were also profoundly associated with insomnia. In addition, fear of COVID-19, COVID-19 risk, and mental health problems (i.e., depression, anxiety, and suicidality) showed a significant relationship in terms of insomnia. A total of 31.2% variance predicting insomnia was identified considering all of the studied variables.

CONCLUSIONS

The prevalence of insomnia reported herein seems relatively lower than the prior studies, but this figure is not neglectable. Thus, the identified associated factors are highly suggested to consider in policy actions with a special focus on mental health problems to elevate the risk of sleep problems.

Mental Disorders of Bangladeshi Students During the COVID-19 Pandemic: A Systematic Review

Background

The unprecedented COVID-19 pandemic has become a global burden disrupting peoples’ quality of life. Students being an important cohort of a country, their mental health during this pandemic has been recognized as a concerning issue. Therefore, the prevalence and associated risk factors of Bangladeshi students’ mental health sufferings (ie, depression, anxiety, and stress) are systematically reviewed herein for the first time.

Methods

Adhering to the PRISMA guideline, a systematic search was performed from 1 to 5 April, 2021 in several databases including PubMed; and finally, a total of 7 articles were included to this review.

Results

The prevalence rates of mild to severe symptoms of depression, anxiety, and stress ranged from 46.92% to 82.4%, 26.6% to 96.82%, and 28.5% to 70.1%, respectively. The risk factors concerning mental health problems included the factors related to (i) socio-demographic (younger age, gender, lower educational grade, urban residence, family size, currently living with family/parents, and having children in the family), (ii) behavior and health (smoking status, lack of physical exercise, more internet browsing time, and dissatisfaction with sleep), (iii) COVID-19 pandemic- (COVID-19 related symptoms, COVID-19 related perceptions, and fear of COVID-19 infection), (iv) miscellaneous (losing part-time teaching job, lack of study concentration, agitation, fear of getting assaulted or humiliated on the way to the hospital or home, financial problems, academic dissatisfaction, inadequate food supply, higher exposure to COVID-19 social and mass media, engaging with more recreational activities, and performing more household chores).

Conclusion

The overall assumption of mental disorders’ prevalence rates can be regarded as problematic to this cohort. Thus, the authorities should consider setting up possible strategies to diminish the pandemic effect on students’ mental health.

Fear of COVID 19 Infection Across Different Cohorts: A Scoping Review

Background: Psychological stressors like panic, fear, phobia, etc., are being substantially reported during the COVID-19 outbreak. In the prior outbreaks, fear of being infected was reported as the prominent suicide stressor. Therefore, fear of infection has become a concern in the context of the COVID-19 pandemic because it worsens emotion, cognition, and behavioral responses. Understanding the extent of fear of COVID-19 infection in various cohorts would aid in gauging the mental health services, which was a remedy in the present review. Methods: Adhering to Arksey and O'Malley's framework for conducting a scoping review, a systematic search was performed in the month of September 2020 in several databases, including Scopus, PubMed, Web of Science, etc. Considering the inclusion criteria, a total of 14 articles were included in the present review. Results: All of the included studies were conducted via online platforms, whereas all but one of the studies were cross-sectional in nature (including a mixed-method study, and a comparative study). Most of the studies were conducted among the general population (n = 12), within March and May 2020 (n = 9), from Asian countries (n = 7), and considered a self-developed item for fear of COVID-19 assessment (n = 8; whereas the Fear of COVID-19 Scale was used in 6-studies). The prevalence of fear of COVID-19 was reported to be 18.1-45.2%, although no cutoff point or criteria was mentioned for such a prevalence estimation of the Fear of COVID-19 Scale. However, females, younger adults, urban residents, divorcees, healthcare workers, those in quarantine settings, those in suspicion of being infected, and those with mental health problems, etc., were found to be at an increased risk of COVID-19 fear. Conclusions: Being one of the first reviews in this context, the findings are anticipated to be helpful to predict the possible solutions for reducing fear of COVID-19 and facilitate further studies on strategies of how to alleviate such a stressful situation.