Literature DB >> 34104010

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

Firoj Al Mamun1,2, Ismail Hosen1,2, Jannatul Mawa Misti1,3, Mark Mohan Kaggwa4, Mohammed A Mamun1,2.   

Abstract

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.
© 2021 al Mamun et al.

Entities:  

Keywords:  COVID-19 and psychological impact; anxiety; depression; pandemic in Bangladesh; prevalence and risk factors; stress; student mental health in Bangladesh; systematic review

Year:  2021        PMID: 34104010      PMCID: PMC8180282          DOI: 10.2147/PRBM.S315961

Source DB:  PubMed          Journal:  Psychol Res Behav Manag        ISSN: 1179-1578


Introduction

At the end of December 2019, the COVID-19 was originated from Wuhan province, China. After a short period, it has spread out globally, turning itself to be the most challenging disaster after the World War II.1 Consequently, peoples’ normal life has been reported disrupting as of its devastating effects. Therefore, on 11 March 2020, the World Health Organization declared this outbreak to be a pandemic due to its unprecedented and rampant behaviors.2,3 However, there has been 651,652 COVID-19 cases (including 9384 deaths) identified in Bangladesh, as of 7 April 2021. To mitigate this viral outbreak transmission in the community levels, a number of public health measures such as (i) imposing countrywide lockdown, (ii) shutting down educational institutions, (iii) isolating the infected cases, (iv) quarantining the suspected cases, (v) confining social and community movements, etc., were executed throughout the entire world.4–6 These measures are expectedly effective to suppress its transmission. For instance, 44% and 31% incident and death rates were identified for the communities with quarantine measures, whereas it was 96% and 76% for the non-quarantine communities.7 Evidently, incident and death rates decrease after imposing these preventive measures. Although these measures have importance to suppress the outbreak, subsequent mental health impacts are not escaped, which evaluates mental health instabilities by accumulating psychological stressors like experiencing fear and panic, feeling frustrated and bored, facing a paucity of basic supplies, lacking authentic and reliable information, overwhelming with stigma, losing from jobs, and facing financial recession, etc.,8–11 and these devastating issues are alleged for subsequent suicide occurrences in globally including Bangladesh.12–17 For instance, a systematic review18 reported high rates of mental health outcomes (ie, up to 50.9% anxiety, 48.3% depression, 53.8% post-traumatic stress disorder, 38% psychological distress, and 81.9% stress were found) among the general population globally, as consistent with other literatures concerned with either multi-centered cross-sectional studies,19,20 or systematic reviews.6,21 However, on 8 March 2020, the first case of COVID-19 was confirmed in Bangladesh.22 Being a country of limited resources in the healthcare setting, the authorities imposed a countrywide lockdown to lessen its infection.22,23 During the COVID-19 pandemic, however, students’ psychological health becomes a concern of interest as all the educational institutions were closed down, and their social circle, communication, and interaction processes were also changed.24 Also, online schooling, the newly introduced method of teaching can be unfavorable for a higher number of students as of difficulties related to understanding materials, technical issues, lack of interest in attending classes, limited access to online schooling materials, and so forth.24–26 Evidently, the severity of lack of willingness in online schooling led to suicide occurrences in Bangladesh. That is, an undergraduate student refused to partake online exam, that turned into conflicts within their family, as a result, the mother and son's suicide pact occurred.27 Thus, it is apparent that some of students are facing the pandemic-related obstacles such as social and economic disruptions, uncertainty about their future careers, loneliness, fear of losing loved ones, etc.28,29 Considering the Bangladeshi students’ vulnerabilities toward psychological stressors related to the current COVID-19 pandemic, several studies were conducted assessing their mental health. But, for generalization of the factors influencing mental health problems of this cohort, there is nothing but a review. To the authors’ best of knowledge, no attempt to review the Bangladeshi students’ mental health was made. Therefore, a systematic review was conducted herein for the first-time, considering the prevalence and risk factors of the Bangladeshi students’ common mental disorders (depression, anxiety, and stress), which is anticipated to help take appropriate mental health strategies in the policy levels.

Methods

Search Strategy

For conducting a systematic review, Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline30 was adhered to the present study. Thus, a systematic literature search was performed in PubMed from 1 to April 5, 2021. Within this time, additional searches were carried out on the databases such as Scopus, PsycINFO, Global Health, Web of Science, CINAHL, even Google Scholar, and ResearchGate for retrieving articles and preprints that were not indexed in PubMed. The utilizing search strategy included keywords: (depression OR anxiety OR stress OR mental health OR psychological health OR psychological impact); AND (COVID-19 OR pandemic); AND (Bangladeshi student).

Study Selection Criteria

First of all, each publication was screened based on “Titles and Abstract”. Then, the full-text article was evaluated for confirming if the article to be added or not. The articles were included in this review after adhering to the inclusion criteria, including (i) being a Bangladeshi study concerned about student cohorts, (ii) being a cross-sectional study, (iii) being conducted after the pandemic initiation, (iv) utilizing established scales/tools for measurement, (v) reporting prevalence and/or risk factors of mental disorders (depression, anxiety, stress), (vi) being published in a peer-reviewed journal or preprint, and (vii) being published in the English language.

Data Eligibility

A total of 107 articles were retrieved from several databases, whereas 103 article exists after removing the duplicate ones. Then, “Titles and Abstracts” of each articles were screened, where 92 articles were eliminated. A total of 11 full-text articles were assessed for eligibility. Finally, 7 studies were survived in the process after adhering to the inclusion criteria. Full-text articles (n=4) were excluded if they were (i) review article, (ii) qualitative study (iii) mixed-method study (that is, both qualitative or quantitative) (Figure 1).
Figure 1

PRISMA flow-chart of the present systematic review.

Note: Adapted from Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Int J Surg. 2010;8(5):336–341. doi:10.1016/j.ijsu.2010.02.007.30

PRISMA flow-chart of the present systematic review. Note: Adapted from Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Int J Surg. 2010;8(5):336–341. doi:10.1016/j.ijsu.2010.02.007.30

Data Extraction

In Microsoft Excel, a data extraction file was created to recruit the information from the included studies. Data were extracted utilizing the following criteria (i) first author and publication year, (ii) specific group and sample size, (iii) sampling procedure, (iv) sample characteristics, (v) assessment tool, (vi) cutoff score, (vii) prevalence rate, (viii) associated risk factors, and (ix) prevalence assessment criteria.

Results

Description of the Included Studies

A total of 7 cross-sectional online survey-based studies were included in this review after adhering to the inclusion criteria.31–37 All of the studies were conducted between April and May 2020. The number of participants ranged from 425 to 15,543; whereas only 3 studies reported participant mean age. The DASS-21 and GAD-7 were the most frequently used scale for detecting the mental disorder(s) (n=3), while other scales including PHQ-9, HADS, and CESD-R-10 were also utilized. Three studies reported the prevalence rate of depression, anxiety, and stress and its associated factors while the rest of the studies reported either depression and anxiety or only anxiety (Table 1).
Table 1

Characteristics of the Included Literatures to the Present Review

First Author and Publication YearSpecific Group; Sample Size (n)Sampling ProcedureSample CharacteristicsAssessment ToolCutoff Score(s)Prevalence Rate(s)Associated Risk FactorsPrevalence Assessment Criteria
Sayeed et al (2020)31Students; 589SnowballNRDASS-21A ≥7, D ≥10, S ≥11A: 26.6%D: 61.9%S: 57.05%A: Gender, age, education, family income, residence, family size, negative COVID-19 perceptions, and COVID-19 related symptoms and social stressorsD: Gender, age, education, family income, residence, family size, under 5 children in family, and negative COVID-19 perceptionsS: Gender, age, under 5 children in family, negative COVID-19 perceptions, and COVID-19 related symptoms and social stressorsMild to extremely severe
Islam et al (2020)36University students; 476SnowballNRGAD-7 and PHQ-9A ≥5, D ≥5A: 81.8%D: 82.4%D and A: Private tuition during COVID-19, lagging academically, living with familyMild to extremely severe
Safa et al (2021)32Medical students; 425Convenience and snowballAge group: 18 to 28 years; Mean age: 22 ± 1.81 yHADSBoth A and D >8A: 65.9%D: 49.9%A: Fear of getting infected, fear of getting assaulted or humiliated on the way to hospital or home, lack of concentration on study, agitation.D: Gender, fear of getting infected with COVID-19, agitation.Mild to severe
Khan et al (2020)37College and University students; 505ConvenienceNRDASS-21NRA: 33.3%D: 46.92%S: 28.5%A: Cough, fatigue, fever, throat pain, difficulty breathing, financial uncertainty, fear of infection, inadequate food supply, exposure to COVID-19 news in social media and mass media.D: Fatigue, difficulty breathing, Recreational activity (eg, watching TV series, reading story books, online and offline gaming etc.), physical exercise, household chores, financial uncertainty, inadequate food supply, exposure to COVID-19 news in social and mass mediaS: Perceived COVID-19 symptoms (ie, dry cough, fever, difficulty breathing), Recreational activity (eg, watching TV series, reading story books, online and offline gaming etc.), financial uncertainty, exposure to COVID-19 news in social media and mass mediaMild to extremely severe
Faisal et al (2021)33University students; 874SnowballAge group: 17 to 38 years; Mean age: 22.83± 2.79 yGAD-7 and CESD-R-10A ≥10, D ≥10A: 40%D:72%A and D: Worrying about the effects of COVID-19A: Moderate to severeD: NR
Islam et al (2020)34University students; 3122ConvenienceAge group: 18 to 29 years; Mean age: 21.4 ± 2 yDASS-21A ≥ 8, D ≥10, S ≥15A: 71.5%D:76.1%S: 70.1%D, A, and S: Gender, age, having ≥5 family members, residence, physical exercise, sleep dissatisfaction, more internet time, academic dissatisfaction due to the COVID-19 circumstances, and smoking statusAt least mild symptoms
Dhar et al (2020).35University students; 15,543NRNRGAD-7NRA: 96.82%Gender, residence, living with their parents, financial condition, being infected with COVID‐19 among relatives or friendsMild to severe

Abbreviations: A, anxiety; D, depression; S, stress; NR, not reported; PHQ, Patient Health Questionnaire; GAD, Generalized Anxiety Disorder; HADS, Hospital Anxiety and Depression Scale; DASS-21, Depression, Anxiety, Stress Scale 21; CESD-R-10, Center for Epidemiologic Studies Depression Scale Revised.

Characteristics of the Included Literatures to the Present Review Abbreviations: A, anxiety; D, depression; S, stress; NR, not reported; PHQ, Patient Health Questionnaire; GAD, Generalized Anxiety Disorder; HADS, Hospital Anxiety and Depression Scale; DASS-21, Depression, Anxiety, Stress Scale 21; CESD-R-10, Center for Epidemiologic Studies Depression Scale Revised.

The Prevalence Rate of Mental Disorders

The prevalence of depression, anxiety, and stress showed fluctuation across the included studies. All but one study considered the cutoff of point for at least the presence of mild symptoms, which seems the comparison of the prevalence rates across the included studies to be more reliable. However, details about the prevalence rate of mental disorders are discussed below.

Depression

A total of 6 studies reported the prevalence of depression, ranging from 46.92% to 82.4% among both college and university students,37 and university students,36 respectively. However, studies considering the university students found the rate to be within 72% to 82.4%,33,34,36 whereas 49.9% was reported for medical students.32 Also, a 61.9% prevalence rate of depression was identified in a study, although detail about the student status was not mentioned in that study.31

Anxiety

The prevalence of anxiety was determined in all of the included articles, ranging from 26.6% to 96.82%. Within the university students, the anxiety rate was noted to be 40% to 96.82%;33–36 where the lowest prevalence rate (40%) was detected by moderate to a severe cutoff scheme, which leads to a reasonably lower anxiety rate to that rate compared to other studies’.33 However, 65.9% of medical students reported being anxious,32 whereas it was 33.3% for both college and university students.37

Stress

The prevalence of stress was reported in three studies utilizing the same instrument (that is, DASS-21), and found its range within 28.5% to 70.1%. Khan et al37 reported the lowest stress prevalence rate among the college and university students, whereas university students were identified as dominantly stressed. The rest of the study within the students (no specific information regarding the student status was mentioned), found 57.05% of the participants to be suffering from stress.31

Risk Factors Associated with Mental Disorders

Risk factors of mental disorders are divided into four categories – (i) socio-demographic factors, (ii) behavior and health-related factors, and (iii) COVID-19 related factors, and (iv) other factors. However, details about the mental health risk factors are discussed below.

Socio-Demographic Risk Factors

Age

Two studies predicted age as a significant risk factor for psychological suffering.31,34 Sayeed et al31 found that less than or equal 22 years (vs more than 22 years) old students were at 4.49-, 4.46- and 3 times higher risk of depression, anxiety, and stress, respectively. Whereas, 18 to 24 years old students were observed to be prone to these disorders than those who had reported being aged 25 to 29 years.34

Gender

The relationship between gender and mental disorders was significant in a total of 4 studies, where all but one study found females to be at higher risk.31,32,34,35 For instance, females were at 3.44-, 3.44- and 4.54- times higher risk of depression, anxiety, and stress, respectively,31 which is similar to other studies.32,34 But, the unusual finding, that is, male students were found to be more anxious in a study compromised with a total of 15,543 university students.35

Family Monthly Income

Lower family income was significantly associated with increasing the risk of mental health disorders.31 The only study reported that students with a family income of less than or equal to 2,7000 BDT [Bangladeshi Taka (currency)] were at 2.62- and 2.56- times higher risk of suffering from depressive and anxiety symptoms, respectively, than more than 2,7000 BDT.31

Education

The levels of education were predicted as a significant risk factor for mental disorders.31 The only study depicted that students of secondary education status were at 11.03- and 11.15-fold risk of anxiety and depression, respectively, than graduate and higher ones.31

Residence

A significant mental health effect was observed by the students’ place of residence.31,34,35 A study depicted that students residing in urban areas were 3.22- and 3.22- times the high risk of depression and anxiety compared to the rural areas’ ones.31 Besides this, other studies reported people living in urban areas were more vulnerable to psychological problems.34,35

Family Size

The number of family members was found as a significant risk factor for mental health disorders. Sayeed et al reported that students who had a family size less than or equal to 4 were at 1.89- and 1.91-times high risk of anxiety and depressive symptoms than family size greater than 4.31 Adversely, another study found that having more than or equal to five family members compared to less than four family members were more prone to mental disorders.34

Number of Children in the Family

The number of children in the family was identified as a risk factor for mental health problems.31 More detailly, the study found students from these families with children under 5 years were at 2.32 times higher risk of developing depressive symptoms.31

Living with Family or Parents

Living with family or parents was also found to increase the risk of psychological suffering.36 Participants who reported currently living with their family were at 2.6- and 1.8- times higher risk of depression and anxiety, respectively,36 whereas did not live with parents increased the rate of anxiety.35

Behavior and Health-Related Risk Factors

Smoking Status

The habit of smoking was reported as a significant factor for evaluating mental health problems.34 Islam et al34 found that these students who were engaged in smoking were more prone to psychological sufferings compared to those who were not.

Physical Exercise

The role of physical exercise on mental health was found as a significant predictor.34,37 Based on two studies, students who reported not engaging in physical exercise were at higher risk of mental disorders.34,37

Internet Use Time

Internet browsing time was found as a predictive factor of psychological disorders in only a study.34 The study reported that students reporting internet browsing for 5 to 6 hours, and more than 6 hours compared to less than 2 hours were at increased risk of psychological problems.34

Satisfaction with Sleep

Having sleep difficulties could also influence the higher risk of mental health problems. A study claimed34 that students reporting dissatisfaction with their sleep experienced higher psychological sufferings compared to those who were satisfied.

COVID-19 Related Risk Factors

COVID-19 Related Perceptions

The perceptions about the negative impact of the COVID-19 pandemic were reported as the influential factors of psychological suffering. These perceptions included that (i) normal life disrupted by the COVID-19 pandemic, (ii) negatively affecting themselves by the COVID-19 pandemic, (iii) the country’s healthcare system would be overrun and people would not be able to get proper medical care, (iv) the trajectory of COVID-19 suspicion, (v) its negative impact on education like lagging academically,31,36 (vi) worrying about the effects of COVID-19.33

Fear of COVID-19 Infection

Fear of getting infected by the COVID-19 was found as a significant predictor of depression, anxiety, and stress in a couple of studies,31,32,37 whereas relatives or friends being infected with the COVID-19 had also increased the level of anxiety.35 Safa et al32 reported that students severely tensed of being contacted with the COVID-19 infected individuals were at 3.5- and 2.75-times higher risk of being anxious and depressed, respectively, than the students who had no or minimal contract. Similarly, contact with the confirmed COVID-19 cases was reported to be at 4- and 3.17-times higher risk of getting stressed and anxious, respectively.31

COVID-19 Related Symptoms

Mental health sufferings were also increased when students reported experiencing the COVID-19 related symptoms. For example, Sayeed et al31 reported that experiencing one and more symptoms, and at least one symptom increased the risk of stress by 1.60 and 3.06 times; whereas it was 3.02 and 4.96 times, respectively, for anxiety. Also, another study found having the symptoms of fever, dry cough, fatigue, sore throat, difficulty breathing as the influential factors of mental disorders.37

Other Risk Factors

Some other factors also reported increasing the risk of psychological sufferings. Such as (i) losing part-time teaching job (that is, serving as a tutor),36 (ii) reporting lack of concentration on the study,32 (iii) being agitated more easily,32 (iv) fear of getting assaulted or humiliated on the way to the hospital or home,32 (v) worsening their financial condition,35,37 (vi) being dissatisfied with academic studies,34 (vi) having an inadequate food supply,37 (viii) being more exposed to the COVID-19 news in social media and mass media,37 (ix) being more active in recreational activities (ie, watching TV series, reading storybooks, online and offline gaming, etc.), (x) engaging in household chores,37 etc.

Discussion

During the pandemic, several public health measures were already implemented in Bangladesh, which is being alleged for aggravating the risk of mental instabilities. Besides this, the online learning process, the alternative way of running educational activities after the inception of the pandemic, reportedly plays a significant role in exacerbating psychological sufferings.24–26 Online schooling turns to issues related to lack of concentration on the study, agitation, dissatisfaction with academic studies, which are reported for intensifying psychological burdens.32,34 Therefore, student cohorts are allegedly at risk of mental health sufferings because of lockdown-related issues. The present review is the first systematic approach considering students’ mental health problems during the COVID-19 pandemic in Bangladesh, which is anticipated to be helpful for the mental health authorities. However, students are found at immense risk of psychological suffering, that is, the prevalence rate of depression, anxiety, and stress ranges from 46.92% to 82.4%, 26.6% to 96.82%, and 28.5% to 70.1%, respectively. These prevalence rates across studies may vary because of utilizing different tools, and cutoff scores of the same instrument.38 Besides this, pandemic-related issues such as COVID-19 infection rate of the participants’ area, history of the COVID-19 infection, financial difficulties, etc., may increase the probability of higher mental health suffering.32,37,39–42 These issues are not identified across the included studies, which limits the generalizability of the findings. Despite these limitations of the included studies, the estimated prevalence rates of mental disorders are supposed to be helpful in representing the cautious situation rather than reflecting as factual findings. Based on the present findings, mental disorders’ risk factors related to basic socio-demographics included younger age, gender, lower family monthly income, lower grade education status, urban residence, family size, living with family/parents, and having children in the family. Also, behavior and health-related mental health risk factors included being smokers, lack of physical exercise, reporting more internet use time, and dissatisfaction with sleeping status. The COVID-19 pandemic related negative perceptions and social stressors, COVID-19 related symptoms, fear of COVID-19 infection, fear of getting assaulted or humiliated on the way to hospital or home acted as the triggers to escalate mental sufferings. Study found that COVID-19 patients were at higher risk of psychological suffering than psychiatric patients and healthy control individuals.43 Finally, other risk factors included losing the part-time teaching job, lacking concentration on the study, agitation, fear of getting assaulted or humiliated on the way to hospital or home, financial problems, having dissatisfaction with academic studies, having an inadequate food supply, being more exposed to COVID-19 related news, engaging with more recreational activities (ie, watching TV series, reading storybooks, online and offline gaming, etc.), performing more household chores, etc. Being a resource limited country, Bangladesh has lack of capability to combat the current awful situation.22,44 Therefore, involving medical students in the health sector might be effective to fight against the COVID-19 pandemic in both hospital settings and community levels.45 Focus on mental wellbeing activities during the pandemic is not possibly started actioning to the country as expected. But, it has become urgent for the health authorities to initiate appropriate measures concerning the psychological sufferings of this cohort, where the present review might have some potential implications. First of all, based on the present findings (eg, mental health problem risk factors), special attention should be provided to the risky individuals considering their vulnerability towards serious psychological disorders. Also, the mental health or educational institutes’ authorities are suggested to arrange frequent webinars on mental health wellbeing to motivate and facilitate students taking care of their mental health problems. These webinars should also be concerned with the de-stigmatization of mental health issues. Besides, the government should provide beneficial funds considering the financial conditions of the respective students’ families, which might be able to reduce the student’s mental sufferings if they are needy. An individual effort like avoiding smoking, taking part in regular physical exercise (at least daily 30 minutes running, cycling, gym, and so on), browsing less internet, and sleeping adequately might decrease the psychological impacts on students. In addition, the most evidence-based treatment is cognitive behavior therapy (CBT), especially internet-based CBT that can be helpful for mental health interventions during the pandemic.46,47 Finally, the authority should command on the media/news channel not to spread misinformation, because social media exposure also triggered the mental state of the students.

Conclusions

Psychological sufferings of the Bangladeshi students during the pandemic are reported reasonably high. The present review provides an initial overview of depression, anxiety and stress prevalence rates and associated risk factors among Bangladeshi students during the COVID-19 pandemic. Thus, this systematic approach might be a strength for the policymakers of the country to take necessary steps considering the findings reported herein.
  43 in total

1.  COVID-19 and suicides in India: A pilot study of reports in the media and scientific literature.

Authors:  Mahima Panigrahi; Jigyansa Ipsita Pattnaik; Susanta Kumar Padhy; Vikas Menon; Suravi Patra; Kumari Rina; Subhransu Sekhar Padhy; Binod Patro
Journal:  Asian J Psychiatr       Date:  2021-01-13

2.  Mental health outcomes during the COVID-19 and perceptions towards the pandemic: Findings from a cross sectional study among Bangladeshi students.

Authors:  Abu Sayeed; Satyajit Kundu; Md Hasan Al Banna; M Tasdik Hasan; Musammet Rasheda Begum; Md Shafiqul Islam Khan
Journal:  Child Youth Serv Rev       Date:  2020-11-09

3.  Psychological responses during the COVID-19 outbreak among university students in Bangladesh.

Authors:  Md Saiful Islam; Md Safaet Hossain Sujan; Rafia Tasnim; Md Tajuddin Sikder; Marc N Potenza; Jim van Os
Journal:  PLoS One       Date:  2020-12-31       Impact factor: 3.240

4.  A chain mediation model on COVID-19 symptoms and mental health outcomes in Americans, Asians and Europeans.

Authors:  Cuiyan Wang; Agata Chudzicka-Czupała; Michael L Tee; María Inmaculada López Núñez; Connor Tripp; Mohammad A Fardin; Hina A Habib; Bach X Tran; Katarzyna Adamus; Joseph Anlacan; Marta E Aparicio García; Damian Grabowski; Shahzad Hussain; Men T Hoang; Mateusz Hetnał; Xuan T Le; Wenfang Ma; Hai Q Pham; Patrick Wincy C Reyes; Mahmoud Shirazi; Yilin Tan; Cherica A Tee; Linkang Xu; Ziqi Xu; Giang T Vu; Danqing Zhou; Natalie A Chan; Vipat Kuruchittham; Roger S McIntyre; Cyrus S H Ho; Roger Ho; Samuel F Sears
Journal:  Sci Rep       Date:  2021-03-19       Impact factor: 4.379

5.  Psychometric Validation of the Bangla Fear of COVID-19 Scale: Confirmatory Factor Analysis and Rasch Analysis.

Authors:  Najmuj Sakib; A K M Israfil Bhuiyan; Sahadat Hossain; Firoj Al Mamun; Ismail Hosen; Abu Hasnat Abdullah; Md Abedin Sarker; Mohammad Sarif Mohiuddin; Istihak Rayhan; Moazzem Hossain; Md Tajuddin Sikder; David Gozal; Mohammad Muhit; S M Shariful Islam; Mark D Griffiths; Amir H Pakpour; Mohammed A Mamun
Journal:  Int J Ment Health Addict       Date:  2020-05-11       Impact factor: 11.555

6.  Psychological impact of COVID-19 pandemic in the Philippines.

Authors:  Michael L Tee; Cherica A Tee; Joseph P Anlacan; Katrina Joy G Aligam; Patrick Wincy C Reyes; Vipat Kuruchittham; Roger C Ho
Journal:  J Affect Disord       Date:  2020-08-24       Impact factor: 4.839

Review 7.  Mobilizing medical students for COVID-19 responses: Experience of Vietnam.

Authors:  Bach Xuan Tran; Long Hoang Vo; Hai Thanh Phan; Hai Quang Pham; Giang Thu Vu; Huong Thi Le; Carl A Latkin; Cyrus Sh Ho; Roger Cm Ho
Journal:  J Glob Health       Date:  2020-12       Impact factor: 4.413

8.  Depression and anxiety among university students during the COVID-19 pandemic in Bangladesh: A web-based cross-sectional survey.

Authors:  Md Akhtarul Islam; Sutapa Dey Barna; Hasin Raihan; Md Nafiul Alam Khan; Md Tanvir Hossain
Journal:  PLoS One       Date:  2020-08-26       Impact factor: 3.240

9.  Impact of COVID-19 pandemic on mental health in the general population: A systematic review.

Authors:  Jiaqi Xiong; Orly Lipsitz; Flora Nasri; Leanna M W Lui; Hartej Gill; Lee Phan; David Chen-Li; Michelle Iacobucci; Roger Ho; Amna Majeed; Roger S McIntyre
Journal:  J Affect Disord       Date:  2020-08-08       Impact factor: 4.839

10.  The impact of COVID-19 pandemic on mental health & wellbeing among home-quarantined Bangladeshi students: A cross-sectional pilot study.

Authors:  Abid Hasan Khan; Mst Sadia Sultana; Sahadat Hossain; M Tasdik Hasan; Helal Uddin Ahmed; Md Tajuddin Sikder
Journal:  J Affect Disord       Date:  2020-08-07       Impact factor: 4.839

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  28 in total

1.  Suicidality in Bangladeshi Young Adults During the COVID-19 Pandemic: The Role of Behavioral Factors, COVID-19 Risk and Fear, and Mental Health Problems.

Authors:  Mohammed A Mamun; Firoj Al Mamun; Ismail Hosen; Mahmudul Hasan; Abidur Rahman; Ahsanul Mahbub Jubayar; Zeba Maliha; Abu Hasnat Abdullah; Md Abedin Sarker; Humayun Kabir; Avijit Sarker Jyoti; Mark Mohan Kaggwa; Md Tajuddin Sikder
Journal:  Risk Manag Healthc Policy       Date:  2021-09-29

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

Authors:  Xiang Peng; Rashid Menhas; Jianhui Dai; Muhammad Younas
Journal:  Psychol Res Behav Manag       Date:  2022-07-13

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

Authors:  Hira Shahid; Muhammad Abul Hasan; Osama Ejaz; Hashim Raza Khan; Muhammad Idrees; Mishal Ashraf; Sobia Aftab; Saad Ahmed Qazi
Journal:  Front Psychiatry       Date:  2022-06-20       Impact factor: 5.435

4.  Prevalence of depression in Uganda: A systematic review and meta-analysis.

Authors:  Mark Mohan Kaggwa; Sarah Maria Najjuka; Felix Bongomin; Mohammed A Mamun; Mark D Griffiths
Journal:  PLoS One       Date:  2022-10-20       Impact factor: 3.752

5.  Examining anxiety and stress regarding virtual learning in colleges of health sciences: A cross-sectional study in the era of the COVID-19 pandemic in Saudi Arabia.

Authors:  Tahani Alshammari; Sarah Alseraye; Rawabi Alqasim; Aleksandra Rogowska; Nouf Alrasheed; Musaad Alshammari
Journal:  Saudi Pharm J       Date:  2022-01-25       Impact factor: 4.562

Review 6.  Yoga and meditation, an essential tool to alleviate stress and enhance immunity to emerging infections: A perspective on the effect of COVID-19 pandemic on students.

Authors:  Nibedita Dalpati; Subhashree Jena; Shikha Jain; Pranita P Sarangi
Journal:  Brain Behav Immun Health       Date:  2022-01-19

Review 7.  Prevalence and risk factors of the symptoms of depression, anxiety, and stress during the COVID-19 pandemic in Bangladesh: a systematic review and meta-analysis.

Authors:  Ismail Hosen; Firoj Al-Mamun; Mohammed A Mamun
Journal:  Glob Ment Health (Camb)       Date:  2021-12-29

8.  The impact of sleep, physical activity and sedentary behaviour on symptoms of depression and anxiety before and during the COVID-19 pandemic in a sample of South African participants.

Authors:  R Lewis; L C Roden; K Scheuermaier; F X Gomez-Olive; D E Rae; S Iacovides; A Bentley; J P Davy; C J Christie; S Zschernack; J Roche; G Lipinska
Journal:  Sci Rep       Date:  2021-12-15       Impact factor: 4.379

9.  How Has the COVID-19 Pandemic Impacted Internet Use Behaviors and Facilitated Problematic Internet Use? A Bangladeshi Study.

Authors:  Israt Jahan; Ismail Hosen; Firoj Al Mamun; Mark Mohan Kaggwa; Mark D Griffiths; Mohammed A Mamun
Journal:  Psychol Res Behav Manag       Date:  2021-07-26

10.  Impacts of COVID-19 on the Education, Life and Mental Health of Students in Bangladesh.

Authors:  Fahmida Liza Piya; Sumaiya Amin; Anik Das; Muhammad Ashad Kabir
Journal:  Int J Environ Res Public Health       Date:  2022-01-11       Impact factor: 3.390

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