Prevalence of depression, anxiety and associated factors among school going adolescents in Bangladesh: Findings from a cross-sectional study

Investigating war trauma, its effects, and associated risk factors on anxiety among high school students in Woldia town, northeast Ethiopia, 2022

Background

Anxiety symptoms are the most frequent mental health problems in the world, and it is a serious public health concern, especially among adolescents, because if left untreated, adolescent anxiety can have a number of detrimental effects, including lower academic performance, strained relationships with friends and family, substance addiction, thoughts of suicide and homicide, and trouble finding work. While this vulnerability is concerning in all situations, it is particularly critical in armed conflict areas. Ethiopia is one of the most recent war-affected countries, but to the best of our knowledge, limited studies focused on adolescents in this context. Therefore, this study assessed the experience of war trauma and its effects on anxiety symptoms among high school students in Woldia town, Ethiopia.

Objective

We assessed the experience of war trauma and its effects on anxiety among high school students, as well as associated risk factors, in war-affected areas in Woldia town, northeast Ethiopia.

Methods

A cross-sectional study design was conducted from May 23 to June 08 2022. Data were collected from high school students in Woldia town. Bivariable and multivariable logistic regression analyses were used to identify independent factors associated with anxiety.

Results

A total of 624 out of 660 students participated in the study (94.5% response rate). The prevalence of anxiety among high school students in Woldia town was 39.7%. In the multivariable analysis, having depression (AOR = 9.24, 95% CI: 6.27, 13.64), witnessing the murder of family/friends (AOR = 1.93, 95% CI: 1.05, 3.57), being of female sex (AOR=1.59, 95% CI: 1.08, 2.36), and having a family history of mental illness (AOR=1.69, 95% CI: 1.00, 2.85) were factors significantly associated with anxiety.

Conclusions and recommendations

The prevalence of anxiety in this study was approximately two in five high school students. Therefore, we recommend that the Ministry of Education collaborate with the Ministry of Health to expand and implement mental health services in high schools to promote the wellbeing of students for the prevention of anxiety.

Understanding the impacts of COVID-19 pandemic on mental health and well-being among university students in Dhaka, Bangladesh: A nested mixed-methods study

Background

University students are more at risk of mental illness compared with the general population. Declaration of a global COVID-19 pandemic led the Bangladesh government in March 2020 to implement a national lockdown, home quarantining, social distancing measures, and closure of educational institutions. We aimed to explore the impact of lockdown on the mental health and well-being of university students in Bangladesh.

Methods

A nested mixed-methods survey design was undertaken using a semi structured questionnaire and in-depth interviews conducted by telephone of 73 university students (mean age of 22 years, range 18 to 26-years-old) attending public and private academic institutions in Dhaka. A questionnaire was developed de-novo and pre-tested. Qualitative, open-ended questions were used to understand experiences regarding students' mental health and well-being, their perceptions of COVID-19, and coping strategies.

Results

Fifty nine percent of students reported that lockdown had a significant impact on their mental health and well-being. They described difficulties with social isolation and loneliness, motivation, and interpersonal conflict within families. Students' knowledge of COVID-19 were high with television, newspapers, online, and social media were main sources of information; few relied on government reports. Most pressing concerns were timely graduation and employment (83%), not being able to socialize (46%), being stuck at home (37%), and financial difficulties regarding university fees (29%). Additional underlying stressors included financial insecurity of respondents' households and parental health. Coping strategies included watching television or films, online meetings with friends, social media, as well interactions with family.

Conclusion

As a result of Bangladesh's first national lockdown, university students experienced negative effects on their mental health and well-being. There is an urgent need for greater proactive measures within educational settings, such as mental health literacy programmes and diagnosis management that could mitigate and prevent adverse impacts of future lockdowns.

Unhealthy behaviors associated with mental health disorders: a systematic comparative review of diet quality, sedentary behavior, and cannabis and tobacco use

Background

There are well-established literatures documenting the associations between mental disorders and unhealthy behaviors such as poor diet quality, sedentary behavior, and cannabis and tobacco use. Few studies have attempted to understand the respective findings in light of each other, however.

Objective

The purpose of this review was to assemble comparable data for each behavior-disorder association and assess the associations in terms of their overall strength. The review aimed to include a representative, but not exhaustive, range of studies that would allow for explorative comparisons.

Methods

Eligible studies were identified via Pubmed searches and citation searching, restricted to publications no older than 2015 written in English. To obtain comparable data, only studies that reported findings as odds ratios were included, and risk of bias related to study samples, behavioral measurement disparities, and control variables was assessed via sensitivity analyses. Findings for each disorder were compared on the basis of different measures of central tendency.

Results

From 3,682 records, 294 studies were included. The review found evidence of associations between each of the four unhealthy behaviors and psychosis, depression, anxiety, bipolar disorder, attention-deficit/hyperactivity disorder (ADHD), and post-traumatic stress disorder (PTSD), while personality disorder was only investigated in relation to cannabis and tobacco use. In overall comparison, the associations were generally of similar strength, and only the association between cannabis use and personality disorder was exceptional in terms of being significantly stronger than its counterparts across disorders and across behaviors. Analyses of bias risk identified some influence from behavioral measurement disparities and lack of adequate statistical control, but findings were generally robust across a range of sensitivity analyses.

Conclusion

This explorative and comparative review found that poor diet quality, sedentary behavior, and cannabis and tobacco use are about equally strongly associated with a range of different mental disorders. Given the general nature of these associations, we should probably understand them to reflect a general and shared etiology. However, the findings in this review should be regarded as tentative until confirmed by more comprehensive investigations.

Association of dietary behaviour and depression among adolescents in Malaysia: a cross-sectional study

BACKGROUND

Depression is on the rise and has become a significant concern for public health. Limited research has explored the connection between dietary patterns and depression. This investigation aimed to examine how dietary behaviours relate to depression among adolescents attending school in Malaysia.

METHODS

The study utilized data from the National School-Based Health Survey 2022, a nationwide survey involving school-going adolescents aged 13-17, with a total of 33,523 participants from 239 schools. To assess depression, the study employed the Patient Health Questionnaire (PHQ-9), considering a score of 10 or higher as indicative of depression. Dietary behaviours were assessed using a validated self-administered questionnaire adapted from the World Health Organization's Global School-based Student Health Survey. Descriptive analysis and complex sample logistic regression were carried out using SPSS version 26.0.

RESULTS

The study revealed a 26.9% overall prevalence of depression, with higher risks among female adolescents (AOR 2.71, 95% CI 2.51, 2.92) and those in higher grades. Malays (AOR 1.71, 95% CI 1.41, 2.07), Other Bumiputeras (AOR 1.69, 95% CI 1.32, 2.17), and Others (AOR 1.63, 95% CI 1.16, 2.30) had elevated odds of depression compared to Indians. Healthy dietary habits, like consuming less than two servings of fruits daily, correlated with depression (AOR 1.44 95% CI 1.35, 1.54). Additionally, unhealthy dietary behaviours such as fast food consumption (AOR 1.73 [95% CI 1.55, 1.93]) and carbonated soft drink intake (AOR 1.59 [95% CI 1.48, 1.70]) were positively associated with depression.

CONCLUSIONS

One out of every four Malaysian adolescents was identified to experience depression. Depression was linked to several factors, such as being female, belonging to higher grade levels, identifying as Malays, Other Bumiputeras, or belonging to other ethnicities, and participating in the consumption of fast food, carbonated soft drinks, and fruits. To address these observations, it is crucial to formulate effective public health programmes that prioritize adolescent mental health and encourage the adoption of healthy eating habits.

Impact of mobile connectivity on students' wellbeing: Detecting learners' depression using machine learning algorithms

Depression is a psychological state of mind that often influences a person in an unfavorable manner. While it can occur in people of all ages, students are especially vulnerable to it throughout their academic careers. Beginning in 2020, the COVID-19 epidemic caused major problems in people's lives by driving them into quarantine and forcing them to be connected continually with mobile devices, such that mobile connectivity became the new norm during the pandemic and beyond. This situation is further accelerated for students as universities move towards a blended learning mode. In these circumstances, monitoring student mental health in terms of mobile and Internet connectivity is crucial for their wellbeing. This study focuses on students attending an International University of Bangladesh to investigate their mental health due to their continual use of mobile devices (e.g., smartphones, tablets, laptops etc.). A cross-sectional survey method was employed to collect data from 444 participants. Following the exploratory data analysis, eight machine learning (ML) algorithms were used to develop an automated normal-to-extreme severe depression identification and classification system. When the automated detection was incorporated with feature selection such as Chi-square test and Recursive Feature Elimination (RFE), about 3 to 5% increase in accuracy was observed by the method. Similarly, a 5 to 15% increase in accuracy has been observed when a feature extraction method such as Principal Component Analysis (PCA) was performed. Also, the SparsePCA feature extraction technique in combination with the CatBoost classifier showed the best results in terms of accuracy, F1-score, and ROC-AUC. The data analysis revealed no sign of depression in about 44% of the total participants. About 25% of students showed mild-to-moderate and 31% of students showed severe-to-extreme signs of depression. The results suggest that ML models, incorporating a proper feature engineering method can serve adequately in multi-stage depression detection among the students. This model might be utilized in other disciplines for detecting early signs of depression among people.

Factors affecting depression among married adults: a gender-based household cross-sectional study

BACKGROUND

Depression is a common mental health problem all over the world including Bangladesh. World Health Organization included it in the Mental Health Gap Action Programme as one of its priority conditions. Research on this issue is scanty in Bangladesh. Therefore, we designed to a gender-based household study on associated factors of depression among married adults in Rajshahi City of Bangladesh.

METHODS

We conducted this household cross-sectional study from August 01 to October 31, 2019. A total of 708 married adults currently living together in Rajshahi City were recruited for this study. We applied a multi-stage random sampling technique for selecting samples and used a semi-structured questionnaire to collect necessary information from them. The Patient Health Questionnaire-9 was used for measuring depression and frequency distribution and binary logistic regression model were used for data analysis.

RESULTS

The prevalence of depression (moderate to severe) was 14.4% (95% CI: 11.9-16.9) among married adults, and females (21.2%, 95% CI: 17.2-25.4) suffered more than males (7.6%, 95% CI: 4.8-10.5). A multiple binary logistic regression model established four main factors of depression among married females: (i) multiple marriage [AOR = 19.982; 95% CI: 10.081-39.610; p < 0.01]; (ii) poor relationship with spouse [AOR = 2.175; 95%CI: 1.068-4.428; p < 0.05]; (iii) chronic medical comorbidity [AOR = 1.876; 95%CI: 1.009-2.626; p < 0.05]; and (iv) 7-12 years duration of conjugal life [AOR = 2.091, 1.009-4.334; p < 0.05]. Two main factors of depression among married males were (i) multiple marriage [AOR = 24.605; 95% CI: 20.228-40.402; p < 0.01] and hard work [AOR = 4.358; 95%CI: 1.109-7.132; p < 0.05].

CONCLUSION

The prevalence of depression was significantly high among the study population, and females were the most vulnerable group. The concerned authorities and stakeholders should take appropriate measures to manage the problem with special focus on the risk factors and the vulnerable groups.

Depressive symptoms and anxiety among women with a history of abortion living in urban slums of Bangladesh

BACKGROUND

Globally, major emphasis has been placed on understanding the physiological consequences of losing a pregnancy. However, its mental health impact on socially disadvantaged women remains unexplored. To further inform the field the present study investigated the prevalence and factors associated with the development of depressive symptoms and anxiety among women with a history of spontaneous abortion living in the urban slums of Dhaka, Bangladesh.

METHODS

Information was obtained from 240 women who experienced a spontaneous abortion from July 2020 to December 2021. It was obtained through the urban health and demographic surveillance system (UHDSS) survey. Generalized Anxiety Disorder (GAD-7) and Patient Health Questionnaire (PHQ-9) were used to measure mental health symptoms. Bivariate and multivariate linear regression analyses were performed to assess the associated factors with the mental health outcomes.

RESULTS

Of the 240 women, majority (77.50%) of the women experienced mild to severe depressive symptoms and more than half (58.75%) of the respondants experienced mild to severe anxiety, within one and half years of experiencing spontaneous abortion. A higher level of education and being employed were protective factors for anxiety and depressive symptoms, respectively. However, women with higher sexual and reproductive health rights (SRHR) knowledge had significantly increased anxiety and depressive symptoms. In contrast, receiving post-abortion care (PAC) was associated with decreased anxiety and depressive symptoms.

CONCLUSION

The findings indicate that ensuring access to affordable PAC services and integrating mental health services into the standard PAC service package is crucial. This study also emphasizes the importance of providing education for women living in urban slums and encouraging them to participate in economic activities.

Psychosocial health of school-going adolescents during the COVID-19 pandemic: Findings from a nationwide survey in Bangladesh

BACKGROUND

Common psychosocial health problems (PHPs) have become more prevalent among adolescents globally during the COVID-19 pandemic. However, the psychosocial health of school-going adolescents has remained unexplored in Bangladesh due to limited research during the pandemic. The present study aimed to estimate the prevalence of PHPs (i.e., depression and anxiety) and assess associated lifestyle and behavioral factors among school-going adolescents in Bangladesh during the COVID-19 pandemic.

METHODS

A nationwide cross-sectional survey was conducted among 3,571 school-going adolescents (male: 57.4%, mean age: 14.9±1.8 years; age range: 10-19 years) covering all divisions, including 63 districts in Bangladesh. A semi-structured e-questionnaire, including informed consent and questions related to socio-demographics, lifestyle, academics, pandemic and PHPs, was used to collect data between May and July 2021.

RESULTS

The prevalence of moderate to severe depression and anxiety were 37.3% and 21.7%, respectively, ranging from 24.7% in the Sylhet Division to 47.5% in the Rajshahi Division for depression, and from 13.4% in the Sylhet Division to 30.3% in the Rajshahi Division for anxiety. Depression and anxiety were associated with older age, reports of poor teacher cooperation in online classes, worries due to academic delays, parental comparison of academic performance with other classmates, difficulties coping with quarantine situations, changes in eating habits, weight gain, physical inactivity and having experienced cyberbullying. Moreover, being female was associated with higher odds of depression.

CONCLUSIONS

Adolescent psychosocial problems represent a public health problem. The findings suggest a need for generating improved empirically supported school-based psychosocial support programs involving parents and teachers to ensure the well-being of adolescents in Bangladesh. School-based prevention of psychosocial problems that promote environmental and policy changes related to lifestyle practices and active living should be developed, tested, and implemented.

The mental health of adolescents following the COVID-19 pandemic in Bangladesh

This paper highlights the current situation of the COVID-19 pandemic and adolescents' mental health in Bangladesh. It contains a thorough literature review that summarizes relevant articles and newspapers on the mental health of adolescents. In Bangladesh, the COVID-19 pandemic is worsening adolescent mental health issues. To maintain the safety and security of adolescents mental health issues are becoming increasingly frequent in Bangladesh as a result of lockdowns, financial stress, and livelihood scarcity; this trend cannot be ignored. This study will aid policymakers, government officials, and non-government officials in the development of more effective social safety net measures.

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.

Differences in risk indicators associated with electronic cigarette use and tobacco smoking among adolescents and young people in Nigeria

Introduction

The study determined the proportion of adolescents and young persons (AYP) in Nigeria who use e-cigarettes and smoke tobacco; and identified factors associated with the use of e-cigarettes and tobacco smoking.

Methods

AYP aged 11–23 years were recruited to participate in an online survey. The independent variables were respondents’ health, HIV and COVID-19 status and their level of anxiety. The dependent variables were tobacco smoking and use of e-cigarettes. Binary logistic regression was used to determine the associations between the dependent and independent variables after adjusting for confounders (age, sex, educational level and vulnerability status).

Results

There were 2206 respondents of which 568 (19.8%) used e-cigarettes and 787 (27.4%) smoked tobacco. Individual (18–23 years, having a health condition, high anxiety and being vulnerable) and familial (having father, mother, siblings or friends who used e-cigarettes) factors were associated with both the use of e-cigarettes and tobacco smoking. Tobacco smoking was a significant risk indicator for e-cigarettes use and vice versa. COVID-19 infection (adjusted OR, AOR: 3.602) and living with HIV (AOR: 1.898) were associated with higher odds of using e-cigarettes. Males (AOR: 1.577), 15–17 years (AOR: 6.621) and moderate anxiety (AOR: 2.500) were associated with higher odds of tobacco smoking. AYP with health conditions had higher odds of using e-cigarettes (AOR: 1.514) while AYP with moderate anxiety had lower odds of using e-cigarettes (AOR: 0.627).

Conclusion

The proportion of AYP in Nigeria who used e-cigarettes and smoked tobacco is high. Public health interventions that target the common risk factors for e-cigarettes use and tobacco smoking among AYP in Nigeria are urgently needed.

Cigarettes' use and capabilities-opportunities-motivation-for-behavior model: a multi-country survey of adolescents and young adults

The use of cigarettes among adolescents and young adults (AYA) is an important issue. This study assessed the association between regular and electronic-cigarettes use among AYA and factors of the Capability-Motivation-Opportunity-for-Behavior-change (COM-B) model. A multi-country survey was conducted between August-2020 and January-2021, Data was collected using the Global-Youth-Tobacco-Survey and Generalized-Anxiety-Disorder-7-item-scale. Multi-level logistic-regression-models were used. Use of regular and electronic-cigarettes were dependent variables. The explanatory variables were capability-factors (COVID-19 status, general anxiety), motivation-factors (attitude score) and opportunity-factors (country-level affordability scores, tobacco promotion-bans, and smoke free-zones) controlling for age and sex. Responses of 6,989-participants from 25-countries were used. Those who reported that they were infected with COVID-19 had significantly higher odds of electronic-cigarettes use (AOR = 1.81, P = 0.02). Normal or mild levels of general anxiety and negative attitudes toward smoking were associated with significantly lower odds of using regular-cigarettes (AOR = 0.34, 0.52, and 0.75, P < 0.001) and electronic-cigarettes (AOR = 0.28, 0.45, and 0.78, P < 0.001). Higher affordability-score was associated with lower odds of using electronic-cigarettes (AOR = 0.90, P = 0.004). Country-level-smoking-control policies and regulations need to focus on reducing cigarette affordability. Capability, motivation and opportunity factors of the COM-B model were associated with using regular or electronic cigarettes.

Validity and reliability of the Patient Health Questionnaire scale (PHQ-9) among university students of Bangladesh

This study investigated the reliability and factorial validity of Patient Health Questionnaire-9 (PHQ-9) in the context of university students in Bangladesh. The research aimed to assess whether the original one-dimensional model or a model containing both somatic and cognitive-emotional factors is appropriate in the case of a sample of university students. A repeated cross-sectional survey design based on convenience sampling was used to collect data from 677 university students from both public and private universities. The factor structure of the PHQ-9 was assessed using confirmatory factor analysis (CFA). Measurement invariances were assessed across gender, type of university, level of education and victim of domestic violence. Its convergent validity was determined by investigating its correlations with Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire Anxiety-Depression Scale (PHQ-ADS). Results showed excellent reliability of PHQ-9 as measured by both Cronbach's α and McDonald's ω. CFA suggested that a modified one-factor model where the error variances between item-3 ('sleeping difficulties') and item-6 ('feeling as a failure'), item-6 and item-9 ('suicidal thoughts'), item-4 ('feeling tired') and item-9, item-3 and item-9 were allowed to covary is appropriate for the sample. This model provided high values of comparative fit index (CFI), goodness of fit index (GFI), and Tucker Lewis Index (TLI), low value of standardized root mean square residual (SRMR) and a non-significant root mean square error of approximation (RMSEA) as well as a high Factor Determinacy Score Coefficient. Correlation between PHQ-9 and GAD-7 was 0.751 and 0.934 between PHQ-9 and PHQ-ADS. Finally, the model is strictly invariant across gender and university type. Overall, the study provided support for modified unidimensional structure for PHQ-9 and showed high internal consistency along with good convergent validity.

The psychometric properties of the Bangla Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5): preliminary reports from a large-scale validation study

BACKGROUND

The Posttraumatic Stress Disorder Checklist (PCL-5) is the most widely used screening tool in assessing posttraumatic stress disorder symptoms, based on the Diagnostic and Statistical Manual of Mental disorders (DSM-5) criteria. This study aimed to evaluate the psychometric properties of the newly translated Bangla PCL-5.

METHODS

A cross-sectional survey was carried out among 10,605 individuals (61.0% male; mean age: 23.6 ± 5.5 [13-71 years]) during May and June 2020, several months after the onset of the COVID-19 outbreak in Bangladesh. The survey included the Bangla PCL-5 and the PHQ-9 depression scale. We used confirmatory factor analysis to test the four-factor DSM-5 model, the six-factor Anhedonia model, and the seven-factor hybrid model.

RESULTS

The Bangla PCL-5 displayed adequate internal consistency (Cronbach's alpha = 0.90). The Bangla PCL-5 score was significantly correlated with scores of the PHQ-9 depression scale, confirming strong convergent validity. Confirmatory factor analyses indicated the models had a good fit to the data, including the four-factor DSM-5 model, the six-factor Anhedonia model, and the seven-factor hybrid model. Overall, the seven-factor hybrid model exhibited the best fit to the data.

CONCLUSIONS

The Bangla PCL-5 appears to be a valid and reliable psychometric screening tool that may be employed in the prospective evaluation of posttraumatic stress disorder in Bangladesh.

Prevalence of depression and anxiety among school-going adolescents in Indian Kashmir valley during COVID-19 pandemic

Background

The coronavirus disease 2019 pandemic has led to severe disruption in routine activities, significant mortality and morbidity. Adolescents are particularly prone to mental health issues. The present study aims to estimate prevalence of depression and anxiety and its determinants among school-going adolescents in Kashmir valley of India.

Results

The Patient Health Questionnaire for Adolescents and Generalised Anxiety Disorder questionnaire were used to screen for depression and anxiety among school-going adolescents aged between 15 and 19 years during January and February 2021. Out of the 439 adolescents who had responded, 426 (97.03%) were included in final analysis. The adolescents had a mean age of 17.5 + 1.26 years and comprised of 57% males. The overall prevalence of depression was 16% and was associated with a past history of COVID-19 infection. Anxiety was present in 20% of adolescents. The prevalence was 14% for boys and 27.5% for girls. On logistic regression, anxiety was associated with female gender, past history of personal COVID-19 infection, history of COVID-19 diagnosis in family and hospital admission due to COVID-19 in family.

Conclusions

Anxiety and depression are major public health problems among adolescents. The high burden estimated in our study highlights the need for immediate action to support adolescents particularly those with a self/family history of COVID-19.

Anxiety among urban, semi-urban and rural school adolescents in Dhaka, Bangladesh: Investigating prevalence and associated factors

Background

Anxiety disorder is one of the emerging public health problems in many low- and middle-income countries (LMICs). Likewise, in Bangladesh, a growing number of adolescents are experiencing such symptoms though we have very limited research evidence available. The purpose of this study was to investigate the prevalence of anxiety and the factors associated with this condition among urban, semi-urban, and rural school adolescents in Bangladesh.

Methods

This cross-sectional study used a two-stage cluster sampling procedure. A self-administered questionnaire was conveyed to 2355 adolescents from nine secondary schools of Dhaka, Bangladesh. Of the respondents, 2313 completed the seven-item Generalized Anxiety Disorder (GAD-7). Besides, sociodemographic information, self-reported body image as well as modification of Leisure Time Exercise Questionnaire (LTEQ) and WHO Global PA Questionnaire (GPAQ) were used to determine the sociodemographic and lifestyle factors associated with anxiety among adolescents.

Results

A total of 20.1% of adolescents were experiencing moderate to severe anxiety; of them, a significantly higher proportion (49.9%) of female adolescents were suffering more than males (40.1%). Furthermore, age, student’s grade, father’s educational level, number of family members, and residential setting were found to be significantly associated with anxiety among adolescents. In terms of lifestyle factors, irregular physical activity (AOR: 1.31; 95% CI: 1.05–1.63), high screen time (AOR: 1.51; 95% CI:1.21–1.88), sleep dissatisfaction (AOR: 3.79; 95% CI: 3.02–4.76), and underweight body image (AOR: 2.37; 95% CI:1.70–3.28) were found to be significantly associated with anxiety among school adolescents of urban, semi-urban, and rural residential settings.

Conclusions

Anxiety is prevalent among urban, semi-urban, and rural school adolescents in Dhaka, Bangladesh. To lessen this prevalence of anxiety among Bangladeshi adolescents, evidence-based health programs- healthy school trials—and policies should therefore be taken based on the findings of this study.

Mental Health Concerns, Insomnia, and Loneliness Among Intern Doctors Amidst the COVID-19 Pandemic: Evidence from a Large Tertiary Care Hospital in Bangladesh

Precisely how intern doctors (or trainee physicians) have been impacted during the COVID-19 pandemic is currently poorly understood. The present study aimed to investigate the mental health consequences (i.e., depression, anxiety, and stress), insomnia, and loneliness among intern doctors in Bangladesh amidst the pandemic. A cross-sectional offline survey of 108 intern doctors (53.7 % female; mean age = 24.80 ± 1.08; age range = 23-29 years) in a large tertiary care hospital in Bangladesh was conducted. The participants were surveyed randomly from respective wards during their duties with an anonymous and self-reported questionnaire assessing socio-demographics, COVID-19-related consideration, mental health, insomnia, loneliness, and other measures. Hierarchical regression analyses were conducted to examine relationships. The prevalence estimates of mild to extremely severe depression, anxiety, and stress were 53.7 %, 63.9 %, and 38.9 %, respectively. Sub-threshold to severe insomnia was acknowledged by 53.7 % and loneliness by 43.5 %. Depression was associated with not receiving mental health counseling during the pandemic, anxiety, stress, and loneliness; anxiety was associated with depression and stress; stress was associated with depression, anxiety, and loneliness; insomnia was associated with being married; and loneliness was associated with poorer quality of life, depression, and stress. Depression, but not anxiety and insomnia, fully mediated the relationship between loneliness and regret regarding choice of profession because of the pandemic and its many unexpected experiences. The findings showed considerable mental health concerns, insomnia, and loneliness among intern doctors in Bangladesh during the COVID-19 pandemic. Future studies should further explore the role of mental health concerns in healthcare providers and perceptions of their profession during the pandemic, and examine interventions to help this vulnerable population.

Financial and Mental Health Concerns of Impoverished Urban-Dwelling Bangladeshi People During COVID-19

Background: The COVID-19 pandemic has impacted the physical, mental and financial health of many individuals. Individuals living in impoverished crowded settings may be particularly vulnerable to COVID-19-related stressors. How substantially marginalized groups like impoverished urban-dwelling individuals have been impacted during this pandemic is poorly understood. The present study aimed to investigate the associated factors of financial concerns and symptoms of depression and posttraumatic stress disorder (PTSD) during the COVID-19 pandemic among impoverished urban-dwelling individuals residing in Dhaka, Bangladesh. Methods: A cross-sectional survey was conducted between August and September 2020 using face-to-face interviews in six disadvantaged neighborhoods ("slums") in Dhaka. Individuals were interviewed using a semi-structured questionnaire consisting of questions assessing socio-demographics, lifestyle, financial well-being relating to the COVID-19 pandemic, depression, and PTSD. Results: Four-hundred-and-thirty-five individuals (male = 54.7%; mean age = 45.0 ± 12.0 years; age range = 18-85 years) participated. Most (96.3%) reported that their household income decreased due to the COVID-19 pandemic. Factors associated with decreased household incomes included female gender, primary education, joblessness, food scarcity and depression. Depression symptoms were linked to female gender, joblessness, divorce, living in a joint family, excessive sleep and smoking. Low incomes, excessive sleep, joblessness and food scarcity were positively associated with PTSD symptoms. In contrast, less sleep appeared protective against PTSD. Conclusions: Public health initiatives, in particular mental health services that target stress and biocentric approaches that consider how humans interact with multiple facets of nature, should be introduced to mitigate against potential financial and psychological effects of the pandemic on impoverished urban-dwelling individuals in Bangladesh.

Prevalence and correlates of anxiety and depression in frontline healthcare workers treating people with COVID-19 in Bangladesh

BACKGROUND

Healthcare workers (HCWs) who are in the frontline during the COVID-19 pandemic are often under significant pressures that may predispose them to symptoms of poor mental health. This study aimed to investigate the prevalence of anxiety and depression among HCWs and factors correlated with mental health concerns during the COVID-19 pandemic in Bangladesh. And, it also aimed to evaluate the psychometric properties of the Bangla version of the Hospital Anxiety and Depression Scale (HADS).

METHODS

A cross-sectional survey was conducted between July and August, 2020. A self-reported online questionnaire was utilized to collect data. The survey included questions concerning socio-demographic, lifestyle, and work setting, as well as the HADS. A confirmatory factor analysis (CFA) and multiple linear regression analysis were performed.

RESULTS

Data from 803 HCWs (50.7% male; mean age: 27.3 [SD = 6.9]; age range: 18-58 years) were included in the final analysis. The Bangla HADS was psychometrically sound, and demonstrated good internal consistency and reliability (α = 0.83), and excellent construct validity. Prevalence estimates of anxiety and depression were 69.5%, and 39.5%, respectively, for less severe symptomology (at least borderline abnormal), and 41.2% and 15.7% for more severe (at least abnormal) symptomology. Regression analyses with the total HADS score as a dependent variable revealed significant (p < 0.05) associations with female gender, moderate and poor health status, infrequent physical exercising, smoking, having had regrets about one's profession because of the pandemic and associated experiences, not updating on the latest COVID-19-related research, experiencing discrimination in the workplace, and facing social problems due to working in a lab or hospital during the COVID-19 pandemic.

CONCLUSIONS

Symptoms of anxiety and depression are prevalent among HCWs during the COVID-19 pandemic in Bangladesh. The findings suggest a need for screening for mental health concerns, and employing early intervention to help these individuals.

Psychological states of Bangladeshi people and associated factors during the outbreak of COVID-19: A cross-sectional survey

COVID-19 is imposing an extremely serious challenge to individuals' physical and mental health. The enforcement of lockdown, restriction on public gathering, social distancing strategy, and unprecedented quarantine measures has affected many aspects of peoples' lives in Bangladesh with potential consequences on their mental and physical health. This study aimed to assess the psychological states and their related factors among general people in Bangladesh during the COVID-19 outbreak. An e-questionnaire-based cross-sectional survey was conducted among 565 Bangladeshi general people between April and May, 2020. Measures included socio-demographics, chronic disease-related variables, the Self-Rating Depression Scale (SDS), and the Self-Rating Anxiety Scale (SAS). Descriptive analysis and bivariate linear regression with "depression" and "anxiety" as the dependent variables were carried out to identify the factors associated with these. Results showed that 30.1% and 32.6% of participants had mild to extremely severe levels of anxiety and depression, respectively. Females were 2.3 (OR = 2.26; 95% CI = 1.58-3.25, p < 0.001) and 2.2 (OR = 2.19; 95% CI = 1.51-3.16, p < 0.001) times more likely to have depression and anxiety, respectively compared to males. In contrast, the odds of depression and anxiety were 2.9 (OR = 2.85; 95% CI = 1.66-4.90, p < 0.001) and 2.0 (OR = 2.00; 95% CI = 1.20-3.36, p = 0.008) times higher, respectively among individuals aged above 40 years than those aged between 18-40 years. The healthcare authority should take necessary steps considering the psychological problems of the general people during the health emergency.