Assessing the psychological condition among general people of Bangladesh during COVID-19 pandemic

Flood impact on men's mental health: evidence from flood-prone areas of Bangladesh

Disasters can pose significant risks to mental health, often resulting in both temporary and long-lasting psychological distress. This study explores the impact of floods on mental health. A survey was conducted shortly after the 2022 flash flood, in which 452 male participants from the Ajmiriganj and Dharmapasha Upazilas in Bangladesh were surveyed. Mental health was assessed using the DASS-21 instrument, and we examined the variables associated with mental health issues. Descriptive statistics and multiple linear regression analysis were employed. Around 47% of participants reported severe or extremely severe depression, 41% reported severe or extremely severe anxiety, and 36% reported severe or extremely severe stress. Factors such as age, marital status, type of home, occupation, flood safety rating, and property loss during the 2022 flood were all found to be associated with depression. Anxiety was linked to flood safety, occupation, housing type, education level, and marital status. Additionally, all anxiety-related variables were also associated with stress. Mental health issues were more prevalent among older, married, illiterate participants living in kacha (temporary) housing, as well as among agricultural workers and fishers with low safety ratings. Psychological interventions and disaster risk reduction strategies could help mitigate the mental health impact of floods. The findings of this study have important implications for global disaster management and public health.

Enhancing smart healthcare with female students' stress and anxiety detection using machine learning

Machine learning (ML) is widely used to predict and detect stress and anxiety. Early detection of stress or anxiety is crucial for clinical pathways to enhance the supportive environment in society, particularly among female students. This study aims to assess and improve the accuracy of detecting stress and anxiety among female students using machine learning algorithms and functions. Three primary features are cigarette smoking, physical activity and grade point average (GPA). The multiple linear regression analysis conducted on 160 datasets obtained from the State-Trait Anxiety Inventory (STAI) at the University of Belgrade was selected. A heat map was utilised to identify the least engaging areas of the model along with most state anxiety factors. Additionally, R-squared (R2), mean absolute error (MAE), mean squared error (MSE) and root mean squared error (RMSE) were employed to assess the errors of the linear regression model for both pre-intervention and post-intervention, focusing on key features related to female students' anxiety. Using the K-Means algorithm, cluster analysis was executed on samples (N = 160) with three key features. The total average anxiety score was 44.39% (out of 80%) and is considered moderate. The heat map indicated a strong relationship between the variables. Overall, the post-intervention stage yielded acceptable results compared to the pre-intervention stage. Two clusters of anxiety among female students were identified, demonstrating that these features can accurately detect anxiety in female students. This research aims to analyse female students' stress and anxiety better using the linear regression algorithm. Additionally, ML functions demonstrated that smoking cigarettes, physical activity and GPA related to the stress and anxiety of female students have reduced errors during anxiety detection.

Boss, Can't You Hear Me? The Impact Mechanism of Supervisor Phone Snubbing (Phubbing) on Employee Psychological Withdrawal Behavior

With the excessive smartphone use in the workplace, supervisor phubbing has drawn broad concerns in managerial and academic fields. Though the neglect is unintentional, this behavior can generate counterproductive working behaviors. The basic assumptions of this study are that supervisor phubbing can impact employee psychological withdrawal behavior directly and indirectly via work alienation. To provide empirical evidence for the assumptions, the two-wave online survey of 302 Chinese employees without any supervisory functions was conducted on the Questionnaire Star platform. Based on the stressor-emotion model, work alienation is proved to be the psychological path in the positive relationship between supervisor phubbing and employee psychological withdrawal behavior. Different from the current studies exploring the impact mechanism of phubbing behavior on psychological withdrawal behavior between parents and children, couples, or friends, we put this mechanism into the workplace and focus on subordinate-superior relationships. In addition, the positive indirect effects are enhanced when employees have higher interpersonal sensitivity. In practice, these findings suggest that organizations should normalize the smart devices use in the workplace, and supervisors should balance their working roles with other roles. In addition, organizations should strengthen training on adjusting to negative emotions and interpersonal sensitivity control at work. Although two rounds of the time-lagged data were collected in a one-month interval, the limitations of cross-section data still exist, so the conclusions cannot establish causality. Hence, future research may conduct experimental or longitudinal research designs to make the conclusion more rigorous.

Towfiqul Islam AR. Knowledge, Attitude and Practices Towards Dengue Fever Among Slum Dwellers: A Case Study in Dhaka City, Bangladesh

Objectives: This study intends to evaluate Dhaka city slum dwellers' responses to Dengue fever (DF). Methods: 745 individuals participated in a KAP survey that was pre-tested. Face-to-face interviews were performed to obtain data. Python with RStudio was used for data management and analysis. The multiple regression models were applied when applicable. Results: 50% of respondents were aware of the deadly effects of DF, its common symptoms, and its infectious nature. However, many were unaware that DF could be asymptomatic, a previously infected person could have DF again, and the virus could be passed to a fetus. Individuals agreed that their families, communities, and authorities should monitor and maintain their environment to prevent Aedes mosquito breeding. However, overall 60% of the study group had inadequate preventative measures. Many participants lacked necessary practices such as taking additional measures (cleaning and covering the water storage) and monitoring potential breeding places. Education and types of media for DF information were shown to promote DF prevention practices. Conclusion: Slum dwellers lack awareness and preventative activities that put them at risk for DF. Authorities must improve dengue surveillance. The findings suggest efficient knowledge distribution, community stimulation, and ongoing monitoring of preventative efforts to reduce DF. A multidisciplinary approach is needed to alter dwellers' behavior since DF control can be done by raising the population's level of life. People and communities must perform competently to eliminate vector breeding sites.

Applying a Combination of SEM and fsQCA to Predict Tourist Resource-Saving Behavioral Intentions in Rural Tourism: An Extension of the Theory of Planned Behavior

How to save resources and protect the environment at destinations is one of the hot issues in tourism. One effective solution is to cultivate tourist resource-saving behavioral intentions (TRSBI). Prior studies mainly use Structural equation modeling (SEM) to explore its antecedents, whereas other potential methods (i.e., fuzzy-set qualitative comparative analysis, fsQCA for short) have been less adopted. This study combines SEM and fsQCA to examine TRSBI in a rural tourism context. Specifically, SEM is executed to investigate how environmental concern influences TRSBI based on the theory of planned behavior (TPB), while fsQCA is applied to uncover the multiple configurations in the TRSBI formation. The findings from SEM indicated that (1) environmental concern positively and directly influenced TRSBI; (2) TPB constructs (i.e., attitudes toward the behavior, subjective norms, and perceived behavioral control) positively and separately mediated the associations of environmental concern with TRSBI. The fsQCA outcomes showed that three configurations result in a high level of TRSBI: (1) high attitudes toward the behavior, subjective norms, and perceived behavioral control, (2) high attitudes toward the behavior, subjective norms, and environmental concern, and (3) high attitudes toward the behavior, perceived behavioral control, and environmental concern. The combined approaches offer a systematic and holistic solution to explore TRSBI in rural tourism.

A review of common mental health problems in the general population during the COVID-19 pandemic in South Asia

The coronavirus disease (COVID-19) pandemic has negatively impacted people's lives, neurobiological health, and general well-being throughout the world. South Asian countries have experienced high frequencies of psychiatric concerns that have worsened during the pandemic. This review aimed to determine the aggregated prevalence of common mental health problems (e.g., depression, fear, anxiety, stress, insomnia, and suicidal tendencies) and their associated factors among community populations in South Asian countries. Following the PRISMA guidelines, a comprehensive literature search was undertaken using multiple databases, including PubMed, Scopus, Global Health, Google Scholar and ResearchGate to retrieve articles. Overall, 22 articles were included. The prevalence of concerns ranged widely with respect to estimates of symptoms of depression (10.2-85.9%), fear (38.5-88.8%), anxiety (8.1-62.5%), stress (10.56-91.77%), and insomnia (13.32-53.45%). In addition, the prevalence of suicidal ideation was estimated to range between 5% and 8%. Factors associated with mental health concerns included socio-demographic, behavioral and health-related measures, and COVID-19 pandemic-related stressors. The findings suggest poor mental health among general populations in South Asia during the COVID-19 pandemic. Thus, identifying individuals with mental health concerns and implementing interventions including mental health counseling appear warranted among these populations.

Dengue Fever Responses in Dhaka City, Bangladesh: A Cross-Sectional Survey

Objectives: This study intends to evaluate the Dhaka city residents’ individual views toward DF.

Methods: A cross-sectional survey used google forms for collecting data. Python and RStudio were used for data management and analysis. Kruskal-Wallis or Mann-Whitney U test and logistic regression models were performed, where appropriate.

Results: In total 1008 individuals participated in a pre-tested KAP survey. More than 20% reported being affected by DF before the survey, where they rated their current places as being moderately safe (43%). In terms of DF control, 65% had good knowledge, and 68% reported good practice, whereas they demonstrated an overall good attitude. The increased knowledge of individuals could contribute to behavioral changes regarding DF. Female residents demonstrated better DF attitudes (OR: 0.69; p < 0.05) and practices (OR: 0.66; p < 0.01) compared to male residents. Mixed unit residents had poor KAP levels. Educational attainment can also play an essential role in enhancing the attitude level.

Conclusion: Overall, dengue surveillance activities with sufficient campaigns are required for behavioral change in Dhaka city. This information could be integrated into other DF-affected countries’ strategies against dengue outbreaks.

Mental Health Condition among University Students of Bangladesh during the Critical COVID-19 Period

Bangladesh's education sector has been in a state of flux since COVID-19. During the pandemic, all university campuses were closed. There was a mental health issue among the students. This study aims to examine the mental health condition and the determinants that contribute to adverse mental health conditions among university students of Bangladesh. A survey was performed online among university students in Bangladesh, in mid-June 2020 when averaging 3345 affected cases of the population daily. The convenience sampling technique was used and the survey gathered data from 365 university students. The relationship between general information and Depression, Anxiety, and Stress Scale 21 (DASS-21) subscales of university students was determined. The questionnaire was administered to respondents during the pandemic, which ensured fast replies. Linear regression models were used for statistical analysis. University students indicated normal levels of depression (30.41%), anxiety (43.29%), and stress (47.40%). However, a disproportionate number of extremely depressed, anxious, and stressed university students suggested a mental health status of concern. There were significant connections between the individual's opinion of social satisfaction, mental health concerns, and the present location's safety with an undesirable mental health condition. Female students were shown to be much more anxious and stressed than male students. Capital Dhaka city students were more depressed and anxious than students outside of Dhaka. Financial and psychological support for students may help mitigate the psychological impact. Authorities should make effective efforts to reduce mental health problems among these students. This research may aid organizations, health care providers, and social workers in their attempts to prepare for and respond to pandemics.

Association between Metacognitive Beliefs and COVID-19 phobia in a community population: a cross-sectional study

This study aims to investigate the relationship between metacognitive beliefs and COVID-19 phobia. The sample included 514 Turkish adults, 295 of whom are women (57,4%), and 219 are men (42,6%). Their ages ranged between 18 and 70 years (M = 32.96, SD = 10.79). COVID-19 Phobia Scale (C19P-S) and Metacognitions Questionnaire-30 (MCQ-30) were administered. Our analysis showed that women reported significantly higher COVID-19 phobia. The participants with chronic illnesses showed significantly higher COVID-19 phobia and MCQ-30 scores. It was found that C19P-S total score positively correlated with negative beliefs about worry concerning uncontrollability of thoughts, the need to control thoughts, cognitive self-consciousness, positive beliefs, cognitive confidence, and MCQ-30 total score respectively (r = .47, p < .001; r = .33, p < .001; r = .30, p < .001; r = .29, p < .001; r = .12, p < .001; r = .44, p < .001). Then, hierarchical multiple regression was conducted, and the relationships were tested via structural equation modeling. To sum up, it can be concluded that negative beliefs about worry concerning the uncontrollability of thoughts contribute to COVID-19 phobia. However, explained variance was small suggesting that there are additional factors involved. These results provided preliminary findings relating to the association between metacognitive beliefs and coronavirus phobia symptoms. Further longitudinal research is necessary to determine the causal direction of these findings.

Knowledge, Attitude, and Practices towards Dengue Fever among University Students of Dhaka City, Bangladesh

Dhaka has become the worst affected city in Bangladesh regarding dengue fever (DF). A large number of university students are residing in this city with a high DF risk. This cross-sectional study was conducted to assess the DF status and responses among these students through their Knowledge, Attitude, and Practices (KAP) survey. A total of 625 students participated in an online self-reported survey. Statistical analyses were performed to assess the status and KAP regarding DF. University students from the city perceived their living places as moderately safe (45.28%) against DF, whereas about 20% reported their DF infection history. Some of these students had exemplary DF knowledge (66.72%), attitude (89.28%), and practices (68.32%). However, many of them were also observed with a lack of knowledge about this disease’s infectious behavior, recognizing Aedes mosquito breeding sites, multiple infection cases, and the risk of DF viral infection during pregnancy. Fair correlations (p < 0.001) were determined in the KAP domain. Gender, residential unit, major, and dengue-relevant subjects were found to be significant predictors (p < 0.05) of KAP level in the univariate analysis. Major subject and residential units remained significant predictors of overall KAP level in further multiple analysis. This study revealed the urgency of infectious disease-related subjects and the relevant demonstration into the university curriculum. The study’s findings can assist the university, government and non-governmental organizations, and the health and social workers to prepare a comprehensive dengue response and preparedness plan.

Predicting Private and Public Pro-Environmental Behaviors in Rural Tourism Contexts Using SEM and fsQCA: The Role of Destination Image and Relationship Quality

The importance of pro-environmental behavior in tourism has been established, but explaining its sub-dimensions, especially in the private and public dimensions, is under-researched. Existing literature on tourism research mainly uses SEM to analyze tourist pro-environmental behavior, while fsQCA is scarcely implemented. In this study, SEM is applied to reveal the links among destination image, relationship quality, and pro-environmental behavior, while fsQCA is utilized to investigate configurations predicting pro-environmental behavior. Responses of 285 tourists were collected and analyzed to test the proposed hypotheses. The SEM results showed that (1) destination image directly and positively affected relationship quality (including satisfaction and destination trust); (2) relationship quality was found to positively and directly influence private and public pro-environmental behaviors; (3) relationship quality did mediate the influence of destination image on private pro-environmental behavior partially, while it played a full mediating role in the effect of destination image on public pro-environmental behavior. The findings from fsQCA indicated that (1) three sufficient configurations consistently lead to a high level of private pro-environmental behavior: (a) high destination image and satisfaction, (b) high destination image and trust, (c) high relationship quality; (2) there was only one sufficient causal configuration for a high level of public pro-environmental behavior: high relationship quality. The results provide tenable evidence that relationship quality can be a vital factor enhancing the sub-dimensions of pro-environmental behavior. The integration of these two methods helps to open the black box of tourist pro-environmental behavior in rural tourism contexts in a more systematic and holistic way.

Perceived Noise Pollution and Self-Reported Health Status among Adult Population of Bangladesh

Despite the public health concern, there is a dearth of research regarding perceived noise pollution and noise-related health status in Bangladesh. This study was carried out to evaluate the noise-related health status among Bangladesh’s adult population. 1386 adult Bangladeshis participated in an online survey. A linear regression model was used to evaluate overall noise-related health status determinants. 91% of the survey population reported noisy environments in their neighborhood, with the majority reporting two types (34%) of noise pollution sources. Road vehicles (38%) and construction activities (24%) were identified as significant source of noise pollution. The Bangladeshis are primarily exposed to noise during school and office hours. Socio-demographic information, perceived noise pollution and individual views towards noise pollution were examined as determinants of noise-related health problems. Females were found to be more impacted than males, and young people also expressed concern about noise pollution’s influence. Residents in mixed-unit buildings exhibited a significant level of noise-related health problems such as deafness, insomnia, heart disease, headache, stress, poor concentration, production loss, fatigue, irritability, heartburn, indigestion, ulcers, and high blood pressure. Noise pollution from road vehicles and industry has been shown to have a negative effect on people’s health. Individuals affected by noise were interested in noise reduction efforts. The findings of this research may aid in the improvement of international, national, and local noise control efforts.

Depression, anxiety, and stress among public university students in Bangladesh during the COVID-19 pandemic

“Coronaphobia” has spread across the world due to the overwhelming impact of coronavirus-2019 (COVID-19). The education sector has suffered from the pandemic, and university students find themselves in an unprecedented situation. Many university students in Bangladesh require psychological intervention due to adverse mental health conditions created by the COVID-19 pandemic. This cross-sectional study was conducted to evaluate the psycho­logical conditions among public university students in Bangladesh during university campus closures necessitated by the pandemic. It also sought to ascertain factors associated with adverse psychological conditions during this period. Convenience and snowball sampling techniques were employed. In all, 1,382 university students participated in an online survey during the COVID-19 pandemic. Relationships between student demographic factors and DASS 21 subscales were determined using linear regression models. Students were classified as suffering from anxiety (26.85 percent), normal depression (25.47 percent), moderate depression (29.52 percent), or extremely severe depression (17.73 percent). Students who lived with their families reported less adverse mental health. Factors strongly associated with students’ psychological conditions include age, academic field, university year, perception of their own mental health condition during the COVID-19 pandemic, safety concerns about their living place relative to COVID-19, perceptions about social life, academic profile, academic performance, concerns about pandemic impact on their studies, and part-time jobs during the pandemic. Outcomes of this research may assist social organizations and health workers to identify psychologically vulnerable university students in order to support them more effectively. Our findings could also be integrated into comprehensive pandemic control efforts.