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BackgroundMental diseases are very widespread and difficult to treat, affecting around 12% of the global population in 2019. Since social interaction is crucial to human existence and loneliness has been proven to be a significant predictor of depressive symptoms, it stands to reason that social connection problems would also contribute to depression. Physical inactivity seems to weaken and aggravate insulin tolerance alterations, glucose homeostasis, and plasma triglyceride levels, thereby influencing one's mood and happiness. This suggests that physical inactivity may be a significant risk factor for mental illness. This research contributes to our understanding of the mental health situation in Syria by exploring associations between a set of measurable characteristics that may be adjusted.MethodsAn online quantitative cross-sectional study was conducted between March and April 2022 in Syria, using a structured questionnaire that assesses data on behaviors of health, health in general, wellbeing, and adult population quality of life.ResultsAmong 1,224 respondents (371 men and 853 women), women have shown higher levels of mental distress, sleep issues, low engagement in structured activities, and a difficult work environment than men. Women experiencing mental anguish have reported being more sedentary, participating in less scheduled activities, and receiving less social support.ConclusionsThere are observable connections between high sedentary time and women experiencing mental distress. The mental health of Syrian women in distress was associated with a lack of participation in both organized activities and physical exercise in their free time. Furthermore, sleep issues and financial troubles were seen in persons with mental diseases of both males and females.

IntroductionCoronavirus disease 2019 (COVID-19) vaccination has emerged as a promising approach to counter the harmful impacts of the pandemic. Understanding the psychological components that may impact an individual's attitude toward COVID-19 vaccination is crucial for generating evidence-based ways to minimize vaccine hesitancy. This study determined the psychological antecedents regarding vaccine acceptance among urban slum people of Bangladesh.MethodsFrom 5 July to 5 August 5, 2021, a face-to-face survey was conducted in the urban slum of two large cities in Bangladesh. The questionnaire considered socio-demographics, health-related characteristics, psychological determinants, sources of information, and conspiracy beliefs regarding COVID-19. The 5C sub-scales were used to assess psychological antecedents. Five stepwise binary logistic regression models evaluated significant predictors for confidence, complacency, calculation, constraints, and collective responsibility. Multinomial logistic regression was used to determine the relationship between psychological antecedents and vaccine acceptability.ResultsThe study revealed that the slum residents with a high level of confident (89.94%), complacent (72.73%), having constraints (82.31%), calculative (84.80%), and responsible (93.30%) showed a higher vaccine acceptance rate. Higher vaccine acceptance was related to the believer in natural-made origin (85.96%) and those who rejected anti-vaccination (88.44%). The information acquired from newspapers differed significantly (p < 0.05), though TV or radio was the most common primary information source about COVID-19 vaccines (74.75%). The regression result revealed that marital status, education, family income, and perceived health condition were significantly associated with the 5C domains. Two psychological antecedents including complacency (OR = 3.97; p < 0.001) and collective responsibility (OR = 0.23; p < 0.001) were significantly associated with vaccine acceptance.ConclusionsDifferent predictors significantly affect psychological antecedents related to COVID-19 vaccine uptake. Therefore, considering the factors, targeted actions based on the findings may help to lower vaccine reluctance and boost vaccination rates.

Healthcare workers (HCWs) are at an increased risk of COVID-19 infection because of their direct exposure to suspected and confirmed coronavirus patients in healthcare facilities. This condition is even more acute in low-and lower-middle-income countries (LMICs). Given the poor healthcare settings of Bangladesh, it is challenging to halt the spread of infection without proper knowledge, attitudes, and good behavioral practices (KAPs). Therefore, this study conducted a cross-sectional study from May 5 to 31, 2020, with 203 healthcare professionals to determine the knowledge, attitudes, and practices (KAP) toward COVID-19. Participants were doctors, nurses, dentists, and allied health professionals. A self-administered questionnaire including several KAP-related items aligned with the World Health Organization (WHO) guidelines was distributed over various online platforms to collect data. Bivariate and multivariable logistic regression analyses were conducted to determine the factors influencing KAP levels. The majority of participants were male (52.22%). The prevalence of high knowledge levels, positive attitudes, and good practices were 51.23, 45.81, and 49.75%, respectively. Social media was the most common source for seeking coronavirus information. Workers at private institutions were less likely (OR = 0.56, 95% CI = 0.30–0.95, p < 0.05) to be knowledgeable than workers at public institutions. Doctors had more positive attitudes than other healthcare professionals. Older participants showed high rates of good behavioral practices (OR = 1.05, 95% CI = 1.06–1.32, p < 0.05) than younger ones. Workers at private institutions had a better practice level toward COVID-19 (OR = 2.11, 95% CI = 1.17–3.83) than those at public institutions. These results point to the necessity for proper training programs for medical professionals that help them gain confidence to deliver the correct treatment to their patients and the need to implement preventative steps during pandemics.