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Background: The newly emerged COVID-19 has an unprecedented impact on all classes of people, particularly the elderly. The knowledge, attitudes, and practices (KAP) of older adults toward COVID-19 are currently unknown. This study aimed to investigate the KAP and its associated factors toward COVID-19 among older adults in Bangladesh. Methods: A cross-sectional survey was conducted from April to May 2021 among Bangladeshi older adults. Face-to-face interviews were used to collect data from five selected divisions in Bangladesh using simple random sampling. The questionnaire consisted of socio-demographic characteristics, disease conditions, and KAP toward COVID-19. Descriptive statistics, t-tests, one-way analysis of variance (ANOVA), and logistic regression analyses were performed. Results: Out of 900 respondents, the majority of older adults (82.9%) indicated that COVID-19 is a viral disease and the major clinical symptom of COVID-19 (86.5%). Only 22.1% of participants always washed their hands with soap or hand sanitizer, and 27.6% wore a mask to protect against the virus when going outside the home. Overall, 55.2% had adequate knowledge, 50.2% had positive attitudes toward COVID-19 and only 22.7% had good practices. Out of 30 scores, mean score values were 20.8±6.7 in the knowledge section, 21.2±4.3 in the attitude section, and 11.3±6.7 in the practice section out of 30. In binary logistic regression analysis, factors associated with poor knowledge, and practices were being male, aged >70 years, having a primary education, less income <5000BDT, and multimorbidity (p < 0.05). Participants having poor knowledge of COVID-19 had higher likelihood of negative attitudes (OR: 6.79, 95% CI = 4.87–9.47, p < 0.001) and poor practices (OR: 9.15, 95% CI = 6.94–13.16, p < 0.001). Conclusion: The findings highlight the need for immediate implementation of health education programs and adequate intervention programs for COVID-19 which integrates consideration of associated factors to improve the level of older adults' knowledge, attitudes, and practices. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic and countrywide lockdown could negatively impact household food insecurity among low-income households. This study aimed to investigate the prevalence of household food insecurity and its influencing factors among low-income people in Bangladesh during the lockdown of COVID-19. Methods: This cross-sectional study was conducted through face-to-face interviews from 500 low-income households during the countrywide COVID-19 lockdown. A pretested, structured and validated questionnaire was used to collect socioeconomic characteristics, household income conditions, and food accessibility. Household Food Insecurity Access Scale (HFIAS) and Dietary Diversity Score (DDS) were used to measure food insecurity. Multinomial logistic regression models were estimated to evaluate and predict risk factors that influence food insecurity. Results: The study found that above 67% of households was mild-to-moderate food insecure while 23% experienced severe food insecurity. Significantly, 88%, 97.4%, and 93.4% of the households had anxiety and uncertainty, inadequate quality, and inadequate quantity of food, respectively. The regression analysis revealed the age 36–50 years (RRR: 4.86; 95% CI: 2.31–7.44, RRR: 4.16; 95% CI: 2.25–6.10) and monthly income <58.3 USD (RRR: 3.04; 95% CI: 1.12–5.14, RRR: 3.26; 95% CI: 1.79–4.71) were significantly associated with food insecurity (p <0.001). Likewise, less-income (RRR: 3.87; 95% CI: 1.37–6.46, RRR: 2.99; 95% CI: 1.16–4.83), increase in food prices (RRR: 1.29; 95% CI: 0.32–2.33, RRR: 1.08; 95% CI: 0.05–1.12), and those who did not have same type of earning as before during the COVID-19 lockdown (RRR: 3.41; 95% CI: 1.33–5.62, RRR: 2.60; 95% CI: 0.99–4.24) were potential risk factor for MMFI and FI. Conclusion: This study found that households become more susceptible to food insecurity during the COVID-19 pandemic and lockdown period. Based on the findings, we suggest some essential food policies and adequate food assistance to mitigate these negative consequences. [ABSTRACT FROM AUTHOR]

Fire accidents are very frequent and a major issue in Bangladesh in recent times. In this paper fire growth behavior in an apartment building is studied through a numerical analysis using Fire Dynamic Simulator (FDS). A model apartment with fixed combustibles was created using FDS. The fire growth characteristics were studied and heat release rate, the rise of temperature, toxic gas dispersion and human evacuation were assessed. The fire was generated using a burner function. Computational analysis results from those models were analyzed and discussed. The relationship of wind and ventilation effect with time helps to predict the fire growth behavior in different location of the apartment. Evacuation modeling was created to illustrate the effect of evacuation time and fractional effective dose (FED) for different types of agents. FED is the summation of toxic gas consumption which is important for safe evacuation. The results show that the ventilation effect releases the heat and makes the apartment less vulnerable. Elderly people took more time for total evacuation than other groups that related to FED percentage. The idea of critical door length is demonstrated for safe evacuation during fire emergencies. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to estimate the prevalence of comorbidity and its associated factors among Bangladeshi type-2 diabetes (T2D) patients., Design: A hospital-based cross-sectional study., Setting: This study was conducted in two specialised diabetic centres residing in the Jashore District of Bangladesh. A systematic random sampling procedure was applied to identify the T2D patients through a face-to-face interview., Participants: A total of 1036 patients with T2D were included in this study. A structured questionnaire was administered to collect data on demographic, lifestyle, medical and healthcare access-related data through face-to-face and medical record reviews., Outcome Measures and Analyses: The main outcome variable for this study was comorbidities. The prevalence of comorbidity was measured using descriptive statistics. A logistic regression model was performed to explore the factors associated with comorbidity among Bangladeshi T2D patients., Results: The overall prevalence of comorbidity was 41.4% and the most prevalent conditions were hypertension (50.4%), retinopathy (49.6%), obesity (28.7%) and oral problem (26.2). In the regression model, the odds of comorbidities increased with gender (male: OR: 1.27, 95% CI 0.62 to 1.87), age (50-64 years: OR: 2.14, 95% CI 1.32 to 2.93; and above 65 years: OR: 2.96, 95% CI 1.83 to 4.16), occupation (unemployment: OR: 3.32, 95% CI 0.92 to 6.02 and non-manual worker: OR: 2.31, 95% CI 0.91 to 5.82), duration of diabetes (above 15 years: OR: 3.28, 95% CI 1.44 to 5.37), body mass index (obese: OR: 2.62, 95% CI 1.24 to 4.26) of patients. We also found that individuals with recommended moderate to vigorous physical activity levels (OR: 0.41, 95% CI 1.44 to 5.37) had the lowest odds of having comorbidity. Meanwhile, respondents with limited self-care practice, unaffordable medicine and financial problems had 1.82 times, 1.94 times and 1.86 times higher odds of developing comorbidities., Conclusion: The findings could be useful in designing and implementing effective intervention strategies and programmes for people with T2D to reduce the burden of comorbidity., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)