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Abstract Background Disability marginalises a large portion of Bangladesh’s population. Global pre- and post-pandemic research evidently states that, this group is more prone to develop mental health problems, which increases the risk of self-harm and suicide among them. It is crucial to comprehend and mitigate the mental health challenges among the people with disabilities which in turn can promote their greater participation in community, and in national socioeconomic development. However, currently there is limited information available, regarding the suicidal behaviour of this group in Bangladesh. Therefore, this study aimed to investigate the prevalence and contributing factors of suicidal behaviour among people with disabilities. Method A cross-sectional survey was conducted during September and October 2022, among the participants who had selected disabilities, by using probability proportional to size sampling technique across all eight divisions of Bangladesh. A semi-structured questionnaire comprising information about sociodemographic, lifestyle, health; and Suicidal Behaviour Questionnaire-Revision (SBQ-R) was used. The association between the determinants and mental health outcome was investigated using the Chi-square test, and the contributing factors were investigated using the multiple binary logistic regression. Result About 10.45% of the participants reported to have suicidal behaviour (e.g., suicidal ideation, attempts, completed suicide), considering the cut-off score as 7 for the SBQ-R in the study period. Approximately, 40% respondents mentioned suicidal ideation in their lifetime, whereas, 9.01% had suicidal ideation over the past 12 months. Additionally, 8.87% of the person with disabilities, mentioned about their suicidal intent to the family members, and 5.94% reported the likelihood of suicide in the future. Being female, having multiple disabilities, and not being connected with family and friends were found to be significantly associated with suicidal behaviour. Conclusion This research demonstrates the significance of treating mental health issues and expanding accessibility to pre-existing services to lessen the impact of the limitations generated by disabilities. Policymakers can utilize this baseline findings to design large scale research and develop measures for suicide prevention, and management for at-risk groups.

Abstract Background Mendelian randomization (MR) studies using Genetic risk scores (GRS) as an instrumental variable (IV) have increasingly been used to control for unmeasured confounding in observational healthcare databases. However, proper reporting of methodological issues is sparse in these studies. We aimed to review published papers related to MR studies and identify reporting problems. Methods We conducted a systematic review using the clinical articles published between 2009 and 2019. We searched PubMed, Scopus, and Embase databases. We retrieved information from every MR study, including the tests performed to evaluate assumptions and the modelling approach used for estimation. Using our inclusion/exclusion criteria, finally, we identified 97 studies to conduct the review according to the PRISMA statement. Results Only 66 (68%) of the studies empirically verified the first assumption (Relevance assumption), and 40 (41.2%) studies reported the appropriate tests (e.g., R2, F-test) to investigate the association. A total of 35.1% clearly stated and discussed theoretical justifications for the second and third assumptions. 30.9% of the studies used a two-stage least square, and 11.3% used the Wald estimator method for estimating IV. Also, 44.3% of the studies conducted a sensitivity analysis to illuminate the robustness of estimates for violations of the untestable assumptions. Conclusions We found that incompleteness of the justification of the assumptions for the instrumental variable in MR studies was a common problem in our selected studies. This may misdirect the findings of the studies.

Abstract Background Functional difficulties in children can be transmitted from mother to child, which is a major concern. We sought to determine whether there was a correlation between a mother's functional difficulty and functional difficulty in kids between the ages of 2–4 and 5–17. We also want to evaluate other fundamental aspects that influence on child's functionality. Methods We used Multiple Indicator Cluster Survey (MICS) data sets. For two different age groups, the children's difficulty status was evaluated. The sociodemographic factors served as explanatory variables in this study. We used χ2 tests and survey logistic regression models to analyze the data. Results Functional difficulties were less common in children aged 2–4 years (2.78%) but 8.27% in those aged 5–17 years. The study specifies that the mother's functional difficulty (odds ratio [OR]: 2.66, confidence interval [CI]: 1.35–5.24 for children aged 2–4 years and OR: 3.36, CI: 2.80–4.03 for children aged 5–17 years) were significantly associated with the functional difficulty of both age groups' children. Not attending early childhood education programs (OR: 1.89, CI: 1.16–3.10 for children aged 2–4 years and OR: 2.66, CI: 2.19–3.22 for children aged 5–17 years) and divisions were also significantly affecting the functional difficulty of both age groups' children. Moreover, area of residence and gender were significant factors for the older age group. Conclusions The prevalence of difficulty among children in Bangladesh is high. Children's functional difficulty, regardless of age, is greatly influenced by the functional difficulty of their mothers, their absence from early childhood education programs, and divisions. Reducing the prevalence of child functioning difficulties will be more successful if the government and NGOs consider these factors while developing appropriate intervention programs.

In developing countries, acute respiratory infections (ARIs) cause a significant number of deaths among children. According to Bangladesh Demographic and Health Survey (BDHS), about 25% of the deaths in children under-five years are caused by ARI in Bangladesh every year. Low-income families frequently rely on wood, coal, and animal excrement for cooking. However, it is unclear whether using alternative fuels offers a health benefit over solid fuels. To clear this doubt, we conducted a study to investigate the effects of fuel usage on ARI in children. In this study, we used the latest BDHS 2017–18 survey data collected by the Government of Bangladesh (GoB) and estimated the effects of fuel use on ARI by constructing multivariable logistic regression models. From the analysis, we found that the crude (the only type of fuel in the model) odds ratio (OR) for ARI is 1.69 [95% confidence interval (CI): 1.06–2.71]. This suggests that children in families using contaminated fuels are 69.3% more likely to experience an ARI episode than children in households using clean fuels. After adjusting for cooking fuel, type of roof material, child's age (months), and sex of the child–the effect of solid fuels is similar to the adjusted odds ratio (AOR) for ARI (OR: 1.69, 95% CI: 1.05–2.72). This implies that an ARI occurrence is 69.2% more likely when compared to the effect of clean fuel. This study found a statistically significant association between solid fuel consumption and the occurrence of ARI in children in households. The correlation between indoor air pollution and clinical parameters of ARI requires further investigation. Our findings will also help other researchers and policymakers to take comprehensive actions by considering fuel type as a risk factor as well as taking proper steps to solve this issue.

Abstract Background and aims Realizing the transmission potential and the magnitude of the coronavirus disease 2019 (COVID‐19) aids public health monitoring, strategies, and preparation. Two fundamental parameters, the basic reproduction number (R0) and case fatality rate (CFR) of COVID‐19, help in this understanding process. The objective of this study was to estimate the R0 and CFR of COVID‐19 and assess whether the parameters vary in different regions of the world. Methods We carried out a systematic review to find the reported estimates of the R0 and the CFR in articles from international databases between January 1 and August 31, 2020. Random‐effect models and Forest plots were implemented to evaluate the mean effect size of R0 and the CFR. Furthermore, R0 and CFR of the studies were quantified based on geographic location, the tests/thousand population, and the median population age of the countries where the studies were conducted. To assess statistical heterogeneity among the selected articles, the I2 statistic and the Cochran's Q test were used. Results Forty‐five studies involving R0 and 34 studies involving CFR were included. The pooled estimation of R0 was 2.69 (95% CI: 2.40, 2.98), and that of the CFR was 2.67 (2.25, 3.13). The CFR in different regions of the world varied significantly, from 2.49 (2.08, 2.94) in Asia to 3.40 (2.81, 4.04) in North America. We observed higher mean CFR values for the countries with lower tests (3.15 vs 2.16) and greater median population age (3.13 vs 2.27). However, R0 did not vary significantly in different regions of the world. Conclusions An R0 of 2.69 and a CFR of 2.67 indicate the severity of the COVID‐19. Although R0 and CFR may vary over time, space, and demographics, we recommend considering these figures in control and prevention measures.