The importance of breakfast in maintaining a healthy lifestyle is well-documented, yet breakfast omission remains prevalent among children and teenagers, leading to negative health and academic outcomes. The purpose of this study is to identify the association between various levels of breakfast consumption and other related factors. A secondary cross-sectional dataset was used in this study to detect the habits of breakfast consumption and its association between other related factors. As chi-square test shows the association between the two attributes, corresponding analysis was applied in this study to see the level-wise association between the attributes. The dataset contains a total of 509 individuals that were enrolled in high school education in northeastern region of Bangladesh. The results of the study indicated that around fifty percent of the children are skipping breakfast and most of them are from Habiganj and Sunamganj districts. It is found that urban students are higher tendency to miss breakfast compare to rural area. It is also observed that lower levels of parental education are highly associated with not taking and/or irregular taking breakfast. In correspondence analysis, the results revealed that students whose mothers are engaged in government or private sector jobs tend to have a consistent breakfast routine, however, in a chi-square test it was found that mother’s occupation and breakfast consumption is not significantly associated. It indicates correspondence analysis is more suitable to discover the level-wise association. Taken together, it is concluded that parental education and occupation may increase the taking breakfast of school children. This study highlights the need to advocate for breakfast intake among adolescents. The study concludes that correspondence analysis is essential to know the level-wise association between the attributes.

Effective preventive methods for suicide need a thorough understanding of the risk factors associated with this complex and varied public health issue. This research aims to explore instances of suicide as documented in Bangladeshi newspapers, specifically examining distinctive risk factors associated with gender and demographics. 13 national daily newspapers were selected purposively data in this investigation. The logistic regression method was used for analysis and fitting to the dataset. Higher suicide odds among individuals under 30 and employed individuals. Significant regional differences are noted, with Khulna having a rate of 1.05 (OR=1.05, 95% CI: [0.45-1.42]) and Chittagong the lowest at 76% (OR=0.24, 95% CI: [0.18-0.41]) compared to Sylhet. Certain methods like hanging, poisoning, and jumping show elevated odds 1.75 (95% CI: [1.51-1.86]), 1.83 (95% CI: [0.79-1.98]), and 1.72 (95% CI: [1.53-1.97]), respectively, compared to self-harm methods among women, while factors like family issues and blackmail exhibit significantly higher odds 2.82 (95% CI: [1.85-3.10]), 1.01 (95% CI: [0.89-1.12]), and 2.06 (95% CI: [1.99-2.15]), respectively, compared to physical illness among women. By elucidating the intricacies associated with suicide risk factors in Bangladesh, our study adds to the international conversation on suicide prevention by promoting a more sophisticated comprehension of gender differences to augment the efficacy of public health campaigns.

Abstract not available

Global antibiotic resistance is a pressing issue, especially in Bangladesh, due to its widespread use, poor surveillance, and high treatment costs. This study compared antibiotic use between Rohingya and rural Bangladeshi residents, aiming to predict the frequency and tendency of commonly used antibiotics across different community levels. This was a cross-sectional descriptive study using a questionnaire. It involved Cox's Bazar camp, Tangail, and Bogura rural areas. Most participants were male, with 46.8% graduates and 20.8% untrained from mixed economic backgrounds. The study revealed that 62% adhered to doctors' orders, 28.5% followed pharmacists' recommendations, 6% sourced antibiotics from various places, 3% self-medicated, and 1% relied on advice from friends or relatives. Alarmingly, 25.3% did not complete their antibiotic courses. Age, region, advisor status, and education level were correlated with antibiotic use (P<0.05), whereas socioeconomic status was not. The most commonly used medications among both rural and FDMN populations were azithromycin, ciprofloxacin, amoxicillin, and metronidazole. These findings highlight gaps in antibiotic use and adherence, with many not completing their treatments. Despite educational and economic variations, there is a general lack of concern about AMR, emphasizing the need for better awareness of and adherence to guidelines.