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ObjectivesThis study aimed to determine the factors associated with reducing exposure to secondhand smoke among children in households of rural Bangladesh.MethodsA cross-sectional study of 410 smokers and non-smokers, in 6 villages of Munshigonj district was conducted. Data were collected randomly using a self-administrative questionnaire. Differences between variables were assessed using Chi-square or Fisher’s exact test (as appropriate). Univariate and multivariate logistic regression models were used to investigate associations. All results were presented as unadjusted and adjusted odds ratios with a 95% confidence interval. The level of statistical significance was reached when p < 0.05.ResultsA smoker in the household was determined to be a risk factor associated with exposure of other household members to secondhand smoke (p < 0.001). Higher education, strict implementation of household smoke-free rules, a higher influence of social norms and culture, as well as moderate knowledge on exposure to secondhand smoke were considered as preventive factors associated with exposure of others in the home to secondhand smoke.ConclusionExposure to secondhand smoke is an extensive and preventable risk factor for children, and reducing exposure to secondhand smoke will have a largely positive effect in the community. An effective public health intervention model may reduce secondhand smoking.
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PURPOSE: This study was performed to determine the prevalence of maxillary canine impaction on a basis of a single panoramic radiograph in Bangladeshi population. MATERIALS AND METHODS: A random sample of seven hundred panoramic radiographs was collected from the patient record of a dental clinic. All the selected panoramic radiographs were taken from January 2009 to August 2010 by a single panoramic radiograph machine with the same exposure time (19 seconds) for all radiographs. One hundred and twenty panoramic radiographs were excluded to minimize the selection bias. In a dim lit room, an observer assessed the radiographs on a standard radiographic light box. The position of the impacted maxillary canine was recorded in line with the longitudinal axis of a tooth using the edge of a metal ruler. Data were subsequently put on SPSS 11.5 software and chi-square (chi2) tests were applied to find out the association. RESULTS: Among 580 panoramic radiographs it was found that impacted maxillary canines were present in only 7 (1.2%) radiographs. A statistical significant difference was found between the age of the patients and the vertical position of the impacted canines (p=0.000) and between the age of the patients and the horizontal position of the impacted canines (p=0.003). CONCLUSION: The prevalence was found to be low compared with the present study from the limitation of panoramic image. Further study needs to include three-dimensional imaging modality.