SUMMARY: Stigma, considered a social disease, is more apparent in developing societies which are driven by various social affairs, and influences adherence to treatment. The aim of the present study was to examine levels of social stigma related to tuberculosis (TB) in sociodemographic context and identify the effects of sociodemographic factors on stigma. The study sample consisted of 372 TB patients. Data were collected using stratified sampling with simple random sampling techniques. T tests, chi-square tests, and binary logistic regression analysis were performed to examine correlations between stigma and sociodemographic variables. Approximately 85.9z of patients had experienced stigma. The most frequent indicator of the stigma experienced by patients involved problems taking part in social programs (79.5z). Mean levels of stigma were significantly higher in women (55.5z), illiterate individuals (60.8z), and villagers (60.8z) relative to those of other groups. Chi-square tests revealed that education, monthly family income, and type of patient (pulmonary and extrapulmonary) were significantly associated with stigma. Binary logistic regression analysis demonstrated that stigma was influenced by sex, education, and type of patient. Stigma is one of the most important barriers to treatment adherence. Therefore, in interventions that aim to reduce stigma, strong collaboration between various institutions is essential.

SUMMARY:The human immunodeficiency virus (HIV) epidemic continues to be associated with misconceptions and misinformed opinions, which increase the risk of HIV transmission. Therefore, the present study aimed to identify the determinant factors among different socioeconomic and demographic factors affecting misconceptions about HIV transmission among ever-married women in Bangladesh. Data and necessary information of 9,272 ever-married women were extracted from the Bangladesh Demographic and Health Survey 2011. Three types of misconceptions were considered. Both bivariate and multivariate analyses were used as the statistical tools to determine the factors affecting misconceptions about HIV transmission. The results revealed that misconceptions are more prevalent among women who are older, less educated, have husbands who are less educated, live in rural areas, have poor economic conditions, and have less access to mass media. The respondent's age, education, husband's education, place of residence, wealth index, and exposure to mass media are significantly associated with the misconceptions. Finally, logistic regression analysis identified age, education, place of residence, wealth index, and exposure to mass media as significant predictors. Because socioeconomic factors are the key determinants of misconceptions about HIV transmission, intervention programs should be aimed at HIV prevention via education and awareness programs to reduce misconceptions as important parts of the prevention strategy.

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