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Background@#The purpose of this study was to identify the differences in socioeconomic level of self-reported and measured obesity indicators (weight, height, body mass index, and obesity prevalence) and to compare the differences between factors. @*Methods@#Data of 2,290,893 weighted cases from the 2018 community health surveys in Busan were used to calculate self-reported and measured obesity and the prevalence of obesity. Logistic regression models were used to estimate the odds ratio of self-reported and measured obesity. @*Results@#The mean differences between self-reported and measured height, weight, and BMI were 0.53 cm, 0.66 kg, and 0.37 kg/m2 for men and 0.74 cm, 0.81 kg, and 0.55 kg/m2 for women, respectively. Self-reported and measured obesity prevalence rates were 35.36% and 40.79% in men and 20.55% and 27.16% in women, respectively. The difference between measured and self-reported values was high in the lower socioeconomic level group. Measured obesity, but not self-reported obesity, was significantly higher in the lower socioeconomic level group (level 3, odds ratio 1.26, 95% confidence interval 1.01-1.56). @*Conclusions@#These results indicate a requirement for obesity management policies for women with lower socioeconomic status.
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BACKGROUND: This study aimed to compare the indicators (the rates of diagnosis, need for treatment, treatment initiation, and treatment completion) of management of latent tuberculosis infection (LTBI) in contacts and to identify the impact of active tuberculosis (TB) index case characteristics on the exposed population in congregated settings, such as schools, workplaces, and medical institutes. METHODS: The data of 8,648 clusters in the TB epidemiological investigation database between 2013 and 2016 were extracted and analyzed to evaluate the indicators and perform multilevel logistic regression (MLR) analyses to identify the factors affecting each indicator. RESULTS: The rates of total LTBI diagnosis, need for treatment, treatment initiation, and treatment completion were 15.2%, 10.2%, 69.4%, and 76.6%, respectively. After adjusting for other factors on MLR, the probability of diagnosis and need for treatment of latent TB in contacts was higher in most types of facilities than in schools. Conversely, treatment completion rates in these facilities were lower. Notably, the correctional institutions showed the highest odds ratio (OR) relative to school for LTBI diagnosis (OR, 6.37) and need for treatment (OR, 4.49) and the lowest OR for treatment completion (OR, 0.10). CONCLUSION: This study provided evidence for the implementation of latent TB control policies in congregated settings.