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Background/Aims@#Limited data are available regarding psychosocial distress at the time of diagnosis of ulcerative colitis (UC). We investigated the psychosocial burden and factors related to poor health-related quality of life (HRQL) among patients newly diagnosed with moderate-to-severe UC who were affiliated with the nationwide prospective cohort study. @*Methods@#Within the first 4 weeks of UC diagnosis, all patients were assessed using the Hospital Anxiety and Depression Scale (HADS), Work Productivity and Activity Impairment questionnaire, Inflammatory Bowel Disease Questionnaire (IBDQ), and 12-Item Short Form (SF-12) health survey. A multiple linear regression model was used to identify factors associated with HRQL. @*Results@#Between August 2014 and February 2017, 355 patients completed questionnaires. Significant mood disorders requiring psychological interventions, defined by a HADS score ≥11, were identified in 16.7% (anxiety) and 20.6% (depression) of patients. Patients with severe disease were more likely to have presenteeism, loss of work productivity, and activity loss than those with moderate disease (all p<0.05). Significant mood disorders had the strongest negative relationship with total IBDQ score, which indicates disease-specific HRQL (β coefficient: –22.1 for depression and –40.0 for anxiety, p<0.001). The scores of all SF-12 dimensions, which indicate general HRQL, were remarkably decreased in the study population compared indirectly with previously reported scores in the general population. The Mayo score, C-reactive protein level, and white blood cell count showed significant negative associations with the IBDQ score (p<0.05). @*Conclusions@#Psychosocial screening and timely interventions should be incorporated into the initial care of patients newly diagnosed with UC.
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OBJECTIVES: Resistance to antibiotics is getting worse every day. Antibiotics are commonly prescribed medicines for the prevention and treatment of bacterial infections in dental clinics. Nationally, we are attempting to reduce the use of antibiotics, but this cannot be easily achieved. As a precedent study, we investigated factors affecting antibiotic prescription in dental clinics. METHODS: We analyzed electronic patient records of S dental hospital located in a big city. A total of 12,711 medical records were analyzed. The type of prescribed antibiotic, the prescription rate, and the number of prescription days were analyzed by chi-square test and t-test. Factors associated with the rate of antibiotic prescription were analyzed using logistic regression by dividing the independent variables into four groups: patient characteristics, dentist characteristics, treatment characteristics, and time characteristics. RESULTS: The rate of antibiotic prescription was 91.7% for the first implant surgery and 60.0% for minor operations including incision and drainage. The duration of antibiotic prescription differed according to the sex of the dentist and the type of treatment. The logistic regression analysis showed that the rate of antibiotic prescription was higher in male patients, in older patients, and in female dentists, and decreased with increasing age of the dentist. Compared with basic treatment, the odds ratio of first implant surgery was highest at 102.166 times, minor operation at 18.997, and extraction of impacted tooth at 14.429. CONCLUSIONS: This is the first study to analyze the factors affecting prescription rate of antibiotics in dental clinics. We found that the antibiotic prescription rate was significantly different for each dental treatment. It was necessary to analyze the prescription rate of antibiotics according to the type of treatment. The fact that prescribing antibiotics differed according to dentist characteristics indicated that consistent guidelines need to be established and promoted.