• Eddie Norton posted an update 5 months, 1 week ago

    In each group, median values of continuous variables, with the exception of BMI (18.5?kg/m2)[24] and daily water consumption (1000?ml/day)[25, selleck chemicals llc 26], were used as cut-off values. Cut-off points of BMI and daily water consumption are used according to the previous studies because they can be easy to apply to daily clinical practice. Variables that resulted in a p-value of <0.2 in the univariate regression analysis, potential confounding and clinically important factors, such as age, gender, dementia and the frequency of daily brushing, were further subjected to multiple logistic regression analysis. Multiple logistic regression analysis was conducted to examine the relationship between potential factors and dry mouth. The odds ratios were calculated together with the 95% confidence interval (CI). All statistical analyses were performed with STATA/SE, version 10 for Windows (Stata Corp. LP, College Station, TX, USA). The level of statistical significance was set at p?<?0.05. The demographic characteristics of all study participants are shown in Table?1. Participants were predominantly women (77.5%), and the mean patient age was 85.9?��?7.2?years. Dry mouth was detected in 179/383 (46.7%) of the dependent elderly study participants. Among elderly (65�C84?years) and super-elderly (��85?years), the incidence of dry mouth was 67/167 (40.1%) and 112/216 (51.9%), respectively. Multiple logistic regression analysis identified five factors that were significantly associated with dry mouth among all study participants: odds ratios of low BMI, severity of physical disability, high daily hours of sleep, mouth breathing and administration of diuretics are 0.55 (0.33�C0.92), 2.61 (1.40�C4.86), 1.85 (1.02�C3.35), 1.90 (1.06�C3.41) and 1.82 (1.02�C3.26), respectively (Table?2). In the elderly (65�C84?years) group, seven factors were significantly associated with dry mouth: odds ratios of severity of disability, outcome measurement time, frequency of daily brushing, daily water consumption, mouth breathing, and the use of diuretics and anti-depressants were 7.53 (2.00�C28.39), 5.16 (1.18�C22.59), 5.56 (1.52�C20.0), 5.32 (1.61�C17.54), 3.85 (1.19�C12.54), 7.63 (2.24�C25.95) and 4.89 (1.22�C19.53), respectively. In the super-elderly (��85?years) group, two factors were significantly associated with dry mouth: Odds ratios of low BMI and the severity of physical disability were 0.46 (0.22�C0.95) and 2.42 (1.02�C5.72), respectively. Our cross-sectional study of 383 dependent Japanese elderly identified several potential factors associated with dry mouth. Among these novel potential factors identified in this study, we found that tooth brushing frequency was associated with the incidence of dry mouth in elderly <85?years old. To our knowledge, this is the first study to identify a link between tooth brushing frequency and the incidence of dry mouth.