While periodontal disease is associated with many risk factors, socioeconomically disadvantaged communities experience the highest disease burden. The aim of this study was to evaluate the effectiveness of a personalized oral health education program, in combination with routine dental treatment, in participants from a low socioeconomic community. We used a randomized, controlled, examiner-blinded clinical trial. A total of 579 participants (aged 18–60 years) were randomly grouped: the intervention group (n = 292) received a personalized oral health education program in combination with routine dental care and the control group (n = 287) received routine dental care. All participants were assessed for improvement in oral health care behaviors, dental plaque, and periodontal status at baseline, 12 months, and 24 months. We found a significant drop (p < 0.001) in the plaque indices, Periodontal Probing Depths (PPD) and Bleeding on Probing (BOP) between baseline and the 12-month follow-up for both groups. For BOP, the number of sites positive was significantly different between baseline and the 24-month follow-up (p = 0.037). No differences were found between the two groups for any evaluated clinical outcome. The personalized oral health education program used in the current study did not appear to add significant improvement to clinical outcomes of periodontal health compared with routine restorative dental care per se.

Objective: This study aimed to assess the association between sleep bruxism (SB) among children and parental sociodemographic characteristics and SB risk factors (eg, nose obstruction). Methods: A cross-sectional survey was conducted with 250 parents of children under the age of 13 who visited pediatric dental clinics. Data were collected through a questionnaire completed by parents. Sociodemographic characteristics, the child’s medical history, sleep patterns and parents’ awareness of bruxism and its symptoms were investigated. Descriptive, bivariate and binary logistic regression analyses were performed. Results: The response rate was 85.2% (55% females, 45% males) and 25.8% of the parents self-reported that their children had bruxism. The regression analysis revealed that parents reporting SB among their children were significantly more likely to have SB themselves (8.62 [3.68– 20.16], p = 0.001). While children whose mothers had lower education level and were unaware of bruxism-related symptoms (such as teeth, jaw, or face pain) were less likely to be reported as having SB (0.35 [0.16– 0.75], p = 0.007; 0.36 [0.14– 0.97], p = 0.043, respectively). Parents who identified nose obstruction as a cause of bruxism also had children with a higher likelihood of having SB (5.49 [1.04– 29.08], p = 0.045). Conclusion: The findings highlighted that parental sociodemographic characteristic and SB risk factors associated signficantly with the prevalence of childhood SB.