Health literacy has been found to be a strong predictor of an individuals’ health, health behavior and health outcomes. Lower literacy has been linked to problems with the use of preventive services, delayed diagnoses of medical conditions, poor adherence to medical instructions, poor self-management skills, increased mortality risks, poor health outcomes, and higher health care costs. The aim of this study is to determine the relationship between oral health literacy (OHL) and oral health status among patients attending a University-affiliated dental clinic. A convenience sample of participants was drawn from the dental patients presenting at School of Dental Medicine (SODM), Case Western Reserve University (CWRU). Information about the subjects’ demographic details, income, family size, insurance type and smoking history were collected using a data collection form. Data about the patients’ periodontal and caries risk assessment, caries experience and periodontal status was extracted from the patients’ electronic dental records. The Comprehensive Measure of Oral Health Knowledge (CMOHK) was used to record the oral health literacy. The median CMOHK score was 18, and this was used to categorize the sample into limited OHL (≤18) and adequate OHL (> 18) groups. A multivariate logistic regression model was built to examine the associations between the various independent variables and OHL levels. Data of 150 respondents were analyzed. More than half of the participants were female (55.3%) and the majority were Caucasian (60%). The average age of participants was 53.3 years [standard deviation (SD) 16.8]. Higher percentage of African Americans and individuals with low education had limited OHL levels (p < 0.05). The mean decayed, missing, and filled teeth (DMFT) score for this population was 7.33 ± 2.68. Subjects with limited OHL had significantly higher mean values for missing teeth (p < 0.05) and lower mean values for filled teeth (p < 0.05) as compared with subjects with adequate OHL Significantly, higher percentage of subjects with limited OHL had severe periodontitis as compared with those with adequate OHL (p = 0.04). Multivariate analysis found that the periodontal status was significantly associated with the OHL scores (p = 0.015). Subjects with limited OHL levels had poorer periodontal health. Improving the OHL of patients may help in the efforts to improve the adherence to medical instructions, self-management skills and the overall treatment outcomes. Future research could focus on assessing the impact of OHL interventions on the oral health, which could be valuable for clinical practitioners.

Baskaradoss JK, et al. Korean J Orthod. 2013 Feb;43(1):35-41. http://dx.doi.org/10.4041/kjod.2013.43.1.35

Background: The relationship between malocclusion and the oral health related quality of life (OHRQoL) of children needs to be explored further as existing literature presents conflicting evidence. This study aims to determine the association between malocclusion and OHRQoL of 11–14-year-old children. Methods: This cross-sectional study was conducted among 250 caregiver/child dyads seeking orthodontic consultation at a tertiary care hospital. The OHRQoL was assessed using child perception questionnaire for 11–14-year-old children (CPQ_11–14) and the severity of malocclusion was assessed using the Dental Aesthetic Index (DAI). CPQ_11–14 scores ranged from 0 to 64, with lower scores representing better quality of life. Analysis of variance (ANOVA) was used to assess differences between domain and total CPQ_11–14 scores. Results: The mean CPQ_11–14 score was 19.89 ± 9.8. Mean scores for the oral symptoms, functional limitations, emotional well-being, and social well-being domains were 5.26 ± 3.22, 3.67 ± 3.58, 3.98 ± 3.89 and 2.08 ± 2.98, respectively. Normal or slight malocclusion was seen in 37.6%, definite malocclusion was seen in 22.4%, severe malocclusion in 15.2% and handicapping malocclusion in 24.8% of the subjects. In comparisons by pairs, it was found that children with handicapping malocclusion had significantly (p < 0.05) higher scores for the social well-being domain as compared with children having normal/minor malocclusion, indicating a poorer quality of life. Conclusion: Handicapping malocclusion had a significant negative impact on the social well-being domain of OHRQoL among 11–14-year-old children in this population.

Aim: Previous studies have shown that children of caregivers with low oral health literacy (OHL) had more untreated caries than children of caregivers with adequate OHL. However, there is a paucity of information on this relationship among children and youth with special health care needs (CYSHCN). Accordingly, this study aims to assess the association between the caregivers’ OHL and the oral health status of CYSHCN. Methods: This cross-sectional study was conducted in four schools dedicated for CYSHCN. A 48-item questionnaire gathered information about the demographic and socioeconomic factors, the child/adolescent’s medical condition, dental characteristics, caregiver self-efficacy and the child’s dental attitude. The Comprehensive Measure of Oral Health Knowledge (CMOHK) questionnaire was used to assess the caregivers’ OHL. The Löe & Silness gingival index (GI) and the Silness & Löe plaque index (PI) were used to assess gingival health and plaque levels, respectively. Directed acyclic graphs (DAGs) were utilized for the selection of the appropriate set of confounding variables for regression analysis. The mean score differences and 95% confidence intervals (CI) were estimated to quantify the associations of the various covariates with oral health outcome variables. Results: This study included 214 child/caregiver dyads. Most participants were physically disabled (56.1%) followed by children with hearing difficulty (9.8%) and congenital anomalies/syndromes (7.9%). The mean PI and GI of the children was 1.26±0.52 and 1.30±0.47, respectively. The median CMOHK score was 12 and the respondents were dichotomized based on the median value. Low caregiver oral health conceptual knowledge was significantly associated with higher PI scores (β [95% CI] = -0.26 [-0.41, -0.13]; p<0.001. Older participants (12-21-year-olds) had significantly higher plaque scores compared with younger participants (6-12-year-olds) (β [95% CI] = 0.33 [0.18, 0.51]; p<0.001). Participants who brushed their teeth twice or more daily had significantly lower (β [95% CI] = -0.15 [-0.43, -0.01]; p = 0.046). Conceptual knowledge score was not significantly associated with GI. Conclusion: This study found lower caregiver OHL levels to be associated with higher plaque scores for their child.

Background: It is hypothesized that periodontal status is compromised and whole salivary (WS) interleukin (IL)-15 and IL-18 levels are higher among cigarette-smokers and electronic-nicotine-delivery-systems (ENDS)-users than never-smokers. The aim of the present case–control study was to compare the periodontal status and WS IL-15 and -18 levels among cigarette-smokers, ENDS-users and controls (never-smokers). Methods: Participants were divided into 4 groups as follows: Group-1:Current cigarette-smokers; Group-2:ENDS-users; Group-3:Never-smokers with periodontitis; and Group-4: Never-smokers without periodontitis. Demographic data was collected and plaque index (PI), gingival index (GI), probing-depth (PD), clinical attachment-loss (AL), and marginal bone loss (MBL) were measured. Number of missing teeth were recorded and WS IL-15 and IL-18 levels were determined. Group-comparisons were done and P < 0.01 was selected as an indicator of statistical analysis. Results: Nineteen, 18, 19 and 19 individuals were enrolled in groups 1, 2, 3 and 4, respectively. Scores of PI, clinical AL, PD, and number of missing-teeth were elevated in groups 1(P < 0.001), 2 (P < 0.001) and 3 (P < 0.001) than -4. Scores of PI, clinical AL, PD, MBL and missing teeth were comparable among patients in groups 1, 2 and 3. Levels of IL-15 and IL-18 were elevated in groups 1 (P < 0.001) and 2 (P < 0.001) than groups 3 and 4. The levels of IL-15 and -18 were higher in Group-3 than in Group-4 (P < 0.001). Conclusion: Clinically, cigarette-smokers and never-smokers demonstrate similar periodontal statuses; however, WS immunoinflammatory biomarkers (IL-15 and -18) are elevated in these individuals than non-smokers.