We examined the associations of oral health literacy (OHL) with oral health status (OHS) and dental neglect (DN), and we explored whether self-efficacy mediated or modified these associations.
We used interview data collected from 1280 female clients of the Special Supplemental Nutrition Program for Women, Infants and Children from 2007 to 2009 as part of the Carolina Oral Health Literacy Project. We measured OHL with a validated word recognition test (REALD-30), and we measured OHS with the self-reported National Health and Nutrition Examination Survey item. Analyses used descriptive, bivariate, and multivariate methods.
Less than one third of participants rated their OHS as very good or excellent. Higher OHL was associated with better OHS (for a 10-unit REALD increase: multivariate prevalence ratio = 1.29; 95% confidence interval = 1.08, 1.54). OHL was not correlated with DN, but self-efficacy showed a strong negative correlation with DN. Self-efficacy remained significantly associated with DN in a fully adjusted model that included OHL.
Increased OHL was associated with better OHS but not with DN. Self-efficacy was a strong correlate of DN and may mediate the effects of literacy on OHS.
[Show abstract][Hide abstract] ABSTRACT: Background
Limited health literacy among adults is one of the many barriers to better oral health outcomes. It is not uncommon to find people who consider understanding oral health information a challenge. Therefore, the present study assessed oral health literacy among clients visiting Gian Sagar Dental College and Hospital, Rajpura.
Materials and Methods
A cross-sectional study was conducted on 450participants who visited the Out Patient Department (OPD) of Gian Sagar Dental College and Hospital for a period of two months (Nov–Dec, 2013). A questionnaire was given to each of the participants. Oral health literacy was graded on a 12-point Likert scale based on the total score. Oral Health Literacy of the participants was assessed as low, medium and high on the basis of responses. Statistical analysis was done using SPSS-15 statistical package. ANOVA and Student t-test were used to do comparisons between groups.
Low oral health literacy scores were reported in 60.2% (271) participants. More than 60% of the study participants had knowledge about dental terms such as ‘dental caries,’ and ‘oral cancer.’ Only 22% of the graduates had a high literacy score. Mean oral health literacy score according to educational qualification was statistically significant (p<0.05), whereas there was no significant difference in terms of age and gender (p>0.05).
The majority of the participants had low literacy scores. There is a need to address these problems especially among rural population by health care providers and the government.
Ethiopian journal of health sciences 07/2014; 24(3):261-8. DOI:10.4314/ejhs.v24i3.10
"An accumulating body of evidence links low OHL with worse oral health outcomes such as oral health status [22,23], dental neglect  as well as sporadic dental attendance . In a investigation among a group of Indigenous Australians, Parker and Jamieson  found that although low OHL was not associated with self-reported oral health status, it was associated with increased prevalence of OHIP-14 impacts (proportion of items reported fairly/very often). "
[Show abstract][Hide abstract] ABSTRACT: To investigate the association between oral health literacy (OHL) and oral health-related quality of life (OHRQoL) and explore the racial differences therein among a low-income community-based group of female WIC participants.
Participants (N = 1,405) enrolled in the Carolina Oral Health Literacy (COHL) study completed the short form of the Oral Health Impact Profile Index (OHIP-14, a measure of OHRQoL) and REALD-30 (a word recognition literacy test). Socio-demographic and self-reported dental attendance data were collected via structured interviews. Severity (cumulative OHIP-14 score) and extent of impact (number of items reported fairly/very often) scores were calculated as measures of OHRQoL. OHL was assessed by the cumulative REALD-30 score. The association of OHL with OHRQoL was examined using descriptive and visual methods, and was quantified using Spearman's rho and zero-inflated negative binomial modeling.
The study group included a substantial number of African Americans (AA = 41%) and American Indians (AI = 20%). The sample majority had a high school education or less and a mean age of 26.6 years. One-third of the participants reported at least one oral health impact. The OHIP-14 mean severity and extent scores were 10.6 [95% confidence limits (CL) = 10.0, 11.2] and 1.35 (95% CL = 1.21, 1.50), respectively. OHL scores were distributed normally with mean (standard deviation, SD) REALD-30 of 15.8 (5.3). OHL was weakly associated with OHRQoL: prevalence rho = -0.14 (95% CL = -0.20, -0.08); extent rho = -0.14 (95% CL = -0.19, -0.09); severity rho = -0.10 (95% CL = -0.16, -0.05). "Low" OHL (defined as < 13 REALD-30 score) was associated with worse OHRQoL, with increases in the prevalence of OHIP-14 impacts ranging from 11% for severity to 34% for extent. The inverse association of OHL with OHIP-14 impacts persisted in multivariate analysis: Problem Rate Ratio (PRR) = 0.91 (95% CL = 0.86, 0.98) for one SD change in OHL. Stratification by race revealed effect-measure modification: Whites--PRR = 1.01 (95% CL = 0.91, 1.11); AA--PRR = 0.86 (95% CL = 0.77, 0.96).
Although the inverse association between OHL and OHRQoL across the entire sample was weak, subjects in the "low" OHL group reported significantly more OHRQoL impacts versus those with higher literacy. Our findings indicate that the association between OHL and OHRQoL may be modified by race.
Health and Quality of Life Outcomes 12/2011; 9(1):108. DOI:10.1186/1477-7525-9-108 · 2.12 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: To compare oral health literacy (OHL) levels between two profoundly disadvantaged groups, Indigenous Australians and American Indians, and to explore differences in socio-demographic, dental service utilisation, self-reported oral health indicators, and oral health-related quality of life (OHRQoL) correlates of OHL among the above.
OHL was measured using REALD-30 among convenience samples of 468 Indigenous Australians (aged 17-72 years, 63% female) and 254 female American Indians (aged 18-57 years). Covariates included socio-demography, dental utilisation, self-reported oral health status (OHS), perceived treatment needs and OHRQoL (prevalence, severity and extent of OHIP-14 'impacts'). Descriptive and bivariate methods were used for data presentation and analysis, and between-sample comparisons relied upon empirical contrasts of sample-specific estimates and correlation coefficients.
OHL scores were: Indigenous Australians - 15.0 (95% CL=14.2, 15.8) and American Indians--13.7 (95% CL=13.1, 14.4). In both populations, OHL strongly correlated with educational attainment, and was lower among participants with infrequent dental attendance and perceived restorative treatment needs. A significant inverse association between OHL and prevalence of OHRQoL impacts was found among American Indians (rho=-0.23; 95% CL = -0.34, -0.12) but not among Indigenous Australians.
Our findings indicate that OHL levels were comparable between the two groups and lower compared to previously reported estimates among diverse populations. Although the patterns of association of OHL with most examined domains of correlates were similar between the two groups, this study found evidence of heterogeneity in the domains of self-reported OHS and OHRQoL.
Community dental health 03/2013; 30(1):52-7. DOI:10.1922/CDH_3025Jamieson06 · 0.60 Impact Factor
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