The objective of this study is to investigate the main social, psychosocial and clinical factors associated with poor self-rated oral health in adolescents.
A cross-sectional survey was carried out in two cities of the Distrito Federal, Brazil. Data were collected by clinical examinations and by self-administered questionnaires from 1302 adolescents aged 14- 15 years in 39 schools. Data analysis was carried out using a Poisson regression model taking into account the cluster sample.
Adjusting for social, psychosocial and clinical factors, results showed that poor self-rated oral health was significantly associated (P < 0.001) with sex (males) [prevalence ratio (PR) = 0.8, 95% confidence interval (95% CI): 0.7-0.9]; low social class (PR =1.4, 95% CI: 1.2-1.6); poor self-rated general health (PR = 2.6, 95% CI: 2.3-3.1); mouth appearance (PR = 1.9, 95% CI: 1.6-2.2) and with presence of untreated dental decay (PR = 1.4, 95% CI: 1.3-1.6).
The single question on self-rated oral health appears to be a simple and easy way to collect dental health information in adolescents. Assessment and understanding of self-rated oral health should take into account social, psychosocial and oral factors.
"These subjective measures capture current rather than historic oral health and are associated with general wellbeing, unmet treatment needs and clinical outcomes. As such, they are highly relevant for planning and evaluating health services and health promotion interventions as they can influence contemporary decisions about oral health and dental care use
[Show abstract][Hide abstract] ABSTRACT: The objective of this study was to assess socioeconomic inequalities in subjective measures of oral health in a national sample of adults in England, Wales and Northern Ireland.
We analysed data from the 2009 Adult Dental Health Survey for 8,765 adults aged 21 years and over. We examined inequalities in three oral health measures: self-rated oral health, Oral Health Impact Profile (OHIP-14), and Oral Impacts on Daily Performance (OIDP). Educational attainment, occupational social class and household income were included as socioeconomic position (SEP) indicators. Multivariable logistic regression models were fitted and from the regression coefficients, predictive margins and conditional marginal effects were estimated to compare predicted probabilities of the outcome across different SEP levels. We also assessed the effect of missing data on our results by re-estimating the regression models after imputing missing data.
There were significant differences in predicted probabilities of the outcomes by SEP level among dentate, but not among edentate, participants. For example, persons with no qualifications showed a higher predicted probability of reporting bad oral health (9.1 percentage points higher, 95% CI: 6.54, 11.68) compared to those with a degree or equivalent. Similarly, predicted probabilities of bad oral health and oral impacts were significantly higher for participants in lower income quintiles compared to those in the highest income level (p < 0.001). Marginal effects for all outcomes were weaker for occupational social class compared to education or income. Educational and income-related inequalities were larger among young people and non-significant among 65+ year-olds. Using imputed data confirmed the aforementioned results.
There were clear socio-economic inequalities in subjective oral health among adults in England, Wales and Northern Ireland with stronger gradients for those at younger ages.
BMC Public Health 08/2014; 14(1):827. DOI:10.1186/1471-2458-14-827 · 2.26 Impact Factor
"Although findings were not comparable, the non-significant association of CS-impacts with gender found in this study was consistent with previous studies on toothache (Bastos et al., 2008; Goes et al., 2007). However, all other previous studies in children and adolescents that used a generic OHRQoL index or self-rated oral health found that girls were statistically significantly more likely than boys to report problems with, or poor oral health (Castro et al., 2011; Mbawalla et al., 2010; Pattussi et al., 2007; Piovesan et al., 2010). For other sociodemographic factors, the non-significant associations of CS-impacts with urbanization and school type found in this study were consistent with previous studies in Sudan and Tanzania (Mbawalla et al., 2010; Nurelhuda et al., 2010). "
[Show abstract][Hide abstract] ABSTRACT: This study aimed to assess associations between sociodemographic and oral health behavioural factors with dental caries and oral health-related quality of life (OHRQoL) attributed to dental caries in a national representative sample of 12- and 15-year-old Thai children.
A representative subsample from the sixth Thailand National Oral Health Survey, 1,063 12-year-olds and 811 15-year-olds, completed a questionnaire on sociodemographic and behavioural information and were orally examined and interviewed about OHRQoL using the Child-OIDP or OIDP indexes. Associations of sociodemographic and behavioural factors with DMFT and Condition-Specific impacts (CS-impacts) attributed to dental caries were investigated using Chi-square tests and regressions.
For both groups, DMFT scores were associated with gender, geographic area and recently receiving dental treatment. Geographic area was the only sociobehavioural factor independently associated with CS-impacts. Dental caries accounted for the significant associations of sugary snacks and drinks consumption with CS-impacts. Significant associations of CS-impacts with consuming crispy snacks in 12-year-olds and fizzy drinks in 15-year-olds became non-significant when DT was entered into models.
There were considerable geographic differences in DMFT and CS-impacts attributed to dental caries among Thai children.
Community dental health 06/2013; 30(2):112-8. DOI:10.1922/CDH_3007Krisdapong07 · 0.60 Impact Factor
"Similar findings were also observed for 15-year-olds with filled teeth. Our findings of significant associations of OHRQoL with the D component, but non-significant association with M and F components, were consistent with studies on the same age groups [Pattussi et al., 2007; Biazevic et al., 2008; Barretto et al., 2009; Nurelhuda et al., 2010; Piovesan et al., 2010]. For studies using caries experience (DMF) as an independent variable, associations with OHRQoL were not significant [Brown and Al-Khayal, 2006; Do and Spencer, 2007; Biazevic et al., 2008; Nurelhuda et al., 2010; Kolawole et al., 2011], except between groups with high DMFT and caries-free groups, which might be due to the also high D component or coexisting severe decay [Do and Spencer, 2007; Page et al., 2011]. "
[Show abstract][Hide abstract] ABSTRACT: Dental caries is generally given the highest priority in national oral health services for school-aged populations. Yet, there is no study exploring the impacts on quality of life specifically related to dental caries in national samples of school-aged children. This study assessed prevalence and characteristics of oral impacts attributed to dental caries on quality of life and compared them with overall oral health impacts. In addition, associations of oral impacts attributed to dental caries and dental caries status were investigated. A national representative sample of 1,063 12- and 811 15-year-olds completed a sociodemographic and behavioural questionnaire, and were orally examined and interviewed about oral health-related quality of life using the Child-OIDP or OIDP indexes, respectively. Associations of condition-specific impacts (CS impacts) attributed to dental caries with components of DMF were investigated using χ(2) tests and multivariate logistic regressions. CS impacts attributed to dental caries were reported by nearly half the children and such impacts accounted for half of overall oral impacts from all oral conditions. The majority of impacts were of little intensity and affected only 1-2 daily performances, particularly performances on Eating, Emotional stability and Cleaning teeth. CS impacts were significantly positively associated with number of decayed teeth, and strongly associated with severe decay.
Caries Research 10/2012; 47(1):9-17. DOI:10.1159/000342893 · 2.28 Impact Factor
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.