Income Trajectories and Oral Health of Young People in a Life Course Study

Health literacy and self-efficacy associations with non-adherence to dental treatment among young adults

The aim of this study was to investigate associations of health literacy (HL), general self-efficacy (GSE), and sociodemographic variables with non-adherence to dental treatment among Brazilian young adults. This is a cross-sectional study based on a cohort study of 248 young adults aged 19 to 25 years followed up in an earlier study. The participants completed the perceived general self-efficacy scale (GSE), a questionnaire on socioeconomic and demographic variables and were examined for oral conditions. HL was measured using the Brazilian version of the health literacy questionnaire (HLQ-Br), which provides nine individual scores based on an average of the items within each of the nine scales. Dental treatment adherence was evaluated as the decision of young adults to seek a dentist to finish the recommended restorative treatment for dental caries. The effects of HL domains on the adherence to dental treatment were analyzed by logistic regression and the effect was adjusted for sex, age, family income, paternal and maternal education, type of housing, and self-efficacy. The results of the adjusted analysis showed associations among young adults who did not adhere to dental treatment with lower self-efficacy levels, living in non-owner-occupied homes, and lower HL levels in almost all of the HL domains (p < 0.05). Only the HLQ6 domain "Ability to actively engage with healthcare providers" was not associated with the outcome (p>0.05). Adherence to dental treatment in primary care among young adults was associated with their general self-efficacy levels, socioeconomic characteristics, and individual's lower HL aspects.

Cumulative socio-economic disadvantage and traumatic dental injuries during adolescence

BACKGROUND/AIM

Studies on the association between socio-economic circumstances and traumatic dental injuries (TDIs) are cross-sectional and inconclusive. The aim of this study was to investigate the association between cumulative socio-economic disadvantage and TDIs among adolescents.

METHOD

Data from 668 participants in the East London Adolescents Community Health Survey (RELACHS) were analysed. Family socio-economic indicators (parental employment, car ownership and eligibility for free school meals) were collected when participants were in grades 7 (11-12 years), 9 (13-14 years) and 11 (15-16 years). The number of periods (RELACHS waves) adolescents lived in socio-economic disadvantage was counted for each socio-economic measure, ranging from 0 (never in disadvantage) to 3 (always in disadvantage). Adolescents were dentally examined for TDIs at age 15-16 years. The association between each measure of cumulative socio-economic disadvantage and TDIs was tested in logistic regression models adjusting for demographic factors.

RESULTS

Significant positive linear trends in the prevalence of TDIs were observed by the number of periods of parental unemployment and being without a family car, but not by eligibility for free school meals. Adolescents whose parents were always unemployed had 2.06 (95% CI: 1.12-3.80) greater odds of having TDIs than those whose parents were never unemployed. Similarly, adolescents from families that never owned a car had 2.17 (95% CI: 1.26-3.74) greater odds of having TDIs than those that always had a family car.

CONCLUSION

Cumulative socio-economic disadvantage during adolescence was associated with greater odds of having TDIs.