Impact of hypomineralized teeth and sociobehavioral aspects on caries development: a prospective cohort study

Aim: This prospective cohort study was to evaluate the independent and mutual effects of socioeconomic, oral health behaviors and individual clinical factors, including enamel hypomineralization, as possible risk factors for increase in caries experience in second primary molar (SPM) over a period of 2-years. Methods: Children (n=216) aged 4-6 years were examined for hypomineralized second primary molar (HSPM) and dental caries in school settings and were recalled every 6 months. The caregivers filled out a semi-structured questionnaire about their socio-demographic and oral health-related behaviors. Data analysis was performed using a hierarchical model with three levels. Multiple analyses were performed at each level and variables with p<0.20 were tested by stepwise multiple Generalized Estimating Equation. Results: At final examination, 33.3% of the children had developed new caries lesions in SPM. The model showed that the number of years of mother’s schooling and the caregiver´s perception about their children’s caries experience played a protective role in the incidence of dental caries. Children who had white spot lesions were more likely to develop new carious lesions in SPM. Children with HSPM showed no higher incidence of caries in their SPM than those without HSPM. Conclusions: Clinical, socioeconomic and behavioral factors impacted on caries development in primary second molars. However, further studies are required to better understand the role of HSPM in caries development in other age groups.

Impact of dental caries on quality of life of adolescents according to access to oral health services: a cross sectional study

Aim: This study presents the prevalence of dental caries and its relation to the quality of life of adolescents according to the access to dental health services. Methods: Two hundred and fifty-six adolescents between 15 and 19 years of age participated in the study; they were all enrolled in public schools in a countryside municipality of the São Paulo State. Data related to dental caries were evaluated by the DMFT Index, and OHIP-14 was used for evaluating the quality of life. Mann Whitney and Spearmann correlation tests were also used (p<0.05). Results: A DMFT of 3.09 (±3.30) was found with a higher prevalence among the adolescents who used public dental services (3.43±3.34) compared with those who used private services (2.94±3.28). A statistically significant relationship between the decay component of DMFT with physical pain (0.020), physical disability (0.002) and quality of life (0.017) was verified. Conclusions: A low prevalence of dental caries was observed, and it was higher in adolescents who used public oral health services rather than private ones, evidencing the low influence of oral health on the quality of life of the participants.

Does social vulnerability for caries predict caries status of children in sub-urban Nigeria?

It is important to identify groups of people vulnerable to a disease condition. Aim: To determine the association between social vulnerability to caries and caries status of children in Ile-Ife, Nigeria. Methods: A composite vulnerability index for caries was developed using data generated for 992 children. Wilks’ Lambda test to verify relationship between vulnerability and its variables. Logistic regression analysis was conducted to determine if the social vulnerability for caries index was a good predictor for caries status. Results: The social vulnerability to caries index could not predict caries status. The study found that sex, age and number of siblings were the significant predictors of caries status in the study population. Females (AOR: 1.63; 95%CI: 1.08 – 2.46; p=0.02) and children with more than two siblings had higher odds of having caries (AOR: 2.61; 95%CI: 1.61 – 4.24; p<0.001) while children below 5 years had lower odds of having caries (AOR: 0.62; 95%CI: 0.39 – 1.00; p=0.05) Conclusions: The social vulnerability index for caries could not predict the caries status of children in the study population. Sensitive tools to identify children with caries in the study population should be developed.