Severe untreated dental caries with clinical consequences had a negative impact on the children's OHRQoL, regardless of toothache and socioeconomic factors.

This study is aimed to perform an update of a systematic review and meta-regression to evaluate the effect modification of the socioeconomic indicators on caries in adults. We included studies that associated social determinants with caries, with no restriction of year and language. The Newcastle-Ottawa Scale was used to evaluate the risk of bias. With regard to the meta-analysis, statistical heterogeneity was evaluated by I2, and the random effect model was used when it was high. A subgroup analysis was conducted for socioeconomic indicators, and a meta-regression was performed. Publication bias was assessed through Egger’s test. Sixty-one studies were included in the systematic review and 25 were included in the meta-analysis. All of the studies were published between 1975 and 2016. The most frequent socioeconomic indicators were schooling, income, and socioeconomic status (SES). In the quantitative analysis, the DMFT (decayed, missing, filled teeth) variation was attributed to the studies’ heterogeneity. The increase of 10.35 units in the proportion of people with lower SES was associated with an increase of one unit in DMFT, p = 0.050. The findings provide evidence that populations with the highest proportions of people with low SES are associated with a greater severity of caries. The results suggest the need for actions to reduce the inequalities in oral health (PROSPERO [CRD42017074434]).

Objectives The aim of this study was to evaluate the association between the prevalence of cavitated dental caries and oral health literacy (OHL), family characteristics and sociodemographic factors in early adolescence. Methods A cross‐sectional study was conducted with 740 twelve‐year‐old students. The students' guardians provided information on sociodemographic data, and the students provided information on family characteristics and OHL. Two trained dentists examined the participants for dental caries and administered the Brazilian version of the Rapid Estimate of Oral Health Literacy in Dentistry (BREALD‐30). Control variables were selected using a directed acyclic graph. Descriptive analysis was performed; this was followed by robust Poisson regression analysis for complex samples to evaluate the association between dental caries and socioeconomic and family predictors (α = 5%). Results The following variables were associated with a greater number of cavitated caries lesions: low level of education completed by the mother (RR = 1.58; 95% CI: 1.12‐2.24), less privileged social class (RR = 1.89; 95% CI: 1.28‐2.80), non‐White ethnicity (RR = 1.64; 95% CI: 1.0‐2.48), larger number of residents in the home (RR = 1.87; 95% CI: 1.25‐2.81), low level of OHL (RR = 2.02; 95% CI: 1.28‐3.18), and the ‘connected’ (RR = 4.72; 95% CI: 1.17‐18.90), ‘separated’ (RR = 4.09; 95% CI: 1.05‐15.86) and ‘disengaged’ (RR = 4.20; 95% CI: 1.09‐16.18) types of family cohesion. Conclusions A low level of oral health literacy, sociodemographic factors, and a low level of family cohesion are predictors of cavitated caries lesions in early adolescence.

OBJECTIVE: Evaluate socio-demographic, family and behavioral factors associated with oral health literacy (OHL) in adolescents. METHODS: Cross-sectional study conducted with adolescents aged 15 to 19 years in Campina Grande, Brazil. Parents/guardians answered a questionnaire addressing socio-demographic data. The adolescents answered validated instruments on family cohesion and adaptability (family adaptability and cohesion evaluation scale), drug use (alcohol, smoking and substance involvement screening test), type of dental service used for last appointment and OHL (Brazilian version of the Rapid Estimate of Oral Health Literacy in Dentistry). Two dentists were trained to evaluate OHL (K = 0.87–0.88). Descriptive analysis was performed, followed by Poisson regression analysis (α = 5%). A directed acyclic graph was used to select independent variables in the study. RESULTS: The following variables remained associated with better OHL: high mother’s schooling level (RR = 1.07; 95%CI: 1.03–1.12), high income (RR = 1.04; 95%CI: 1.01–1.09), white ethnicity/skin color (RR = 1.05; 95%CI: 1.01–1.10), married parents (RR = 1.04; 95%CI: 1.01–1.09), “enmeshed” family cohesion (RR = 1.21; 95%CI: 1.12–1.30), “structured” (RR = 1.06; 95%CI: 1.01–1.12) or “rigid” (RR = 1.11; 95%CI: 1.04–1.19) family adaptability, having more than five residents in the home (RR = 1.07; 95%CI: 1.01–1.14) and having used a private dental service during the last appointment (RR = 1.08; 95%CI: 1.03–1.13). CONCLUSION: Family functioning and socio-demographic factors influence the level of oral health literacy among adolescents.

A dietary assessment based solely on the frequency of the consumption of cariogenic foods may not be sufficient to understand the occurrence of dental caries in preschool children. It is necessary a more comprehensive evaluation of the dietary pattern, once a healthy diet can present an association with lower prevalence of caries even among preschool children who consume cariogenic foods.

Although the analyzed items are insufficient to determine the performance of OHTs, the items related to prosthesis and oral cancer tend to discriminate high-performing OHTs from other OHTs.

Most oral conditions have a multifactorial etiology; that is, they are modulated by biological, social, economic, cultural, and environmental factors. A consistent body of evidence has demonstrated the great burden of dental caries and periodontal disease in individuals from low socioeconomic strata. Oral health habits and access to care are influenced by the social determinants of health. Hence, the delivery of health promotion strategies at the population level has shown a great impact on reducing the prevalence of oral diseases. More recently, a growing discussion about the relationship between the environment, climate change, and oral health has been set in place. Certainly, outlining plans to address oral health inequities is not an easy task. It will demand political will, comprehensive funding of health services, and initiatives to reduce inequalities. This paper sought to give a perspective about the role of social and physical environmental factors on oral health conditions while discussing how the manuscripts published in this Special Issue could increase our knowledge of the topic.

This study investigated risk factors for tooth injuries in individuals from a dental clinical reference service for patients with special needs in Belo Horizonte, MG, Brazil. This is a retrospective cohort study that evaluated 493 dental charts of individuals with or without tooth injuries at their first dental appointment. The dependent variable was the time of occurrence of new dental traumatic injuries and was measured in months. Gender, age, International Code of Diseases, mother's education, mouth breathing, hyperkinesis, pacifier use, thumb sucking, psychotropic drug use, tooth injuries at the first dental examination, involuntary movements, open bite, having one or more siblings and reports of seizures were the covariates. The Cox proportional hazards regression model was used to estimate the unadjusted and adjusted hazard ratios and their respective 95% confidence intervals. The average time that individuals remained free of dental traumatism was 170.78 months (95% CI, 157.89-183.66) with median of 216 months. The incidence of new events was 11.88%. The covariate associated with an increased risk of dental traumatism was a history of tooth injuries at the first dental appointment. The increase in dental trauma risk was 3.59 (95% CI, 1.94-6.65). A history of traumatic dental injury was the risk factor for the dental trauma found in this group of individuals with developmental disabilities.