Social Vulnerability Index and Dental Caries in Children: An Exploratory Study.

ABSTRACT

OBJECTIVE: This retrospective cross-sectional study evaluated the association between caries outcomes in a pediatric population visiting a dental clinic and the social vulnerability index, an area-based measure capturing 4 main social determinants of health socioeconomic status, household composition/disability, minority status/language, and housing/transportation. METHODS: The Centers for Disease Control Social Vulnerability Index (SVI) and electronic dental record data of children (0 to 18 y) reporting a caries diagnosis at the Children's Hospital Colorado in 2020 were extracted for 9,201 children. Logistic regressions were used to test the association between SVI and the presence or absence of dental caries, adjusting for age, sex, ethnicity, and race. RESULTS: Children with a caries diagnosis had a greater mean overall SVI percentile (62.0, standard deviation [SD] = 29.1) compared with patients without a caries diagnosis (59.1, SD = 29.8; P < 0.001). With each 10-point increase in the overall SVI percentile, having a caries diagnosis visit was 2.7% more likely compared with having a visit without a caries diagnosis (odds ratio [OR] 1.027, 95% confidence interval [CI] 1.012, 1.042; P = 0.0004). Those with an overall SVI percentile between 51 and 75 were 23% more likely to have a caries diagnosis compared with those with a percentile ≤25 (OR 1.23, 95% CI 1.07, 1.42; P = 0.003), and those with a percentile >75 were 23.6% more likely to have a caries diagnosis compared with those with a percentile ≤25 (OR 1.236, 95% CI 1.09, 1.40; P = 0.001). CONCLUSION: Children (0 to 18 y) living in socially vulnerable environments or areas were more likely to have a caries diagnosis at their dental exam. KNOWLEDGE TRANSFER STATEMENT This study showed an association between social determinants of health demonstrating social vulnerability and dental caries in children. Ultimately, understanding upstream factors for children living in socially vulnerable areas could support policymakers in creating more effective policies to support socially vulnerable populations.