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The aim of this study was to determine the prevalence of dental trauma in schoolchildren 6 to 12 years of age and associated clinical, sociodemographic, and socioeconomic variables. A crosssectional study was conducted in 477 children from public elementary schools in four locations in Mexico. The dependent variable was dental trauma, which was dichotomized in 0 = without dental trauma and 1 = with dental trauma. For the statistical analysis, a multivariate binary logistic regression model was generated in Stata. Average age was 9.06±1.94 years and 51.1% were girls. The prevalence of dental trauma was 18.2%. Falls, automobile accidents and sports had the highest number of instances (p < 0.01). In the multivariate model, it was observed that the risk of dental trauma increased with age (OR = 1.28) and among boys (OR = 1.45). Schoolchildren with decreased overjet (OR = 0.38) had lower dental trauma. Father's age (OR = 1.03) and educational level (OR = 1.78) were associated with dental trauma. Schoolchildren without health insurance (OR = 0.62) presented dental trauma less often. This study provided important information regarding the association of different sociodemographic, socioeconomic and clinical variables with dental trauma in Mexican schoolchildren. Identifying factors associated with dental trauma may support health promotion opportunities to ameliorate the prevalence of dental trauma. [ABSTRACT FROM AUTHOR]

The objective of this study was to compare the experience and distribution of tooth loss in people with and without diabetes. The authors conducted a comparative cross-sectional study of patients at a public university. Analysis included medical records of those treated from 2013 through 2017. The dependent and main independent variables were the number of missing teeth and a diagnosis of diabetes, respectively. As covariables, the authors analyzed the sociodemographic and socioeconomic characteristics, as well as the general and oral health status of patients. A multivariate model based on negative binomial regression was constructed. Of the 3,406 medical records analyzed, 64.2% (n = 2,185) pertained to women, the mean age was 42.45 years, 87.9% did not have diabetes, and 12.1% had received a diagnosis of diabetes. The mean (standard deviation) number of missing teeth was 7.46 (7.89), 7.09 (7.60) in patients without diabetes, and 10.12 (9.32) in patients with diabetes. According to our final multivariate model, the expected mean number of missing teeth was 11.4% higher in patients with diabetes than in those without (P =.006). For every 1-year increase in age, the expected mean number of missing teeth increased by 3.9% (P <.001). Other variables related to tooth loss included occupation, marital status, and type of insurance. The results of the study indicate that the mean number of missing teeth is higher in people with diabetes and suggest that certain socioeconomic inequalities exist in the area of oral health. The population needs to be apprised of the impact of diabetes on oral health. [ABSTRACT FROM AUTHOR]