OBJECTIVE: To assess the relation between race and tooth loss, as well as the influence of socioeconomic factors, health behaviours, routine dental care and self-reported discrimination on this association. METHODS: This is a cross-sectional study with data collected from the baseline of the Pró-Saúde Study (Rio de Janeiro/Brazil), among 3253 civil servants in 1999-2001. Race was measured as self-reported skin colour (Black/Brown/White). The outcome was self-reported tooth loss, measured in four ordered categories (none/one or few/many/all or almost all). Three mediating pathways were explored between race and tooth loss. The first included self-reported discrimination assessed with a five-item scale. The second pathway included behavioural factors: routine dental care, marital status, smoking and alcohol consumption. The third considered socioeconomic factors: income, education, maternal education and early life poverty. Confounding factors were age and sex. Statistical analyses were carried out with ordinal logistic regression. RESULTS: Absence of all or almost all teeth was reported by 8% of respondents. White individuals comprised 53% of the population, followed by Browns (26%) and Blacks (22%). After adjustment, Blacks had an odds ratio of being in a higher category of missing teeth equal to 1.39 (95% CI 1.12-1.72), and Browns, 1.33 (95% CI 1.10-1.60), when compared to Whites. Age, sex and socioeconomic variables explained most of racial inequalities in tooth loss, while behavioural and discrimination variables contributed very little. Behavioural and socioeconomic variables were associated with tooth loss, while discrimination was not. No statistically significant interactions were found. CONCLUSIONS: There is an association between race and tooth loss that is mainly explained by current and early life socioeconomic variables, but not by behavioural factors and self-reported discrimination.
OBJECTIVE: To assess the relation between race and tooth loss, as well as the influence of socioeconomic factors, health behaviours, routine dental care and self-reported discrimination on this association. METHODS: This is a cross-sectional study with data collected from the baseline of the Pró-Saúde Study (Rio de Janeiro/Brazil), among 3253 civil servants in 1999-2001. Race was measured as self-reported skin colour (Black/Brown/White). The outcome was self-reported tooth loss, measured in four ordered categories (none/one or few/many/all or almost all). Three mediating pathways were explored between race and tooth loss. The first included self-reported discrimination assessed with a five-item scale. The second pathway included behavioural factors: routine dental care, marital status, smoking and alcohol consumption. The third considered socioeconomic factors: income, education, maternal education and early life poverty. Confounding factors were age and sex. Statistical analyses were carried out with ordinal logistic regression. RESULTS: Absence of all or almost all teeth was reported by 8% of respondents. White individuals comprised 53% of the population, followed by Browns (26%) and Blacks (22%). After adjustment, Blacks had an odds ratio of being in a higher category of missing teeth equal to 1.39 (95% CI 1.12-1.72), and Browns, 1.33 (95% CI 1.10-1.60), when compared to Whites. Age, sex and socioeconomic variables explained most of racial inequalities in tooth loss, while behavioural and discrimination variables contributed very little. Behavioural and socioeconomic variables were associated with tooth loss, while discrimination was not. No statistically significant interactions were found. CONCLUSIONS: There is an association between race and tooth loss that is mainly explained by current and early life socioeconomic variables, but not by behavioural factors and self-reported discrimination.
Authors: Tracy L Finlayson; Hector Lemus; Karen Becerra; Linda M Kaste; Shirley M Beaver; Christian R Salazar; Richard H Singer; Marston E Youngblood Journal: J Racial Ethn Health Disparities Date: 2018-01-11
Authors: Wael Sabbah; Aswathikutty Gireesh; Malini Chari; Elsa K Delgado-Angulo; Eduardo Bernabé Journal: Int J Environ Res Public Health Date: 2019-05-04 Impact factor: 3.390
Authors: Sandra Del Pino; Sol Beatriz Sánchez-Montoya; José Milton Guzmán; Oscar J Mújica; Juan Gómez-Salgado; Carlos Ruiz-Frutos Journal: Int J Environ Res Public Health Date: 2019-09-08 Impact factor: 3.390
Authors: Deena El-Gabri; Nicole Toomey; Nelly Moraes Gil; Aline Chotte de Oliveira; Paulo Rafael Sanches Calvo; Yolande Pokam Tchuisseu; Sarah Williams; Luciano Andrade; Joao Ricardo Nickenig Vissoci; Catherine Staton Journal: Front Public Health Date: 2020-03-25
Authors: Edson Hilan Gomes de Lucena; Rênnis Oliveira da Silva; Maria Letícia Barbosa; Elza Cristina Farias de Araújo; Antonio Carlos Pereira; Yuri Wanderley Cavalcanti Journal: BMC Oral Health Date: 2021-11-30 Impact factor: 2.757