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Abstract Background Dental Caries affect more than half of children and adolescents globally and more so in Africa. Most caries studies in Africa are based on DMFT index which does not assess early carious lesions making early prevention and minimal invasive treatment impossible. This study therefore aimed at determining pattern, socio-demographic and behavioral correlates of dental caries according to Caries Assessment and Treatment Spectrum (CAST). Methods Cross-sectional study involving secondary school adolescents in Copperbelt province, Zambia. Socio-demographics and oral health related behaviors were assessed using a structured questionnaire while dental caries was assessed using CAST. Data were summarized as frequency distributions while cross-tabulation with Chi-squire test and adjusted multinomial logistic regression assessed strength and direction of relationship between socio-demographics, oral health behaviors and dental caries. Level of statistical significance was set at 5%. Results A total of 1,794 participants were enrolled 54% being females. Total frequency of adolescents with healthy teeth (CAST0-2) was 51.1%, pre-morbidity stages (CAST 3–4) was 24.7%, severe morbidity CAST (6–7) was 6.4% and mortality was 2.7%. The odds of being found with teeth at pre-morbidity stage decreased among male OR (95%CI) = 0.55 (0.44, 0.70) and younger participants OR (95%CI) = 0.77 (0.61, 0.98). Participants in high socio-economic status had lower odds of morbidity OR (95%CI) = 0.69 (0.52, 0.92) while those taking sugary foods five times or more per day had higher odds of morbidity OR (95%CI = 1.52 (1.01, 2.34). The odds of being found at mortality clinical stage of caries was lower among males OR (95% CI) = 0.53 (0.29, 0.96) and those who did not attend to a dentist in the previous year OR (95%CI) = 0.42 (0.23, 0.75), while higher odds OR (95%CI = 2.01 (1.02, 3.97) were among the high socio-economic status. Conclusions The proportion of participants with teeth at pre-morbidity and morbidity were high. Socio-demographics and behavioral predictors of dental caries were sex, socio-economic status, frequency of sugary food intake per day and dental visit in the previous year.

Background: Dental Caries affect more than half of children and adolescents globally and more so in Africa. Most caries studies in Africa are based on DMFT index which does not assess early carious lesions making early prevention and minimal invasive treatment impossible. This study therefore aimed at determining pattern, socio-demographic and behavioral correlates of dental caries according to Caries Assessment and Treatment Spectrum (CAST). Methods: Cross-sectional study involving secondary school adolescents in Copperbelt province, Zambia. Socio-demographics and oral health related behaviors were assessed using a structured questionnaire while dental caries was assessed using CAST. Data were summarized as frequency distributions while cross-tabulation with Chi-squire test and adjusted multinomial logistic regression assessed strength and direction of relationship between socio-demographics, oral health behaviors and dental caries. Level of statistical significance was set at 5%. Results: A total of 1,794 participants were enrolled 54% being females. Total frequency of adolescents with healthy teeth (CAST0-2) was 51.1%, pre-morbidity stages (CAST 3–4) was 24.7%, severe morbidity CAST (6–7) was 6.4% and mortality was 2.7%. The odds of being found with teeth at pre-morbidity stage decreased among male OR (95%CI) = 0.55 (0.44, 0.70) and younger participants OR (95%CI) = 0.77 (0.61, 0.98). Participants in high socio-economic status had lower odds of morbidity OR (95%CI) = 0.69 (0.52, 0.92) while those taking sugary foods five times or more per day had higher odds of morbidity OR (95%CI = 1.52 (1.01, 2.34). The odds of being found at mortality clinical stage of caries was lower among males OR (95% CI) = 0.53 (0.29, 0.96) and those who did not attend to a dentist in the previous year OR (95%CI) = 0.42 (0.23, 0.75), while higher odds OR (95%CI = 2.01 (1.02, 3.97) were among the high socio-economic status. Conclusions: The proportion of participants with teeth at pre-morbidity and morbidity were high. Socio-demographics and behavioral predictors of dental caries were sex, socio-economic status, frequency of sugary food intake per day and dental visit in the previous year. [ABSTRACT FROM AUTHOR]

Abstract Background Although dental caries is a globally widespread disease, there is no consensus regarding the method that should be used for their detection. In recent decades, a variety of new methods have been proposed for measuring caries in a population. Three caries detection methods, the decayed, missing and filled (DMF) index, the International Caries Detection and Assessment System (ICDAS) and the Caries Assessment Spectrum and Treatment (CAST), were compared to provide information to guide future method choices. Methods This was a descriptive, cross-sectional study in which three methods were used to measure caries in students, staff and their dependents at UNEB (State University of Bahia), Salvador, Brazil. We compared the mean application time of each method and the frequencies obtained by each method using the following indicators: the most severe caries lesion per individual; the mean number of missing, filled and decayed teeth; and the disease extent. Results The mean time taken to apply the DMF was 3.8 min; for ICDAS, it took 8.9 min, and for CAST, 4.7 min. When calculating the indicator the most severe caries lesion per individual, the prevalence rates were as follows: 28.1% for DMF, 84.0% for ICDAS and 75.0% for CAST. The mean numbers of decayed, missing and filled teeth were 6.0 according to the DMF, 6.2 according to ICDAS and 5.9 according to CAST. When the disease extension indicator was used, the following percentages of teeth were affected by caries: DMF 22.12%, ICDAS 49.11% and CAST 33.2%. Conclusions The DMF underestimated the occurrence of caries lesions in individuals but was the fastest method to apply. ICDAS obtained detailed information regarding lesion severity, but it was a time-consuming method and difficult to analyse. CAST described disease distributions very well and identified lesion severities and preventive and curative needs in the examined group, and the time required to apply CAST was similar to that of the DMF.