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This study investigated the role of oral health‐related functional limitations and social well‐being, self‐perceived health, psychosocial factors, and social support in mediating the impact of malocclusion on health‐related quality of life (HRQoL). A school‐based 6‐month cohort study was conducted with 376 12‐year‐old deprived adolescents. Measures at baseline included malocclusion (DAI score), dental caries, sociodemographic characteristics, psychosocial traits (self‐esteem, sense of coherence, oral health beliefs), and social support. The oral health‐related functional limitations and symptoms (social well‐being) domains of the CPQ11‐14, self‐perceived health, and HRQoL (Kiddo‐KINDL) were evaluated at the 6‐month follow‐up. Associations between observed and latent variables (social support, psychosocial factors, and HRQoL) were evaluated using structural equation modelling, according to the Wilson and Cleary theoretical model. Malocclusion was indirectly associated with worse HRQoL, mediated by functional limitations, social well‐being, and self‐perceived health. Better psychosocial status was directly associated with better HRQoL, and higher social support was indirectly associated with better HRQoL via psychosocial factors. Dental caries experience, female sex, and lower family income were indirectly associated with worse HRQoL. The impact of malocclusion on HRQoL was mediated by oral health‐related functional limitations, social well‐being, and self‐perceived health. Sociodemographic and psychosocial factors, and social support also impacted HRQoL. [ABSTRACT FROM AUTHOR]

Background: The possible link between dental status and school performance has been investigated. The influence of the clinical consequences of untreated dental caries in this association, however, has been minimally explored. Aim: To assess the relationship between clinical consequences of untreated dental caries and school performance in adolescents, and to examine the demographics and socioeconomic status pathways by which clinical consequences of untreated dental caries is associated with school performance. Design: A cross‐sectional study involving 363 low‐income school adolescents was conducted in the city of Manaus, Brazil. Dental clinical measures were registered by five calibrated examiners to evaluate dental caries experience (decayed, missing, and filled teeth index [DMFT]) and clinical sequelae of dental caries (PUFA/pufa index). School performance was assessed using school grade history obtained from official records. Statistical analysis was conducted using pathway analysis to estimate beta coefficients (β) of the direct and indirect effects between variables. Results: DMFT and PUFA/pufa mean were 1.93 and 0.30, respectively. PUFA/pufa scores (β = −0.19) and male sex (β = 0.35) directly predicted poor school performance. DMFT was indirectly linked to poor school performance via PUFA/pufa scores (β = −0.03). Conclusions: Dental caries and clinical consequences of dental caries were important predictors of poor school performance in low‐income adolescents via direct and indirect effects. [ABSTRACT FROM AUTHOR]

Advances in diagnostic research are moving towards methods whereby the periodontal risk can be identified and quantified by objective measures using biomarkers. Patients with periodontitis may have elevated circulating levels of specific inflammatory markers that can be correlated to the severity of the disease. The purpose of this study was to evaluate whether differences in the serum levels of inflammatory biomarkers are differentially expressed in healthy and periodontitis patients. Twenty-five patients (8 healthy patients and 17 chronic periodontitis patients) were enrolled in the study. A 15 mL blood sample was used for identification of the inflammatory markers, with a human inflammatory flow cytometry multiplex assay. Among 24 assessed cytokines, only 3 (RANTES, MIG and Eotaxin) were statistically different between groups (p<0.05). In conclusion, some of the selected markers of inflammation are differentially expressed in healthy and periodontitis patients. Cytokine profile analysis may be further explored to distinguish the periodontitis patients from the ones free of disease and also to be used as a measure of risk. The present data, however, are limited and larger sample size studies are required to validate the findings of the specific biomarkers.