Association between motor proficiency and oral health in people with intellectual disabilities.

BACKGROUND: People with intellectual disabilities (IDs) may be at increased risk of developing periodontal diseases and dental caries due to poor oral hygiene. Our aim was to investigate motor proficiency factors associated with presence of visible plaque and gingival bleeding in people with IDs. We were particularly interested in the level of dependence, manual coordination and fine manual control of people with ID, as well as the level of exhaustion of the primary caregiver. METHODS: In this cross-sectional study, 299 people with ID were evaluated for oral hygiene using the simplified Visible Plaque Index and for gum inflammation using the Gingival Bleeding Index. The Bruininks-Oseretsky Motor Proficiency Test assessed motor proficiency through fine manual control (fine motor integration and fine motor precision) and manual coordination (manual dexterity and upper limb coordination). The level of dependence was assessed by the Katz dependency index, and the caregiver was tested for exhaustion using the fatigue severity scale. Prevalence ratios [and 95% confidence intervals (CI)] were calculated using crude and adjusted Poisson regression with robust variance. RESULTS: The exhaustion of the caregiver was associated positively to visible plaque [prevalence ratio (PR) = 1.36; 95% CI 1.06-1.65]. For gingival bleeding, people with IDs that had better fine motor integration (PR = 0.49; 95% CI 0.33-0.75) and precision (PR = 0.50; 95% CI 0.26-0.94), as well as manual dexterity (PR = 0.62, 95% CI 0.49-0.77), presented better results. CONCLUSION: Poor oral hygiene and gum inflammation were associated with motor proficiency of people with IDs and caregivers' exhaustion. Interventions to improve the oral health of people with IDs should take into account such conditions.

Added Sugar Consumption and Chronic Oral Disease Burden among Adolescents in Brazil.

Chronic oral diseases are rarely studied together, especially with an emphasis on their common risk factors. This study examined the association of added sugar consumption on "chronic oral disease burden" among adolescents, with consideration of obesity and systemic inflammation pathways through structural equation modeling. A cross-sectional study was conducted of a complex random sample of adolescent students enrolled at public schools in São Luís, Brazil ( n = 405). The outcome was chronic oral disease burden, a latent variable based on the presence of probing depth ≥4 mm, bleeding on probing, caries, and clinical consequences of untreated caries. The following hypotheses were tested: 1) caries and periodontal diseases among adolescents are correlated with each other; 2) added sugar consumption and obesity are associated with chronic oral disease burden; and 3) chronic oral disease burden is linked to systemic inflammation. Models were adjusted for socioeconomic status, added sugar consumption, oral hygiene behaviors, obesity, and serum levels of interleukin 6 (IL-6). All estimators of the latent variable chronic oral disease burden involved factor loadings ≥0.5 and P values <0.001, indicating good fit. Added sugar consumption (standardized coefficient [SC] = 0.212, P = 0.005), high IL-6 levels (SC = 0.130, P = 0.036), and low socioeconomic status (SC = -0.279, P = 0.001) were associated with increased chronic oral disease burden values. Obesity was associated with high IL-6 levels (SC = 0.232, P = 0.001). Visible plaque index was correlated with chronic oral disease burden (SC = 0.381, P < 0.001). Our finding that caries and periodontal diseases are associated with each other and with added sugar consumption, obesity, and systemic inflammation reinforces the guidance of the World Health Organization that any approach intended to prevent noncommunicable diseases should be directed toward common risk factors.

Disparity between dental needs and dental treatment provided.

We hypothesized that more teeth would be treated by fee-for-service dentists than predicted by salaried dentists. In a cohort of 3818 participants, the number of teeth treated was related to the number of teeth with treatment needs by means of a zero-inflated negative binomial model. Among those obtaining dental care within 6 months (study population, n = 1239), the adjusted predicted number of teeth treated was 2 (95%CI = 1.7;2.3) for patients with no treatment needs. The sum of teeth treated by fee-for-service dentists (4374 when considering the whole cohort and 3550 when considering the study population) was much higher than that predicted by salaried dentists (4220 when considering the whole cohort and 1770 when considering the study population). Our findings demonstrate a disparity between dental needs assessment and the dental treatment actually provided.