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  • Bowman posted an update 9 months ago

    The repercussions of missing teeth were not limited to the child’s image, but also brought changes in families’ daily lives. However, when early tooth loss was due to extraction because of pain and suffering, caregivers perceived the loss as ‘commonplace’ in children’s lives. The understanding of how children see themselves without teeth in their social world for their caregivers, which also includes their family and friends, determines how much experiencing tooth loss affects their lives. Besides, caregivers’ perceptions related to early loss of deciduous teeth should be included in strategies of oral health promotion programs.Numerous studies have reported abnormalities in the development of oral structures in congenital infections that also involve microcephaly. In this context, it is necessary to identify possible dental anomalies of shape and/or number in patients with Zika virus syndrome using radiography. The study population consisted of 35 children born with congenital ZIKV who underwent intraoral radiographic examinations for 24 consecutive months. A modified periapical technique was performed in an occlusal position for the maxilla and mandible. Categorical data were expressed as absolute and percentage frequencies and compared using Pearson’s Chi-square test, with a 95% confidence interval. Of the entire sample, eight children (22.8%) had dental anomalies of shape and/or number, and four children (11.4%) presented with both anomalies, with agenesis of the upper and lower deciduous/permanent incisors and dental form modifications, such as microdontia and anomalous cusps. When we considered age and sex, there was no statistically significant difference between patients who presented with agenesis and those who presented with modifications. Children with congenital Zika virus syndrome were more likely to have dental modifications in the number and shape of their teeth, and it is essential to implement medium- to long-term monitoring to diagnose other possible alterations throughout the development of the mixed and permanent dentition, favoring their treatment.This study aimed to analyze the influence of socioeconomic factors on the frequency of diagnoses of oral mucosal changes and the number of hospitalized patients with oral and oropharyngeal cancer in Brazil. This cross-sectional study analyzed data from all Brazilian cities in the period 2011-2017. The frequency of diagnoses of oral mucosal changes and the number of hospitalized patients of oral and oropharyngeal cancer in Brazil were extracted from the Primary Care Information System (SIAB) and Brazilian National Cancer Institute (INCA) databases. The socioeconomic factors evaluated were the Gini coefficient of inequality, municipal Human Development Index (MHDI), inadequate basic sanitation rate, employment rate, illiteracy rate and expected years of schooling. Associated factors were examined using bivariate Spearman’s correlations and multivariate Poisson regressions, and statistically significant (p less then 0.05) correlations between study variables and regression coefficients were obtained. A higher frequency of diagnoses of mucosal changes was observed in cities with a higher Gini coefficient (B = 11.614; p less then 0.001), higher MHDI (B = 11.298; p less then 0.001), and higher number of hospitalized patients with oral and oropharyngeal cancer (B = 0.001, p less then 0.002). Cities with higher Gini coefficients (B = 8.159, p less then 0.001), higher inadequate basic sanitation rates (B = 0.09, p = 0.001), lower expected years of schooling (B = -0.718, p less then 0.001), and higher illiteracy rates (B = 0.191, p less then 0.001) had a higher frequency of hospitalized patients with oral and oropharyngeal cancer. In conclusion, more developed cities showed a higher frequency of diagnoses of mucosal changes. Greater inequality and worse socioeconomic conditions are associated with a higher frequency of hospitalized patients with oral and oropharyngeal cancer in Brazil.This study analyzed the association between sedentary behavior (SB), unhealthy food consumption, and dental caries amongst 12-year-old schoolchildren. this website An epidemiological survey was carried out in the five largest cities (> 80,000 inhabitants) of the State of Mato Grosso do Sul, Brazil. Data were collected on decayed, missing and filled teeth index (DMFT), sociodemographic characteristics, SB, unhealthy food consumption, and water fluoridation status. The analysis was based on the theoretical framework established by J Sisson. Structural equation models were performed to test the association of dental caries experience with sociodemographic, contextual, and behavioral factors. The mean DMFT index in the five cities was 1.02 (95%CI 0.39-1.66). Higher sedentary behavior (more than 2 hours/day) [standardized coefficient (SC) = 0.21 95%CI 0.07-0.39] and higher unhealthy food consumption (more than 4 times/week) [SC = 0.23 (0.10-0.45)] were associated with higher DMFT index than their counterparts. Also, cities with fluoridated water were associated with lower DMFT index [SC = -0.85 (-1.20–0.50)]. Families who had a per capita income above the poverty line had a direct association with unhealthy food consumption [SC = -0.24 (-0.38–0.11)]. Unhealthy food consumption mediated the association of sedentary behavior on DMFT index [SC=0.07 (0.02-0.13)]. Sensitivity analysis confirmed the findings. Sedentary behavior mediated by unhealthy food consumption had a significant association with dental caries experience. Public policies must address transdisciplinary actions to reduce sedentary behavior and unhealthy food consumption and promote water fluoridation.This study aimed to evaluate the influence of choosing different socioeconomic status indicators in research regarding older adults’ oral health. This is a cross-sectional study that analyzed baseline data from the Brazilian Longitudinal Study on Aging (ELSI-Brazil). The outcomes were edentulism (n = 9,073) and self-reported oral health (n = 9,365). The following socioeconomic indicators were assessed individual income, per capita household income, and wealth index. Poisson regression analysis with robust variance was performed to estimate prevalence ratios (PR), with their respective 95% confidence intervals (CI), after adjusting for socioeconomic and oral health behavior variables. Absolute inequality measures were also estimated. The individual income indicator was not statistically associated with the results after adjustments. When using per capita household income indicator, individuals in the richest quintile showed a 12% lower prevalence of poor self-reported oral health [PR 0.88 (CI 0.78-0.98)], relative to the poorest, and there was no association with edentulism.

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