The overweight children had more erupted teeth and a lower caries index. The complex relationships between body composition and oral health should be considered in pediatric patients.

Objectives: The aim of this study was to identify changes in the oral environment with clinical, salivary and bacterial risk markers after placement of fixed orthodontic appliances on permanent dentition. Material and Methods: With ethical approval, we used different techniques to analyzed clinical, salivary and bacterial risk markers in 34 patients (mean age, 16.7 ± 5.2 years), 14 males and 20 females; before starting orthodontic treatment and 1 month after. Clinical risk markers (decayed, missing, and filled surfaces [DMFS], O'Leary´s plaque index, and plaque pH); salivary markers (unstimulated and stimulated saliva flow rate, buffer capacity, pH, and occult blood in saliva) and bacterial counts (Streptococcus mutans and Lactobacillus). Data were analyzed by paired t-test and χ 2 test. Results: This study showed that orthodontic appliances increased the stimulated salivary flow rate (p=0.0001), buffer capacity (p=0.0359), salivary pH (p=0.0246) and occult blood in saliva (p=0.0305). Bacterial levels increased slightly after 1 month of treatment, without statistical significance. Between genders, initially we observed differences in: stimulated saliva (p=0.0019), buffer capacity (p=0.0381) and plaque pH (p=0.0430); after treatment the unstimulated saliva (p=0.0026) showed differences. Conclusions: Orthodontic treatment changes the oral environmental factors, promotes an increase in stimulated flow rate, buffer capacity and salivary pH, which augment the anti caries activity of saliva. In contrast, increased occult blood indicated more gingival inflammation, apparently because augmented the retentive plaque surfaces and the difficult to maintain a good oral hygiene, rinsed the bleeding in saliva by periodontal damage.

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Excess body fat indicators were associated with bleeding on probing and dental calculus in adolescents. The relationship between overweight/obesity and periodontal status in adolescents should be considered in oral health preventive programs.

Background: Professional truck drivers are at high risk of chronic diseases. Further examination of tobacco use and its impact on oral health is warranted – both in terms of the direct association between tobacco use and poor oral health, and in terms of tobacco use being an indicator of poor health behaviors. Objective: To estimate the possible association between smoking and dental caries experience in a population with high tobacco use. Methods: Drivers’ licenses are periodically re-issued by the Mexican government and as part of the licensing process a physical exam takes place. We administered a free, standardized questionnaire together with an oral examination (WHO criteria) included in the physical exam, targeting a random sample of applicants in Mexico City. Results: A total of 824 dentate males (mean age 35.5 ± 10 years) took part in the study, of whom 49.2% were current smokers and 23.2% were former smokers. Caries experience was mean DMFT 8.95 (± 6.05). Only 18.0% of participants had ‘excellent’ or ‘good’ oral hygiene. The prevalence of ‘large’ cavities increased as the number of cigarettes/day increased from 14.6% (1–3 cigarettes/day) to 33.3% (≧10 cigarettes/day). Using multiple linear regressions, we found that older age, poorer oral hygiene, higher education, and greater tobacco exposure were significantly associated with higher caries experience (DMFT). An interaction was observed with oral hygiene and tobacco: drivers that smoked and had ‘poor’ oral hygiene showed the highest number of large cavities and missing teeth. Health promotion interventions are needed in this at-risk population group.

Objective: To identify adolescents’ self-perception of dental fluorosis from two areas with different socioeconomic levels. Methods: A cross-sectional, descriptive study was conducted with 15-year-old youths by applying a questionnaire designed and validated to assess self-perceptions of dental fluorosis in two areas with different socioeconomic statuses (SESs). Fluorosis was clinically evaluated by applying the Thylstrup and Fejerkov (TF) index on the upper front teeth. Results: A total of 308 adolescents were included in the study. The medium-SES population, which was exposed to 2.5 ppm of fluoride in water, and the low-SES population, which was exposed to 5.1 ppm, presented the following levels of dental fluorosis: TF 2–3 (50%), TF 4–5 (45.6%) and TF 6–7 (4.4%) for medium SES and TF 2–3 (12.3%), TF 4–5 (67.1%) and TF 67 (20.6%) for low SES. A significant association was found between self-perception and dental fluorosis in those with medium and low SESs (p < 0.05). The multiple regression model found differences between TF levels and self-perception, with a 6–7 TF level for concerns about color (OR = 1.6), smile (OR = 1.2) and appearance (OR = 3.36). Conclusions: Self-perceptions of dental fluorosis affect adolescents such that adolescents with a medium SES have more negative perceptions than those with a low SES. Such perceptions increase as the TF index increases.

To determine the treatment needs and the care index for dental caries in the primary dentition and permanent dentition of schoolchildren and to quantify the cost of care that would represent the treatment of dental caries in Mexico. A secondary analysis of data from the First National Caries Survey was conducted, which was a cross-sectional study conducted in the 32 states of Mexico. Based on dmft (average number of decayed, extracted, and filled teeth in the primary dentition) and DMFT (average number of decayed, extracted, and filled teeth in permanent dentition) information, a treatment needs index (TNI) and a caries care index (CI) were calculated. At age 6 , the TNI for the primary dentition ranged from 81.7% to 99.5% and the CI ranged from 0.5% to 17.6%. In the permanent dentition, the TNI ranged from 58.8% to 100%, and the CI ranged from 0.0% to 41.2%. At age 12 , the TNI ranged from 55.4% to 93.4%, and the CI ranged from 6.5% to 43.4%. At age 15 , the TNI ranged from 50.4% to 98.4%, and the CI ranged from 1.4% to 48.3%. The total cost of treatment at 6 years of age was estimated to range from a purchasing power parity (PPP) of USD $49.1 to 287.7 million in the primary dentition, and from a PPP of USD $3.7 to 24 million in the permanent dentition. For the treatment of the permanent dentition of 12-year-olds, the PPP ranged from USD $13.3 to 85.4 million. The estimated cost of treatment of the permanent dentition of the 15-year-olds ranged from a PPP of USD $10.9 to 70.3 million. The total estimated cost of caries treatment ranged from a PPP of USD $77.1 to 499.6 million, depending on the type of treatment and provider (public or private). High percentages of TNI for dental caries and low CI values were observed. The estimated costs associated with the treatment for caries have an impact because they represent a considerable percentage of the total health expenditure in Mexico.

In addition to the initial caries experience, tooth morphology and Snyder test proved to be useful predictors for caries. These three risk markers may be particularly useful in targeting caries prevention efforts in developing countries.