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Oral Health Surveys: Basic Methods

An International Standard Classification of Education (ISCED).

MicroRNAs (miRNAs) are members of a non-coding RNA family. They act as negative regulators of protein translation by affecting messenger RNA (mRNA) stability; they modulate numerous signaling pathways and cellular processes, and are involved in cell-to-cell communication. Thus, studies on miRNAs offer an opportunity to improve our understanding of complex biological mechanisms. In the cardiovascular system, miRNAs control functions of various cells, such as cardiomyocytes, endothelial cells, smooth muscle cells and fibroblasts. The pivotal role of miRNAs in the cardiovascular system provides a new perspective on the pathophysiology of disorders like myocardial infarction, hypertrophy, fibrosis, heart failure, arrhythmia, inflammation and atherosclerosis. MiRNAs are differentially expressed in diseased tissue and can be released into circulation. Manipulation of miRNA activity may influence the course of a disease. Therefore, miRNAs have become an active field of research for developing new diagnostic and therapeutic tools. This review discusses emerging functions of miRNAs in cardiogenesis, heart regeneration and the pathophysiology of cardiovascular diseases.

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MicroRNA in cardiovascular biology and disease.

Instituto Brasileiro de Geografia e Estatística - Concentração jurídica

The diagnosis of periodontal disease is commonly based on objective evaluations of the patient's medical/dental history as well as clinical and radiographic examinations. However, periodontal disease should also be evaluated subjectively through measures that quantify its impact on oral health-related quality of life. The aim of this study was to evaluate the impact of periodontal disease on quality of life among adolescents, adults and older adults. A systematic search of the literature was performed for scientific articles published up to July 2015 using electronic databases and a manual search. Two independent reviewers performed the selection of the studies, extracted the data and assessed the methodological quality. Thirty-four cross-sectional studies involving any age group, except children, and the use of questionnaires for the assessment of the impact of periodontal disease on quality of life were included. Twenty-five studies demonstrated that periodontal disease was associated with a negative impact on quality of life, with severe periodontitis exerting the most significant impact by compromising aspects related to function and esthetics. Unlike periodontitis, gingivitis was associated with pain as well as difficulties performing oral hygiene and wearing dentures. Gingivitis was also negatively correlated with comfort. The results indicate that periodontal disease may exert an impact on quality of life of individuals, with greater severity of the disease related to greater impact. Longitudinal studies with representative samples are needed to ensure validity of the findings.

Impact of periodontal disease on quality of life: a systematic review

To investigate the association between critical and communicative oral health literacy (OHL) and oral health outcomes (status, oral health-related quality of life and practices) in adults. This cross-sectional study examined a household probability sample of 248 adults, representing 149,635 residents (20–64 years old) in Piracicaba-SP, Brazil. Clinical oral health and socioeconomic and demographic data, as well as data on oral health-related quality of life (OHIP-14) and health practices were collected. The oral examinations were carried out in the participants’ homes, using the World Health Organization criteria for oral diseases. The critical and communicative OHL instrument was the primary independent variable, and it was measured using five Likert items that were dichotomized as ‘high’ (‘agree’ and ‘strongly agree’ responses for the 5 items) and ‘low’ OHL. Binary and multinomial logistic regressions were performed on each outcome (oral health status and practices), controlling for age, sex and socioeconomic status (SES). Approximately 71.5% presented low OHL. When adjusted for age and sex (first model) low OHL was associated with untreated caries (Odds Ratio = 1.92, 95% Confidence Interval = 1.07–3.45), tooth brushing <3 times a day (OR = 2.00, 1.11–3.62) and irregular tooth flossing (OR = 2.17, 1.24–3.80). After SES inclusion in the first model, significant associations were found for low OHL when the outcomes were: presence of biofilm (OR = 1.83, 1.08–3.33), dental care for emergency only (OR = 2.24, 1.24–4.04) and prevalence of oral health impact on quality of life (OR = 2.06, 1.15–3.69). Adjusting for age, sex and SES, OHL is related to a risk factor (biofilm) and a consequence of poor oral health (emergency dental visits) and can interfere with the impact of oral diseases on quality of life. As low OHL can be modified, the results support oral health promotion strategies directed at improving critical and communicative oral health literacy in adult populations.

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Oral health literacy and oral health outcomes in an adult population in Brazil.

The objective of this study was to evaluate the impact of tooth loss on oral health-related quality of life (OHRQoL) in adults with emphasis on the number of teeth lost and their relative position in the mouth. The study population was a cross-sectional household probability sample of 248, representing 149,635 20–64 year-old residents in Piracicaba-SP, Brazil. OHRQoL was measured using the OHIP-14. Socioeconomic, demographic, health literacy, dental services use data and clinical variables were collected. Oral examinations were performed using WHO criteria for caries diagnosis, using the DMFT index; that is, the sum of decayed, missing and filled teeth (DMFT). An ordinal scale for tooth loss, based on position and number of missing teeth, was the main explanatory variable. The total OHIP score was the outcome for negative binomial regression and OHIP prevalence was the outcome for logistic regression at 5% level. A hierarchical modeling approach was adopted according to conceptual model. OHIP score was 10.21 (SE 1.16) with 48.1% (n=115) reporting one or more impacts fairly/very often (OHIP prevalence). Significant prevalence rate ratios (PRRs) for OHIP severity were observed for those who had lost up to 12 teeth, including one or more anterior teeth (PRR=1.63, 95%CI 1.06–2.51), those who had lost 13–31 teeth (PRR=2.33, 95%CI 1.49–3.63), and the edentulous (PRR=2.66, 95%CI 1.55–4.57) compared with fully dentate adults. Other significant indicators included those who only sought dental care because of dental pain (PRR=1.67, 95%CI 1.11–2.51) or dental needs (PRR=1.84, 95%CI 1.24–2.71) and having untreated caries (PRR=1.57 95%CI 1.09–2.26). Tooth loss was not significantly associated with OHIP prevalence; instead using dental services due to dental pain (PR=2.43, 95%CI 1.01–5.82), having untreated caries (PR=3.96, 95%CI 1.85–8.51) and low income (PR=2.80, 95%CI 1.26–6.42) were significant risk indicators for reporting OHIP prevalence. Our analyses showed OHRQoL gradients consistent with the number and position of teeth missing due to oral disease. These findings suggest that the quantity of teeth lost does not necessarily reflect the impact of tooth mortality on OHRQoL and that future studies should take this into consideration.

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Impact of tooth loss related to number and position on oral health quality of life among adults

This study investigated the impacts of oral health-related quality of life (OHRQoL) on daily activities and work productivity in adults. A cross-sectional study was conducted in a supermarket chain in the state of Sao Paulo, which included 386 workers, age-range 20 - 64 years. Participants were examined for oral disease following WHO recommendations, and the oral health impact profile (OHIP) assessment was used to determine OHRQoL. Demographic, socio-economic, use of dental services, and OHRQoL data were obtained. Answers to the OHIP were dichotomized into no impact and some impact, and the relationship to OHRQoL was determined. Poisson regression with robust variance was performed using SPSS version 17.0. Dimensions with highest OHIP scores were physical pain and psychological discomfort. Sex (male: PR = 0.55, 95% CI 0.38 - 0.80), lower family income (PR = 1.49, 95% CI 1.04 - 2.12), visiting a dentist due to pain (PR = 2.14, 95% CI 1.57 - 3.43), tooth loss (PR = 1.59, 95% CI 1.09 - 2.32), and needing treatment for caries (PR = 1.59, 95% CI 1.09 - 2.32) were most likely to impact OHRQoL. Therefore, socioeconomic and demographic status and use of dental services impacted OHRQoL. These results indicate that oral health promotion strategies should be included in work environments.

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The impacts of oral health on quality of life in working adults.

Tooth loss continues to be a prevalent condition in Brazilian adults and elderly individuals. The aim of this cross-sectional study, conducted among workers in a wholesale grocery chain in the State of Sao Paulo, was to identify risk indicators for tooth loss in adults. The presence of caries and periodontal status were examined in 387 adults aged 20-64 years, according to World Health Organization criteria. Two outcomes were analyzed: loss of one or more teeth, and loss of four or more teeth. Independent variables analyzed were demographic and socioeconomic factors, clinical conditions, use of dental services, and self-perceived oral health. Poisson regression models were used for multivariate statistical analysis. Participants were missing a mean of 5.38 teeth, and 76.9% (n = 297) had lost at least one tooth; the most frequently lost teeth were permanent molars. Older age and the presence of visible dental biofilm were associated significantly with the two tooth loss outcomes (p < 0.05). Individuals who had visited the dentist 3 or more years previously showed a lower prevalence of tooth loss (prevalence ratio = 0.79; 95% confidence interval, 0.68-0.91). Those with lower household incomes were significantly more likely to have lost four or more teeth (prevalence ratio = 1.35; 95% confidence interval, 1.07-1.70). Study results indicated that age and dental biofilm were risk indicators for tooth loss, independently of socioeconomic factors. These risk indicators should be considered when planning oral health programs for adults.

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Risk indicators for tooth loss in adult workers

Oral disorders may negatively affect the quality of life (QoL) of adolescents. To investigate how social vulnerability and oral-health status factors affect QoL in 15–19 years olds who participated in the “SB Sao Paulo 2015” state survey. The relationship of several independent variables, namely Paulista Social Vulnerability Index (PSVI) score, gender, skin color, family income, age, untreated caries, tooth loss [determined by the Decayed, Missing, Filled-Teeth (DMF-T) index], toothache, periodontal condition [determined by the Community Periodontal Index (CPI)], and malocclusion (maxillary overjet, cross bite, or open bite) affect daily life, measured by the Oral Impacts on Daily Performance (OIDP) instrument. Logistic regression analyses were carried out based on a hierarchical model. The final sample consisted of 5402 adolescents. The prevalence of at least one negative impact of oral health on QoL was 37.3%. After adjustment, demographic factors that were found to influence this impact significantly (p < 0.01) were female gender [odds ratio (OR) 1.78, 95% confidence interval (CI) = 1.59–2.0], non-white skin color (OR 1.66, 95% CI = 1.47–1.88), and a low family income (OR 1.28, 95% CI = 1.28–1.29). Additionally, oral conditions associated with oral health impact on QoL included the presence of at least one untreated tooth decay lesion (OR 1.42, 95% CI = 1.25–1.61), loss of at least one tooth (OR 1.49; 95% CI = 1.25–1.78), toothache (OR 4.87, 95% CI = 4.25–5.59), bleeding on probing (OR 1.45, 95% CI = 1.25–1.68), and severe maxillary overjet (OR 1.68, 95% CI = 1.15–2.45). Social vulnerability (PSVI score) was not associated with the OIDP score, but oral health conditions and socio-demographic variables, including gender, skin color, and income, were found to affect adolescents’ daily activities. Strategies that consider the perceptions of this segment of the population should be implemented to strengthen their autonomy and totality of care.

https://link.springer.com/content/pdf/10.1186/s12955-017-0746-1.pdf

Marília Jesus Batista

Papers

Oral health literacy and oral health outcomes in an adult population in Brazil.

Impact of tooth loss related to number and position on oral health quality of life among adults

The impacts of oral health on quality of life in working adults.

Risk indicators for tooth loss in adult workers

Social vulnerability and factors associated with oral impact on daily performance among adolescents