PERFIL EPIDEMIOLÓGICO DAS ALTERAÇÕES BUCAIS NA POPULAÇÃO BRASILEIRA: REVISÃO INTEGRATIVA DE LITERATURA

O objetivo deste estudo é identificar o perfil epidemiológico das condições orais da população brasileira a partir dos dados do último Levantamento Epidemiológico Nacional de Saúde Bucal realizado em 2010 (SB BRASIL 2010), tendo-se também, como base comparativa, os levantamentos realizados nos anos anteriores (1986, 1996 e 2003). Realizou-se a estratégia de busca nas bases de dados de periódicos científicos no Scielo, PubMed, LILACS e Biblioteca Virtual em Saúde (BVS), com palavras-chave devidamente cadastradas nos Descritores em Ciências da Saúde. Os resultados observados em relação às doenças bucais e regiões se caracterizam pela maior prevalência de cárie e edentulismo (necessidade de prótese) nas regiões Norte e Nordeste, em crianças e idosos, respectivamente; sobre a doença periodontal, a maior prevalência é nas regiões Norte e Sudeste, em adultos; a fluorose, no Sudeste; a má-oclusão, nas regiões Nordeste e Sul, aos 5 anos; o traumatismo dentário, nas regiões Norte e Centro-Oeste e o câncer bucal nas regiões Sul e Sudeste, em adultos e idosos. Levantamentos epidemiológicos que englobam a manifestação clínica das desordens bucais mais prevalentes estabelece subsídios para ações específicas ao público-alvo, sedimentando a promoção de saúde bucal na população brasileira

Associated Factors With Self-reported Systemic Arterial Hypertension and Diabetes in Brazilian Older Adults: Populational-Based Cross-Sectional Study

Objective: This cross-sectional study aimed to assess the prevalence and associated factors of Systemic Arterial Hypertension (SAH) and Diabetes Mellitus (DM) in older adults.Materials and Methods: Self-reported SAH and DM (outcomes) were obtained through a structured questionnaire. This questionnaire also collected the independent variables (sociodemographic characteristics, use of medication and access to the oral health service). Obesity, physical activity, and tooth loss were assessed using validated instruments. Crude and adjusted Poisson regression with a robust error variance were performed to determine the prevalence ratio (PR) and 95% confidence interval (CI).Results: A total of 282 older adults were included, with the prevalence of 71.28% and 21.63% for SAH and DM, respectively. SAH was significantly associated with increase in the individuals’ age (PR:1.01; 95%CI:1.00–1.02) and the positive diagnosis for obesity (PR:1.24; 95%CI:1.09–1.43). Those that do not use drugs for other conditions  (PR:0.74; 95%CI:0.60–0.71) presented significantly lower PR for SAH. Non-sedentary older adults have the lower RP of DM (PR: 0.42; 95%CI: 0.24–0.74).Conclusions: A high prevalence of SAH and DM was observed among the older adults, and the main associated factors were mainly related to demographic characteristics, general health and behavioral habits

Variação de pH, salinidade e temperatura viabilizantes para estabelecimento do Vibrio cholerae nas águas portuárias da cidade do Rio de Janeiro, Brasil

Introdução: O Vibrio cholerae toxigênico, causador da cólera, possui tolerância ambiental definida quanto ao pH, temperatura e salinidade, o que não o impede de entrar em estado viável, mas não cultivável (VNC), quando as faixas destes parâmetros não lhe são propícias. As zonas portuárias são áreas vulneráveis de introdução do patógeno, devido ao aporte de efluentes urbanos e descarte de água de lastro. Objetivo: O trabalho avaliou se as águas portuárias da cidade do Rio de Janeiro apresentam condições de pH, salinidade e temperatura que possibilitam o estabelecimento do microrganismo. Método: Foram realizadas 22 campanhas de monitoramento em nove pontos, no período de março de 2017 a fevereiro de 2018, buscando sempre diferentes condições climáticas e de maré. Resultados: A maré apresentou ligeira influência na salinidade, enquanto o clima interagiu com todos os fatores. A temperatura e o pH se mantiveram dentro da faixa considerada ótima para o estabelecimento do patógeno, enquanto a salinidade se apresentou, na maioria das vezes, fora da variação ideal. Conclusões: Analisando somente estes fatores, podemos sugerir que, caso estes padrões se mantenham, a região apresenta um risco de sobrevida do microrganismo

Salivary characteristics may be associated with burning mouth syndrome?

Burning mouth syndrome (BMS) it is characterized by burning and uncomfortable sensations with no clinical alterations or laboratory findings. The evaluation of the salivary characteristics of people with BMS can help the understanding of the pathogenesi

Fatores associados à redução de atendimentos odontológicos na Atenção Primária à Saúde no Brasil, com o surgimento da COVID-19: estudo transversal, 2020

Objective: To analyze the associated factors of reductions for dental visits performed in Primary Health Care (PHC) in Brazil during COVID-19 pandemic. Methods: Crosssectional study with PHC dentists. The outcome was a reduction in dental care appointments and that the exposure variables included sociodemographic factors, aspects about personal protective clothing and equipment (PPE) and measures adopted by the Basic Health Unit (UBS) in Brazil after the appearance of COVID. Poisson regression was performed, used to determine the prevalence ratio and 95% confidence interval. Results: Reduction in visits above 50% after the onset of the pandemic was reported by 62.6% of 958 participating. Biosafety protocols (PR=1.04 – 95%CI 1.01;1.07), PPE suggested by the protocols (PR=0.94 – 95%CI 0.89;0.99), and telescreening (PR=0.90 – 95%CI 0.85;0.96) were factors associated with this reduction. Conclusion: The availability of the new PPE and the implementation of telescreening at UBS seem to have minimized the reduction in dental care after the onset of the pandemicObjetivo: Analizar factores asociados a la reducción de consultas odontológicas en Atención Primaria de Salud (APS) en Brasil durante COVID-19. Métodos: Estudio transversal con dentistas de APS. El hecho investigado fue reducción de consultas odontológicas y las variables de exposición incluyeron factores sociodemográficos, aspectos de los equipos de protección personal (EPI) y las medidas adoptadas por la Unidad Básica de Salud (UBS) tras la aparición del COVID. Regresión de Poisson utilizada para determinar la razón de prevalencia y el intervalo de confianza del 95%. Resultados: El 62,6% de los 958 participantes informó una reducción en la asistencia superior al 50% después del inicio de la pandemia. La adopción de protocolos (RP=1,04 – IC95% 1,01;1,07), disponibilidad de EPI recomendado por los nuevos protocolos (RP=0,94 – IC95% 0,89;0,99) y la adopción de televaluación (RP=0,90 – IC95% 0,85;0,96) fueron factores que se asoció con esta reducción. Conclusión: La disponibilidad del nuevo EPP y la implementación de la teleprotección en UBS parecen haber minimizado la reducción en la atención dental después del inicio de la pandemia.Objetivo: Analisar fatores associados à redução de atendimentos odontológicos na Atenção Primária à Saúde, durante pandemia de COVID-19 no Brasil. Métodos: Estudo transversal, com cirurgiões-dentistas das unidades básicas de saúde (UBS). O desfecho foi a redução dos atendimentos odontológicos, e as variáveis de exposição, dados sociodemográficos, disponibilidade de equipamentos de proteção individual (EPIs) e medidas adotadas pela UBS na pandemia. Realizou-se regressão de Poisson para determinar razão de prevalências e intervalo de confiança de 95%. Resultados: A redução de atendimentos acima de 50% após o início da pandemia foi relatada por 62,6% dos 958 participantes. Adoção de protocolos de biossegurança (RP=1,04 – IC95% 1,01;1,07), disponibilidade de EPI preconizados por novos protocolos (RP=0,94 – IC95% 0,89;0,99) e adoção da teletriagem (RP=0,90 – IC95% 0,85;0,96) estiveram associados à redução. Conclusão: A disponibilização dos novos EPIs e a implementação da teletriagem nas UBS parecem ter minimizado a redução dos atendimentos odontológicos após o início da pandemia

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost