Relação de indicadores antropométricos com fatores de risco para doença cardiovascular em adultos e idosos de Rio Branco, Acre

OBJECTIVE: To analyze the association between anthropometric variables and cardiovascular risk factors in adults and older adults of Rio Branco, Acre. METHODS: A population-based cross-sectional study with 641 adults and 957 older adults was conducted. The statistical analyses consisted of the distribution of anthropometric variables according to the cardiovascular risk factors by frequency and dispersion measures. Pearson’s correlation coefficient and prevalence ratios (PR) were estimated with their respective 95% confidence intervals (95%CI) using the SPSS® version 20.0. RESULTS: Moderate correlations were obtained in adult men for waist-hip ratio and total cholesterol (r = 0.486; p < 0.001) and for waist-hip and triglyceride ratios (r = 0.484; p < 0.001). The highest prevalence of hypertension and diabetes in adults were observed in men; in the older adults, the prevalence of hypertension was above 65% in both sexes. The prevalence of dyslipidemia was above 78% in obese adults and older adults. When analyzing the associations, a higher strength of association was found between arterial hypertension and waist-to-stature ratio (PR = 13.42; 95%CI 12.58–14.31) and body mass index greater than 30 kg/m2 (PR = 6.61; 95%CI 6.34–6.89) in adult men. In the analysis of diabetes, the waist-hip ratio presented greater robustness in the association for women (PR = 7.53; 95%CI 6.92–8.20) and men (PR = 9.79; 95%CI 9.14–10.49). CONCLUSION: Anthropometric variables are important predictors of cardiovascular risk; however, their assessments should be performed independently, according to sex and age group.OBJETIVO: Analisar a associação entre variáveis antropométricas e os fatores de risco cardiovascular na população de adultos e idosos de Rio Branco, Acre. MÉTODOS: Estudo transversal de base populacional com 641 adultos e 957 idosos. As análises estatísticas consistiram na distribuição das variáveis antropométricas segundo os fatores de risco cardiovascular por medidas de frequência e dispersão. Foram calculadas a correlação de Pearson e razões de prevalência (RP) com seus respectivos intervalos de confiança de 95% (IC5%), empregando as rotinas do SPSS® versão 20.0. RESULTADOS: Correlações moderadas foram obtidas nos adultos homens para relação cintura-quadril e colesterol total (r = 0,486; p < 0,001) e para relação cintura-quadril e triglicerídeos (r = 0,484; p < 0,001). As maiores prevalências de hipertensão arterial e diabetes nos adultos foram observadas nos homens; já nos idosos, as prevalências de hipertensão ficaram acima de 65% em ambos os sexos. As prevalências de dislipidemia ficaram acima de 78% nos indivíduos obesos adultos e idosos. Ao analisar as associações, constatou-se maior força de associação entre hipertensão arterial e relação cintura-estatura (RP = 13,42; IC95% 12,58–14,31) e com índice de massa corporal maior que 30 kg/m2 (RP = 6,61; IC95% 6,34–6,89) nos homens adultos. Na análise para diabetes, a relação cintura-quadril apresentou maior robustez na associação para mulheres (RP = 7,53; IC95% 6,92–8,20) e homens (RP = 9,79; IC95% 9,14–10,49). CONCLUSÃO: As variáveis antropométricas são importantes preditores de risco cardiovascular; no entanto, suas avaliações devem ser feitas de forma independente, segundo sexo e grupo etário

Complication of acute Otitis media in pediatrics: a case report: Complicação de Otite média aguda em pediatria: um relato de caso

The acute otitis media (AOM) is a frequent bacterial infection in Pediatrics. Despite the advance of antibiotic therapy in the treatment of this infection, there is the possibility of a rare complication, Gradenigo Syndrome (GS). This is a serious complication that should be suspected in a patient with abducens nerve paralysis, pain in the trigeminal innervation area and AOM. The objective of this work was to describe a case report in pediatric regarding to Gradenigo’s Syndrome and reinforce the importance of early diagnosis in the treatment. In addition, a literature review of articles in journals indexed in the following databases was carried out: Pubmed, Lilacs and Scielo. The case report presented is a 7-year-old girl, presenting a typical clinical of GS that evolved satisfactorily with the management based on broad-spectrum antibiotic therapy, without the need for a subsequent surgical approach. Thus, it is clear that the identification of the classic triad of GS, in addition to performing imaging tests, allows for an early diagnosis of the disease, favoring a conservative approach with antibiotic therapy

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

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