Perímetro do pescoço como preditor de níveis de vitamina D em adolescentes / Perimeter of the neck as a predictor of vitamin D levels in adolescents

Objetivo: Determinar a frequência de deficiência de vitamina D e sua relação com medidas antropométricas de adiposidade em adolescentes atendidos em um ambulatório de um Hospital Universitário no Rio de Janeiro.Métodos: Estudo transversal realizado com 125 adolescentes brasileiros com idade entre 12 e 18 anos. A concentração sérica de vitamina D foi classificada como deficiente quando < 20 ng/mL. Foram realizadas medidas de peso, estatura, perímetro do pescoço, perímetro da cintura e relação cintura estatura. A correlação entre variáveis de interesse foi realizada através do coeficiente de correlação de Pearson. As análises de regressão linear indicaram associação da hipovitaminose D com a adiposidade. Todas as análises estatísticas usaram um erro alfa de 5%. Resultados: A prevalência de Hipovitaminose D foi de 41,6% e 48% dos adolescentes foram classificados como obesos. Adolescentes com deficiência de vitamina D apresentaram maior média do perímetro do pescoço e do perímetro da cintura. O perímetro do pescoço foi associado a vitamina D mesmo após análise ajustada. Conclusão: A Hipovitaminose D é altamente prevalente. O perímetro do pescoço foi associado a baixos níveis de vitamina D em adolescentes.

Edentulismo e Disfunção Temporomandibular (DTM) em idosos: uma breve atualização: Edentulism and Temporomandibular Dysfunction (TMD) in the elderly: a brief update

Com o crescimento da população de idosos no Brasil e no mundo, surgiram os problemas crônicos relacionados ao aumento da idade, como a perda de dentes e suas conseqüências, dentre elas, a disfunção temporomandibular (DTM), que apresenta dores e pode afetar a qualidade de vida. O objetivo deste trabalho foi realizar uma breve revisão de literatura integrativa, referente ao tema DTM e edentulismo em idosos. A busca foi realizada no mês de junho de 2022, a partir de artigos disponíveis livremente no National Center for Biotechnology Information- NCBI (PubMed), publicados nos últimos 10 anos. Foram incluídos artigos referentes a idosos acima de 60 anos, na língua inglesa, relacionados ao tema DTM e edentulismo (total e parcial). Foram excluídos estudos de revisão simples de literatura, estudos in vitro e em animais, e estudos que não incluíam a faixa etária acima de 60 anos. Um total de oito artigos preencheu os critérios estabelecidos, sendo todos estudos transversais. Foi verificado que as mulheres foram mais afetadas pela DTM e que, quanto menor a quantidade dentária, pior é o quadro de DTM. A necessidade de uso de próteses também pode afetar a qualidade de vida do indivíduo, causando alterações psicológicas. Além disso, edêntulos não usuários de próteses podem apresentar pior sintomatologia de DTM. Entre os usuários de próteses, o tempo de uso (superior a cinco anos), a qualidade do aparelho protético (má adaptação, estabilidade e retenção insatisfatórias) e a presença de hábitos parafuncionais também podem influenciar negativamente na sintomatologia da DTM, com agravamento dos sinais e sintomas

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

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Dyslipidemia in Adolescents Seen in a University Hospital in the city of Rio de Janeiro/Brazil: Prevalence and Association

Abstract Background: Early exposure to obesity favors greater risks of cardiovascular factors such as dyslipidemia. Objectives: To establish the prevalence of dyslipidemia, and to evaluate its association with nutritional status of the adolescents attended at the ambulatory of the Adolescent Health Studies Center of the University Hospital Pedro Ernesto. Methods: This is a cross-sectional, observational study, the sample of which was of convenience, consisting of adolescents from 12 to 18 years old of both genders. The lipid profile was evaluated, along with its association with the anthropometric indicators: body mass index and waist circumference. For statistical analysis, a significance level of 5% was used. Results: A total of 239 adolescents, 104 boys (43.5%) and 135 girls (56.5%) were evaluated and, of these, 52 (21.8%) were eutrophic, 60 (25.1%) overweight, and 127 (53.1%) obese. Obeseadolescents had significantly lower mean values of HDL-cholesterol (44.7 mg/dl vs 53.9 mg/dl; p < 0.001) and higher triglycerides (109.6 mg/dl vs 87.3 mg/dl; p = 0.01). The changes with higher prevalence were low HDL-cholesterol (50.6%), hypercholesterolemia (35.1%), and hypertriglyceridemia (18.4%). A negative association of HDL-cholesterol with body mass index and a positive association of triglycerides with body mass index could be observed, even after adjustment for gender and skin color. Conclusion: This study demonstrated high prevalence of dyslipidemia among adolescents. In view of the significant association between lower levels of HDL-cholesterol and increased triglycerides with overweight, the control of these factors should receive attention, with the precocious diagnosis of the dyslipidemia being important, mainly if it is associated with another cardiovascular risk, to develop effective intervention strategies

Núcleos de Ensino da Unesp: artigos 2010: volume 4: as disciplinas escolares, os temas transversais e o processo de educação

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP

Núcleos de Ensino da Unesp: artigos 2013: volume 2: metodologias de ensino e a apropriação de conhecimento pelos alunos

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP