Relations between sleep patterns, perceived health and socioeconomic variables in a sample of community resident elders - PENSA study

O padrão de sono se destaca por estar entre as mais frequentes queixas dos idosos. Mudanças na velhice podem ser observadas em diversos níveis da arquitetura e qualidade do sono. Assim, o objetivo do presente estudo foi observar a relação entre alterações do sono associadas à idade, sintomas de insônia, sintomas de apnéia e sintomas de parassonia com variáveis socioeconômicas e saúde autopercebida. O padrão de sono foi avaliado pelo Mini-Sleep Questionary. Os resultados apontaram que as mulheres e o grupo com menor escolaridade apresentaram maior frequência de sintomas de insônia, os idosos-idosos e o grupo com melhor percepção da saúde apresentaram menor frequência de sintomas apnéicos, e melhor percepção da saúde geral associou-se a melhor padrão de sono. Conclui-se que o padrão do sono é influenciado por características socioeconômicas como idade, gênero, escolaridade e saúde geral percebida3725256Changes in sleep pattern constitute a common complaint among elders. Age-related changes can be observed in different levels of the architecture and quality of sleep. The objective of the present study was to observe the relation between age-related sleep changes, insomnia symptoms, apnea symptoms, parasomnia symptoms with socio-economic variables and perceived health status. Sleep pattern was evaluated using the Mini-Sleep Questionnaire. Results indicated that women and individuals with lower education reported higher frequency of insomnia symptoms, the elder-elder group. On the other hand, individuals with higher perceived health status presented lower frequency of apnea symptoms, and higher perceived health status was associated to better sleep pattern overall. It can be concluded that sleep pattern is associated to socio-economic variables such as age, gender, education and perceived health

Moderators of the stress effects on caregiver's self-perceived health

O objetivo do presente estudo foi examinar se percepção de benefícios no cuidar de idosos e religiosidade poderiam atuar como variáveis mediadoras na relação entre estresse do cuidador, saúde auto-percebida e tensão emocional relatada. A amostra consistiu de 345 cuidadores com idade variando entre 64 e 88 anos (M= 42,35; DP= 5,2), integrantes do Caregiver’s Health Effect Study, um dos componentes do Cardiovascular Health Study. O método de path análise identificou que, como esperado, o estresse das demandas ambientais apresentou uma relação indireta com saúde física percebida dos cuidadores. Religiosidade e estresse das demandas ambientais foram mediados pela percepção de benefícios na atividade de cuidar de idoso, resultando na diminuição da tensão emocional, a qual teve relação direta com saúde percebida. Nos grupos de baixo nível educacional, especificamente, encontrou-se que religiosidade teve um efeito direto sobre saúde auto-percebida. Os resultados sugerem assim que um importante foco na intervenção com cuidadores seria a percepção de benefícios na atividade de cuidar de idosos, devido a sua função protetora na saúde física e emocional.   Palavras-chave: cuidadores de idosos; estresse; percepção da saúde.The purpose of this study was to examine whether perceived benefits of caregiving and religiosity could mediate the relationship between caregiver stress and emotional strain on self-perceived health. The sample consisted of 345 caregivers between 64 and 88 years old (M= 42,4; SD= 5,2), from the Caregiver’s Health Effect Study, one of the Cardiovascular Health Study components. Path analysis method identified that, as expected, stress of environmental demand had an indirect impact on selfperceived health. Religiosity and stress of environmental demands were mediated by perceived benefits in caregiving, further reducing emotional strain which had a direct impact on self-perception health. In the low socioeconomic status group, specifically, had been found direct effect of religiosity on self-perceived health. Thus, the results suggest that an important scope of intervention with caregivers it would be the perceived benefits in caregiving activities, due to its protective function in the physical and emotional health.Keywords: caregiving; stress; perceived-health

Performance of the elderly in the CERAD cognitive battery: relations with socio-demographic variables and perceived health

O objetivo do estudo foi avaliar o desempenho de idosos em testes cognitivos da bateria CERAD e sua relação com variáveis sociodemográficas e saúde percebida. Foram estudados 158 idosos integrantes do estudo PENSA (Processo do Envelhecimento Saudável). A média de idade foi de 70,2 anos ( DP=8,2) e a média de escolaridade de 7 anos ( DP =4). O melhor desempenho cognitivo, na maior parte dos testes, esteve associado a mais anos de escolaridade, menor idade e viver com companheiro. No teste de nomeação, observou-se melhor desempenho entre os homens, e melhor desempenho nos testes de memória esteve associado com melhor saúde percebida. Concluiu-se que escolaridade, idade, gênero, estado civil e saúde geral percebida implicaram diferenças significativas no desempenho cognitivo dos idosos.CERAD cognitive battery and its relation with socio-demographic variables and perceived health. The sample was composed by 158 community-dwelling elderly people who participated in the PENSA study (Study of Healthy Aging Process). Ages varied from 60 to 99 years old ( M=70.2; SD=8.2); with an average of seven years of education ( SD =4). Higher cognitive performance was associated with higher education, lower age, and having a partner. In the naming test, men outperformed women whereas higher memory performance was associated with better perceived health among women. It was concluded that education, age, gender, marital status and perceived health may be associated to variability in cognitive performance among elderly people

Performance of the elderly in the CERAD cognitive battery: relations with socio-demographic variables and perceived health

O objetivo do estudo foi avaliar o desempenho de idosos em testes cognitivos da bateria CERAD e sua relação com variáveis sociodemográficas e saúde percebida. Foram estudados 158 idosos integrantes do estudo PENSA (Processo do Envelhecimento Saudável). A média de idade foi de 70,2 anos ( DP=8,2) e a média de escolaridade de 7 anos ( DP =4). O melhor desempenho cognitivo, na maior parte dos testes, esteve associado a mais anos de escolaridade, menor idade e viver com companheiro. No teste de nomeação, observou-se melhor desempenho entre os homens, e melhor desempenho nos testes de memória esteve associado com melhor saúde percebida. Concluiu-se que escolaridade, idade, gênero, estado civil e saúde geral percebida implicaram diferenças significativas no desempenho cognitivo dos idosos231102109CERAD cognitive battery and its relation with socio-demographic variables and perceived health. The sample was composed by 158 community-dwelling elderly people who participated in the PENSA study (Study of Healthy Aging Process). Ages varied from 60 to 99 years old ( M=70.2; SD=8.2); with an average of seven years of education ( SD =4). Higher cognitive performance was associated with higher education, lower age, and having a partner. In the naming test, men outperformed women whereas higher memory performance was associated with better perceived health among women. It was concluded that education, age, gender, marital status and perceived health may be associated to variability in cognitive performance among elderly peopl

O impacto da pandemia de COVID-19 frente a incidência de feminicídio / The impact of the COVID-19 pandemic on the incidence of femicide

Objetivo: Analisar a literatura científica sobre o impacto da pandemia de COVID-19 frente a incidência de feminicídio. Métodos: Trata-se de uma revisão integrativa, realizada no período de junho de 2021 com o intuito de promover uma sustentação teórica com base na literatura. Os artigos foram resgatados nas bases de dados: MEDLINE via PUBMED, SCIELO, LILACS, Cochrane, Portal do Capes. Resultados: Dos 72 artigos encontrados, 28 encontravam-se repetidos, 39 foram excluídos por fuga ao tema artigos e 5 foram incluídos para a amostra final, todos encontrados na PubMed. Tendo como principais resultados em quatro dos 5 adicionados, a demonstração de aumento da taxa de feminicídio durante o período de pandemia Considerações finais: Após análise crítica foi possível observar aumento expressivo do número de vítimas por feminicídio nas regiões que adotaram o regime de lockdown como prevenção do vírus SARS-CoV-2. No entanto, faz-se necessário mais estudos sobre o tema

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

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