Association of social factors and health conditions with capacity and performance

OBJECTIVE Determine and measure the association of social factors and health conditions with worse capacity and performance levels. METHODS Dependent variables consisted of performance and capacity; independent variables comprised age, gender, level of education, personal income, and health conditions. Means (95%CI) of performance and capacity were presented according to the independent variables. Generalized linear models, using a mutual adjustment for all variables considered statistically significant (p < 0.05), measured the associations between each exposure and outcomes. Study population included 12,265 individuals. RESULTS Older women with lower education and income levels and with some health condition showed the worst performance and capacity. CONCLUSION Results showed that the capacity and performance levels of the Chilean population changed according to social demographic characteristics and health conditions

Impairments, health conditions and health risk behaviors: occurrence and associations, in the National Health Survey, Brazil, 2019

ABSTRACT Objective To analyze association of visual, hearing, mental/intellectual, physical and multiple impairments with health conditions and health risk behaviors in Brazil. Methods This was a cross-sectional study, using data from the 2019 National Health Survey; associations between impairments and presence of cardiovascular disease (CVD), hypertension, diabetes mellitus (DM), high cholesterol, alcohol abuse and smoking were estimated using logistic regression, thus obtaining the odds ratios (OR). Results Impairment was reported by 7.6% of the 90,846 participants. Having a impairment was associated with greater odds of reporting chronic conditions, especially CVD (OR = 2.11; 95%CI 1.76;2.54) and DM (OR = 1.78; 95%CI 1.56;2.02 ); visual impairment was associated with greater odds of smoking (OR = 1.52; 95%CI 1.28;1.81); mental/intellectual impairment was inversely related to smoking (OR = 0.45; 95%CI 0.30;0.67) and alcohol abuse (OR = 0.13; 95%CI 0.06;0.26). Conclusion Having any of the impairments studied may be associated with greater odds of having chronic health conditions

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

A Classificação Internacional de Funcionalidade, Incapacidade e Saúde (CIF) como dicionário unificador de termos

The International Classification of Functioning, Disability and Health (CIF) was formulated by the World Health Organization (WHO), based on the biopsychosocial model, having as one of the main objectives to provide a neutral and non-discriminatory universal language. However, it is still possible to observe challenges for the success in establishing and using this language universally, causing a series of barriers in communication at the level of teaching, clinical practice, management, and research. This theoretical essay seeks to reflect on the analysis of the challenges that the heterogeneity of the language used to describe and characterize the functioning and the perception that, even after 20 years of publication of the ICF, the use of biomedical logic is still persistent, if configuring as a barrier to the paradigm shift. In addition to discussing the benefits of using ICF as a universal language for health professionals. We affirm the need for an effort by the academic and clinical community for the correct use of ICF terms since the misunderstanding in language can lead to inconsistent definitions. We emphasize that this theoretical essay seeks to cover a gap in the Brazilian literature regarding the use of ICF as a dictionary of guiding terms for describing lived health experiences.A Classificação Internacional de Funcionalidade, Incapacidade e Saúde (CIF) foi formulada pela Organização Mundial de Saúde (OMS), baseada no modelo biopsicossocial, tendo como um dos principais objetivos proporcionar uma linguagem neutra e não discriminatória universal. Porém, ainda é possível observar desafios para o êxito no estabelecimento e uso dessa linguagem de forma universal, ocasionando em uma série de barreiras na comunicação em nível de ensino, prática clínica, gestão e pesquisa. O presente ensaio teórico busca realizar reflexões acerca da análise dos desafios que a heterogeneidade da linguagem utilizada na descrição e caracterização da funcionalidade e a percepção que, mesmo após 20 anos de publicação da CIF, ainda é persistente o uso da lógica biomédica, configurando-se como uma barreira para a mudança de paradigma. Pretende-se também discutir sobre quais os benefícios de utilização da CIF como uma linguagem universal no campo da saúde. Afirmamos a necessidade de um esforço da comunidade acadêmica e clínica para o uso correto dos termos da CIF, visto que o equívoco na linguagem pode levar a definições inconsistentes. Salientamos que esse ensaio teórico busca cobrir um hiato na literatura brasileira a respeito da utilização da CIF como dicionário de termos balizadores para descrição das experiências vividas em saúde.

Propriedades psicométricas do WHODAS para uso em pessoas com chikungunya no Brasil

O objetivo deste estudo é validar um instrumento de aferição da funcionalidade segundo a proposta conceitual da Classificação Internacional de Funcionalidade, Incapacidade e Saúde, para uso em pessoas pós-chikungunya. Este é um estudo de validação com indivíduos >17 anos, de ambos os sexos, em atendimento para manejo clínico da chikungunya. A coleta de dados foi realizada por meio de entrevistas coletando informações sobre funcionalidade (WHODAS), qualidade de vida (WHOQOL-bref) e sociodemográficas. A análise estatística usou o coeficiente alfa de Cronbach (consistência interna) e coeficiente de correlação de Spearman (validade convergente), médias e desvios-padrão para a determinação do perfil de qualidade de vida, com nível de significância de 5%. A amostra foi composta por 68 indivíduos. Os valores médios das pontuações dos instrumentos foram: 45,4 (±16,38) para o WHODAS e 12,1 (±2,10) para o WHOQOL-bref. O alfa de Cronbach do valor total foi de α=0,93; todos os domínios do WHODAS apresentaram valores acima de 0,75. O valor total do WHODAS 2.0 apresentou forte correlação com o domínio físico (r=−0,74) e moderada correlação com os domínios psicológico (r=−0,68) e social (r=−0,42) do WHOQOL-bref. Os resultados indicam que o WHODAS 2.0 é um instrumento válido para a mensuração da autopercepção de alteração da funcionalidade em pacientes acometidos pela chikungunya, capaz de fornecer dados que podem ajudar a construir um perfil de impacto da doença no perfil de funcionalidade dessa população.The aim of this study is to validate an assessment tool for functioning and health according to the conceptual proposal of the International Classification of Functioning, Disability and Health (ICF), for its use in post-chikungunya patients. This is a validation study with individuals >17 years old of both sexes. Data collection was performed through interviews, gathering information on functioning (WHODAS), quality of life (WHOQOL-bref) and socio-demographic data. Statistical analysis used the Cronbach alpha coefficient (internal consistency) and Spearman correlation coefficient (convergent validation), means and standard deviations, with significance level of 5%. The sample consisted of 68 individuals. The mean values of scores were: 45.4 (±16.38) for WHODAS and 12.1 (±2.10) for WHOQOL-bref. The Cronbach’s alpha of the total value was α=0.93; all WHODAS domains presented values ≥0.75. The total value of WHODAS 2.0 had strong correlation with the physical domain (r=−0.74) and moderate correlation with the psychological (r=−0.68) and social (r=−0.42) domains of the WHOQOL-bref. The results indicate that WHODAS 2.0 is a valid instrument for the measurement of self-perceived functioning alteration in patients affected by chikungunya.El objetivo de este estudio es validar un instrumento de evaluación del funcionamiento de acuerdo con la propuesta conceptual de la Clasificación Internacional del Funcionamiento de la Discapacidad y de la Salud (CIF), para su uso en personas postchikungunya. Se trata de un estudio de validación con individuos >17 años, de ambos sexos, en atención para el manejo clínico de chikungunya. La recolección de datos se realizó mediante entrevistas, que reunieron informaciones sobre el funcionamiento (WHODAS), la calidad de vida (WHOQOL-bref) y los datos sociodemográficos. El análisis estadístico utilizó el coeficiente alfa de Cronbach (consistencia interna) y el coeficiente de correlación de Spearman (validación convergente), medias y desviaciones estándar para determinar el perfil de la calidad de vida, con un nivel de significación del 5%. La muestra consistió en 68 individuos. Los valores medios de las puntuaciones fueron: 45,4 (±16,38) para WHODAS; y 12,1 (±2,10) para WHOQOL-bref. El alfa de Cronbach del valor total fue α=0,93; Todos los dominios WHODAS presentaron valores superiores a 0,75. El valor total de WHODAS 2.0 tuvo una fuerte correlación con el dominio físico (r=−0,74) y una correlación moderada con los dominios psicológico (r=−0,68) y social (r=−0,42) del WHOQOL-bref. Los resultados indican que WHODAS 2.0 es un instrumento válido para medir la alteración del funcionamiento autopercibido en pacientes afectados por chikungunya, siendo capaz de proporcionar datos que pueden ayudar a construir un perfil de impacto de la enfermedad en el perfil de esta población

Epidemiology and Economic Burden of Chikungunya: A Systematic Literature Review

Chikungunya (CHIK) is a re-emerging viral infection endemic in tropical and subtropical areas. While the typical clinical presentation is an acute febrile syndrome, long-term articular complications and even death can occur. This review characterizes the global epidemiological and economic burden of chikungunya. The search included studies published from 2007 to 2022 in MEDLINE, Embase, LILACS, and SciELO for a thorough evaluation of the literature. Rayyan software was used for data analysis, and data were summarized descriptively and reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Seventy-six publications were included. Chikungunya is widely distributed in the tropics, including Africa, Asia, South America, and Oceania/the Pacific Islands, and co-circulates with other simultaneous arboviruses such as DENV, ZIKV, and YFV. Chikungunya infection can lead to chronic articular manifestations with a significant impact on the quality of life in the long term. In addition, it generates absenteeism and economic and social losses and can cause fatal infections in vulnerable populations, mainly in high-risk patients with co-morbidities and at the extremes of age. Reported costs associated with CHIKV diseases are substantial and vary by region, age group, and public/private delivery of healthcare services. The chikungunya disease burden includes chronicity, severe infections, increased hospitalization risks, and associated mortality. The disease can impact the economy in several spheres, significantly affecting the health system and national economies. Understanding and measuring the full impact of this re-emerging disease is essential