Índice de alimentación saludable para gestantes: adaptación para uso en gestantes brasileñas

OBJETIVO: Avaliar a qualidade global da dieta em uma amostra de gestantes, a partir de um parâmetro único, simples e objetivo. MÉTODOS: Gestantes entre a 16ª e 36ª semana de gestação (n = 712) foram arroladas em unidades básicas de saúde em Porto Alegre e Bento Gonçalves, RS, em 2010. Com base no índice americano Alternate Healthy Eating Index for Pregnancy (AHEI-P) foi criado o Índice de Alimentação Saudável para Gestantes Brasileiras (HEIP-B). Foram aplicados o questionário de frequência alimentar e o questionário sociodemográfico. Foi utilizada a análise de componentes principais focada para avaliar a relação entre os índices e os nutrientes relevantes à gestação. RESULTADOS: A mediana e o intervalo interquartílico dos índices AHEI-P e HEIP-B foram 66,6 (57,8-72,4) e 67,4 (60,0-73,4), respectivamente. O HEIP-B mostrou boa correlação positiva com os nutrientes que têm recomendação específica no período gestacional folato (r = 0,8; p < 0,001), cálcio (r = 0,6; p < 0,001) e ferro (r = 0,7; p < 0,001). CONCLUSÕES: A qualidade da dieta das gestantes do presente estudo foi classificada dentro do ponto de corte "precisando de melhorias", o que mostra a necessidade de se trabalhar mais especificamente com educação alimentar nesse ciclo da vida. O índice aplicado mostrou boas correlações e, portanto, pode ser considerado um bom instrumento de avaliação da qualidade da alimentação durante a gestação.OBJETIVO: Evaluar la calidad global de la dieta en una muestra de gestantes, a partir de um parámetro único, simple y objetivo. MÉTODOS: Gestantes entre 16ª y 36ª semana de gestación (n=712) fueron inventariadas en unidades básicas de salud en Porto Alegre y Bento Gonçalves, RS, Brasil, en 2010. Con base en el índice americano Alternate Healthy Eating Index for Pregnancy (AHEI-P) se creó en índice de Alimentación Saludable para Gestantes (HEIP-B). Se aplicaron el cuestionario de frecuencia alimentaria y el cuestionario sociodemográfico. Se utilizó el análisis de componentes principales para evaluar la relación entre los índices y los nutrientes relevantes para la gestación. RESULTADOS: La mediana y el intervalo intercuartil de los índices AHEI-P y HEIP-B fueron 66,6 (57,8-72,4) y 67,4 (60,0-73,4), respectivamente. El HEIP-B mostró buena correlación positiva con los nutrientes que tienen recomendación específica en el período gestacional folato (r = 0,8; p < 0,001), calcio (r = 0,6; p < 0,001) e hierro (r = 0,7; p < 0,001). CONCLUSIONES: La calidad de la dieta de las gestantes del presente estudio fue clasificada dentro del punto de corte "precisando de mejorías", lo que muestra la necesidad de trabajar más específicamente con educación alimentaria en ese ciclo de la vida. El índice aplicado mostró buenas correlaciones y, por tanto, puede ser considerado un buen instrumento de evaluación de la calidad de la alimentación durante la gestación.OBJECTIVE: To evaluate dietary quality in a sample of pregnant women based on one simple and objective parameter. METHODS: Pregnant women (n = 712), between 16 and 36 weeks, attending primary care clinics in Porto Alegre and Bento Gonçalves, Southern Brazil, in 2010 were recruited to take part. The Healthy Eating Index for Brazilian Pregnancy (HEIP-B) was created, derived from the American instrument called Alternate Healthy Eating Index for Pregnancy (AHEI-P). Questionnaires on frequency of consumption and on socio-demographic factors were completed. Focused principal component analysis (ACPF) was used to assess the relationship between the index and nutrients relevant to pregnancy. RESULTS: The median (interquartile range) of AHEI-P and HEIP-B were 66.6 (57.8-72.4) and 67.4 (60.0-73.4), respectively. The HEIP-B showed a good positive correlation with nutrients which are specifically recommended for pregnancy: folate (r = 0.8; p < 0.001), calcium (r = 0.6; p < 0.001) and iron (r = 0.7; p < 0.001). CONCLUSIONS: The quality of the diet of the pregnant women in this study was classified as within the "improvements needed" cut off point, which demonstrates the need for more specific education on nutrition for this stage of life. The index showed good correlations and, thus, may be considered an effective tool for assessing the quality of nutrition during pregnancy

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

Política de segurança da informação: contribuições do endomarketing para sua efetividade

Protecting sources of information has become a great challenge to the organizations, due to the advance of the information technologies, the integration between them and the constant stream of information that flows through the communication networks. The establishment of an Information Security Policy – PSI may resolve a part of the problems related to security, but it cannot totally solve them, since the human resources present in the internal environment of the organizations may spoil the effectiveness of the PSI. Given the importance of the human aspects in the context of the information security, the present work discusses the use of internal marketing as a management strategy in order to obtain or reestablish the commitment of the users to the principles defined in the PSI, and demonstrates, through an experimental research, the impact of using internal marketing techniques to the effectiveness of that policy. The results of this experiment make quantitatively evident how relevant the use of these techniques may be in order to have the procedures described in the PSI actually carried out by the users, and demonstrates a 402,4% increase in the support to the information security policy, considering the procedures indicated in the PSI that were totally executed.Proteger os recursos de informação tornou-se um grande desafio às organizações devido ao avanço das tecnologias de informação, a integração entre essas tecnologias e o fluxo constante de informações que trafegam através de redes de comunicação. O estabelecimento de uma Política de Segurança da Informação – PSI pode resolver parte dos problemas relacionados à segurança, mas não pode resolvê-los integralmente, pois os recursos humanos, presentes no ambiente interno das organizações, podem comprometer a efetividade de uma PSI. Dada a relevância dos aspectos humanos no contexto da segurança da informação, o presente artigo explora a utilização de endomarketing (marketing interno) como estratégia de gestão, no intuito de se obter ou resgatar o  comprometimento dos usuários para com os pressupostos definidos na política de segurança da informação, e demonstra, através de uma pesquisa experimental, o impacto da utilização de técnicas de endomarketing para a efetividade da política. Os resultados advindos da realização do experimento evidenciam quantitativamente o quão relevante pode ser a utilização dessas técnicas para que os procedimentos descritos na PSI sejam realmente executados pelos usuários e demonstram um aumento de 402,4% na adesão à política de segurança da informação,  considerando os procedimentos indicados pela PSI e que foram totalmente executados

Characteristics of neighborhood environment (social cohesion and safety) and common mental disorders in ELSA-Brasil study: a multilevel analysis

The purpose of this study was to determine if self-reported characteristics of social cohesion and local neighborhood safety positively affect the mental health of their residents, regardless of individual characteristics. A sample of participants in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) baseline was used. The Clinical Interview Schedule-Revised (CIS-R) instrument was used for tracking common mental disorders (CMD). Social cohesion and safety were measured by validated scales of neighborhood environment self-reported characteristics. The multilevel logistic regression model was used to estimate the effect in neighborhoods (level 2) and individuals (level 1), as well as the odds ratios for each neighborhood explanatory variable and social characteristics in the CMD. The results showed that part of the variance (2.3%), in the common mental disorders prevalence is attributed to local neighborhoods. The characteristics of social cohesion and safety remained significant, even after the adjustment of individual explanatory variables. This study confirmed the hypothesis that individuals living in neighborhoods where they perceive low social cohesion and safety present a higher chance of developing CMD