Instrumento para mensurar habilidades culinárias domésticas na atenção primária à saúde

OBJETIVO Desenvolver e validar instrumento para mensuração de habilidades culinárias domésticas de profissionais de saúde envolvidos com orientações de promoção da alimentação adequada e saudável da atenção primária à saúde. MÉTODOS Estudo metodológico com abordagem psicométrica, realizado no município de São Paulo entre janeiro e novembro de 2020, para desenvolvimento e validação de instrumento on-line autoaplicável. Os dados dos 472 participantes foram apresentados por estatística descritiva. A validação de conteúdo foi realizada por julgamento de especialistas utilizando técnica Delphi de dois rounds e estatísticas empíricas para evidência de consenso. Empregou-se análise fatorial exploratória para validação de constructo e análise de confiabilidade, analisados índices de ajuste do modelo e fidedignidade composta. RESULTADOS O instrumento apresentou validade de conteúdo satisfatória para índices de CVRc e nos dois rounds da técnica Delphi. Após análise fatorial, o modelo final da Escala de Habilidades Culinárias Domésticas da Atenção Primária à Saúde apresentou 29 itens com cargas fatoriais adequadas (> 0,3). Os testes de esfericidade de Bartlett e Kaiser-Meyer-Olkin (KMO) realizados em análise fatorial exploratória sugeriram interpretabilidade na matriz de correlação, a análise paralela indicou quatro domínios e variância explicada de 64,1%. A fidedignidade composta dos fatores foi adequada (> 0,70) e o índice H sugeriu fatores replicáveis em estudos futuros. Todos os índices de ajustes mostraram-se adequados. CONCLUSÕES A Escala de Habilidades Culinárias Domésticas da Atenção Primária à Saúde apresentou evidências de validade e confiabilidade. É curta e de fácil aplicação e possibilitará a averiguação de forma fidedigna da necessidade de qualificação da força de trabalho, favorecendo o planejamento de ações e políticas públicas de promoção da alimentação adequada e saudável na atenção primária à saúde.OBJECTIVE To develop and validate an instrument for measuring the home cooking skills of health professionals involved with guidelines for promoting adequate and healthy food in primary health care. METHODS This is a methodological study with a psychometric approach, carried out in the city of São Paulo between January and November 2020, to develop and validate a self-applied online instrument. The data of the 472 participants were presented by descriptive statistics. Content validation was performed by expert judgment using the two round Delphi technique and empirical statistics for consensus evidence. Exploratory factor analysis was used for construct validation and reliability analysis, and the model adjustment rates and composite reliability were analyzed. RESULTS The instrument presented satisfactory content validity for CVRc indices and in the two rounds of the Delphi technique. After the factor analysis, the final model of the Primary Health Care Home Cooking Skills Scale presented 29 items with adequate factorial loads (> 0.3). Bartlett’s and Kaiser-Meyer-Olkin’s (KMO) tests of sphericity performed in exploratory factorial analysis suggested interpretability in the correlation matrix, the parallel analysis indicated four domains and explained variance of 64.1%. The composite reliability of the factors was adequate (> 0.70) and the H-index suggested replicable factors in future studies. All adjustment rates proved to be adequate. CONCLUSIONS The Primary Health Care Home Cooking Skills Scale presented evidence of validity and reliability. It is short and easy to apply and will make it possible to reliably ascertain the need for qualification of the workforce, favoring the planning of actions and public policies of promotion of adequate and healthy food in primary health care

Modos de organização e desafios da participação dos Agricultores Familiares no Programa Nacional de Alimentação Escolar

Introdução: A venda dos produtos da agricultura familiar para o Programa Nacional de Alimentação Escolar (PNAE) representa uma experiência que favorece a sustentabilidade alimentar. Objetivo: Descrever os alimentos fornecidos ao PNAE e caracterizar a venda do agricultor familiar segundo organização produtiva, considerando estabelecimento familiar e apoio institucional e técnico, nos municípios do estado de São Paulo. Métodos: Trata-se de um estudo transversal realizado entre 2012 e 2013 com 110 agricultores que forneceram alimentos para 16 municípios do PNAE no Estado de São Paulo. Os dados foram coletados por meio de questionários estruturados e para a análise foram utilizadas estatística descritiva e teste de McNemar. Resultados: Houve prevalência no fornecimento de alimentos in natura pelos agricultores familiares; e aumento das vendas para mercados institucionais, após a vigência da Lei no 11.947/2009. A falta de apoio institucional e de assistência técnica foram as dificuldades mais prevalentes para os agricultores. Conclusão: A agricultura familiar é uma fonte de acesso a alimentos in natura para o PNAE contribuindo para um cardápio escolar saudável, com alimentos frescos e locais. Os fatores que mais dificultam a venda da agricultura familiar para o PNAE são a necessidade de apoio técnico e institucional

‘People lie’: overcoming obstacles to incorporate social science research to biodiversity conservation

Mesmo com o reconhecimento da importância da interdisciplinaridade na conservação da biodiversidade, ainda há resistência em incorporar a pesquisa em ciências sociais (PCS) ao pensamento e à prática conservacionista. As razões para tal resistência podem ser resumidas em três afirmações gerais ainda comumente atribuídas à PCS: 'tem pouca utilidade' e 'menos rigor metodológico' quando comparada à pesquisa em ciências naturais e, sobretudo, é pouco confiável porque 'as pessoas mentem'. Neste ensaio, desenvolvido a partir da experiência dos participantes de uma comunidade de prática, formada por profissionais de diversas áreas e setores relacionados à conservação, e das discussões geradas nesse espaço de aprendizado coletivo, abordamos as limitações e os equívocos por trás das afirmações acima. A PCS não é menos útil na conservação e nem tem menos rigor metodológico do que a pesquisa em ciências naturais, e quando as pessoas mentem para o pesquisador o problema não está na pesquisa em si, mas na relação entre sujeito e pesquisador. Argumentamos que à medida que os conservacionistas se familiarizam com a PCS e que os princípios de equidade e justiça são incorporados aos valores e objetivos da conservação, a importância e necessidade da PCS na conservação tornam-se óbvias, e a falta de confiança entre pesquisador e sujeitos deixa de ser uma preocupação significativa. Capacitar, integrar e apoiar são nossas recomendações básicas para pesquisadores, educadores, gestores e tomadores de decisão nas áreas de conservação, ensino, publicação e financiamento, para que a PCS cumpra plenamente seu papel na conservação.Despite the acknowledged importance of interdisciplinarity in biodiversity conservation, there is still resistance to incorporate social science research (SSR) to both conservationist thinking and practice. The reasons for such a resistance can be summarized in three general statements still commonly attributed to SSR, namely: it is of 'little use' and it has 'less methodological rigor' than research in the natural sciences and, above all, it is unreliable because 'people lie'. The current essay was developed based on the experience of participants of a community of practice (formed by professionals from different fields and sectors  associated with conservation), as well as on discussions held in this space of collective learning. It addresses the limitations and misconceptions behind the aforementioned statements. SSR is not less useful in conservation and not less methodologically rigorous than research conducted in the natural sciences. When researchers are lied to, the problem does not lie on the research itself, but on the subject-researcher relationship. We herein argue that as conservationists become more familiar with SSR, and as principles like equity and justice are incorporated to conservation values and goals, both the importance and need of SSR in conservation become obvious, making the lack of trust between researcher and subjects no longer a significant concern. Increasing capacity, integrating and supporting are our basic recommendations for researchers, educators, managers and decision-makers in the conservation, teaching, publishing and funding fields, so that SSR can fully fulfill its role in conservation

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

The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment

The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since July 2014. This paper describes the second data release from this phase, and the fourteenth from SDSS overall (making this, Data Release Fourteen or DR14). This release makes public data taken by SDSS-IV in its first two years of operation (July 2014-2016). Like all previous SDSS releases, DR14 is cumulative, including the most recent reductions and calibrations of all data taken by SDSS since the first phase began operations in 2000. New in DR14 is the first public release of data from the extended Baryon Oscillation Spectroscopic Survey (eBOSS); the first data from the second phase of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE-2), including stellar parameter estimates from an innovative data driven machine learning algorithm known as "The Cannon"; and almost twice as many data cubes from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous release (N = 2812 in total). This paper describes the location and format of the publicly available data from SDSS-IV surveys. We provide references to the important technical papers describing how these data have been taken (both targeting and observation details) and processed for scientific use. The SDSS website (www.sdss.org) has been updated for this release, and provides links to data downloads, as well as tutorials and examples of data use. SDSS-IV is planning to continue to collect astronomical data until 2020, and will be followed by SDSS-V.Comment: SDSS-IV collaboration alphabetical author data release paper. DR14 happened on 31st July 2017. 19 pages, 5 figures. Accepted by ApJS on 28th Nov 2017 (this is the "post-print" and "post-proofs" version; minor corrections only from v1, and most of errors found in proofs corrected

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

Sloan Digital Sky Survey IV: mapping the Milky Way, nearby galaxies, and the distant universe

We describe the Sloan Digital Sky Survey IV (SDSS-IV), a project encompassing three major spectroscopic programs. The Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2) is observing hundreds of thousands of Milky Way stars at high resolution and high signal-to-noise ratios in the near-infrared. The Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey is obtaining spatially resolved spectroscopy for thousands of nearby galaxies (median ). The extended Baryon Oscillation Spectroscopic Survey (eBOSS) is mapping the galaxy, quasar, and neutral gas distributions between and 3.5 to constrain cosmology using baryon acoustic oscillations, redshift space distortions, and the shape of the power spectrum. Within eBOSS, we are conducting two major subprograms: the SPectroscopic IDentification of eROSITA Sources (SPIDERS), investigating X-ray AGNs and galaxies in X-ray clusters, and the Time Domain Spectroscopic Survey (TDSS), obtaining spectra of variable sources. All programs use the 2.5 m Sloan Foundation Telescope at the Apache Point Observatory; observations there began in Summer 2014. APOGEE-2 also operates a second near-infrared spectrograph at the 2.5 m du Pont Telescope at Las Campanas Observatory, with observations beginning in early 2017. Observations at both facilities are scheduled to continue through 2020. In keeping with previous SDSS policy, SDSS-IV provides regularly scheduled public data releases; the first one, Data Release 13, was made available in 2016 July

Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe

We describe the Sloan Digital Sky Survey IV (SDSS-IV), a project encompassing three major spectroscopic programs. The Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2) is observing hundreds of thousands of Milky Way stars at high resolution and high signal-to-noise ratios in the near-infrared. The Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey is obtaining spatially resolved spectroscopy for thousands of nearby galaxies (median $z\sim 0.03$). The extended Baryon Oscillation Spectroscopic Survey (eBOSS) is mapping the galaxy, quasar, and neutral gas distributions between $z\sim 0.6$ and 3.5 to constrain cosmology using baryon acoustic oscillations, redshift space distortions, and the shape of the power spectrum. Within eBOSS, we are conducting two major subprograms: the SPectroscopic IDentification of eROSITA Sources (SPIDERS), investigating X-ray AGNs and galaxies in X-ray clusters, and the Time Domain Spectroscopic Survey (TDSS), obtaining spectra of variable sources. All programs use the 2.5 m Sloan Foundation Telescope at the Apache Point Observatory; observations there began in Summer 2014. APOGEE-2 also operates a second near-infrared spectrograph at the 2.5 m du Pont Telescope at Las Campanas Observatory, with observations beginning in early 2017. Observations at both facilities are scheduled to continue through 2020. In keeping with previous SDSS policy, SDSS-IV provides regularly scheduled public data releases; the first one, Data Release 13, was made available in 2016 July

Sloan Digital Sky Survey IV : mapping the Milky Way, nearby galaxies, and the distant universe

We describe the Sloan Digital Sky Survey IV (SDSS-IV), a project encompassing three major spectroscopic programs. The Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2) is observing hundreds of thousands of Milky Way stars at high resolution and high signal-to-noise ratios in the near-infrared. The Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey is obtaining spatially resolved spectroscopy for thousands of nearby galaxies (median z ~ 0.03). The extended Baryon Oscillation Spectroscopic Survey (eBOSS) is mapping the galaxy, quasar, and neutral gas distributions between z ~ 0.6 and 3.5 to constrain cosmology using baryon acoustic oscillations, redshift space distortions, and the shape of the power spectrum. Within eBOSS, we are conducting two major subprograms: the SPectroscopic IDentification of eROSITA Sources (SPIDERS), investigating X-ray AGNs and galaxies in X-ray clusters, and the Time Domain Spectroscopic Survey (TDSS), obtaining spectra of variable sources. All programs use the 2.5 m Sloan Foundation Telescope at the Apache Point Observatory; observations there began in Summer 2014. APOGEE-2 also operates a second near-infrared spectrograph at the 2.5 m du Pont Telescope at Las Campanas Observatory, with observations beginning in early 2017. Observations at both facilities are scheduled to continue through 2020. In keeping with previous SDSS policy, SDSS-IV provides regularly scheduled public data releases; the first one, Data Release 13, was made available in 2016 July