O isolamento social é estratégia para evitar o contágio e transmissão do coronavírus. Este estudo teve como objetivo avaliar as atividades físicas (AF) realizadas em ambientes fechados e hábitos de saúde entre adolescentes durante o isolamento social devido à pandemia de COVID-19 (COVID-19). Estudo transversal com 342 adolescentes, de 12 a 17 anos de idade, estudantes de escola pública e participantes de atividades esportivas escolares. Um questionário on-line foi enviado para os estudantes com 18 perguntas sobre hábitos alimentares, sono, comportamentos de proteção ao COVID-19 e AF. A idade média dos estudantes foi de 15 ± 1,36 anos, 41,5% vivem com três pessoas, 77,5% moram em casas, 95% responderam que estão tomando as medidas de proteção recomendadas. Dois terços dos familiares trabalham fora de casa sendo que 65,2% deles em exposição direta ao COVID-19 (serviços essenciais). Mais da metade (53,2%) dos adolescentes fazem até três refeições por dia e 80% cumprem as horas de descanso recomendadas por noite. A maior parte do dia é usada em redes sociais e penas 27% atenderam às recomendações para AF e 29,8% relataram ganho de peso. Entre os adolescentes que relataram ganho de peso, 54,9% relataram fazer exercícios às vezes e 27,4% não fazem nenhum exercício (p < 0,001). Concluímos que, apesar das recomendações, houve redução nas AF diárias e aumento no tempo de tela entre adolescentes durante o período de isolamento social. Faz-se necessária reavaliação das maneiras de incentivar os adolescentes a manter a AF em ambientes fechados e hábitos de saúde mais saudáveis.
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency–Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.
The present study results reveal the potential benefit of M-ECT. Further studies are urgently needed to establish its usefulness as an alternative treatment for severe psychiatric disorders.
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