Autopercepção da imagem corporal em estudantes do curso de educação física Self-perception of body image in the physical education course students

O objetivo do estudo foi analisar a autopercepção da imagem corporal (IC) e associar a IC com indicadores sociodemográficos, estado nutricional e nível de atividade física de universitários. Realizou-se um estudo transversal com 294 universitários (136 homens e 158 mulheres), mensurou-se a percepção da IC por meio da escala de silhueta, indicando a silhueta atual (SA), silhueta ideal (SI) e a silhueta ideal do sexo oposto (SIO). Ainda foram coletadas variáveis demográficas (sexo, idade, turno de estudo, ocupação), nível socioeconõmico, estado nutricional (índice de massa corporal) e o nível de atividade física (IPAQ - versão curta). Utilizou-se a análise descritiva e o teste de associação do qui-quadrado para análise dos dados. A prevalência de insatisfação com a IC foi de 61,2% (n = 180), sendo 61% nos homens e 61,4% nas mulheres. A silhueta 2 foi apontada por 57% das mulheres como a SI, entre os homens 38,2% e 39,7% apontaram a silhueta 3 e 4 como a SI. Foi identificada como SIO à silhueta 3 (63,2% masculino e 56,3% feminino). As mulheres demonstraram uma maior percepção (67,6%) em possuir uma silhueta menor que a atual. Já entre os homens houve a tendência (66,7%) a desejarem uma silhueta maior do que a atual. Além do sexo a percepção com a IC foi associada com o estado nutricional (p < 0,05), onde se observou que 78,7% dos indivíduos com excesso de peso desejam ter uma silhueta menor do que a atual. Concluísse que a autopercepção da IC esteve associada ao sexo e ao estado nutricional nos universitários<br>This study aimed at evaluating the self-perception of the body image (BI) and associating the BI to socio-demographic indicators, nutritional state and level of physical activities in university students. A cross-sectional study with 394 students was made (136 men and 158 women). The BI perception was measured by means of the silhouette scale, indicating the present silhouette (PS), the ideal silhouette (IS), and the ideal silhouette of the opposed gender (ISO). Demographic variables were also collected (gender, age, part of the day in which they study, occupation), socio-economical level, nutritional state (body mass index) and the level of physical activity (IPAQ - Short version). The descriptive analysis and the qui-square association test were used to analyze the data. The dissatisfaction prevalence with the BI was of 61.2% (n = 180), being 61% men and 61.4% women. The silhouette 2 was pointed by 57% and 38.2% of women and men as the IS, respectively. Silhouettes 3 and 4 were pointed as the IS by 38.2% of the women and 39.7% of the men. Silhouette 3 was identified as the ISO (63.2% male and 56.3% female). Women showed a higher prevalence (67.6%) of having a smaller silhouette than the present one. Men showed a tendency (66.7%) to prefer a bigger silhouette than the present one. Besides the gender, the BI perception was associated with the nutritional state (p < 0.05), in which it was observed that 78.7% of the overweight subjects to have a smaller silhouette than they have at present. The conclusion is that the BI self-perception was associated with gender and nutritional state of the university student

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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 science. © The Author(s) 2019. Published by Oxford University Press