3 resultados para CLASSIFICATIONS
em Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España
Resumo:
[EN] The groups of local cohomology with supports in the non-free locus of a module are used in order to obtain three classifications and one characterization of four classes of modules
Resumo:
[EN] Background: Body image disturbance is an increasing problem in Western societies and is associated with a number of mental health outcomes including anorexia, bulimia, body dysmorphia, and depression. The aim of this study was to assess the association between body image disturbance and the incidence of depression. Methods: This study included 10,286 participants from a dynamic prospective cohort of Spanish university graduates, who were followed-up for a median period of 4.2 years (Seguimiento Universidad de Navarra – the SUN study). The key characteristic of the study is the permanently open recruitment that started in 1999. The baseline questionnaire included information about body mass index (BMI) and the nine figure schemes that were used to assess body size perception. These variables were grouped according to recommended classifications and the difference between BMI and body size perception was considered as a proxy of body image disturbance. A subject was classified as an incident case of depression if he/she was initially free of depression and reported a physician-made diagnosis of depression and/or the use of antidepressant medication in at least one of the follow-up questionnaires. The association between body image disturbance and the incidence of depression was estimated by calculating the multivariable adjusted Odds Ratio (OR) and its 95% Confidence Interval (95% CI), using logistic regression models. Results: The cumulative incidence of depression during follow-up in the cohort was 4.8%. Men who underestimated their body size had a high percentage of overweight and obesity (50.1% and 12.6%, respectively), whereas women who overestimated their body size had a high percentage of underweight (87.6%). The underestimation exhibited a negative association with the incidence of depression among women (OR: 0.72, 95% CI: 0.54 – 0.95), but this effect disappeared after adjusting for possible confounding variables. The proportion of participants who correctly perceived their body size was high (53.3%) and gross misperception was seldom found, with most cases selecting only one silhouette below (42.7%) or above (2.6%) their actual BMI. Conclusion: We found no association between body image disturbance and subsequent depression in a cohort of university graduates in Spain.
Resumo:
[ES] E-NATURAL es un portal web donde se localizan empresas del sector del turismo rural, en este portal se publicitan y venden sus productos y servicios. Cada empresa dispone de un espacio web único e individual para poder promocionarse en internet. Mediante un buscador, permite a los usuarios acceder a los contenidos de cada empresa registrada en el sistema. Este buscador es abierto y cualquier usuario no registrado puede consultar la información acerca de productos y servicios ofertados, y disponer de toda la información relacionada con cada empresa. Las empresas registradas disponen de un sistema de información completo de fácil manejo e intuitivo que permite autogestionar todo el contenido de los productos y páginas web de cada empresa individualmente. También se incluye un sistema de gestión de contenidos que genera páginas web profesionales automáticamente, con posibilidad de edición de páginas. Por otra parte, los usuarios registrados podrán realizar: reservas de productos mediante un completo sistema de gestión de reservas, con especial atención al alojamiento, compras de productos mediante un completo sistema de compras, adaptado a la plataforma Paypal, clasificaciones de productos y páginas web del sistema, utilizando votaciones mediante rankings. La plataforma contiene un sistema de gestión de comentarios sobre productos y páginas web de empresas que permite seleccionar la visualización y la no visualización del contenido. Por último, los usuarios podrán compartir información sobre contenidos publicados en las páginas, mediante el uso de redes sociales como Twitter, Google+ y Facebook.