Implantación de un programa de promoción de la salud de las mujeres en zonas de exclusión social de la ciudad de Sevilla / Implementation of a health promotion programme for women in social exclusion in the city of Seville (Spain)

La promoción de la salud puede ayudar a reducir las desigualdades y velar por la igualdad de oportunidades, proporcionando los medios que permitan a toda la población desarrollar su máximo potencial de salud. Las mujeres que viven en zonas con necesidades de transformación social (ZNTS) son un grupo especialmente vulnerable por la situación de exclusión social y privación material en que viven; los programas de promoción de la salud en este colectivo pueden contribuir a la mejora de su salud. En este trabajo se describe el programa de promoción de la salud Grupos Socioeducativos de Atención Primaria dirigidos a Mujeres (GRUSE-M), y se evalúa su implantación en diversas ZNTS de la ciudad de Sevilla, así como los beneficios y las dificultades de su desarrollo, a través de un análisis documental y de entrevistas a profesionales que lo están implementando

Health promotion can contribute towards reducing inequality and ensuring equal opportunities, providing the means to enable the entire population to develop its maximum health possibilities. Women living in areas with social transformation needs (ASTN) are an especially vulnerable group due to the situation of material deprivation and social exclusion in which they live. Health promotion programmes for this group can bring about an improvement in their health. This paper describes the health promotion programme Socio-educational Groups of Primary Care for Women (SEGPC-W), and evaluates its implementation in ASTN in the city of Seville (Spain), as well as the benefits and difficulties of its development through a documentary analysis and interviews with participating professionals

[Implementation of a health promotion programme for women in social exclusion in the city of Seville (Spain)]. / Implantación de un programa de promoción de la salud de las mujeres en zonas de exclusión social de la ciudad de Sevilla.

Health promotion can contribute towards reducing inequality and ensuring equal opportunities, providing the means to enable the entire population to develop its maximum health possibilities. Women living in areas with social transformation needs (ASTN) are an especially vulnerable group due to the situation of material deprivation and social exclusion in which they live. Health promotion programmes for this group can bring about an improvement in their health. This paper describes the health promotion programme Socio-educational Groups of Primary Care for Women (SEGPC-W), and evaluates its implementation in ASTN in the city of Seville (Spain), as well as the benefits and difficulties of its development through a documentary analysis and interviews with participating professionals.

Advances on Automatic Speech Analysis for Early Detection of Alzheimer Disease: A Non-linear Multi-task Approach.

OBJECTIVE: Nowadays proper detection of cognitive impairment has become a challenge for the scientific community. Alzheimer's Disease (AD), the most common cause of dementia, has a high prevalence that is increasing at a fast pace towards epidemic level. In the not-so-distant future this fact could have a dramatic social and economic impact. In this scenario, an early and accurate diagnosis of AD could help to decrease its effects on patients, relatives and society. Over the last decades there have been useful advances not only in classic assessment techniques, but also in novel non-invasive screening methodologies. METHODS: Among these methods, automatic analysis of speech -one of the first damaged skills in AD patients- is a natural and useful low cost tool for diagnosis. RESULTS: In this paper a non-linear multi-task approach based on automatic speech analysis is presented. Three tasks with different language complexity levels are analyzed, and promising results that encourage a deeper assessment are obtained. Automatic classification was carried out by using classic Multilayer Perceptron (MLP) and Deep Learning by means of Convolutional Neural Networks (CNN) (biologically- inspired variants of MLPs) over the tasks with classic linear features, perceptual features, Castiglioni fractal dimension and Multiscale Permutation Entropy. CONCLUSION: Finally, the most relevant features are selected by means of the non-parametric Mann- Whitney U-test.

Participación comunitaria, empoderamiento y salud percibida de mujeres en el entorno rural de Sevilla / No disponible

El objetivo de este trabajo fue explorar la interrelación entre el sentido psicológico de comunidad, la potenciación psicológica y la participación ciudadana, y los resultados positivos que estos procesos producen en términos de salud. Se incluyeron como variables de organización, potenciadoras de dicha dinámica, la frecuencia de participación en una asociación, el sentido de comunidad respecto a la misma y la participación en una iniciativa de promoción de la salud. La muestra estuvo compuesta por 205 mujeres de entre 17 y 89 años de los municipios de Gerena y Castilblanco de los Arroyos, de la provincia de Sevilla. Los principales resultados de este trabajo indican que los procesos estudiados están intensamente relacionados entre sí, especialmente el sentido de comunidad organizacional y los diferentes tipos de participación. Aunque no se establecen conclusiones acerca de los efectos beneficiosos en salud de estos procesos, se apuntan efectos indirectos a través de diversas variables demográficas

The aim of this study was to explore the interplay between sense of community, psychological empowerment and citizen participation, and their impact in terms of health. Complementarily, the engagement in associational life as well as health’s promotion activities was taken into account: the frequency of participation in a local association, the identification with that association as well as the participation in an initiative to promote health were evaluated. The sample consisted of 205 women between 17 and 89 years old, from the municipalities of Gerena and Castilblanco de los Arroyos (Seville). The main results of this work indicate that the three processes studied are strongly interrelated. Organizational sense of community is clearly associated to different indicators of participation. Finally, health outcomes were associated to demographic variables, such as age, educational level and occupational status

On the selection of non-invasive methods based on speech analysis oriented to automatic Alzheimer disease diagnosis.

The work presented here is part of a larger study to identify novel technologies and biomarkers for early Alzheimer disease (AD) detection and it focuses on evaluating the suitability of a new approach for early AD diagnosis by non-invasive methods. The purpose is to examine in a pilot study the potential of applying intelligent algorithms to speech features obtained from suspected patients in order to contribute to the improvement of diagnosis of AD and its degree of severity. In this sense, Artificial Neural Networks (ANN) have been used for the automatic classification of the two classes (AD and control subjects). Two human issues have been analyzed for feature selection: Spontaneous Speech and Emotional Response. Not only linear features but also non-linear ones, such as Fractal Dimension, have been explored. The approach is non invasive, low cost and without any side effects. Obtained experimental results were very satisfactory and promising for early diagnosis and classification of AD patients.