In adolescence, friends are important due to their influence on the acquisition of habits such as alcohol consumption. However, there is a lack of studies that describe the structural context of adolescents, which would be useful to implement prevention strategies. Therefore, our research question was how adolescent friendship networks influence alcohol consumption. Our goal was to determine the structural profile of adolescent at-risk alcohol users and their relational context in the classroom. We designed a descriptive cross-sectional study based on social network analysis to analyze structural patterns. We recruited 195 students. Social-network and alcohol-consumption variables were analyzed using the UCINET and STATA programs. Some 86.67% of participants had consumed alcohol at some time in their lives and the prevalence of at-risk alcohol use was higher in females (50.48% vs. 49.52%; OR: 1.84; CI 95%: 0.99–3.43%; p = 0.036). The lower the intensity of friendship, the more contacts adolescent at-risk alcohol users had within the network, and the easier it was for them to access their peers. Consequently, we conclude that the structure of a class is a key factor that merits further research.

There is a great concern nowadays regarding alcohol consumption and drug abuse, especially in young people. Analyzing the social environment where these adolescents are immersed, as well as a series of measures determining the alcohol abuse risk or personal situation and perception using a number of questionnaires like AUDIT, FAS, KIDSCREEN, and others, it is possible to gain insight into the current situation of a given individual regarding his/her consumption behavior. But this analysis, in order to be achieved, requires the use of tools that can ease the process of questionnaire creation, data gathering, curation and representation, and later analysis and visualization to the user. This research presents the design and construction of a web-based platform able to facilitate each of the mentioned processes by integrating the different phases into an intuitive system with a graphical user interface that hides the complexity underlying each of the questionnaires and techniques used and presenting the results in a flexible and visual way, avoiding any manual handling of data during the process. Advantages of this approach are shown and compared to the previous situation where some of the tasks were accomplished by time consuming and error prone manipulations of data.

Adolescence is a transitional period during which a number of changes occur. Social relationships established during this period influence adolescent behaviour and affect academic performance or alcohol consumption habits, among other issues. Teachers are very important actors in observing and guiding the evolution of their students, and should therefore have the appropriate knowledge and tools to gain insight into the complex social relationships that exist in their classes. The use of social network analysis (SNA) techniques may be helpful in order to study and monitor the evolution of these social networks. This study tries to understand how teachers perceive SNA metrics from an intuitive point of view. Using this information, useful tools could be created that allow teachers to use SNA techniques to improve their understanding of student relationships. A number of interviews with different teachers were held in secondary schools in Spain, allowing SNA concepts to be related to the everyday terms used by the teachers to characterize their students. Results from the study have an impact on questionnaire design for gathering data from students in order to perform an SNA analysis and on the design of software applications that can help teachers to understand the results of this analysis.

To identify the most annoying noises in the hospital environment. One hundred and ninety-three patients took part in the study. A questionnaire collected the perceptions of patients from four hospitals in Spain, with three distinct units. The most annoying noises were the repetitive ones and the most unbearable source was the people who talk loudly. The daily hours were the noisiest and the most annoying, especially when patients wanted to rest and indicated that noise was annoying for them to get to sleep. Our results demonstrate how sensitive patients are toward noise in Spain. We also suggest some strategies to reduce the noise and the harmful physiological effects of increased sound levels in order to improve the quality of life in a healthcare environment.

El ámbito de la salud es uno de los entornos más relacionales que la ciencia conoce, pero raramente se analizan los contactos entre actores. La Teoría de Redes conceptualiza al individuo como parte de una estructura a la cual nutre y de la cual se nutre. El Análisis de Redes Sociales (ARS) es el método que da soporte a la Teoría de Redes. En el siguiente trabajo se plantean los objetivos de (i) dar a conocer la Teoría de Redes y su justificación en el contexto de salud, (ii) describir el ARS, (iii) mostrar investigación en salud con aplicación del ARS, (iv) presentar la evolución del ARS en la Enfermería Española. Entre las principales conclusiones se resalta que (i) el ARS se centra en la estructura y la entidad social como unidad de análisis, (ii) las redes son causa y efecto de los resultados de salud, (iii) existen investigaciones con ARS aplicadas al cuidado y lideradas por enfermeras, y (iv) para consolidar el conocimiento y el uso del paradigma del ARS es necesario crear redes cohesivas de investigadores y profesionales multidisciplinares.