Cost-Effectiveness of a Whole-Body Vibration Program in Patients with Type 2 Diabetes: A Retrospective Study Protocol

Background: Type 2 diabetes mellitus (T2DM) is a chronic disorder, with patients exhibiting hyperglycemia in fasting and postprandial states. T2DM has several complications, including loss of sensation in more distal body parts. Good peripheral sensitivity is essential as this affects different parameters related to activities of daily living, such as leg strength and balance. The objectives of this project were to assess the effects of an 8-week whole-body vibration (WBV) training program on (1) vibration perception threshold (VPT), (2) balance, (3) strength, (4) lipidic profile, (5) health-related quality of life, (6) diabetic neuropathy, and (7) body composition in T2DM patients. Methods/Design: A double-blind, randomized controlled study, with WBV and placebo groups, was carried out. Both groups performed 8 weeks of intervention, with 3 sessions per week, completing a total of 24 sessions. There were two groups: the experimental group, i.e., the WBV group, who received WBV therapy; and the placebo group, who completed a simulated training program that was developed on a Galileo Fitness platform, connected to software displayed on a screen. The participant could see the parameters of the simulated vibration training (duration, amplitude, and frequency), but it was the software that controlled the speakers placed inside the vibration platform. Ninety patients with T2DM (56 males and 34 females) were recruited for the intervention. Participants were assigned equally to the WBV (n = 45) and placebo (n = 45) groups. Primary outcome measures were (1) HbA1c and (2) vibration threshold. Secondary measures were (1) health-related quality of life, (2) balance, (3) strength, (4) body composition, (5) blood pressure, (6) diabetic neuropathy, and (7) lipidic profile. Statistical analysis was carried out by treatment intention and protocol. Discussion: This project aimed to investigate the effects of WBV training on HbA1c, vibration threshold, and incremental cost-effectiveness ratio in T2DM patients. In future, guidelines will be provided for the incorporation of the main obtained conclusions into the social-sanitary system and businesses

El CRA entre fogones...cocinando valores

El trabajo obtuvo un Premio Tomás García Verdejo a las buenas prácticas educativa en la Comunidad Autónoma de Extremadura para el curso académico 2015/2016. Modalidad A.Se describe un proyecto llevado a cabo en el CRA Gloria Fuertes de Fuente del Arco (Badajoz) con el que se pretendía que los alumnos desarrollaran y unieran a su personalidad, habilidades y valores que les permitan tener una adecuada autonomía y autoestima, forjadas con actitudes enfocadas hacia el esfuerzo, la solidaridad, el respeto, la honradez, la igualdad, la participación, la tolerancia y el conocimiento de su entorno inmediato, a través del conocimiento y elaboración de productos típicos de los pueblos agrupados en el CRA (Fuente del Arco, Reina y Trasierra)ExtremaduraES

Discovering HIV related information by means of association rules and machine learning

Acquired immunodeficiency syndrome (AIDS) is still one of the main health problems worldwide. It is therefore essential to keep making progress in improving the prognosis and quality of life of affected patients. One way to advance along this pathway is to uncover connections between other disorders associated with HIV/AIDS-so that they can be anticipated and possibly mitigated. We propose to achieve this by using Association Rules (ARs). They allow us to represent the dependencies between a number of diseases and other specific diseases. However, classical techniques systematically generate every AR meeting some minimal conditions on data frequency, hence generating a vast amount of uninteresting ARs, which need to be filtered out. The lack of manually annotated ARs has favored unsupervised filtering, even though they produce limited results. In this paper, we propose a semi-supervised system, able to identify relevant ARs among HIV-related diseases with a minimal amount of annotated training data. Our system has been able to extract a good number of relationships between HIV-related diseases that have been previously detected in the literature but are scattered and are often little known. Furthermore, a number of plausible new relationships have shown up which deserve further investigation by qualified medical experts