Elia Oliver

Improving Childhood Obesity Treatment Using New Technologies: The ETIOBE System

Childhood obesity is an increasing public health problem in western culture. Sedentary lifestyles and an “obesogenic environment” are the main influences on children leading to an increase in obesity. The objective of this paper is to describe an e-health platform for the treatment and prevention of childhood obesity called ETIOBE. This e-health platform is an e-therapy system for the treatment of obesity, aimed at improving treatment adherence and promoting the mechanisms of self-control in patients, to obtain weight loss maintenance and to prevent relapse by establishing healthy lifestyle habits. ETIOBE is composed of three different applications, the Clinician Support System (CSS), the Home Support System (HSS) and the Mobile Support System (MSS). The use of new Information and Communication (ICT) technologies can help clinicians to improve the effectiveness of weight loss treatments, especially in the case of children, and to achieve designated treatment goals.

PDA self-register system for eating disorders: a study on acceptability and satisfaction.

Self-monitoring techniques, such as the use of dietary registers, are considered to be central to cognitive-behavioral treatment of Eating Disorders (ED). This information allows the clinician to identify the triggers of the behaviors associated to ED as purges and/or binges, and the associated thoughts and emotions, helping to carry out a more accurate assessment. Traditionally these registers are made with paper and pencil mode, where the patient has to register every eating and the emotions/thoughts associated; but this system has some problems, as low portability, low adherence or methodological difficulties. The use of PDA for self-registers can help to solve these problems. The aim of this study is to study the levels of acceptability and satisfaction with PDAs self-register system specifically designed for assessment and treatment of ED. Samples of 30 subjects diagnosed with ED are receiving a PDA with software specifically designed for recording type and amount of food, emotions before and after eating and other behaviors. The participants are completing self-register daily during a week, and afterwards answer an acceptance and satisfaction questionnaire. This work is in progress at the moment. It is expected that the PDA system will show high levels of acceptance and satisfaction.

Positive mood induction and well being

The aim of this study is to test the role of consecutive positive mood induction virtual procedures on satisfaction of life of people with subclinical levels of sadness and/or anxiety. This is a work in progress and positive effects of mood induction on satisfaction and well being are expected.

Visual Data Mining With Self-organizing Maps for “Self-monitoring” Data Analysis

Data collected in psychological studies are mainly characterized by containing a large number of variables (multidimensional data sets). Analyzing multidimensional data can be a difficult task, especially if only classical approaches are used (hypothesis tests, analyses of variance, linear models, etc.). Regarding multidimensional models, visual techniques play an important role because they can show the relationships among variables in a data set. Parallel coordinates and Chernoff faces are good examples of this. This article presents self-organizing maps (SOM), a multivariate visual data mining technique used to provide global visualizations of all the data. This technique is presented as a tutorial with the aim of showing its capabilities, how it works, and how to interpret its results. Specifically, SOM analysis has been applied to analyze the data collected in a study on the efficacy of a cognitive and behavioral treatment (CBT) for childhood obesity. The objective of the CBT was to modify the eating habits and level of physical activity in a sample of children with overweight and obesity. Children were randomized into two treatment conditions: CBT traditional procedure (face-to-face sessions) and CBT supported by a web platform. In order to analyze their progress in the acquisition of healthier habits, self-register techniques were used to record dietary behavior and physical activity. In the traditional CBT condition, children completed the self-register using a paper-and-pencil procedure, while in the web platform condition, participants completed the self-register using an electronic personal digital assistant. Results showed the potential of SOM for analyzing the large amount of data necessary to study the acquisition of new habits in a childhood obesity treatment. Currently, the high prevalence of childhood obesity points to the need to develop strategies to manage a large number of data in order to design procedures adapted to personal characteristics and increase treatment efficacy.

Serious Games to Teach Nutrition Education to Children Between 9 to 12 Years Old. Pickit! and Cookit!

The current trend of increase in children obesity is worrying governments around the world and urgent actions are requested. The promotion of Nutrition Education in early stages has shown to be a factor to prevent the gain of weight in children. A tool that is gaining popularity in teaching contents to children are the Serious Games. The objective of this paper is to describe two Serious Games, Pickit! and Cookit! that has as objective to teach Nutrition Education to children between 9 to 12 years old. These games form part of the Modifying Eating and Attitudes through Learning platform, a pedagogical tool created for nutritionists and primary school teachers to transfer nutritional knowledge to children. These games contain relevant elements in the design of Serious Games as are avatars, levels and a system of points. It is expected that trough these games the children will increase their nutritional education knowledge.