title: What is Your Risk of Contracting Alzheimer's Disease? A Telematics Tool Helps you to Predict it.
abstract: Alzheimer's disease (AD) is the most common dementia in developed countries. Between the identified risk factors, one of the most important is the age. Its prevalence reaches 24 % in men and 33 % in women over 85 years. Increase in life expectancy, making it a serious public health problem. Prevention of Alzheimer's disease represents a major challenge to health. Given that Alzheimer's disease is largely dependent on the genetics of each person and uninterrupted progress of the age, which is try to make people aware that there are other factors that can alter your chance of developing the Alzheimer disease and although currently not reduce, help is not increased in the near or distant future.The aim of this paper is to develop and evaluate a Web-Mobile application (Alzhe Alert) used to calculate the risk of Alzheimer's from a short questionnaire using a computer or mobile device, so that any user, without requiring computer skills, can access the website to estimate their risk of developing the disease in the coming years depending on their habits and daily basis activities. The users who have realized the questionnaire can to observe in a graph the result, and they will know which is at risk for Alzheimer's at present and over the next 50 years if they continue with the same habits and lifestyle. The objective is that the users can be aware of the risk they have different habits of life about their health. Currently, 243 users (84 women and 159 men) of white race have completed the questionnaire. 76 % of the users have got a risk below the average.
authors.affiliation: Department of Signal Theory and Communications, and Telematics Engineering, University of Valladolid, Paseo de Belén, 15, 47011, Valladolid, Spain. rodrigomendezsanz@hotmail.com.
authors.forename: Rodrigo
authors.initials: R
authors.lastname: Méndez-Sanz
authors.affiliation: Department of Signal Theory and Communications, and Telematics Engineering, University of Valladolid, Paseo de Belén, 15, 47011, Valladolid, Spain. isator@tel.uva.es.
authors.forename: Isabel
authors.initials: I
authors.lastname: de la Torre-Díez
authors.affiliation: Department of Signal Theory and Communications, and Telematics Engineering, University of Valladolid, Paseo de Belén, 15, 47011, Valladolid, Spain. miglop@tel.uva.es.
authors.forename: Miguel
authors.initials: M
authors.lastname: López-Coronado
mesh_terms: D000367:Age Factors; D000544:Alzheimer Disease / Q000453:epidemiology*; D001057:Apolipoproteins E / Q000235:genetics; D005260:Female; D020022:Genetic Predisposition to Disease; D015438:Health Behavior; D006801:Humans; D020407:Internet; D008019:Life Style; D008297:Male; D063731:Mobile Applications; D018570:Risk Assessment; D012307:Risk Factors; D012737:Sex Factors; D012959:Socioeconomic Factors; D017216:Telemedicine / Q000379:methods*
chemical_list: D001057:Apolipoproteins E
keywords: Alzheimer; Prevention; Risk; Web-mobile; e-Health