| Title |
What is Your Risk of Contracting Alzheimer’s Disease? A Telematics Tool Helps you to Predict it
|
|---|---|
| Published in |
Journal of Medical Systems, October 2015
|
| DOI | 10.1007/s10916-015-0369-1 |
| Pubmed ID | |
| Authors |
Rodrigo Méndez-Sanz, Isabel de la Torre-Díez, Miguel López-Coronado |
| 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Unknown | 113 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 19 | 17% |
| Student > Master | 16 | 14% |
| Student > Ph. D. Student | 9 | 8% |
| Student > Doctoral Student | 8 | 7% |
| Researcher | 6 | 5% |
| Other | 19 | 17% |
| Unknown | 37 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 20% |
| Nursing and Health Professions | 10 | 9% |
| Psychology | 8 | 7% |
| Agricultural and Biological Sciences | 5 | 4% |
| Social Sciences | 5 | 4% |
| Other | 22 | 19% |
| Unknown | 41 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 November 2015.
All research outputs
#20,296,405
of 22,833,393 outputs
Outputs from Journal of Medical Systems
#999
of 1,149 outputs
Outputs of similar age
#238,746
of 284,665 outputs
Outputs of similar age from Journal of Medical Systems
#38
of 42 outputs
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