| Literature DB >> 34973013 |
Ioannis Angelis1, Aikaterini Georgia Alvanou2, Nikolaos Avgoustis3, Spiridon Vergis4, Alexandros Zervopoulos5, Maria Malakopoulou6, Konstantinos Bezas7, Maria Nefeli Nikiforos8, Asterios Papamichail9, Andreana Stylidou10, Themis P Exarchos11, Panayiotis Vlamos12.
Abstract
Diagnosing and preventing Alzheimer's disease is a complex task, partly due to being characterized by a lengthy asymptomatic stage. In order to tackle this, most preclinical studies are multidimensional in nature and largely focus on prevention through lifestyle interventions, such as improving nutrition and introducing physical as well as cognitive exercise. With the widespread use of mobile smart devices today, mobile health applications can help inform high-risk individuals at a low cost, while also aiding in the prevention of cognitive decline through constant virtual coaching services that contribute to lifestyle interventions. Under this light, a mobile application is developed in the context of this paper that provides risk assessment of individuals, daily monitoring of factors that have been found to help prevent cognitive impairment, and individually tailored guidance based on the individual's progress. The developed application is also capable of reassessing users' risk to track their progress, while also providing these services in an intuitive and user-friendly manner, which could enable the future development of more accurate models through the collected data.Entities:
Keywords: Alzheimer’s disease; Cognitive decline; Lifestyle intervention; Mobile applications
Mesh:
Year: 2021 PMID: 34973013 DOI: 10.1007/978-3-030-78775-2_11
Source DB: PubMed Journal: Adv Exp Med Biol ISSN: 0065-2598 Impact factor: 2.622