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A Wellness Mobile Application for Smart Health: Pilot Study Design and Results
Wellness is one of the main factors crucial in the avoidance of illness or disease. Experience has shown that healthy lifestyle programs are an important strategy to prevent the major shared risk factors for many diseases including cardiovascular diseases, strokes, diabetes, obesity, and hypertensio...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375897/ https://www.ncbi.nlm.nih.gov/pubmed/28304332 http://dx.doi.org/10.3390/s17030611 |
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author | Sannino, Giovanna Forastiere, Manolo De Pietro, Giuseppe |
author_facet | Sannino, Giovanna Forastiere, Manolo De Pietro, Giuseppe |
author_sort | Sannino, Giovanna |
collection | PubMed |
description | Wellness is one of the main factors crucial in the avoidance of illness or disease. Experience has shown that healthy lifestyle programs are an important strategy to prevent the major shared risk factors for many diseases including cardiovascular diseases, strokes, diabetes, obesity, and hypertension. Within the ambit of the Smart Health 2.0 project, a Wellness App has been developed which has the aim of providing people with something similar to a personal trainer. This Wellness App is able to gather information about the subject, to classify her/him by evaluating some of her/his specific characteristics (physical parameters and lifestyle) and to make personal recommendations to enhance her/his well-being. The application can also give feedback on the effectiveness of the specified characteristics by monitoring their evolution over time, and can provide a positive incentive to stimulate the subject to achieve her/his wellness goals. In this paper, we present a pilot study conducted in Calabria, a region of Italy, aimed at an evaluation of the validity, usability, and navigability of the app, and of people’s level of satisfaction with it. The preliminary results show an average score of 77.16 for usability and of 76.87 for navigability, with an improvement of the Wellness Index with a significance average of 95% and of the Mediterranean Adequacy Index with a significance average of as high as 99%. |
format | Online Article Text |
id | pubmed-5375897 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-53758972017-04-10 A Wellness Mobile Application for Smart Health: Pilot Study Design and Results Sannino, Giovanna Forastiere, Manolo De Pietro, Giuseppe Sensors (Basel) Article Wellness is one of the main factors crucial in the avoidance of illness or disease. Experience has shown that healthy lifestyle programs are an important strategy to prevent the major shared risk factors for many diseases including cardiovascular diseases, strokes, diabetes, obesity, and hypertension. Within the ambit of the Smart Health 2.0 project, a Wellness App has been developed which has the aim of providing people with something similar to a personal trainer. This Wellness App is able to gather information about the subject, to classify her/him by evaluating some of her/his specific characteristics (physical parameters and lifestyle) and to make personal recommendations to enhance her/his well-being. The application can also give feedback on the effectiveness of the specified characteristics by monitoring their evolution over time, and can provide a positive incentive to stimulate the subject to achieve her/his wellness goals. In this paper, we present a pilot study conducted in Calabria, a region of Italy, aimed at an evaluation of the validity, usability, and navigability of the app, and of people’s level of satisfaction with it. The preliminary results show an average score of 77.16 for usability and of 76.87 for navigability, with an improvement of the Wellness Index with a significance average of 95% and of the Mediterranean Adequacy Index with a significance average of as high as 99%. MDPI 2017-03-17 /pmc/articles/PMC5375897/ /pubmed/28304332 http://dx.doi.org/10.3390/s17030611 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sannino, Giovanna Forastiere, Manolo De Pietro, Giuseppe A Wellness Mobile Application for Smart Health: Pilot Study Design and Results |
title | A Wellness Mobile Application for Smart Health: Pilot Study Design and Results |
title_full | A Wellness Mobile Application for Smart Health: Pilot Study Design and Results |
title_fullStr | A Wellness Mobile Application for Smart Health: Pilot Study Design and Results |
title_full_unstemmed | A Wellness Mobile Application for Smart Health: Pilot Study Design and Results |
title_short | A Wellness Mobile Application for Smart Health: Pilot Study Design and Results |
title_sort | wellness mobile application for smart health: pilot study design and results |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375897/ https://www.ncbi.nlm.nih.gov/pubmed/28304332 http://dx.doi.org/10.3390/s17030611 |
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