Next Article in Journal
Study on Climate and Grassland Fire in HulunBuir, Inner Mongolia Autonomous Region, China
Next Article in Special Issue
Posture Detection Based on Smart Cushion for Wheelchair Users
Previous Article in Journal
A Context-Aware S-Health Service System for Drivers
Previous Article in Special Issue
Performance Analysis of Different Backoff Algorithms for WBAN-Based Emerging Sensor Networks
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(3), 611; doi:10.3390/s17030611

A Wellness Mobile Application for Smart Health: Pilot Study Design and Results

1
Institute of High Performance Computing and Networking (ICAR) of National Research Council (CNR), 80131 Naples, Italy
2
NEATEC S.p.A., Pozzuoli, 80078 Naples, Italy
*
Author to whom correspondence should be addressed.
Academic Editors: Giancarlo Fortino, Hassan Ghasemzadeh, Wenfeng Li, Yin Zhang and Luca Benini
Received: 15 February 2017 / Revised: 13 March 2017 / Accepted: 15 March 2017 / Published: 17 March 2017
(This article belongs to the Special Issue Advances in Body Sensor Networks: Sensors, Systems, and Applications)
View Full-Text   |   Download PDF [3601 KB, uploaded 17 March 2017]   |  

Abstract

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%. View Full-Text
Keywords: Wellness App; lifestyle monitoring; pilot study Wellness App; lifestyle monitoring; pilot study
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Sannino, G.; Forastiere, M.; De Pietro, G. A Wellness Mobile Application for Smart Health: Pilot Study Design and Results. Sensors 2017, 17, 611.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top