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      Mobile Health Applications to Promote Active and Healthy Ageing

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          Abstract

          The European population is ageing, and there is a need for health solutions that keep older adults independent longer. With increasing access to mobile technology, such as smartphones and smartwatches, the development and use of mobile health applications is rapidly growing. To meet the societal challenge of changing demography, mobile health solutions are warranted that support older adults to stay healthy and active and that can prevent or delay functional decline. This paper reviews the literature on mobile technology, in particular wearable technology, such as smartphones, smartwatches, and wristbands, presenting new ideas on how this technology can be used to encourage an active lifestyle, and discusses the way forward in order further to advance development and practice in the field of mobile technology for active, healthy ageing.

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          Factors influencing acceptance of technology for aging in place: a systematic review.

          Sebastiaan T M Peek, Eveline Wouters, Joost van Hoof … (2014)
          To provide an overview of factors influencing the acceptance of electronic technologies that support aging in place by community-dwelling older adults. Since technology acceptance factors fluctuate over time, a distinction was made between factors in the pre-implementation stage and factors in the post-implementation stage.
          Article 0 comments Cited 294 times – based on 0 reviews     Review now
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            Harnessing Different Motivational Frames via Mobile Phones to Promote Daily Physical Activity and Reduce Sedentary Behavior in Aging Adults

            Abby King, Eric B Hekler, Lauren Grieco … (2013)
            Mobile devices are a promising channel for delivering just-in-time guidance and support for improving key daily health behaviors. Despite an explosion of mobile phone applications aimed at physical activity and other health behaviors, few have been based on theoretically derived constructs and empirical evidence. Eighty adults ages 45 years and older who were insufficiently physically active, engaged in prolonged daily sitting, and were new to smartphone technology, participated in iterative design development and feasibility testing of three daily activity smartphone applications based on motivational frames drawn from behavioral science theory and evidence. An “analytically” framed custom application focused on personalized goal setting, self-monitoring, and active problem solving around barriers to behavior change. A “socially” framed custom application focused on social comparisons, norms, and support. An “affectively” framed custom application focused on operant conditioning principles of reinforcement scheduling and emotional transference to an avatar, whose movements and behaviors reflected the physical activity and sedentary levels of the user. To explore the applications' initial efficacy in changing regular physical activity and leisure-time sitting, behavioral changes were assessed across eight weeks in 68 participants using the CHAMPS physical activity questionnaire and the Australian sedentary behavior questionnaire. User acceptability of and satisfaction with the applications was explored via a post-intervention user survey. The results indicated that the three applications were sufficiently robust to significantly improve regular moderate-to-vigorous intensity physical activity and decrease leisure-time sitting during the 8-week behavioral adoption period. Acceptability of the applications was confirmed in the post-intervention surveys for this sample of midlife and older adults new to smartphone technology. Preliminary data exploring sustained use of the applications across a longer time period yielded promising results. The results support further systematic investigation of the efficacy of the applications for changing these key health-promoting behaviors.
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              Global recommendations on physical activity for health

              W. WHO, WH Organization, 1. World Health Organization … (2010)
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                Author and article information

                Contributors
                Vittorio M. N. Passaro: Role: Academic Editor
                Journal
                Journal ID (nlm-ta): Sensors (Basel)
                Journal ID (iso-abbrev): Sensors (Basel)
                Journal ID (publisher-id): sensors
                Title: Sensors (Basel, Switzerland)
                Publisher: MDPI
                ISSN (Electronic): 1424-8220
                Publication date (Electronic): 18 March 2017
                Publication date Collection: March 2017
                Volume: 17
                Issue: 3
                Electronic Location Identifier: 622
                Affiliations
                [1 ]Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway; beatrix.vereijken@ 123456ntnu.no (B.V.); kristin.taraldsen@ 123456ntnu.no (K.T.)
                [2 ]Robert Bosch Foundation for Medical Research, 70184 Stuttgart, Germany; Clemens.Becker@ 123456rbk.de
                [3 ]School of Health Sciences, University of Manchester, and South Manchester University Hospital NHS Trust, and Manchester Academic Health Sciences Centre, Manchester M13 9PL, UK; chris.todd@ 123456manchester.ac.uk
                [4 ]Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, 1081BT Amsterdam, The Netherlands; m.pijnappels@ 123456vu.nl
                [5 ]Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, 1015 Lausanne, Switzerland; kamiar.aminian@ 123456epfl.ch
                [6 ]Department of Electrical, Electronic and Information Engineering, University of Bologna, 40126 Bologna, Italy; sabato.mellone@ 123456unibo.it
                Author notes
                [†]

                These two authors share the first authorship.

                Article
                Publisher ID: sensors-17-00622
                DOI: 10.3390/s17030622
                PMC ID: 5375908
                PubMed ID: 28335475
                SO-VID: 66d1fa6f-1094-4071-9dfc-57bb9e9de17c
                Copyright © © 2017 by the authors.
                License:

                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/).

                History
                Date received : 03 November 2016
                Date accepted : 15 March 2017
                Categories
                Subject: Article

                ScienceOpen disciplines: Biomedical engineering
                Keywords: healthy ageing,mobile technology,mobile health applications,activity monitoring,smartphones,smartwatches,wristbands
                Data availability:
                ScienceOpen disciplines: Biomedical engineering
                Keywords: healthy ageing, mobile technology, mobile health applications, activity monitoring, smartphones, smartwatches, wristbands

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