Kebede-et-al_2018_Identifying Evidence-Informed Physical Activity Apps_Content Analysis.pdf 475,37KB
1000 Titel
  • Identifying Evidence-Informed Physical Activity Apps: Content Analysis
1000 Autor/in
  1. Kebede, Mihiretu |
  2. Steenbock, Berit |
  3. Helmer, Stefanie Maria |
  4. Sill, Janna |
  5. Möllers, Tobias |
  6. Pischke, Claudia |
1000 Erscheinungsjahr 2018
1000 LeibnizOpen
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-03-14
1000 Erschienen in
1000 Quellenangabe
  • 6(12): e10314
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • |
  • |
1000 Ergänzendes Material
  • |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Regular moderate to vigorous physical activity is essential for maintaining health and preventing the onset of chronic diseases. Both global rates of smartphone ownership and the market for physical activity and fitness apps have grown rapidly in recent years. The use of physical activity and fitness apps may assist the general population in reaching evidence-based physical activity recommendations. However, it remains unclear whether there are evidence-informed physical activity apps and whether behavior change techniques (BCTs) previously identified as effective for physical activity promotion are used in these apps. OBJECTIVE: This study aimed to identify English and German evidence-informed physical activity apps and BCT employment in those apps. METHODS: We identified apps in a systematic search using 25 predefined search terms in the Google Play Store. Two reviewers independently screened the descriptions of apps and screenshots applying predefined inclusion and exclusion criteria. Apps were included if (1) their description contained information about physical activity promotion; (2) they were in English or German; (3) physical activity recommendations of the World Health Organization or the American College of Sports Medicine were mentioned; and (4) any kind of objective physical activity measurement was included. Two researchers downloaded and tested apps matching the inclusion criteria for 2 weeks and coded their content using the Behavioral Change Technique Taxonomy v1 (BCTTv1). RESULTS: The initial screening in the Google Play Store yielded 6018 apps, 4108 of which were not focused on physical activity and were not in German or English. The descriptions of 1216 apps were further screened for eligibility. Duplicate apps and light versions (n=694) and those with no objective measurement of physical activity, requiring additional equipment, or not outlining any physical activity guideline in their description (n=1184) were excluded. Of the remaining 32 apps, 4 were no longer available at the time of the download. Hence, 28 apps were downloaded and tested; of these apps, 14 did not contain any physical activity guideline as an app feature, despite mentioning it in the description, 5 had technical problems, and 3 did not provide objective physical activity measurement. Thus, 6 were included in the final analyses. Of 93 individual BCTs of the BCTTv1, on average, 9 (SD 5) were identified in these apps. Of 16 hierarchical clusters, on average, 5 (SD 3) were addressed. Only BCTs of the 2 hierarchical clusters “goals and planning” and “feedback and monitoring” were identified in all apps. CONCLUSIONS: Despite the availability of several thousand physical activity and fitness apps for Android platforms, very few addressed evidence-based physical activity guidelines and provided objective physical activity measurement. Furthermore, available descriptions did not accurately reflect the app content and only a few evidence-informed physical activity apps incorporated several BCTs. Future apps should address evidence-based physical activity guidelines and a greater scope of BCTs to further increase their potential impact for physical activity promotion.
1000 Sacherschließung
lokal Mobile phone
lokal Physical activity
lokal mHealth
lokal Mobile apps
lokal Guidelines
1000 Fachgruppe
  1. Medizin |
  2. Gesundheitswesen |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
1000 Label
1000 Förderer
  1. Leibniz-Institute for Prevention Research and Epidemiology - BIPS
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. Internal grant for innovative research
1000 Dateien
  1. Identifying Evidence-Informed Physical Activity Apps: Content Analysis
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6413239.rdf
1000 Erstellt am 2019-03-06T12:03:05.424+0100
1000 Erstellt von 266
1000 beschreibt frl:6413239
1000 Bearbeitet von 122
1000 Zuletzt bearbeitet Thu Jan 30 19:39:40 CET 2020
1000 Objekt bearb. Wed Mar 06 12:38:45 CET 2019
1000 Vgl. frl:6413239
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