Literature DB >> 36269725

Understanding super engaged users in the 10,000 Steps online physical activity program: A qualitative study.

Corneel Vandelanotte1, Cindy Hooker1, Anetta Van Itallie1, Anum Urooj1, Mitch J Duncan2.   

Abstract

OBJECTIVE: Sustained engagement with Internet-based behavioural interventions is crucial to achieve successful behaviour change outcomes. As this has been problematic in many interventions, a lot of research has focused on participants with little or no engagement. However, few studies have attempted to understand users with continuous long-term engagement, the so called 'super engaged users', and why they keep on using programs when everybody else has long stopped. Therefore, the aim of this research was to qualitatively examine characteristics, usage profile and motivations of super engaged users in the 10,000 Steps program.
METHODS: Twenty 10,000 Steps users (10 with more than 1 year of engagement, and 10 with more than 10 years of engagement) participated in semi-structured interviews, that were transcribed and thematically analysed.
RESULTS: Participants were aged 60 years on average, with more than half being overweight/obese and/or suffering from chronic disease despite logging high step counts (219 million steps per participant on average) on the 10,000 Steps platform. Participants indicated that the reasons for sustained use were that engaging the program had become a habit, that the program kept them motivated, and that it was easy to use. Few participants had suggestions for improvement or expressed there were program elements they did not like. Uptake of program innovations (e.g., app-version, use of advanced activity tracker instead of pedometer) was modest among the super engaged users.
CONCLUSION: The findings from this study emphasise the need for digital health programs to incorporate features that will support the development of habits as soon as participants start to engage with the program. While a program's usability, user-friendliness and acceptability are important to engage and retain new users, habit formation may be more important for sustained long-term engagement with the behaviour and the program.

Entities:  

Year:  2022        PMID: 36269725      PMCID: PMC9586392          DOI: 10.1371/journal.pone.0274975

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


  28 in total

Review 1.  Website-delivered physical activity interventions a review of the literature.

Authors:  Corneel Vandelanotte; Kym M Spathonis; Elizabeth G Eakin; Neville Owen
Journal:  Am J Prev Med       Date:  2007-07       Impact factor: 5.043

2.  Effect of pedometer-based physical activity interventions: a meta-analysis.

Authors:  Minsoo Kang; Simon J Marshall; Tiago V Barreira; Jin-Oh Lee
Journal:  Res Q Exerc Sport       Date:  2009-09       Impact factor: 2.500

3.  A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: the CALO-RE taxonomy.

Authors:  Susan Michie; Stefanie Ashford; Falko F Sniehotta; Stephan U Dombrowski; Alex Bishop; David P French
Journal:  Psychol Health       Date:  2011-06-28

4.  Can a website-delivered computer-tailored physical activity intervention be acceptable, usable, and effective for older people?

Authors:  Rahel Ammann; Corneel Vandelanotte; Hein de Vries; W Kerry Mummery
Journal:  Health Educ Behav       Date:  2012-10-16

5.  Every Step Counts: Understanding the Success of Implementing The 10,000 Steps Project.

Authors:  Corneel Vandelanotte; Anetta Van Itallie; Wendy Brown; W Kerry Mummery; Mitch J Duncan
Journal:  Stud Health Technol Inform       Date:  2020-03-02

6.  Are web-based personally tailored physical activity videos more effective than personally tailored text-based interventions? Results from the three-arm randomised controlled TaylorActive trial.

Authors:  Corneel Vandelanotte; Camille E Short; Ronald C Plotnikoff; Amanda Rebar; Stephanie Alley; Stephanie Schoeppe; Doreen F Canoy; Cindy Hooker; Deborah Power; Christopher Oldmeadow; Lucy Leigh; Quyen To; W Kerry Mummery; Mitch J Duncan
Journal:  Br J Sports Med       Date:  2020-11-03       Impact factor: 13.800

7.  Towards parsimony in habit measurement: testing the convergent and predictive validity of an automaticity subscale of the Self-Report Habit Index.

Authors:  Benjamin Gardner; Charles Abraham; Phillippa Lally; Gert-Jan de Bruijn
Journal:  Int J Behav Nutr Phys Act       Date:  2012-08-30       Impact factor: 6.457

8.  Using smartphone technology to monitor physical activity in the 10,000 Steps program: a matched case-control trial.

Authors:  Morwenna Kirwan; Mitch J Duncan; Corneel Vandelanotte; W Kerry Mummery
Journal:  J Med Internet Res       Date:  2012-04-20       Impact factor: 5.428

9.  The law of attrition.

Authors:  Gunther Eysenbach
Journal:  J Med Internet Res       Date:  2005-03-31       Impact factor: 5.428

10.  Interest and preferences for using advanced physical activity tracking devices: results of a national cross-sectional survey.

Authors:  Stephanie Alley; Stephanie Schoeppe; Diana Guertler; Cally Jennings; Mitch J Duncan; Corneel Vandelanotte
Journal:  BMJ Open       Date:  2016-07-07       Impact factor: 2.692

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