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Adherence to eHealth-Delivered Exercise in Adults with no Specific Health Conditions: A Scoping Review on a Conceptual Challenge

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Listed:
  • Andrea Fuente-Vidal

    (Research Group on Health, Physical Activity and Sport (SAFE), Blanquerna School of Psychology, Education and Sport Sciences, Universitat Ramon Llull, 08022 Barcelona, Spain
    Research Group on Methodology, Methods, Models and Outcomes of Health and Social Sciences (M 3 O), Faculty of Health Sciences and Welfare, Centre for Health and Social Care Research (CESS), University of Vic—Central University of Catalonia (UVic-UCC), 08500 Vic, Spain)

  • Myriam Guerra-Balic

    (Research Group on Health, Physical Activity and Sport (SAFE), Blanquerna School of Psychology, Education and Sport Sciences, Universitat Ramon Llull, 08022 Barcelona, Spain)

  • Oriol Roda-Noguera

    (Fundació Naccari-Ravà, 08036 Barcelona, Spain)

  • Javier Jerez-Roig

    (Research Group on Methodology, Methods, Models and Outcomes of Health and Social Sciences (M 3 O), Faculty of Health Sciences and Welfare, Centre for Health and Social Care Research (CESS), University of Vic—Central University of Catalonia (UVic-UCC), 08500 Vic, Spain)

  • Joel Montane

    (Research Group on Health, Physical Activity and Sport (SAFE), Blanquerna School of Psychology, Education and Sport Sciences, Universitat Ramon Llull, 08022 Barcelona, Spain
    Blanquerna School of Health Science, Universitat Ramon Llull, 08025 Barcelona, Spain)

Abstract

Adherence has emerged as a focal point and critical determinant of success for physical activity interventions. The term is used for both traditional and digital interventions, and for prescribed and nonprescribed activities. Many other terms for adherence are being used interchangeably, as there is no consensus on its precise conceptualization. This scoping review aimed to advance the definition of adherence to eHealth programs, specifically for the adult population with no specific health conditions. A total of 2983 papers, published between 1 January 2016 and 13 March 2022, were retrieved from different databases (including grey literature). Of those, 13 studies met the eligibility criteria and were included for review. The selected studies used a wide array of technologies and consisted mainly of exercise interventions. Most of the reviewed publications contemplated exercise adherence as a percentage of expected dose. Most (8 out of 13) studies neither assessed nor specified an expected use of the involved technology. Results suggest a need for homogeneity in the conceptualization of adherence to physical activity and exercise, including those interventions delivered digitally.

Suggested Citation

  • Andrea Fuente-Vidal & Myriam Guerra-Balic & Oriol Roda-Noguera & Javier Jerez-Roig & Joel Montane, 2022. "Adherence to eHealth-Delivered Exercise in Adults with no Specific Health Conditions: A Scoping Review on a Conceptual Challenge," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10214-:d:890684
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    References listed on IDEAS

    as
    1. Meng Zhang & Wei Wang & Mingye Li & Haomin Sheng & Yifei Zhai, 2022. "Efficacy of Mobile Health Applications to Improve Physical Activity and Sedentary Behavior: A Systematic Review and Meta-Analysis for Physically Inactive Individuals," IJERPH, MDPI, vol. 19(8), pages 1-17, April.
    2. Abigail S. Morris & Kelly A. Mackintosh & Neville Owen & Paddy C. Dempsey & David W. Dunstan & Melitta A. McNarry, 2021. "Rise and Recharge: Exploring Employee Perceptions of and Contextual Factors Influencing an Individual-Level E-Health Smartphone Intervention to Reduce Office Workers’ Sedentary Time at Work," IJERPH, MDPI, vol. 18(18), pages 1-15, September.
    3. Oscar Jossa-Bastidas & Sofia Zahia & Andrea Fuente-Vidal & Néstor Sánchez Férez & Oriol Roda Noguera & Joel Montane & Begonya Garcia-Zapirain, 2021. "Predicting Physical Exercise Adherence in Fitness Apps Using a Deep Learning Approach," IJERPH, MDPI, vol. 18(20), pages 1-32, October.
    4. Sarah J Iribarren & Kenrick Cato & Louise Falzon & Patricia W Stone, 2017. "What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-20, February.
    5. Andrea Albergoni & Florentina J. Hettinga & Wim Stut & Francesco Sartor, 2020. "Factors Influencing Walking and Exercise Adherence in Healthy Older Adults Using Monitoring and Interfacing Technology: Preliminary Evidence," IJERPH, MDPI, vol. 17(17), pages 1-18, August.
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