Web-Based Physical Activity Interventions for Older Adults: A Review

  • Hazwani Mohd MohadisEmail author
  • Nazlena Mohamad Ali
  • Suzana Shahar
  • Alan F. Smeaton
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9429)


Most web-based physical activity interventions were built based on the principles of universal design and may have overlooked age-related impairments experienced by older adult. Thus, it is intriguing to know how successful these web-based interventions are in enhancing older adult’s physical activity level despite of these shortcomings. The objective of this study hence is to review published literature regarding interactive web-based interventions promoting physical activity among older adults. EBSCOhost, ISI Web of Science and ScienceDirect databases were searched to identify relevant peer-reviewed papers. Results were summarized in a qualitative way. We included 15 papers reporting on web-based interventions with physical activity components. Ten and two studies respectively indicated positive and negative outcomes, while the outcomes of the remaining three studies remain unclear. Despite of computer illiteracy and age-related impairments experienced, there is preliminary evidence that suggest web-based interventions are effective in encouraging physical activity among older adults.


Web-based intervention Physical activity Older adults Behaviour change 



The work was supported by the Ministry of Science, Technology and Innovation (MOSTI), E-Science Fund research grant (06-01-02-SF1083). Alan Smeaton was supported by Science Foundation Ireland under grant 12/RC/2289.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Hazwani Mohd Mohadis
    • 1
    Email author
  • Nazlena Mohamad Ali
    • 1
  • Suzana Shahar
    • 2
  • Alan F. Smeaton
    • 3
  1. 1.Institute of Visual InformaticsUniversiti Kebangsaan MalaysiaBangiMalaysia
  2. 2.Faculty of Health SciencesUniversiti Kebangsaan MalaysiaKuala LumpurMalaysia
  3. 3.Insight Centre for Data AnalyticsDublin City UniversityGlasnevinIreland

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