Cited by 156Physical Activity and HealthMobile Health and mHealth ApplicationsContext-Aware Activity Recognition Systems

Effects of a Web-Based Intervention on Physical Activity and Metabolism in Older Adults: Randomized Controlled Trial

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Wijsman, Carolien A, Westendorp, Rudi GJ, Verhagen, Evert ALM, Catt, Michael, Slagboom, P Eline, de Craen, Anton JM, Broekhuizen, Karen, van Mechelen, Willem +3 more·2013·Journal of Medical Internet Research

Abstract

BACKGROUND: Lack of physical activity leads to detrimental changes in body composition and metabolism, functional decline, and increased risk of disease in old age. The potential of Web-assisted interventions for increasing physical activity and improving metabolism in older individuals holds great promise but to our knowledge it has not been studied. OBJECTIVE: The goal of our study was to assess whether a Web-based intervention increases physical activity and improves metabolic health in inactive older adults. METHODS: We conducted a 3-month randomized, waitlist-controlled trial in a volunteer sample of 235 inactive adults aged 60-70 years without diabetes. The intervention group received the Internet program Philips DirectLife, which was directed at increasing physical activity using monitoring and feedback by accelerometer and digital coaching. The primary outcome was relative increase in physical activity measured objectively using ankle- and wrist-worn accelerometers. Secondary outcomes of metabolic health included anthropometric measures and parameters of glucose metabolism. RESULTS: In total, 226 participants (97%) completed the study. At the ankle, activity counts increased by 46% (standard error [SE] 7%) in the intervention group, compared to 12% (SE 3%) in the control group (P(difference)<.001). Measured at the wrist, activity counts increased by 11% (SE 3%) in the intervention group and 5% (SE 2%) in the control group (P(difference)=.11). After processing of the data, this corresponded to a daily increase of 11 minutes in moderate-to-vigorous activity in the intervention group versus 0 minutes in the control group (P(difference)=.001). Weight decreased significantly more in the intervention group compared to controls (-1.5 kg vs -0.8 kg respectively, P=.046), as did waist circumference (-2.3 cm vs -1.3 cm respectively, P=.036) and fat mass (-0.6% vs 0.07% respectively, P=.025). Furthermore, insulin and HbA1c levels were significantly more reduced in the intervention group compared to controls (both P<.05). CONCLUSIONS: This was the first study to show that in inactive older adults, a 3-month Web-based physical activity intervention was effective in increasing objectively measured daily physical activity and improving metabolic health. Such Web-based interventions provide novel opportunities for large scale prevention of metabolic deregulation in our rapidly aging population.

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Authors
Wijsman, C. A., Westendorp, R. G., Verhagen, E. A., Catt, M., Slagboom, P. E., de Craen, A. J., Broekhuizen, K., van Mechelen, W., van Heemst, D., van der Ouderaa, F., & Mooijaart, S. P.
Affiliations
  • Leiden University Medical Center (NL)
  • Amsterdam Public Health (NL)
  • Newcastle University (GB)
Corresponding author
Wijsman, Carolien A
Venue
Journal of Medical Internet Research
Published
2013-11-06
Volume
15
Issue
11
Pages
e233
ISSN
1438-8871 (ISSN-L)
OpenAlex
W2142835543
Cited by
156
References
32
Citations by year
2026: 6 · 2025: 10 · 2024: 11 · 2023: 12 · 2022: 15 · 2021: 10 · 2020: 17 · 2019: 16 · 2018: 12 · 2017: 14 · 2016: 12 · 2015: 12 · 2014: 9
FWCI
7.66
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Journal of Medical Internet Research (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Pure Amsterdam UMC (publishedVersion)
  • Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • Leiden Repository (Leiden University) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
Funders
Nederlandse Organisatie voor Wetenschappelijk Onderzoek (050.060.810, 05040202)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords
online intervention, physical activity, older adults, metabolic health, accelerometer monitoring, digital coaching, weight loss, waist circumference, fat mass, insulin, HbA1c, glucose metabolism, sedentary behavior
MeSH terms
Aged, Female, Humans, Male, Metabolism, Middle Aged, Motor Activity, Surveys and Questionnaires, Waiting Lists, Internet

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