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Cited by 220Physical Activity and HealthMobile Health and mHealth ApplicationsContext-Aware Activity Recognition Systems

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Feasibility and Acceptability of a Wearable Technology Physical Activity Intervention With Telephone Counseling for Mid-Aged and Older Adults: A Randomized Controlled Pilot Trial

Open access
Lyons, Elizabeth J, Swartz, Maria C, Lewis, Zakkoyya H, Martinez, Eloisa, Jennings, Kristofer·2017·JMIR mhealth and uhealth
DOI 10.2196/mhealth.6967PMC PMC5359416
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Abstract

BACKGROUND: As adults age, their physical activity decreases and sedentary behavior increases, leading to increased risk of negative health outcomes. Wearable electronic activity monitors have shown promise for delivering effective behavior change techniques. However, little is known about the feasibility and acceptability of non-Fitbit wearables (Fitbit, Inc, San Francisco, California) combined with telephone counseling among adults aged more than 55 years. OBJECTIVE: The purpose of our study was to determine the feasibility, acceptability, and effect on physical activity of an intervention combining a wearable physical activity monitor, tablet device, and telephone counseling among adults aged 55-79 years. METHODS: Adults (N=40, aged 55-79 years, body mass index=25-35, <60 min of activity per week) were randomized to receive a 12-week intervention or to a wait list control. Intervention participants received a Jawbone Up24 monitor, a tablet with the Jawbone Up app installed, and brief weekly telephone counseling. Participants set daily and weekly step goals and used the monitor's idle alert to notify them when they were sedentary for more than 1 h. Interventionists provided brief counseling once per week by telephone. Feasibility was measured using observation and study records, and acceptability was measured by self-report using validated items. Physical activity and sedentary time were measured using ActivPAL monitors following standard protocols. Body composition was measured using dual-energy x-ray absorptiometry scans, and fitness was measured using a 6-min walk test. RESULTS: Participants were 61.48 years old (SD 5.60), 85% (34/40) female, 65% (26/40) white. Average activity monitor wear time was 81.85 (SD 3.73) of 90 days. Of the 20 Up24 monitors, 5 were reported broken and 1 lost. No related adverse events were reported. Acceptability items were rated at least 4 on a scale of 1-5. Effect sizes for most outcomes were small, including stepping time per day (d=0.35), steps per day (d=0.26), sitting time per day (d=0.21), body fat (d=0.17), and weight (d=0.33). CONCLUSIONS: The intervention was feasible and acceptable in this population. Effect sizes were similar to the sizes found using other wearable electronic activity monitors, indicating that when combined with telephone counseling, wearable activity monitors are a potentially effective tool for increasing physical activity and decreasing sedentary behavior. TRIAL REGISTRATION: Clinicaltrials.gov NCT01869348; https://clinicaltrials.gov/ct2/show/NCT01869348 (Archived by WebCite at http://www.webcitation.org/6odlIolqy).

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Figure 1 CONSORT diagram.
Figure 1 CONSORT diagram.CC BY · PubMed Central
Figure 2 Screenshot of the Jawbone Up app.
Figure 2 Screenshot of the Jawbone Up app.CC BY · PubMed Central
Figure 3 Changes in wear of the Up24 monitor by week (mean, SD).
Figure 3 Changes in wear of the Up24 monitor by week (mean, SD).CC BY · PubMed Central

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Research works printed but not linked: 3

  1. 2002, Am J Prev Med, 22, 67
  2. Viera, AJ, 2007, Fam Med, 39, 132
  3. Rikli, R, 2013, Senior Fitness Test Manual. 2nd ed

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Metadata

Authors
Lyons, E. J., Swartz, M. C., Lewis, Z. H., Martinez, E., & Jennings, K.
Affiliations
The University of Texas Medical Branch at Galveston (US)
Corresponding author
Lyons, Elizabeth J
ORCID
Venue
JMIR mhealth and uhealth
Publisher
JMIR Publications Inc.
Published
2017-03-06
Volume
5
Issue
3
Pages
e28
ISSN
2291-5222 (ISSN-L)
DOI
10.2196/mhealth.6967
PMC
PMC5359416
OpenAlex
W2592364118
Cited by
220
References
40
Citations by year
2026: 8 · 2025: 30 · 2024: 21 · 2023: 22 · 2022: 23 · 2021: 32 · 2020: 39 · 2019: 17 · 2018: 22 · 2017: 6
FWCI
16.98
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • JMIR mhealth and uhealth (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Institute on Aging (P30AG024832)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › 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
wearable activity trackers, physical activity interventions, telephone counseling, sedentary behavior, step goals, feasibility and acceptability, body composition, weight loss, tablets, behaviour change techniques, 6-minute walk test, dual-energy X-ray absorptiometry, body mass index

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