The effect of real-time monitoring of physical activity intensity in diabetic patients
Abstract
AIM: To evaluate the effects of an intensity display type accelerometer on diabetic patients' physical activity. METHODS: This was a two-arm, non-randomized controlled study. Both groups received information about the recommendation of 150 min/week moderate-to-vigorous physical activity (MVPA). The intervention group used an intensity display type accelerometer to monitor their physical activity intensity for 10 days at baseline and 3 months later. We compared intervention and control groups after 3 and 6 months. Primary outcomes were MVPA and number of steps over 7 days. Secondary outcomes were glycosylated hemoglobin (HbA1c), body mass index, and self-management. RESULTS: Of 62 participants, 30 and 32 were included in the intervention and control groups, respectively. Mean age in each group was 59.7 ± 10.8 and 58.8 ± 10.2 years, and mean HbA1c was 6.9 ± 0.9% and 6.9 ± 0.8%, respectively. There were no significant differences between the intervention and control groups at either time point, and no outcomes showed significant changes. In a subgroup analysis by physical activity intensity, MVPA of active individuals in the control group significantly decreased at 6 months from baseline. MVPA and number of steps among inactive individuals in the intervention group significantly increased at 6 months from baseline. Self-management of the intervention group showed a trend toward improvement, but HbA1c and body mass index showed no significant change. CONCLUSIONS: Monitoring physical activity intensity led to increased MVPA of inactive patients and maintained MVPA of active patients with diabetes mellitus. This straightforward intervention could be applied in clinical practice.
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Real-time feedback enhances the intervention potential of digital wearable devices by transforming data into actionable information through reminders, notifications, trend displays, and progress summaries.
“Real-time feedback further enhances the intervention potential of digital wearable devices by transforming data into actionable information through reminders, notifications, trend displays, and progress summaries (15, 17, 21, 22).”
Reward mechanisms, progress tracking, and achievement feedback may help sustain engagement.
“Reward mechanisms, progress tracking, and achievement feedback may help sustain engagement (15, 21–24)”
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- Authors
- Tanaka, R., Fujita, K., Maeno, S., Yakushiji, K., Tanaka, S., Ohnaka, K., Ashida, K., Sakamoto, S., & Nomura, M.
- Affiliations
- Kitasato University (JP)
- Kyushu University (JP)
- Kurume University (JP)
- Corresponding author
- Fujita, Kimie
- ORCID
- Venue
- Japan Journal of Nursing Science
- Publisher
- Wiley
- Published
- 2021-08-05
- Volume
- 19
- Issue
- 1
- Pages
- e12445-e12445
- ISSN
- 1742-7924 (ISSN-L)
- 1742-7932
- OpenAlex
- W3190857720
- Cited by
- 3
- References
- 25
- Citations by year
- 2026: 1 · 2025: 2
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Japan Journal of Nursing Science (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Japan Society for the Promotion of Science (18K08520, 19K11141, 20K08921)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- diabetes mellitus, physical activity intensity, real-time activity monitoring, moderate-to-vigorous physical activity, step count, HbA1c, body mass index, self-management, physical activity promotion
- MeSH terms
- Aged, Diabetes Mellitus, Humans, Middle Aged, Exercise, Body Mass Index
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