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Factors Influencing Walking and Exercise Adherence in Healthy Older Adults Using Monitoring and Interfacing Technology: Preliminary Evidence. | LitMetric

Factors Influencing Walking and Exercise Adherence in Healthy Older Adults Using Monitoring and Interfacing Technology: Preliminary Evidence.

Int J Environ Res Public Health

Department of Patient Care and Measurements, Philips Research, 5656AE Eindhoven, The Netherlands.

Published: August 2020

AI Article Synopsis

  • - The study examined how monitoring technologies could help older adults stick to physical activity programs by collecting data on their behavior and influencing factors during a two-week walking intervention.
  • - Ten older adults participated, providing health data and undergoing a fitness test, but ultimately, adherence to the walking and exercise plan did not improve, and self-efficacy actually decreased.
  • - Key predictors of adherence were identified: perceived risk of over-activity and resting heart rate for exercise adherence, suggesting these factors could help customize future programs to enhance participation in physical activities for older adults.

Article Abstract

Background: Monitoring and interfacing technologies may increase physical activity (PA) program adherence in older adults, but they should account for aspects influencing older adults' PA behavior. This study aimed at gathering preliminary wrist-based PA adherence data in free-living and relate these to the influencing factors.

Methods: Ten healthy older adults (4 females, aged 70-78 years) provided health, fatigue, activity levels, attitude towards pacing, and self-efficacy information and performed a 6 min-walk test to assess their fitness. After a baseline week they followed a two-week walking and exercise intervention. Participants saw their progress via a purposely designed mobile application.

Results: Walking and exercise adherence did not increase during the intervention ( = 0.38, = 0.65). Self-efficacy decreased ( = 0.024). The baseline physical component of the Short Form Health Survey was the most predictive variable of walking adherence. Baseline perceived risk of over-activity and resting heart rate (HR) were the most predictive variables of exercise adherence. When the latter two were used to cluster participants according to their exercise adherence, the fitness gap between exercise-adherent and non-adherent increased after the intervention ( = 0.004).

Conclusions: Risk of over-activity and HR profiled short-term exercise adherence in older adults. If confirmed in a larger and longer study, these could personalize interventions aimed at increasing adherence.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7503601PMC
http://dx.doi.org/10.3390/ijerph17176142DOI Listing

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