Feasibility Test of Personalized (N-of-1) Trials for Increasing Middle-Aged and Older Adults' Physical Activity.
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| Title: | Feasibility Test of Personalized (N-of-1) Trials for Increasing Middle-Aged and Older Adults' Physical Activity. |
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| Authors: | Friel, Ciarán P., Goodwin, Ashley M., Robles, Patrick L., Butler, Mark J., Pahlevan-Ibrekic, Challace, Duer-Hefele, Joan, Vicari, Frank, Gordon, Samantha, Chandereng, Thevaa, Cheung, Ying Kuen, Suls, Jerry, Davidson, Karina W. |
| Source: | International Journal of Behavioral Medicine. Jun2025, Vol. 32 Issue 3, p394-404. 11p. |
| Subjects: | Mobile apps, Research funding, Smartphones, Medical care, Pilot projects, Exercise therapy, Statistical sampling, Consumer attitudes, Internet, Behavior, Treatment effectiveness, Randomized controlled trials, Wearable technology, Descriptive statistics, Gait in humans, Telemedicine, Walking, Pre-tests & post-tests, Health behavior, Individualized medicine, Data analysis software, Physical activity, Behavior therapy, Customer satisfaction |
| Geographic Terms: | New York (State) |
| Abstract: | Purpose: To test the effectiveness and feasibility of a remotely delivered intervention to increase physical activity (walking) in middle-aged and older adults. Design: This study used a personalized (N-of-1) trial design. Setting: This study took place at a major healthcare system from November 2021 to February 2022. Subjects: Sixty adults (45–75 years, 92% female, 80% white) were recruited. Intervention: A 10-week study comprising a 2-week baseline, followed by four 2-week periods where four behavior change techniques (BCTs) — self-monitoring, goal setting, action planning, and feedback — were delivered one at a time in random order. Measures: Activity was measured by a Fitbit, and intervention components delivered by email/text. Average daily steps were compared between baseline and intervention. Participants completed satisfaction items derived from the System Usability Scale and reported attitudes and opinions about personalized trials. Results: Participants rated personalized trial components as feasible and acceptable. Changes in steps between baseline and intervention were not significant, but a large heterogeneity of treatment effects existed, suggesting some participants significantly increased walking while others significantly decreased. Conclusions: Our intervention was well-accepted but use of BCTs delivered individually did not result in a significant increase in steps. Feasibility and heterogeneity of treatment effects support adopting a personalized trial approach to optimize intervention results. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | Purpose: To test the effectiveness and feasibility of a remotely delivered intervention to increase physical activity (walking) in middle-aged and older adults. Design: This study used a personalized (N-of-1) trial design. Setting: This study took place at a major healthcare system from November 2021 to February 2022. Subjects: Sixty adults (45–75 years, 92% female, 80% white) were recruited. Intervention: A 10-week study comprising a 2-week baseline, followed by four 2-week periods where four behavior change techniques (BCTs) — self-monitoring, goal setting, action planning, and feedback — were delivered one at a time in random order. Measures: Activity was measured by a Fitbit, and intervention components delivered by email/text. Average daily steps were compared between baseline and intervention. Participants completed satisfaction items derived from the System Usability Scale and reported attitudes and opinions about personalized trials. Results: Participants rated personalized trial components as feasible and acceptable. Changes in steps between baseline and intervention were not significant, but a large heterogeneity of treatment effects existed, suggesting some participants significantly increased walking while others significantly decreased. Conclusions: Our intervention was well-accepted but use of BCTs delivered individually did not result in a significant increase in steps. Feasibility and heterogeneity of treatment effects support adopting a personalized trial approach to optimize intervention results. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 10705503 |
| DOI: | 10.1007/s12529-024-10319-w |
