Ciarán P Friel, Ashley M Goodwin, Patrick L Robles, Mark J Butler, Challace Pahlevan-Ibrekic, Joan Duer-Hefele, Frank Vicari, Samantha Gordon, Thevaa Chandereng, Ying Kuen Ken Cheung, Jerry Suls, Karina W Davidson
{"title":"增加中老年人体育锻炼的个性化(N-of-1)试验可行性测试。","authors":"Ciarán P Friel, Ashley M Goodwin, Patrick L Robles, Mark J Butler, Challace Pahlevan-Ibrekic, Joan Duer-Hefele, Frank Vicari, Samantha Gordon, Thevaa Chandereng, Ying Kuen Ken Cheung, Jerry Suls, Karina W Davidson","doi":"10.1007/s12529-024-10319-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To test the effectiveness and feasibility of a remotely delivered intervention to increase physical activity (walking) in middle-aged and older adults.</p><p><strong>Design: </strong>This study used a personalized (N-of-1) trial design.</p><p><strong>Setting: </strong>This study took place at a major healthcare system from November 2021 to February 2022.</p><p><strong>Subjects: </strong>Sixty adults (45-75 years, 92% female, 80% white) were recruited.</p><p><strong>Intervention: </strong>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.</p><p><strong>Measures: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":54208,"journal":{"name":"International Journal of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Feasibility Test of Personalized (N-of-1) Trials for Increasing Middle-Aged and Older Adults' Physical Activity.\",\"authors\":\"Ciarán P Friel, Ashley M Goodwin, Patrick L Robles, Mark J Butler, Challace Pahlevan-Ibrekic, Joan Duer-Hefele, Frank Vicari, Samantha Gordon, Thevaa Chandereng, Ying Kuen Ken Cheung, Jerry Suls, Karina W Davidson\",\"doi\":\"10.1007/s12529-024-10319-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To test the effectiveness and feasibility of a remotely delivered intervention to increase physical activity (walking) in middle-aged and older adults.</p><p><strong>Design: </strong>This study used a personalized (N-of-1) trial design.</p><p><strong>Setting: </strong>This study took place at a major healthcare system from November 2021 to February 2022.</p><p><strong>Subjects: </strong>Sixty adults (45-75 years, 92% female, 80% white) were recruited.</p><p><strong>Intervention: </strong>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.</p><p><strong>Measures: </strong>Activity was measured by a Fitbit, and intervention components delivered by email/text. 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Feasibility Test of Personalized (N-of-1) Trials for Increasing Middle-Aged and Older Adults' Physical Activity.
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.
期刊介绍:
The International Journal of Behavioral Medicine (IJBM) is the official scientific journal of the International Society for Behavioral Medicine (ISBM). IJBM seeks to present the best theoretically-driven, evidence-based work in the field of behavioral medicine from around the globe. IJBM embraces multiple theoretical perspectives, research methodologies, groups of interest, and levels of analysis. The journal is interested in research across the broad spectrum of behavioral medicine, including health-behavior relationships, the prevention of illness and the promotion of health, the effects of illness on the self and others, the effectiveness of novel interventions, identification of biobehavioral mechanisms, and the influence of social factors on health. We welcome experimental, non-experimental, quantitative, qualitative, and mixed-methods studies as well as implementation and dissemination research, integrative reviews, and meta-analyses.