Evaluating Motivational Interviewing and Habit Formation to Enhance the Effect of Activity Trackers on Physical Activity
Evaluating Motivational Interviewing and Habit Formation to Enhance the Effect of Activity Trackers on Healthy Adults' Activity Levels: A Randomized Intervention
研究概览
详细说明
The objective for this pilot study is to determine the efficacy of the Fitbit Charge wearable fitness monitor alone or in combination with additional behavior change strategies for increasing physical activity in inactive adults. A secondary objective is to assess the influence of psychosocial factors (e.g. self-efficacy, self-regulation, habit formation) on the effectiveness of this type of behavior change intervention. The central hypothesis is that use of the Fitbit will increase physical activity from baseline and that adding additional strategies will enhance this effect. This hypothesis is based on previous research demonstrating that continuous self- monitoring (using wearable technology) is effective in promotion of weight-loss in overweight and obese adults. This objective will be addressed through pursuing the following specific aims.
Aim 1: To determine the efficacy of using the Fitbit to increase physical activity behaviors and improve health markers in inactive adults. The working hypothesis is that wearing a Fitbit for 3 months will increase physical activity and improve health markers from baseline to follow-up in inactive adults.
Aim 2: To compare the efficacy of the Fitbit alone to the Fitbit in combination with behavior change strategies for increasing physical activity and improving psychosocial factors in inactive adults. The working hypothesis is that using the Fitbit along with behavior change strategies will lead to greater improvements in physical activity and psychosocial factors (self- motivation, self-regulation, self-efficacy, and social support) than using the Fitbit alone.
Aim 3: To assess the influence of individual differences in psychosocial variables on changes in physical activity over the intervention. The working hypothesis is that higher levels of self- motivation, self-regulation, self-efficacy, and social support at baseline will be predictive of greater improvements in physical activity over the intervention, regardless of group assignment.
研究类型
注册 (实际的)
阶段
- 不适用
参与标准
资格标准
适合学习的年龄
接受健康志愿者
有资格学习的性别
描述
Inclusion Criteria:
- Not meeting physical activity guidelines
Exclusion Criteria:
- Meeting physical activity guidelines
- Injury or condition that limits mobility
学习计划
研究是如何设计的?
设计细节
- 主要用途:预防
- 分配:随机化
- 介入模型:并行分配
- 屏蔽:单身的
武器和干预
参与者组/臂 |
干预/治疗 |
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实验性的:Activity Tracker with Health Coaching
Participants assigned to this condition will receive a Fitbit activity tracker to use for 3 months.
Also, they will be asked to come in for a visit approximately one week following baseline assessments.
Using the principles of Motivational Interviewing and Habit Formation, participants will discuss their perceived benefits and barriers of becoming more physically active with a member of the research team.
They will also be encouraged to set a goal related to using their Fitbit to increase their physical activity.
Lastly, they will be given information regarding habit formation and encouraged to identify one or more cues that regularly occur in their daily life to check their Fitbit data as a prompt to engage in physical activity.
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Use of an activity tracker alone or in combination with health coaching on physical activity behaviors.
其他名称:
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有源比较器:Activity Tracker alone
Participants assigned to this condition will use their Fitbit on their own for the duration of 3- month intervention, similar to the experience of participants buying the device off-the-shelf.
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Use of an activity tracker alone or in combination with health coaching on physical activity behaviors.
其他名称:
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研究衡量的是什么?
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Steps
大体时间:3 months
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Average steps accumulated per day assessed via the activPAL
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3 months
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Moderate and Vigorous Physical Activity
大体时间:3 months
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Average minutes per day assessed via a combination of activPAL and ActiGraph
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3 months
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次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Habit Development
大体时间:3 months
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Measured via the Automaticity Index of the Self-Reported Habit Index.
The Self-Reported Habit Index consists of 12 items and the Automaticity Subscale includes 4 of these 12.
Each item is scored on a 5-point (0-4) Likert scale with anchors ranging from strongly disagree (0) to strongly agree (4).
As such, scores for the Automaticity Index range from 0-16 with higher scores indicating stronger habits.
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3 months
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合作者和调查者
调查人员
- 首席研究员:Laura D Ellingson-Sayen, PhD、Iowa State University
出版物和有用的链接
研究记录日期
研究主要日期
学习开始 (实际的)
初级完成 (实际的)
研究完成 (实际的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (实际的)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
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