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
調査の概要
詳細な説明
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.
研究の種類
入学 (実際)
段階
- 適用できない
参加基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
受講資格のある性別
説明
Inclusion Criteria:
- Not meeting physical activity guidelines
Exclusion Criteria:
- Meeting physical activity guidelines
- Injury or condition that limits mobility
研究計画
研究はどのように設計されていますか？
デザインの詳細
- 主な目的：防止
- 割り当て：ランダム化
- 介入モデル：並列代入
- マスキング：独身
武器と介入
参加者グループ / アーム |
介入・治療 |
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実験的：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.
他の名前：
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アクティブコンパレータ：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.
他の名前：
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この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
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Steps
時間枠：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
時間枠：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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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Habit Development
時間枠：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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協力者と研究者
スポンサー
捜査官
- 主任研究者：Laura D Ellingson-Sayen, PhD、Iowa State University
出版物と役立つリンク
研究記録日
主要日程の研究
研究開始 (実際)
一次修了 (実際)
研究の完了 (実際)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
本研究に関する用語
キーワード
その他の研究ID番号
- LEllingson_Fitbit_Intervention
個々の参加者データ (IPD) の計画
個々の参加者データ (IPD) を共有する予定はありますか?
医薬品およびデバイス情報、研究文書
米国FDA規制医薬品の研究
米国FDA規制機器製品の研究
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Activity tracker and health coachingの臨床試験
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VA Office of Research and Developmentまだ募集していません
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University of BirminghamNational Institute for Health Research, United Kingdomわからない