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
연구 개요
상세 설명
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.
연구 유형
등록 (실제)
단계
- 해당 없음
참여기준
자격 기준
공부할 수 있는 나이
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
설명
Inclusion Criteria:
- Not meeting physical activity guidelines
Exclusion Criteria:
- Meeting physical activity guidelines
- Injury or condition that limits mobility
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 주 목적: 방지
- 할당: 무작위
- 중재 모델: 병렬 할당
- 마스킹: 하나의
무기와 개입
참가자 그룹 / 팔 |
개입 / 치료 |
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실험적: 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.
다른 이름들:
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활성 비교기: 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.
다른 이름들:
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연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
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Steps
기간: 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
기간: 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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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Habit Development
기간: 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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공동 작업자 및 조사자
수사관
- 수석 연구원: Laura D Ellingson-Sayen, PhD, Iowa State University
간행물 및 유용한 링크
연구 기록 날짜
연구 주요 날짜
연구 시작 (실제)
기본 완료 (실제)
연구 완료 (실제)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .
Physical Activity Promotion에 대한 임상 시험
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