Planning the Next Steps: Using an Implementation Intention Approach to Increase Daily Walking
2018년 7월 19일 업데이트: Brandeis University
The study goal is to design an intervention utilizing implementation intentions to help participants prospectively plan and visualize ways to increase activity for the next day among working adults who do not currently exercise or use an activity monitor.
Investigators will assess the level of and changes in physical activity, and how this relates to various individual factors that are related to exercise and health, including self-efficacy, control beliefs, and cognition.
연구 개요
상세 설명
The 5-week study consists of a 1-week baseline, where participants are asked to wear a Fitbit to document the number of steps taken that day to establish an objective measurement of steps before the intervention began.
In the intervention condition, after the baseline week, during weeks 2 to 5, this condition is prompted with an email each evening for four weeks to review their schedules for the following day and identify time slots where they could add activity.
They are given instructions for providing a detailed calendar of appointments and open slots for the next day using a simple daily planner.
The planning implementation intention manipulation involves recording specific information about when, where, and how they will add steps to their day.
They are provided with maps near their home and work with specific information about distances, estimated time to walk between different points, and number of steps for specific routes to help them in planning for specific routes.The control condition is matched for how much contact they have with the research staff (called and emailed the same amount of times) and also wear the Fitbit daily.
The only difference from the intervention group is that they do not get the daily planning instructions or maps for the implementation intention strategy treatment.
All activity data from the Fitbit was deidentified and aggregated with an online platform called Fitabase.
연구 유형
중재적
등록 (실제)
63
단계
- 해당 없음
참여기준
연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.
자격 기준
공부할 수 있는 나이
35년 이상 (성인, 고령자)
건강한 자원 봉사자를 받아들입니다
아니
연구 대상 성별
모두
설명
Inclusion Criteria:
- Currently working full time
- Not engaged in regular exercise
- 35 years of age or older
Exclusion Criteria:
- Not healthy enough to engage in a walking intervention
공부 계획
이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.
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: Control group
Participants will wear a Fitbit Zip to record their daily activity data, which will be deidentified and aggregated with an online platform called Fitabase.
Participants in the control group will be matched with the intervention group for how much contact they have with the researcher.
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Participants will wear a Fitbit Zip for 5 weeks to record their daily activity data.
The first week of the study will provide a baseline measurement of activity.
After this week, participants in this condition will begin receiving daily emails asking them to report their step count in a questionnaire.
Participants in the control group will be matched with the intervention group for how much contact they have with the researcher.
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실험적: Implementation Intention Condition
Participants will wear a Fitbit Zip to record their daily activity data, which will be deidentified and aggregated with an online platform called Fitabase.
Participants in this arm will receive all components of the intervention: scheduling, maps, and activity goals.
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Participants will wear a Fitbit Zip for 5 weeks to record their daily activity data.
The first week of the study will provide a baseline measurement of activity.
After this week, participants will be asked to increase their steps incrementally by 2,000 steps each week for the subsequent four weeks.
To help achieve their step goals, they will receive maps of different routes near their home and/or work of varying distances and step counts.
They will be asked to review their schedule for the next day and identify times when they could add steps into their schedules, and to record their daily step data in the daily questionnaire.
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연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Steps
기간: Week 1 & Week 5
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Weekly average of daily step counts with Fitbit (averaged across 7 days at Week 1 and averaged across 7 days at Week 5).
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Week 1 & Week 5
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Activity Intensity
기간: Week 1 & Week 5
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Weekly average of daily time spent in moderate to vigorous intensity activity (averaged across 7 days at Week 1 and averaged across 7 days at Week 5).
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Week 1 & Week 5
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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Cognitive Composite Score
기간: Baseline (Pre-Test) and Week 5 (Post-Test )
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Z-score composite on the Brief Test of Adult Cognition by Telephone (BTACT).
Individual tests scores were first standardized to z-scores.
The z-score composite was calculated by averaging the z-scores of the 5 tests: word list immediate, word list delayed, backwards counting, digits backwards, and category fluency.
Post-test z-scores were standardized based on the mean and s.d. of the pretest scores.
A higher z-score is indicative of better cognitive functioning.
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Baseline (Pre-Test) and Week 5 (Post-Test )
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Exercise Control Beliefs
기간: Baseline (Pre-Test) and Week 5 (Post-Test )
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Degree of perceived control over Exercise.
Range from 1 (Strongly agree) to 5 (strongly agree).
Reverse coded so that a higher number indicates more perceived control over exercise.
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Baseline (Pre-Test) and Week 5 (Post-Test )
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Exercise Self-efficacy
기간: Baseline (Pre-Test) and Week 5 (Post-Test )
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Amount of confidence in ability to exercise.
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Baseline (Pre-Test) and Week 5 (Post-Test )
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Exercise Self-efficacy Beliefs - Time Composite
기간: Baseline (Pre-Test) and Week 5 (Post-Test )
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Amount of confidence in ability to exercise when facing time constraints.
Range from 1 (Very Sure) to 4 (Not sure at all).
Reverse coded so that a higher number indicates more self-efficacy.
3 items, summed to form time-relevant composite scale.
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Baseline (Pre-Test) and Week 5 (Post-Test )
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공동 작업자 및 조사자
여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.
수사관
- 수석 연구원: Margie Lachman, Ph.D., Brandeis University
간행물 및 유용한 링크
연구에 대한 정보 입력을 담당하는 사람이 자발적으로 이러한 간행물을 제공합니다. 이것은 연구와 관련된 모든 것에 관한 것일 수 있습니다.
일반 간행물
- Robinson SA, Lachman ME. Perceived Control and Aging: A Mini-Review and Directions for Future Research. Gerontology. 2017;63(5):435-442. doi: 10.1159/000468540. Epub 2017 Apr 8.
- Robinson, S. A. & Lachman, M. E. (2016). Perceived Control and Behavior Change: A Personalized Approach. In F. Infurna & J. Reich (Eds.), Perceived Control: Theory, Research, and Practice in the First 50 Years (pp. 201-227). New York, New York: Oxford University Press.
연구 기록 날짜
이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.
연구 주요 날짜
연구 시작 (실제)
2015년 6월 1일
기본 완료 (실제)
2016년 10월 1일
연구 완료 (실제)
2016년 10월 1일
연구 등록 날짜
최초 제출
2017년 4월 13일
QC 기준을 충족하는 최초 제출
2017년 4월 19일
처음 게시됨 (실제)
2017년 4월 24일
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
2019년 1월 14일
QC 기준을 충족하는 마지막 업데이트 제출
2018년 7월 19일
마지막으로 확인됨
2018년 7월 1일
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. .
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