Planning the Next Steps: Using an Implementation Intention Approach to Increase Daily Walking

Overview

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.

Study Type

  • Study Type: Interventional
  • Study Design
    • Allocation: Randomized
    • Intervention Model: Parallel Assignment
    • Primary Purpose: Prevention
    • Masking: Single (Participant)
  • Study Primary Completion Date: October 2016

Detailed Description

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.

Interventions

  • Behavioral: Control Group
    • 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.
  • Behavioral: Implementation Intention Condition
    • 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.

Arms, Groups and Cohorts

  • Experimental: 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.
  • Experimental: 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.

Clinical Trial Outcome Measures

Primary Measures

  • Steps
    • Time Frame: Week 1 & Week 5
    • Weekly average of daily step counts with Fitbit (averaged across 7 days at Week 1 and averaged across 7 days at Week 5).
  • Activity Intensity
    • Time Frame: Week 1 & Week 5
    • 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).

Secondary Measures

  • Cognitive Composite Score
    • Time Frame: Baseline (Pre-Test) and Week 5 (Post-Test )
    • 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.
  • Exercise Control Beliefs
    • Time Frame: Baseline (Pre-Test) and Week 5 (Post-Test )
    • 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.
  • Exercise Self-efficacy
    • Time Frame: Baseline (Pre-Test) and Week 5 (Post-Test )
    • Amount of confidence in ability to exercise.
  • Exercise Self-efficacy Beliefs – Time Composite
    • Time Frame: Baseline (Pre-Test) and Week 5 (Post-Test )
    • 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.

Participating in This Clinical Trial

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

Gender Eligibility: All

Minimum Age: 35 Years

Maximum Age: N/A

Are Healthy Volunteers Accepted: Accepts Healthy Volunteers

Investigator Details

  • Lead Sponsor
    • Brandeis University
  • Provider of Information About this Clinical Study
    • Sponsor
  • Overall Official(s)
    • Margie Lachman, Ph.D., Principal Investigator, Brandeis University

References

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.

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