Moffit, Reagan
(2021)
Title Page
BASELINE PREDICTORS OF PROGRAM ENGAGEMENT IN AN ONLINE PHYSICAL ACTIVITY INTERVENTION.
Master Essay, University of Pittsburgh.
Abstract
INTRODUCTION: Physical inactivity is a significant problem worldwide. Digital health interventions coordinated with clinical care may be a feasible way to improve physical activity (PA) levels of US adults. It has been shown that high program engagement is associated with positive changes in PA, yet little is known about baseline factors which influence program engagement. The purpose of this study was to 1) describe program engagement in an online digital health intervention for PA improvement and 2) to identify baseline factors related to program engagement. METHODS: ActiveGOALS was a three-month one-on-one online intervention designed to increase PA levels and decrease sedentary time in adults. All participants were randomized to receive the intervention (15 total online lessons, 2 technical, 13 instructional) immediately or after a three-month wait period. Variables across seven domains (confidence, environment, health, healthcare, demographic, lifestyle, and quality of life) were self-reported at baseline. Six engagement outcome variables were identified at the conclusion of the study. A step-wise model building strategy was used to identify statistically significant baseline predictors for each of the six outcome engagement variables. General linear and nonlinear mixed models were used to model the relationship between baseline factors and engagement outcomes. RESULTS: The majority of participants were female (77.2%), white non-Hispanic (74.7%) and self-reported an average of 27 min of PA per week. Overall, program engagement was high. A small number of baseline factors belonging to five of the seven domains were identified as significantly relating to program engagement. DISCUSSION: These results suggest that program engagement was high across all engagement outcomes. This effort is one of only a few to assess the relationship between many baseline factors across multiple domains and program engagement. These findings can help future public health efforts to provide extra supports to those who may struggle to engage with online PA interventions.
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Details
| Item Type: |
Other Thesis, Dissertation, or Long Paper
(Master Essay)
|
| Status: |
Unpublished |
| Creators/Authors: |
|
| Contributors: |
| Contribution | Contributors Name | Email | Pitt Username | ORCID  |
|---|
| Committee Chair | Rockette-Wagner, Bonny | bjr26@pitt.edu | bjr26 | UNSPECIFIED | | Committee Member | McTigue, Kathleen | kmm34@pitt.edu | kmm34 | UNSPECIFIED | | Committee Member | Kriska, Andrea | kriskaA@edc.pitt.edu | kriskaA | UNSPECIFIED |
|
| Date: |
13 December 2021 |
| Date Type: |
Completion |
| Submission Date: |
6 December 2021 |
| Access Restriction: |
2 year -- Restrict access to University of Pittsburgh for a period of 2 years. |
| Number of Pages: |
58 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
School of Public Health > Epidemiology |
| Degree: |
MPH - Master of Public Health |
| Thesis Type: |
Master Essay |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
physical activity
engagement
baseline predictors
digital health interventions |
| Date Deposited: |
06 Jan 2022 14:16 |
| Last Modified: |
06 Jan 2024 06:15 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/42016 |
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