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| ID | Type | Description | Link |
|---|---|---|---|
| UWMSN | Nursing | Administrati | Other Identifier | UW Madison |
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This study aims to see if a new approach called "Exercise Forecasting" can help people with jobs with a lot of sitting get more active. It also tests if using this method in personal motivational messages makes it easier for them to exercise.
The main questions it aims to answer are:
Participants will:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Office workers | Experimental | Participants who are office workers |
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| Truck drivers | Experimental | Participants who are truck drivers |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Tailored messaging | Behavioral | Participants receive motivational messages customized to their previously stated expectations and goals. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Correlation between biometric data and self-reported exercise | Biometric data will be collected through the smartwatch. Participants are also asked to self-report what type of exercise they did. These will be correlated to learn whether probability of daily activity can be predicted. | 20 days |
| Acceptability of customized messages | Acceptability will be qualitatively evaluated using one-on-one interviews, with semi-structured interview guides. Acceptability will be analyzed using thematic analyses. | 30 days |
| Feasibility - retention rate | Retention rate will be measured by the number of participants who complete the study. | 30 days |
| Change in level of physical activity when receiving custom motivational messages | Using data collected from the smartwatch, level of physical activity will be compared between pre-motivational messaging and post-motivational messaging. | Baseline to 30 days |
| Change in System Usability Scale (SUS) Score | SUS is a 10-item questionnaire about system usability. It is scored on a 5-point Likert scale, where 1 = strongly disagree and 5 = strongly agree. Scores range from 0-100 (due to reverse scoring and 2.5 multiplication). Higher scores indicate greater usability. | Baseline to 30 days |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Wan-chin Kuo, PhD, RN | Contact | wkuo4@wisc.edu | ||
| Anthony McDonald | Contact | admcdonald@wisc.edu |
| Name | Affiliation | Role |
|---|---|---|
| Wan-chin Kuo, PhD, RN | University of Wisconsin, Madison | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Wisconsin - Madison | Recruiting | Madison | Wisconsin | 53705 | United States |
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