Udfordr Oddsene: Træningsprognoser og Motivationsstrategier for Langtidssiddende Jobs
Trodds Oddsene: Træningsforudsigelse og Motivationsstrategier for Langvarigt Sidende Arbejder
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:
- Can "Exercise Forecasting" be used effectively for people in jobs requiring long periods of sitting?
- Do these tailored, proactive messages encourage people to exercise more and sit less?
Participants will:
- Wear the provided smartwatch and answer two questions per day
- Receive customized motivational messages
Studieoversigt
Status
Betingelser
Intervention / Behandling
Undersøgelsestype
Tilmelding (Faktiske)
Fase
- Ikke anvendelig
Kontakter og lokationer
Studiesteder
-
-
Wisconsin
-
Madison, Wisconsin, Forenede Stater, 53705
- University of Wisconsin - Madison
-
-
Deltagelseskriterier
Berettigelseskriterier
Aldre berettiget til at studere
Tager imod sunde frivillige
Køn, der er berettiget til at studere
Beskrivelse
Inclusion Criteria:
- Can communicate in English
- Currently participate in less than 30 minutes of regular physical activity per week.
- Healthy male/female, age >=40
- Currently working in a prolonged sitting job (e.g., truck driver or office worker).
- Have been working in this industry/business for at least one year.
Exclusion Criteria:
- Have had a heart attack within the past three months
- Surgery in the past three months
- Recent stroke, mini-stroke/TIA in the past three months
- Recent seizure disorder or epilepsy in the past three months
- Had an aortic aneurysm before
- Have a medical condition or physical limitation that makes physical activity unsafe
- Currently meeting or exceeding physical activity guidelines (≥150 minutes/week of moderate-intensity activity or equivalent).
- Cannot wear a smartwatch for 30 days.
- Do not want to install a study APP in smart phone for 30 days.
- Cannot respond to the study APP notification for 30 days.
Studieplan
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
- Primært formål: Forebyggelse
- Tildeling: Ikke-randomiseret
- Interventionel model: Parallel tildeling
- Maskning: Ingen (Åben etiket)
Våben og indgreb
Deltagergruppe / Arm |
Intervention / Behandling |
|---|---|
|
Eksperimentel: Office workers
Participants who are office workers |
Participants receive motivational messages customized to their previously stated expectations and goals. |
|
Eksperimentel: Truck drivers
Participants who are truck drivers |
Participants receive motivational messages customized to their previously stated expectations and goals. |
Hvad måler undersøgelsen?
Primære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
|
Correlation between biometric data and self-reported exercise
Tidsramme: 20 days
|
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
Tidsramme: 30 days
|
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
Tidsramme: 30 days
|
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
Tidsramme: Baseline to 30 days
|
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
Tidsramme: Baseline to 30 days
|
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
|
Samarbejdspartnere og efterforskere
Sponsor
Samarbejdspartnere
Efterforskere
- Ledende efterforsker: Wan-chin Kuo, PhD, RN, University of Wisconsin, Madison
Datoer for undersøgelser
Studer store datoer
Studiestart (Faktiske)
Primær færdiggørelse (Faktiske)
Studieafslutning (Faktiske)
Datoer for studieregistrering
Først indsendt
Først indsendt, der opfyldte QC-kriterier
Først opslået (Faktiske)
Opdateringer af undersøgelsesjournaler
Sidste opdatering sendt (Faktiske)
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
Sidst verificeret
Mere information
Begreber relateret til denne undersøgelse
Andre undersøgelses-id-numre
- 2026-0224
- UWMSN | Nursing | Administrati (Anden identifikator: UW Madison)
- T42OH008434 (U.S. NIH-bevilling/kontrakt)
Plan for individuelle deltagerdata (IPD)
Planlægger du at dele individuelle deltagerdata (IPD)?
Lægemiddel- og udstyrsoplysninger, undersøgelsesdokumenter
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