Evaluating Motivational Interviewing and Habit Formation to Enhance the Effect of Activity Trackers on Physical Activity
Evaluating Motivational Interviewing and Habit Formation to Enhance the Effect of Activity Trackers on Healthy Adults' Activity Levels: A Randomized Intervention
Panoramica dello studio
Stato
Condizioni
Intervento / Trattamento
Descrizione dettagliata
The objective for this pilot study is to determine the efficacy of the Fitbit Charge wearable fitness monitor alone or in combination with additional behavior change strategies for increasing physical activity in inactive adults. A secondary objective is to assess the influence of psychosocial factors (e.g. self-efficacy, self-regulation, habit formation) on the effectiveness of this type of behavior change intervention. The central hypothesis is that use of the Fitbit will increase physical activity from baseline and that adding additional strategies will enhance this effect. This hypothesis is based on previous research demonstrating that continuous self- monitoring (using wearable technology) is effective in promotion of weight-loss in overweight and obese adults. This objective will be addressed through pursuing the following specific aims.
Aim 1: To determine the efficacy of using the Fitbit to increase physical activity behaviors and improve health markers in inactive adults. The working hypothesis is that wearing a Fitbit for 3 months will increase physical activity and improve health markers from baseline to follow-up in inactive adults.
Aim 2: To compare the efficacy of the Fitbit alone to the Fitbit in combination with behavior change strategies for increasing physical activity and improving psychosocial factors in inactive adults. The working hypothesis is that using the Fitbit along with behavior change strategies will lead to greater improvements in physical activity and psychosocial factors (self- motivation, self-regulation, self-efficacy, and social support) than using the Fitbit alone.
Aim 3: To assess the influence of individual differences in psychosocial variables on changes in physical activity over the intervention. The working hypothesis is that higher levels of self- motivation, self-regulation, self-efficacy, and social support at baseline will be predictive of greater improvements in physical activity over the intervention, regardless of group assignment.
Tipo di studio
Iscrizione (Effettivo)
Fase
- Non applicabile
Criteri di partecipazione
Criteri di ammissibilità
Età idonea allo studio
Accetta volontari sani
Sessi ammissibili allo studio
Descrizione
Inclusion Criteria:
- Not meeting physical activity guidelines
Exclusion Criteria:
- Meeting physical activity guidelines
- Injury or condition that limits mobility
Piano di studio
Come è strutturato lo studio?
Dettagli di progettazione
- Scopo principale: Prevenzione
- Assegnazione: Randomizzato
- Modello interventistico: Assegnazione parallela
- Mascheramento: Separare
Armi e interventi
Gruppo di partecipanti / Arm |
Intervento / Trattamento |
|---|---|
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Sperimentale: Activity Tracker with Health Coaching
Participants assigned to this condition will receive a Fitbit activity tracker to use for 3 months.
Also, they will be asked to come in for a visit approximately one week following baseline assessments.
Using the principles of Motivational Interviewing and Habit Formation, participants will discuss their perceived benefits and barriers of becoming more physically active with a member of the research team.
They will also be encouraged to set a goal related to using their Fitbit to increase their physical activity.
Lastly, they will be given information regarding habit formation and encouraged to identify one or more cues that regularly occur in their daily life to check their Fitbit data as a prompt to engage in physical activity.
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Use of an activity tracker alone or in combination with health coaching on physical activity behaviors.
Altri nomi:
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Comparatore attivo: Activity Tracker alone
Participants assigned to this condition will use their Fitbit on their own for the duration of 3- month intervention, similar to the experience of participants buying the device off-the-shelf.
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Use of an activity tracker alone or in combination with health coaching on physical activity behaviors.
Altri nomi:
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Cosa sta misurando lo studio?
Misure di risultato primarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
|---|---|---|
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Steps
Lasso di tempo: 3 months
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Average steps accumulated per day assessed via the activPAL
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3 months
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Moderate and Vigorous Physical Activity
Lasso di tempo: 3 months
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Average minutes per day assessed via a combination of activPAL and ActiGraph
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3 months
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Misure di risultato secondarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
|---|---|---|
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Habit Development
Lasso di tempo: 3 months
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Measured via the Automaticity Index of the Self-Reported Habit Index.
The Self-Reported Habit Index consists of 12 items and the Automaticity Subscale includes 4 of these 12.
Each item is scored on a 5-point (0-4) Likert scale with anchors ranging from strongly disagree (0) to strongly agree (4).
As such, scores for the Automaticity Index range from 0-16 with higher scores indicating stronger habits.
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3 months
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Collaboratori e investigatori
Sponsor
Investigatori
- Investigatore principale: Laura D Ellingson-Sayen, PhD, Iowa State University
Pubblicazioni e link utili
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Inizio studio (Effettivo)
Completamento primario (Effettivo)
Completamento dello studio (Effettivo)
Date di iscrizione allo studio
Primo inviato
Primo inviato che soddisfa i criteri di controllo qualità
Primo Inserito (Effettivo)
Aggiornamenti dei record di studio
Ultimo aggiornamento pubblicato (Effettivo)
Ultimo aggiornamento inviato che soddisfa i criteri QC
Ultimo verificato
Maggiori informazioni
Termini relativi a questo studio
Altri numeri di identificazione dello studio
- LEllingson_Fitbit_Intervention
Piano per i dati dei singoli partecipanti (IPD)
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