Effects of Wearable Fitness Trackers and Activity Adequacy Mindsets on Affect, Behavior, and Health: Longitudinal Randomized Controlled Trial.

activity monitors activity trackers digital health fitness trackers health behavior health promotion health technology intervention mHealth mindset mobile health mobile phone physical activity psychology wearables

Journal

Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882

Informations de publication

Date de publication:
25 01 2023
Historique:
received: 26 06 2022
accepted: 13 11 2022
revised: 14 10 2022
entrez: 25 1 2023
pubmed: 26 1 2023
medline: 28 1 2023
Statut: epublish

Résumé

There is some initial evidence suggesting that mindsets about the adequacy and health consequences of one's physical activity (activity adequacy mindsets [AAMs]) can shape physical activity behavior, health, and well-being. However, it is unknown how to leverage these mindsets using wearable technology and other interventions. This research examined how wearable fitness trackers and meta-mindset interventions influence AAMs, affect, behavior, and health. A total of 162 community-dwelling adults were recruited via flyers and web-based platforms (ie, Craigslist and Nextdoor; final sample size after attrition or exclusion of 45 participants). Participants received an Apple Watch (Apple Inc) to wear for 5 weeks, which was equipped with an app that recorded step count and could display a (potentially manipulated) step count on the watch face. After a baseline week of receiving no feedback about step count, participants were randomly assigned to 1 of 4 experimental groups: they received either accurate step count (reference group; 41/162, 25.3%), 40% deflated step count (40/162, 24.7%), 40% inflated step count (40/162, 24.7%), or accurate step count+a web-based meta-mindset intervention teaching participants the value of adopting more positive AAMs (41/162, 25.3%). Participants were blinded to the condition. Outcome measures were taken in the laboratory by an experimenter at the beginning and end of participation and via web-based surveys in between. Longitudinal analysis examined changes within the accurate step count condition from baseline to treatment and compared them with changes in the deflated step count, inflated step count, and meta-mindset conditions. Participants receiving accurate step counts perceived their activity as more adequate and healthier, adopted a healthier diet, and experienced improved mental health (Patient-Reported Outcomes Measurement Information System [PROMIS]-29) and aerobic capacity but also reduced functional health (PROMIS-29; compared with their no-step-count baseline). Participants exposed to deflated step counts perceived their activity as more inadequate; ate more unhealthily; and experienced more negative affect, reduced self-esteem and mental health, and increased blood pressure and heart rate (compared with participants receiving accurate step counts). Inflated step counts did not change AAM or most other outcomes (compared with accurate step counts). Participants receiving the meta-mindset intervention experienced improved AAM, affect, functional health, and self-reported physical activity (compared with participants receiving accurate step counts only). Actual step count did not change in either condition. AAMs--induced by trackers or adopted deliberately--can influence affect, behavior, and health independently of actual physical activity. ClinicalTrials.gov NCT03939572; https://www.clinicaltrials.gov/ct2/show/NCT03939572.

Sections du résumé

BACKGROUND
There is some initial evidence suggesting that mindsets about the adequacy and health consequences of one's physical activity (activity adequacy mindsets [AAMs]) can shape physical activity behavior, health, and well-being. However, it is unknown how to leverage these mindsets using wearable technology and other interventions.
OBJECTIVE
This research examined how wearable fitness trackers and meta-mindset interventions influence AAMs, affect, behavior, and health.
METHODS
A total of 162 community-dwelling adults were recruited via flyers and web-based platforms (ie, Craigslist and Nextdoor; final sample size after attrition or exclusion of 45 participants). Participants received an Apple Watch (Apple Inc) to wear for 5 weeks, which was equipped with an app that recorded step count and could display a (potentially manipulated) step count on the watch face. After a baseline week of receiving no feedback about step count, participants were randomly assigned to 1 of 4 experimental groups: they received either accurate step count (reference group; 41/162, 25.3%), 40% deflated step count (40/162, 24.7%), 40% inflated step count (40/162, 24.7%), or accurate step count+a web-based meta-mindset intervention teaching participants the value of adopting more positive AAMs (41/162, 25.3%). Participants were blinded to the condition. Outcome measures were taken in the laboratory by an experimenter at the beginning and end of participation and via web-based surveys in between. Longitudinal analysis examined changes within the accurate step count condition from baseline to treatment and compared them with changes in the deflated step count, inflated step count, and meta-mindset conditions.
RESULTS
Participants receiving accurate step counts perceived their activity as more adequate and healthier, adopted a healthier diet, and experienced improved mental health (Patient-Reported Outcomes Measurement Information System [PROMIS]-29) and aerobic capacity but also reduced functional health (PROMIS-29; compared with their no-step-count baseline). Participants exposed to deflated step counts perceived their activity as more inadequate; ate more unhealthily; and experienced more negative affect, reduced self-esteem and mental health, and increased blood pressure and heart rate (compared with participants receiving accurate step counts). Inflated step counts did not change AAM or most other outcomes (compared with accurate step counts). Participants receiving the meta-mindset intervention experienced improved AAM, affect, functional health, and self-reported physical activity (compared with participants receiving accurate step counts only). Actual step count did not change in either condition.
CONCLUSIONS
AAMs--induced by trackers or adopted deliberately--can influence affect, behavior, and health independently of actual physical activity.
TRIAL REGISTRATION
ClinicalTrials.gov NCT03939572; https://www.clinicaltrials.gov/ct2/show/NCT03939572.

Identifiants

pubmed: 36696172
pii: v25i1e40529
doi: 10.2196/40529
pmc: PMC9909519
doi:

Banques de données

ClinicalTrials.gov
['NCT03939572']

Types de publication

Randomized Controlled Trial Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e40529

Subventions

Organisme : NCCIH NIH HHS
ID : DP2 AT009511
Pays : United States

Informations de copyright

©Octavia Hedwig Zahrt, Kristopher Evans, Elizabeth Murnane, Erik Santoro, Michael Baiocchi, James Landay, Scott Delp, Alia Crum. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 25.01.2023.

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Auteurs

Octavia Hedwig Zahrt (OH)

Department of Organizational Behavior, Stanford University Graduate School of Business, Stanford, CA, United States.

Kristopher Evans (K)

Department of Psychology, Stanford University, Stanford, CA, United States.

Elizabeth Murnane (E)

Department of Computer Science, Stanford University, Stanford, CA, United States.

Erik Santoro (E)

Department of Psychology, Stanford University, Stanford, CA, United States.

Michael Baiocchi (M)

Department of Epidemiology and Population Health, Stanford University, Stanford, CA, United States.

James Landay (J)

Department of Computer Science, Stanford University, Stanford, CA, United States.

Scott Delp (S)

Department of Mechanical Engineering, Department of Bioengineering, Stanford University, Stanford, CA, United States.

Alia Crum (A)

Department of Psychology, Stanford University, Stanford, CA, United States.

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