Evidence map›Paper›PMID 36696172›Full record

Trial reportJournal of medical Internet research2023

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

Octavia Hedwig Zahrt, Kristopher Evans, Elizabeth Murnane, Erik Santoro, Michael Baiocchi, James Landay, Scott Delp, Alia Crum

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03939572 (Harnessing Mindset in 21st Century Healthcare), which is not on this map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
6.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03939572 nacompletednot on this map

Harnessing Mindset in 21st Century Healthcare: Leveraging Mindset in Health Technology

TypeinterventionalSponsorStanford UniversityRan2018 to 2019Enrolled164ConditionsActivity Adequacy MindsetsArmsAccurate step count feedback, Deflated step count feedback, Inflated step count feedback, Accurate feedback + mindset intervention
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 47 citations in OpenAlex.

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  11. Any old iron, man.Experimental physiology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Octavia Hedwig ZahrtDepartment of Organizational Behavior, Stanford University Graduate School of Business, Stanford, CA, United States.ORCID 0000-0001-8052-459X
Kristopher EvansDepartment of Psychology, Stanford University, Stanford, CA, United States.ORCID 0000-0002-7302-8018
Elizabeth MurnaneDepartment of Computer Science, Stanford University, Stanford, CA, United States.ORCID 0000-0003-2089-207X
Erik SantoroDepartment of Psychology, Stanford University, Stanford, CA, United States.ORCID 0000-0003-4092-4809
Michael BaiocchiDepartment of Epidemiology and Population Health, Stanford University, Stanford, CA, United States.ORCID 0000-0002-7571-5268
James LandayDepartment of Computer Science, Stanford University, Stanford, CA, United States.ORCID 0000-0003-1520-8894
Scott DelpDepartment of Mechanical Engineering, Department of Bioengineering, Stanford University, Stanford, CA, United States.ORCID 0000-0002-9643-7551
Alia CrumDepartment of Psychology, Stanford University, Stanford, CA, United States.ORCID 0000-0002-0892-1811
Stanford University · US

Funding

Harnessing Mindset in 21st Century HealthcareDP2AT009511 · NCCIH · STANFORD UNIVERSITY · PI CRUM, ALIA · 2016 to 2016
$2.4M
NCCIH NIH HHS DP2 AT009511
6 · The paper itself

Abstract

backgroundThere 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.

objectiveThis research examined how wearable fitness trackers and meta-mindset interventions influence AAMs, affect, behavior, and health.

methodsA 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.

resultsParticipants 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.

conclusionsAAMs--induced by trackers or adopted deliberately--can influence affect, behavior, and health independently of actual physical activity.

trial registrationClinicalTrials.gov NCT03939572; https://www.clinicaltrials.gov/ct2/show/NCT03939572.

Indexed as

Fitness TrackersWearable Electronic DevicesAdultExerciseHumansMotor ActivityOutcome Assessment, Health Careactivity monitorsactivity trackersdigital healthfitness trackershealth behaviorhealth promotionhealth technologyinterventionmHealthmindsetmobile healthmobile phonephysical activitypsychologywearables

Identifiers

PMID36696172
PMCPMC9909519
OpenAlexW4312865891

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.