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Accepted for/Published in: JMIR Formative Research

Date Submitted: Jul 2, 2025
Open Peer Review Period: Jul 2, 2025 - Jul 16, 2025
Date Accepted: Sep 21, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

User Engagement With and Perceived Impact of a Digital Cognitive Training App on Cognition, Daily Functioning, and Mental Fitness: Secondary Analysis of Cross-Sectional Survey Data

McAlister K, Baez L, Braunsdorf A, Yang Y, Kessler D, Huberty J

User Engagement With and Perceived Impact of a Digital Cognitive Training App on Cognition, Daily Functioning, and Mental Fitness: Secondary Analysis of Cross-Sectional Survey Data

JMIR Form Res 2025;9:e80027

DOI: 10.2196/80027

PMID: 41072012

PMCID: 12552828

User Engagement and Perceived Impact of a Digital Cognitive Training App on Cognition, Daily Functioning, and Mental Fitness: A Secondary Analysis of Cross-Sectional Survey Data from Elevate Users

  • Kelsey McAlister; 
  • Lara Baez; 
  • Anna Braunsdorf; 
  • Yana Yang; 
  • Dan Kessler; 
  • Jennifer Huberty

ABSTRACT

Background:

Cognitive difficulties are common and can interfere with daily functioning. While digital cognitive training apps are widely used, few studies have examined whether personalized tools support perceived improvements in cognitive functioning, daily life, and overall mental fitness among general adult users.

Objective:

The purpose of this study was to evaluate app engagement and self-reported cognitive benefits of Elevate, a commercial, personalized cognitive training app developed to support cognitive functioning. We aimed to 1) describe demographics, engagement metrics, and self-reported improvements, 2) examine associations between app engagement and self-reported improvements in cognitive functioning skills directly targeted by the app, and 3) examine associations between app engagement and self-reported improvements in daily functioning and overall mental fitness as potential transfer effects of cognitive training.

Methods:

Adult Elevate users (ages 18+ years) who used the app at least twice in the past 30 days completed a brief web-based survey on perceived cognitive, functional, and mental fitness improvements. Responses were linked to objective app usage data, including total active weeks, mean active days per week, and mean time per day. Ordinal logistic regressions tested associations between engagement metrics and self-reported outcomes, controlling for demographic variables. A Bonferroni correction was applied to adjust for multiple comparisons.

Results:

A total of 3,367 Elevate adult users were included. Participants were primarily middle-aged (M = 55 years), White (77%), and female (65%), with 67% holding at least a college degree. Using the app across more weeks was associated with a greater likelihood of reporting improvements in all cognitive skills (ORs = 1.0014–1.0027), several areas of daily functioning (e.g., motivation, task efficiency; ORs = 1.0014–1.0017), and overall mental fitness (OR = 1.0021). More days of use per week was linked to improvement in math only (OR = 1.15), while spending more time per day was associated with improvements in speaking, reading, math, motivation, personal progress, and mental fitness (ORs = 1.02–1.04).

Conclusions:

Greater use of the Elevate app was linked to self-reported improvements in cognitive skills, daily functioning, and overall mental fitness. These findings suggest that personalized, adaptive cognitive training apps like Elevate may serve as scalable tools for enhancing everyday cognitive and functional well-being. Future research should use rigorous, longitudinal methods to confirm these effects and clarify which app features drive meaningful outcomes. Clinical Trial: Not applicable.


 Citation

Please cite as:

McAlister K, Baez L, Braunsdorf A, Yang Y, Kessler D, Huberty J

User Engagement With and Perceived Impact of a Digital Cognitive Training App on Cognition, Daily Functioning, and Mental Fitness: Secondary Analysis of Cross-Sectional Survey Data

JMIR Form Res 2025;9:e80027

DOI: 10.2196/80027

PMID: 41072012

PMCID: 12552828

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