Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jan 11, 2021
Date Accepted: Jul 5, 2021

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

Exploring the Associations Between Self-reported Tendencies Toward Smartphone Use Disorder and Objective Recordings of Smartphone, Instant Messaging, and Social Networking App Usage: Correlational Study

Marengo D, Saryska R, Schmitt HS, Messner EM, Baumeister H, Brand M, Kannen C, Montag C

Exploring the Associations Between Self-reported Tendencies Toward Smartphone Use Disorder and Objective Recordings of Smartphone, Instant Messaging, and Social Networking App Usage: Correlational Study

J Med Internet Res 2021;23(9):e27093

DOI: 10.2196/27093

PMID: 34591025

PMCID: 8517811

Objective Recordings of Smartphone and Instant Messaging and Social Network App Usage are associated with Self-reported Tendencies towards Smartphone Use Disorder: The distinctive Role of Image-Based Apps

  • Davide Marengo; 
  • Rayna Saryska; 
  • Helena Sophia Schmitt; 
  • Eva-Maria Messner; 
  • Harald Baumeister; 
  • Matthias Brand; 
  • Christopher Kannen; 
  • Christian Montag

ABSTRACT

Background:

Online social communication via instant messaging (IM) and social networking (SN) applications make up for a large part of the time smartphone users spend on their devices. Previous research indicates that the excessive use of these applications positively associates with smartphone-related addictive behaviors. In particular, image-based SN apps, such as Instagram and Snapchat, have been shown to exert stronger detrimental effects than traditional apps, such as Facebook and Twitter.

Objective:

We investigate the correlation between individual tendency towards smartphone use disorder (SmUD) and objective measures of frequency of smartphone usage. Additionally, we explore a mediation pathway linking frequency of actual smartphone usage and self-reported tendencies towards SmUD by route of increased frequency of usage of IM and SN apps.

Methods:

We recruited a sample of N = 124 adult smartphone users (62.9% females; mean age of M=23.84 (SD = 8.29) years) and collected objective information about the frequency of smartphone and SN app usage over one week. Participants also filled in a self-report measure assessing multiple components of tendencies toward smartphone use disorder. Bivariate associations were investigated using Spearman correlations. A parallel mediation analysis was implemented via multiple regression analysis.

Results:

The frequency of smartphone usage, as well as the use of IM apps (Messenger, Telegram, WhatsApp), Facebook, and image-based apps (Instagram, Snapchat), had significant positive associations with at least one component of a smartphone use disorder, with the facet cyberspace-oriented relationships exhibiting the strongest associations. We find support for an indirect effect linking actual smartphone usage and smartphone use disorder tendencies via frequency of use of image-based SN apps.

Conclusions:

This novel result sheds light on the factors promoting smartphone use disorder and essentially indicates the features implemented in the considered image-based SN apps as being potentially more “addictive” than those available in IM apps and traditional SN apps, such as Facebook.


 Citation

Please cite as:

Marengo D, Saryska R, Schmitt HS, Messner EM, Baumeister H, Brand M, Kannen C, Montag C

Exploring the Associations Between Self-reported Tendencies Toward Smartphone Use Disorder and Objective Recordings of Smartphone, Instant Messaging, and Social Networking App Usage: Correlational Study

J Med Internet Res 2021;23(9):e27093

DOI: 10.2196/27093

PMID: 34591025

PMCID: 8517811

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.