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: Jun 2, 2020
Date Accepted: Mar 18, 2021

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

The Feasibility of Using Instagram Data to Predict Exercise Identity and Physical Activity Levels: Cross-sectional Observational Study

Liu S, Perdew M, Lithopoulos A, Rhodes R

The Feasibility of Using Instagram Data to Predict Exercise Identity and Physical Activity Levels: Cross-sectional Observational Study

J Med Internet Res 2021;23(4):e20954

DOI: 10.2196/20954

PMID: 33871380

PMCID: 8094017

The Feasibility of using Instagram Data to Predict Exercise Identity and Physical Activity Levels: A Cross-sectional Observational Study

  • Sam Liu; 
  • Megan Perdew; 
  • Alexander Lithopoulos; 
  • Ryan Rhodes

ABSTRACT

Background:

Exercise identity is an important predictor for regular physical activity. There is a lack of research on the potential mechanisms or antecedents of identity development. Theories of identity in physical activity have proposed that investment, and commitment, self-referential (e.g., I am an exerciser) statements, and social activation (comparison, support) may be crucial to identity development. Social media may be a potential mechanism to shape identity.

Objective:

The objectives of this study were to 1) examine whether physical activity-related Instagram uses (i.e., the percent of physical activity-related Instagram posts, fitness-related followings, and the number of likes received on physical activity-related posts) was positively associated with exercise identity 2) evaluate whether exercise identity mediates the relationship between physical activity-related Instagram use and weekly physical activity minutes; and 3) to explore whether participants were willing to share their Instagram data with researchers to predict their lifestyle behaviors.

Methods:

Participants (18-30 years old) were asked to complete a questionnaire to evaluate their current levels of exercise identity and physical activity levels. Participants’ Instagram data for the past 12 months before the completion of the questionnaire were extracted and analyzed with their permission. Instagram posts related to physical activity in the 12 months before their assessment, the number of likes received for each physical activity-related post and verified fitness or physical activity-related followings by the participants were extracted and analyzed. Correlation analyses were used to evaluate the relationship among exercise identity, physical activity and Instagram use metrics. The PROCESS macro was used to examine whether exercise identity mediated the relationship between Instagram use variables and physical activity. Descriptive statistical analyses were used to compare the number of willing participants versus those who were not willing to share their Instagram data.

Results:

Out of the 76 participants recruited to participate, 53% (n=41) shared their Instagram data. The percent of physical activity-related Instagram (r=0.32, p<0.05) and fitness-related Instagram followings (r=0.31, p<0.05) were significantly associated with exercise identity. The average number of “likes” received (r=0.11, p>0.05) was not significantly associated with exercise identity. Exercise identity significantly mediated the relationship between Instagram usage metrics (i.e. the percentage of physical activity-related Instagram posts, verified fitness-related Instagram accounts) and physical activity level. Exercise identity did not significantly mediate the relationship between the average number of “likes” received for the physical activity-related Instagram posts and physical activity level.

Conclusions:

Our results suggest that an increase in physical activity-related Instagram posts and fitness-related followings were associated with a greater sense of exercise identity. Higher exercise identity leads to higher physical activity levels. Exercise identity was a significant mediator for physical activity-related Instagram posts and fitness-related followings on physical activity levels. These results suggest that Instagram may influence a person’s exercise identity and physical activity levels. Future intervention studies are warranted. Clinical Trial: NA


 Citation

Please cite as:

Liu S, Perdew M, Lithopoulos A, Rhodes R

The Feasibility of Using Instagram Data to Predict Exercise Identity and Physical Activity Levels: Cross-sectional Observational Study

J Med Internet Res 2021;23(4):e20954

DOI: 10.2196/20954

PMID: 33871380

PMCID: 8094017

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.