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ORIGINAL RESEARCH

The Impact of Mobile Social Media Use on Depressive Mood Among College Students: A Chain Mediating Effect of Upward Social Comparison and Cognitive Overload

ORCID Icon, , , , &
Pages 2111-2120 | Received 25 Dec 2023, Accepted 01 May 2024, Published online: 24 May 2024
 

Abstract

Background

The 18–24 age group has a much higher rate of depression risk than other age groups, and this age group has the highest proportion among users of mobile social media. The relationship between the use of mobile social media and depressive mood is inconsistent and the mechanism of action is controversial.

Purpose

This study explored the relationship among the intensity of social media use, upward social comparison, cognitive overload and depressive mood.

Methods

In this research, we used the Brief Self-rating Depression Scale (PHQ-9), the Social Media Usage Intensity Questionnaire, the Social Comparison Scale on Social Networking Sites and the Social Networking Site Cognitive Overload Scale to investigate the depressive mood and mobile social media use of 568 college students.

Results

The intensity of mobile social media use, social networking site upward social comparison, and social networking site cognitive overload are all positively correlated with depressive mood. The intensity of mobile social media use has a positive predictive effect on depressive mood, with upward social comparison and cognitive overload acting as independent mediators in the relationship between mobile social media use intensity and depressive symptoms, as well as exhibiting a chained mediating effect of upward social comparison-cognitive overload.

Conclusion

The upward social comparison and cognitive load that occur during the use of mobile social media are important predictive factors for the occurrence of depressive mood. This study is a supplement to the mechanism of the relationship between mobile social media use and depression, providing more evidence-based evidence and intervention directions for university teachers, mobile social media developers, and psychologists.

This article is part of the following collections:
Social Media and Mental Health: Exploring their Complex Relationships

Disclosure

The authors report no conflicts of interest in this work.

Additional information

Funding

This research was funded by the National Natural Science Foundation of China (NSFC) to Y. Wang (Grant No. 82071522). The NSFC has no role in the design and conduct of the study; in the collection, management, analysis, and interpretation of the data; or in the preparation, review, or approval of the manuscript.