Physical Exercise and Mobile Social Media Dependence Among University Students: Exploratory Conditional-Process Patterns Involving Loneliness and Self-Control

Physical exercise may be associated with less problematic digital use, but the evidence is heterogeneous, and the interpersonal and self-regulatory correlates of this association remain uncertain. We examined the observed-score relationships among exercise, loneliness, self-control, and mobile social media dependence in 205 non-physical-education undergraduates in Jiangxi, China. Item-level questionnaire data were rescored using published keys. Exercise was associated with lower dependence (r = −0.823), lower loneliness (r = −0.799), and higher self-control (r = 0.723; all p < 0.001). However, loneliness and dependence remained extremely highly correlated, and a targeted diagnostic CFA estimated a boundary-level latent correlation of approximately 0.999, indicating inadequate discriminant validity. An exploratory PROCESS-equivalent Model 15 showed significant exercise × self-control (B = 0.0133, p < 0.001) and loneliness × self-control (B = 1.0042, p < 0.001) interactions; the conditional product-of-coefficients index was −0.0177, 95% bootstrap CI [−0.0244, −0.0113]. HC3 and influential-case sensitivity analyses preserved the interaction pattern. The data therefore support a robust observed-score association between greater exercise and lower dependence, but they do not establish a distinct loneliness-mediated mechanism or causal ordering. These findings highlight the importance of integrating behavioral, interpersonal, and self-regulatory perspectives while prioritizing construct differentiation and measurement validity in research on university students’ digital well-being.

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Publication Details

Journal
Behavioral Sciences
Published
2026-10-15
DOI
https://doi.org/10.3390/bs16101908
Primary Topic
Impact of Technology on Adolescents
Type
article
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article

Physical Exercise and Mobile Social Media Dependence Among University Students: Exploratory Conditional-Process Patterns Involving Loneliness and Self-Control

Fenghua Zhang, Yang Jin, Xiaoyu Wu, Xiaojin Wang
Behavioral Sciences
Impact of Technology on Adolescents
article

Physical Exercise and Mobile Social Media Dependence Among University Students: Exploratory Conditional-Process Patterns Involving Loneliness and Self-Control

Fenghua Zhang, Yang Jin, Xiaoyu Wu, Xiaojin Wang
article en

Abstract

Physical exercise may be associated with less problematic digital use, but the evidence is heterogeneous, and the interpersonal and self-regulatory correlates of this association remain uncertain. We examined the observed-score relationships among exercise, loneliness, self-control, and mobile social media dependence in 205 non-physical-education undergraduates in Jiangxi, China. Item-level questionnaire data were rescored using published keys. Exercise was associated with lower dependence (r = −0.823), lower loneliness (r = −0.799), and higher self-control (r = 0.723; all p < 0.001). However, loneliness and dependence remained extremely highly correlated, and a targeted diagnostic CFA estimated a boundary-level latent correlation of approximately 0.999, indicating inadequate discriminant validity. An exploratory PROCESS-equivalent Model 15 showed significant exercise × self-control (B = 0.0133, p < 0.001) and loneliness × self-control (B = 1.0042, p < 0.001) interactions; the conditional product-of-coefficients index was −0.0177, 95% bootstrap CI [−0.0244, −0.0113]. HC3 and influential-case sensitivity analyses preserved the interaction pattern. The data therefore support a robust observed-score association between greater exercise and lower dependence, but they do not establish a distinct loneliness-mediated mechanism or causal ordering. These findings highlight the importance of integrating behavioral, interpersonal, and self-regulatory perspectives while prioritizing construct differentiation and measurement validity in research on university students’ digital well-being.

Behavioral SciencesVol. 16(10)
Jiangxi University of Traditional Chinese Medicine (CN), Jiangxi Normal University (CN)
Good health and well-being
Openalex Percentile: Top 6%
Impact of Technology on Adolescents
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