Impact of smartphone dependence on depression in Chinese adolescents with a moderated mediation model

In the digital age, smartphones have evolved into essential tools in contemporary society, raising significant concerns regarding their influence on daily life, particularly among adolescents. This research, drawing on the social-ecological systems theory, explored how smartphone dependence gradually impacted adolescent mental health under the combined influence of family and school environments.This study collected data from 3,770 high school students in China and analyzed it using SPSS along with the PROCESS. The results showed that smartphone dependence positively affected adolescent depression. Academic burnout and school belonging served as linked mediators in the relationship between smartphone dependence and depression. Moreover, parental involvement, serving as a moderating factor, played a significant role in the relationship between academic burnout and school belonging on adolescent depression. When parental involvement was low, the positive association between academic burnout and depression was substantial, as was the negative association between school belonging and depression. However, with higher levels of parental involvement, the positive effect of academic burnout on depression diminished, while the negative effect of school belonging on depression became more pronounced. These findings illuminated the psychological mechanisms that contributed to smartphone dependence and provided a theoretical framework for formulating interventions designed to alleviate depression in adolescents.

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Publication Details

Journal
Scientific Reports
Published
2025-05-04
DOI
https://doi.org/10.1038/s41598-025-00276-z
Citations
3
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
12.60
Controls
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article

Impact of smartphone dependence on depression in Chinese adolescents with a moderated mediation model

Deng Pan, Wen Li, Wenjuan Zhang, Xuehui Li et al.
3 citations
Scientific Reports
Impact of Technology on Adolescents
12.60
article

Impact of smartphone dependence on depression in Chinese adolescents with a moderated mediation model

Deng Pan, Wen Li, Wenjuan Zhang, Xuehui Li, Shengkai Wang
article en
3 citations

Abstract

In the digital age, smartphones have evolved into essential tools in contemporary society, raising significant concerns regarding their influence on daily life, particularly among adolescents. This research, drawing on the social-ecological systems theory, explored how smartphone dependence gradually impacted adolescent mental health under the combined influence of family and school environments.This study collected data from 3,770 high school students in China and analyzed it using SPSS along with the PROCESS. The results showed that smartphone dependence positively affected adolescent depression. Academic burnout and school belonging served as linked mediators in the relationship between smartphone dependence and depression. Moreover, parental involvement, serving as a moderating factor, played a significant role in the relationship between academic burnout and school belonging on adolescent depression. When parental involvement was low, the positive association between academic burnout and depression was substantial, as was the negative association between school belonging and depression. However, with higher levels of parental involvement, the positive effect of academic burnout on depression diminished, while the negative effect of school belonging on depression became more pronounced. These findings illuminated the psychological mechanisms that contributed to smartphone dependence and provided a theoretical framework for formulating interventions designed to alleviate depression in adolescents.

Scientific ReportsVol. 15(1)
Qingdao University (CN), Affiliated Hospital of Qingdao University (CN)
Openalex Percentile: Top 2%
Impact of Technology on Adolescents
12.60
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Impact of smartphone dependence on depression in Chinese adolescents with a moderated mediation model — Deng Pan, Wen Li, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS