Longitudinal Effects of Stressful Life Events on Problematic Smartphone Use and the Mediating Roles of Mental Health Problems in Chinese Undergraduate Students
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Background and Aims: This three-wave longitudinal study investigated the effects of stressful life events on problematic smartphone use and the mediating roles of mental health problems (i.e., depressive symptoms, poor sleep quality, and suicidal ideation) in Chinese undergraduate students. Methods: A total of 197 undergraduate students completed the three-wave surveys. Their severity of stressful life events, mental health problems, and problematic smartphone use were assessed. Results: Regression analyses revealed that stressful life events at T1 was significantly associated with problematic smartphone use at T3. Mediation analyses showed that mental health problems (i.e., depressive symptoms, poor sleep quality, and suicidal ideation) at T2 fully mediated the association between stressful life events at T1 and problematic smartphone use at T3 (B = 0.042, 0.034, and 0.022, respectively). Conclusions: The present study revealed that stressful life events and mental health problems (i.e., depressive symptoms, poor sleep quality, and suicidal ideation) are predictors of problematic smartphone use in Chinese college students.
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Online social support can enhance the well-being and overall health of individuals, both physically and mentally.
“Online social support represents the extension of social support that is traditionally available in the physical world to the virtual realm of cyberspace and can enhance the well-being and overall health of individuals, both physically and mentally.”
From How social media usage affects psychological and subjective well-being: testing a moderated mediation model (2023) · cites this paper as [78]
The Discussion (page not provided) says the Internet can help people seek social support to alleviate or eliminate suicidal ideation, supporting a narrower mental-health benefit. It does not say online social support improves physical health or overall well-being generally. (LLM, conf=0.85)
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Jurado, Y. E. P., Giraldo, D. J., & Pérez, Y. J. (2025) · Revista Salud Bosque · doi:10.18270/rsb.4754
Shen, Y., Tang, R., Wang, C., Li, X., & Wang, D. (2026) · Addictive Behaviors · doi:10.1016/j.addbeh.2026.108773
- Authors
- Zhao, C., Ding, N., Yang, X., Xu, H., Lai, X., Tu, X., Lv, Y., Xu, D., & Zhang, G.
- Affiliations
- Wenzhou Medical University (CN)
- Chinese University of Hong Kong (HK)
- Corresponding author
- Lv, Yijun
- Xu, Dongwu
- Zhang, Guohua
- Venue
- Frontiers in Public Health
- Publisher
- Frontiers Media SA
- Published
- 2021-12-03
- Volume
- 9
- Pages
- 752210-752210
- ISSN
- 2296-2565 (ISSN-L)
- PMC
- PMC8678111
- OpenAlex
- W4200313135
- Cited by
- 28
- References
- 72
- Citations by year
- 2026: 2 · 2025: 8 · 2024: 10 · 2023: 4 · 2022: 4
- FWCI
- 6.23
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Public Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Social Sciences › Psychology › Developmental and Educational Psychology › Student Stress and Coping
- Keywords
- life events, smartphone addiction, mental illness, depressive symptoms, sleep quality, suicidal ideation, mediation, university students, Chinese university students
- MeSH terms
- Smartphone, China, Humans, Longitudinal Studies, Mental Health, Students
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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