Evidence map›Paper›PMID 40171312›Full record

ArticleFrontiers in psychiatry2025

The impact of smartphone addiction on mental health and its relationship with life satisfaction in the post-COVID-19 era.

Chunyue Zhu, Shuo Li, Lei Zhang

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Chunyue ZhuSchool of Marxism, Chuzhou University, Chuzhou, China.
Shuo LiSchool of Civil and Architecture Engineering, Chuzhou University, Chuzhou, China.
Lei ZhangSchool of Civil and Architecture Engineering, Chuzhou University, Chuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following the COVID-19 outbreak, smartphone usage among quarantined Chinese college students surged significantly, leading to a growing dependency on their devices and adversely impacting their emotional well-being. Consequently, the negative emotions associated with smartphone addiction have emerged as critical factors influencing students' life satisfaction. However, the psychological mechanisms linking these emotional effects to life satisfaction, as well as potential sustainable educational interventions, remain insufficiently explored. This study assessed a sample of 322 undergraduates (51.6% male) using the Mobile Phone Addiction Index (MPAI), the Depression, Anxiety, and Stress Scale (DASS-21), and the Satisfaction With Life Scale (SWLS) to construct a mediation model. The aim was to examine the relationships between smartphone addiction, negative emotions, and life satisfaction. Results revealed that smartphone addiction was significantly positively correlated with negative emotions (r = 0.332, p < 0.01), while negative emotions were significantly negatively correlated with life satisfaction (r = -0.391, p < 0.01). Among these negative emotions, depression emerged as a key factor, intensifying smartphone dependence and detrimentally affecting overall life satisfaction. The mediation analysis demonstrated that smartphone addiction contributes to the development of negative emotions, which in turn reduce life satisfaction. Students with higher levels of smartphone addiction reported heightened negative emotions, leading to more pessimistic coping strategies and, ultimately, a decline in mental health and life satisfaction. This study provides valuable insights into the impact of smartphone addiction on college students' life satisfaction and offers actionable educational recommendations to mitigate its harmful effects, promoting healthier and more sustainable lifestyles for students.

Indexed as

COVID-19depressionhealth carenegative emotionssmartphone addiction

Identifiers

PMID40171312
PMCPMC11960497

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.