Evidence map›Paper›PMID 42100786›Full record

ArticleFrontiers in psychiatry2026

The relationship between internet addiction and daytime sleepiness in nursing students: a moderated mediation model.

Ying Li, Dan Bu, Keyan Yuan, Piao Xia

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ying LiCollege of Sports Science, Jishou University, Jishou, Hunan, China.
Dan BuDepartment of Neurology, The Third Affiliated Hospital of Naval Medical University, Shanghai, China.
Keyan YuanCollege of Sports Science, Jishou University, Jishou, Hunan, China.
Piao XiaOperating Room, Nanjing Gaochun People's Hospital, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Internet addiction is highly correlated with daytime sleepiness, but the underlying mechanisms between the variables need to be further explored. The aim of this study was to investigate sleep quality as a mediating factor and depression as a moderating factor to further elucidate the potential risk factors between internet addiction and daytime sleepiness in nursing students. Method: A self-report survey was conducted among 1,578 nursing students from eight universities in China. The survey included measures of internet addiction, sleep quality, daytime sleepiness, and depression. Descriptive and correlation analysis of these variables was performed, and a moderated mediation model was constructed. Results: Internet addiction was positively correlated with sleepiness, sleep quality, and depression between nursing days. Sleep quality played a partial mediating role in the relationship between internet addiction and daytime sleepiness in nursing students, and depression strengthened the relationship between internet addiction and sleep quality pathway in a moderated mediation model. Conclusion: This study further revealed the psychological mechanism of the relationship between internet addiction and sleepiness in nursing. Sleep quality was a mediating factor for this relationship, and depression may enhance the strength of the relationship between internet addiction and sleep quality variables.

Indexed as

daytime sleepinessdepressioninternet addictionnursing studentssleep quality

Identifiers

PMID42100786
PMCPMC13143892

What OpenQuestion holds

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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.