Evidence map›Paper›PMID 41680215›Full record

ArticleScientific reports2026

Effect of mobile phone addiction on sleep quality in patients aged 18-45 years with acute myocardial infarction: a chain mediation analysis of coping style, anxiety, and depression.

Li Xu, Baoling Liu, Xiaoli Zhou, Yun Liu

Abstract read
In one paragraph

Article in Scientific reports, 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.

Li XuDepartment of Coronary Heart Diseases, Jinan Central Hospital (Central Hospital Affiliated to Shandong First Medical University), Jinan, 250013, Shandong, China.
Baoling LiuDepartment of Surgery, Jinan Lixia District People's Hospital, Jinan, 250013, Shandong, China.
Xiaoli ZhouDepartment of Internal Medicine, Jinan Lixia District People's Hospital, Jinan, 250013, Shandong, China.
Yun LiuCardiac Critical Care Unit, Jinan Central Hospital(Central Hospital Affiliated to Shandong First Medical University), Jinan, 250013, Shandong, China. 18774898663@163.com.

Funding

the 2024 Clinical Medicine Science and Technology Innovation Program Project of the Jinan Municipal Science and Technology Bureau 202430032
6 · The paper itself

Abstract

Rising acute myocardial infarction (AMI) incidence in young adults coincides with increased mobile phone addictione, which has been connected to poor sleep quality. However, mechanisms linking mobile overuse to sleep disturbances, particularly the mediating roles of coping styles and psychological distress, remain underexplored. This study investigated the association between mobile phone addictione and sleep quality in AMI patients aged 18–45 years, examining coping styles, anxiety, and depression as potential mediators. In this study, a cross-sectional study (January 2023–January 2025) enrolled 125 patients via convenience sampling. The results showed that mobile phone addiction is positively associated with poor sleep in young patients with AMI, which may be related to coping styles and symptoms of anxiety/depression. Holistic interventions addressing digital habits, mental health, and coping strategies may improve the sleep quality in this population.

Indexed as

Adaptation, PsychologicalAnxietyBehavior, AddictiveCell PhoneDepressionMyocardial InfarctionSleep QualitySleep Wake DisordersAdolescentAdultCoping SkillsCross-Sectional StudiesFemaleHumansMaleMediation AnalysisAnxietyCoping behaviorDepressionMediation analysisMobile phone useMyocardial infarctionSleep qualityYoung adults

Identifiers

PMID41680215
PMCPMC12972322

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.