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.
Abstract
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.
AI evidence extraction
Main findings
Mobile phone addiction is positively associated with poor sleep quality in young patients with acute myocardial infarction, potentially mediated by coping styles and symptoms of anxiety and depression.
Outcomes measured
- sleep quality
Limitations
- cross-sectional design limits causal inference
- convenience sampling may affect generalizability
View raw extracted JSON
{
"study_type": "cross_sectional",
"exposure": {
"band": null,
"source": "mobile phone",
"frequency_mhz": null,
"sar_wkg": null,
"duration": null
},
"population": "patients aged 18-45 years with acute myocardial infarction",
"sample_size": 125,
"outcomes": [
"sleep quality"
],
"main_findings": "Mobile phone addiction is positively associated with poor sleep quality in young patients with acute myocardial infarction, potentially mediated by coping styles and symptoms of anxiety and depression.",
"effect_direction": "harm",
"limitations": [
"cross-sectional design limits causal inference",
"convenience sampling may affect generalizability"
],
"evidence_strength": "low",
"confidence": 0.40000000000000002220446049250313080847263336181640625,
"peer_reviewed_likely": "yes",
"keywords": [
"mobile phone addiction",
"sleep quality",
"acute myocardial infarction",
"coping styles",
"anxiety",
"depression"
],
"suggested_hubs": []
}
AI can be wrong. Always verify against the paper.
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