ArticleAnnals of medicine2025
Network characteristics of comorbid symptoms in alcohol use disorder.
Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Effects of Transcranial Magnetic Stimulation on Alcohol Craving, Efficacy, Emotion, and Cognitive Function in Patients With Alcohol Use Disorders: A Systematic Review and Meta-Analysis of Randomized Controlled Trial.Brain and behavior · 2026Pooled it
- Identification of distinct clinical phenotypes and their neurobiological signatures in stress-exposed individuals: A multimodal machine learning approach.European psychiatry : the journal of the Association of European Psychiatrists · 2026Article
- Mental health spending in Colombia: an analysis of rural and urban areas.Annals of general psychiatry · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIndividuals with alcohol use disorder (AUD) often experience symptoms such as anxiety, depression, and decreased sleep quality. Although these are not diagnostic criteria, they may increase dependence risk and complicate treatment. This study aims to analyze comorbidities and their complex relationships in AUD patients through epidemiological surveys and network analysis. MATERIALS AND
methodsUsing multi-stage stratified cluster random sampling, we selected 27,913 individuals and identified those with AUD for the study. All screened subjects were assessed with the General Health Questionnaire, Pittsburgh Sleep Quality Index, and Simple Coping Style Questionnaire, and diagnosed according to DSM-IV criteria. Network analysis and visualization were performed in R 4.4.0. The
resultsIn the partial correlation network, among the three major comorbidity categories, 'anxiety/depression' was most strongly associated with 'sleep quality'. 'Anxiety/depression' and 'sleep quality' had the highest node centrality, with 'sleep latency' also showing notable centrality. The DAG results indicated that 'sleep latency' had the highest probability priority, directly affecting 'anxiety/depression' and key sleep quality symptoms such as 'subjective sleep quality', 'sleep disturbances', 'sleep duration', and 'sleep efficiency', while also indirectly influencing other symptoms.
conclusionsAmong the comorbid symptoms of AUD, sleep latency appears to be a key factor in triggering other comorbid symptoms. This study provides a basis for interventions aimed at reducing the comorbid symptoms of AUD and promoting recovery.
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