ArticleScientific reports2025
The relationship between anxiety and depression symptoms in insomnia patients: a network analysis.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Interrelationships between suicide risk, childhood abuse, depression, hopelessness, and social support in treatment-naïve adolescent depression patients: a network analysis.BMC psychiatry · 2026Article
- Network analysis of anxiety, depression, stress, and sleep disturbances in healthcare workers.Frontiers in psychiatry · 2026Article
- Association of psychological symptoms with poor sleep quality in adults: a cross-sectional network analysis and effect modification by thyroid hormones.Frontiers in endocrinology · 2026Article
- Identifying core symptoms of anxiety and depression in colorectal cancer patients: network analysis.Frontiers in psychiatry · 2026Article
- Cross-modal conditional associations between psychometric and polysomnographic indicators in sleep center patients: a Gaussian graphical model.Frontiers in psychiatry · 2026Article
- Network analysis of sleep disorders, anxiety, and loneliness among the community-dwelling older adults.Frontiers in public health · 2026Article
- Sleep disturbance, anxiety, and depression in postoperative ovarian cancer patients: prevalence, associated factors, and symptom interrelationships.Frontiers in oncology · 2026Article
- Association of self-stigma, impulsivity, and insomnia with anxiety and depression in patients with Kallmann syndrome.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025Article
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4 authors.
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Abstract
Anxiety and depressive symptoms are both common in insomnia patients, and they share a critical bidirectional relationship. The available research suggests that transitioning from a disorder-level analysis to a symptom-level analysis may provide a clearer understanding of these relationships. A total of 1571 insomnia patients were enrolled in this study. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), anxiety symptoms were evaluated using the Hamilton Rating Scale for Anxiety (HAM-A), and depressive symptoms were evaluated using the Hamilton Rating Scale for Depression (HAM-D). Subsequently, a network analysis was conducted for the statistical analysis. Among the present sample, the prevalences of depression and anxiety were 87.1% and 88.0%, respectively. We found that the strongest regularized partial correlations existed in the network between "C3: Sleep duration" and "C4: Habitual sleep efficiency" (r = 0.91). Two other strong regularized partial correlations were observed between "B3: Cognitive disturbance" - "B7: Hopelessness" (r = 0.36), "A2: Psychic anxiety" - "B5: Retardation" (r = 0.28). In addition, the item "C3: Sleep duration" had the highest strength centrality in the network, followed by "C1: Subjective sleep quality", "C4: Habitual sleep efficiency", "A2: Psychic anxiety", "B1: Anxiety/Somatization". The findings highlight the crucial role of the strongest regularized partial correlations and bridge symptoms in relation to depression and anxiety. Targeted interventions for clinical control of anxiety and depressive symptoms in insomnia patients are promising.
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