ArticleBMC geriatrics2025
Network analysis of sleep disorders, depression and anxiety symptoms among community older adults.
Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- The Development and Optimisation of a Spinosin Solid-Dispersion-Based Functional Dairy Beverage and Its Sleep-Promoting Effects in Mice.Foods (Basel, Switzerland) · 2026Article
- Network analysis of sleep disorders, anxiety, and loneliness among the community-dwelling older adults.Frontiers in public health · 2026Article
- Identifying core symptoms of anxiety and depression in colorectal cancer patients: network analysis.Frontiers in psychiatry · 2026Article
- A network analysis of benefit finding, posttraumatic growth, anxiety, and depression in breast cancer patients.Frontiers in oncology · 2026Article
- The impact of the TyG index and psychosocial factors on depression in elderly non-diabetic patients with atrial fibrillation.Frontiers in psychiatry · 2026Article
- Network Analysis of Fear of Recurrence and Sleep Disorders in Ovarian Cancer Patients Undergoing Chemotherapy.International journal of women's health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundSleep disorders, depression, and anxiety are emerging as significant public health concerns among the aging population worldwide, and they are highly interrelated with each other. We aim to identify key symptoms and shed light on a deeper understanding of the intricate connections between symptoms of sleep disorders, depression and anxiety.
methodsThis study used multistage sampling to select 18 residential areas in Jinjiang District, Chengdu City, Sichuan Province, China from December 2017 to April 2018. A total of 434 urban community-dwelling older adults aged 60 or above were recruited. The item scores of the Pittsburgh Sleep Quality Index (PSQI), Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) were used to measure the participants' symptoms of sleep disorders, depression and anxiety, respectively. The statistical analysis employed network analyses as the primary methodology.
resultsWithin the realm of depressive symptoms, "Suicidality" showed the strongest link with "Worthlessness" (weight = 0.23). In terms of cross-disorders connections, "Disturbed sleep" in depression displayed a close relationship with "Sleep latency" in sleep disorders (weight = 0.32). However, no strong connection was observed between anxiety and sleep disorders. Furthermore, the symptoms "Fatigue" and "Sleep difficulties " had the highest strength centrality (z > = 1).
conclusionsThe central symptoms and their intricate connections in the network play an importance role in gaining the underlying pathological mechanisms, as well as potential interventions for comorbidity in community older adults.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.