ArticleJournal of affective disorders2023
A network analysis of anxiety and depression symptoms in Chinese disabled elderly.
Article in Journal of affective disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.
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97 citing papers in PubMed, 139 citations in OpenAlex.
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- Psychometric Network Characteristics of Anxiety and Depression Among Chinese Physical Education Teachers.Behavioral sciences (Basel, Switzerland) · 2026Article
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- Associations of the Chinese healthy eating index and dietary diversity score with depressive and anxious symptoms among older adults.BMC psychiatry · 2026Article
- Anxiety and depression subtypes and their psychotherapy response: A network analysis of 33,675 patients.Psychological medicine · 2026Article
- Bridge symptoms connecting depressive, sleep, and cognitive domains in rural older adults with type 2 diabetes: a symptom network approach.BMC geriatrics · 2026Article
- Dietary diversity trajectories and depression symptoms among rural older adults: a latent class growth analysis and network analysis based on the China longitudinal health and longevity study.BMC public health · 2026Article
- Exploring the network structure and lived experiences of preoperative fear in patients with esophageal cancer: a convergent mixed-methods study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Generalised anxiety disorder (GAD-7) in Ukrainian sample during wartime.Social psychiatry and psychiatric epidemiology · 2026Article
- The relationship between depressive symptoms and instrumental activities of daily living among older adults in China and its associations with age, sex, and outdoor activity engagement.BMC geriatrics · 2026Observational
- Network analysis of symptoms related to quality of life and subjective well-being during pregnancy.Reproductive health · 2026Article
- Symptom-specific intervention targets for depression and anxiety among older adults by physical multimorbidity patterns: a simulation-based network analysis.Social psychiatry and psychiatric epidemiology · 2026Article
- Network analysis of depression, anxiety, and NSSI symptoms in adolescents: a clinical sample study.BMC psychiatry · 2026Article
- Physical disorders, ADLs, cognition, and depression in nursing home residents: a parallel mediation analysis.BMC geriatrics · 2026Article
- A network analysis of depression and anxiety symptoms among Chinese elderly with multiple chronic conditions: based on the 2017-2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS).BMC psychology · 2026Article
- Network analysis of suicidal tendency and mental health symptoms in college students: a gender-differences comparison.BMC psychology · 2026Article
- Symptoms of anxiety and depression in informal caregivers of persons with dementia: a latent profile analysis and computer-simulated network analysis.BMC geriatrics · 2026Article
- Suicidal ideation and influencing factors among hospitalized older adults with functional impairments: a mixed-methods study.BMC psychology · 2026Article
37 more citing papers are in PubMed but not listed here.
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14 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundMental health is an essential dimension of healthy aging. The number and severity of disabled elderly in China show an increasing tendency year by year. Due to their impaired ability of daily activities, reduced social participation and reduced self-care ability, they are more prone to depression and anxiety.
methodWe included 2131 individuals aged 65 and older from the Chinese Longitudinal Healthy Longevity Survey (CLHLS 2017-2018). We used the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10) and the Generalized Anxiety Disorder scale-7 (GAD-7) to assess depression and anxiety, respectively. The structure of depressive and anxiety symptoms was characterized using "Expected Influence" and "Bridge Expected Influence" as centrality indices in the symptom network. Network stability was tested using a case-dropping bootstrap procedure. Finally, a Network Comparison Test (NCT) was conducted to examine whether network characteristics differed by gender.
resultsNetwork analysis revealed that nodes CESD3 (Felt sadness), GAD2 (Uncontrollable worry), and GAD4 (Trouble relaxing) were the primary symptoms of the anxiety-depression network. Anxiety and depression were united by the symptoms of CESD9 (Could not get going), GAD1 (Nervousness or anxiety), CESD10 (Sleep quality), and GAD4 (Trouble relaxing). Additionally, Gender did not significantly affect the network structure.
conclusionCentral symptoms (e.g., felt sadness, uncontrollable worry and trouble relaxing) and key bridge symptoms (e.g., could not get going, nervousness and anxiety) in the depressive and anxiety symptoms network may be used as potential targets for intervention among disabled elderly who is at risk for or suffer from depressive and anxiety symptoms.
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