Depression and Anxiety in Hospice Patients
A Combination of Network Analysis and Latent Class Analysis
Bibliographic Data
| ID | 17334504 |
|---|---|
| Authors | Zhiqi Yi (0009-0009-7054-5608, University of Kansas), Shuo Xu (0000-0002-8602-1819, Renmin University of China), Jie Yang (0000-0001-6912-4966, Beijing Sereniturn Palliative Care Development Centre), Ning Zhang (0000-0002-6318-6303, Beijing Sereniturn Palliative Care Development Centre), Chang Li (0000-0002-7161-7206, Beijing Haidian Hospital, corresponding author), Changhong Li (0000-0003-0513-1459, Beijing Haidian Hospital) |
| Year | 2026 |
| Pages | 1-20 |
| Publication date | 2026-02-16 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | The Journal of Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0022-3980 • E-ISSN: 1940-1019 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/00223980.2026.2630183 |
| PMID | 41699794 |
| OpenAlex | W7129608108 |
| Language | EN |
| References cited | 50 |
Depression and anxiety are prevalent among hospice patients. A detailed understanding of the symptom comorbidity and key symptoms of depression and anxiety among Chinese hospice patients can promote targeted interventions. This study investigates the depression and anxiety symptom network and compares networks in different symptom groups in 388 Chinese hospice patients. Patient Health Questionnaire-9 and the Seven-Item Generalized Anxiety Disorder Scale were used to measure depression and anxiety. Psychometric network analysis and latent class analysis were conducted using R and MPLUS. Hopelessness and anhedonia in depression and excessive worry and nervousness in anxiety symptoms were identified as the most central symptoms. Hopelessness, nervousness, and irritability were identified as the bridging symptoms. Latent class analysis identified two groups based on sixteen symptoms: "mild-symptom" and "moderately-severe-symptom." Significant global strength differences were found between the networks of the mild-symptom group and the moderately-severe-symptom group. In the mild-symptom network, hopelessness, excessive worry, uncontrollable worry, and anhedonia were the central symptoms, while hopelessness, worthlessness, and uncontrollable worry were the bridging symptoms. In the moderately-severe-symptom network, nervousness, difficulty relaxing, fatigue, impending doom, and uncontrollable worry were the central symptoms, while hopelessness and nervousness were the bridging symptoms. These findings suggest that hopelessness should be a primary intervention target to reduce overall depression and anxiety symptoms. Additional focus should be placed on anhedonia, excessive worry, and nervousness. Intervening in hopelessness, nervousness, and irritability helps reduce the concurrence between depression and anxiety. Nuanced intervention strategies should be implemented based on the severity of symptoms among hospice patients
Anhedonia · Anxiety · Depression (economics) · Intervention (counseling) · Irritability · Latent class model · Worry · Chronic Disease Management Strategies · Mental Health Research Topics · Mental Health via Writing
Comparing network structures on three aspects
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MGM
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Qgraph
A tutorial on regularized partial correlation networks.
Network Analysis
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The PHQ-9
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Bridge Centrality
Node centrality in weighted networks
Validation of Death and Dying Distress Scale-Chinese Version and Prevalence of Death Anxiety Among Patients With Advanced Cancer
The Simultaneous Decision(s) about the Number of Lower- and Higher-Level Classes in Multilevel Latent Class Analysis
Latent Class Analysis
| Citation velocity | historical |
|---|---|
| Highly cited | No |