ArticleFrontiers in psychiatry2023
The relationship between alexithymia, depression, anxiety, and stress in elderly with multiple chronic conditions in China: a network analysis.
Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Anxiety, depression and acromegaly: a systematic review.Journal of endocrinological investigation · 2025Pooled it
- 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 school refusal behavior and internalizing and externalizing problems among Chinese adolescents.BMC psychology · 2026Article
- Self-efficacy in nutritional care for older adults among hospital-based nurses: a latent profile and network simulation analysis.BMC nursing · 2026Article
- Alexithymia and its subgroup characteristics in Chinese empty-nesters with multiple chronic diseases: an exploration based on latent class analysis.Frontiers in psychiatry · 2026Article
- The impact of multimorbidity on the occurrence of depression among middle-aged and elderly people in China.PloS one · 2026Article
- Latent profile analysis and associated factors of alexithymia among patients with chronic obstructive pulmonary disease.Frontiers in psychiatry · 2026Article
- Network analysis of anxiety and depressive symptoms among patients with cardiovascular disease.BMC public health · 2025Article
- Network analysis of post-traumatic stress disorder symptoms in stroke patients.Frontiers in psychiatry · 2025Article
- Depression, Anxiety, and Stress Symptoms (DASS-21) in Elderly Women in Association with Health Status (SHSQ-25): A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2024Article
- Network analysis of anxiety and depressive symptoms among patients with heart failure.BMC psychiatry · 2024Article
- Depression and Anxiety among Migrant Older Adults during the COVID-19 Pandemic in China: Network Analysis of Continuous Cross-Sectional Data.Healthcare (Basel, Switzerland) · 2024Article
- Type 1 Diabetes Mellitus, Psychopathology, Uncertainty and Alexithymia: A Clinical and Differential Exploratory Study.Healthcare (Basel, Switzerland) · 2024Article
- The effect of alexithymia on self-perceived aging among community-dwelling older adults with multiple chronic conditions: the mediating role of maladaptive cognitive emotion regulation strategies.Frontiers in psychiatry · 2024Article
- Longitudinal Associations Between Anxiety and Depressive Symptoms in Adolescence, Early Adulthood, and Old Age: Cross-Lagged Panel Network Analyses.Depression and anxiety · 2024Article
- Network analysis of anxiety and cognitive impairment among mental healthcare workers.Frontiers in psychiatry · 2024Article
- Core and bridge symptoms of demoralization in Chinese female cancer patients: a network analysis.Frontiers in psychiatry · 2024Article
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7 authors.
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Abstract
Objective: This study aimed to construct a network structure to investigate the connections between alexithymia, depression, anxiety, and stress in Chinese older adults with multiple chronic conditions (MCC), identifying core and bridge symptoms, and comparing the network structure across different levels of alexithymia. Methods: This study used a cross-sectional survey design and convenience sampling to recruit participants from six cities in Jiangsu Province. The study assessed the levels of alexithymia, depression, anxiety, and stress in older adults with MCC using the Toronto Alexithymia Scale (TAS-20) and the Depression Anxiety and Stress Scale-21 (DASS-21). Network analysis was performed using R language to identify core and bridge symptoms in the network and compare the network structure across different levels of alexithymia. Results: A total of 662 participants were included in the analysis, including 395 men and 267 women. The mean age was 70.37 ± 6.92 years. The finding revealed that the "Difficulty Identifying Feelings" (DIF) node had the highest strength centrality (strength = 2.49) and predictability (rp = 0.76) in the network. The next highest strength centrality was observed for "Meaningless" (strength = 1.50), "Agitated" (strength = 1.47), "Scared" (strength = 1.42), and "No look forward" (strength = 0.75). They were identified as core symptoms. The bridge strength analysis identified "Panic," "Scared," "No wind down," "No initiative," and "No positive" as the bridge symptoms. There were notable differences in the overall network structure and specific connections between the groups with and without alexithymia ( Conclusion: "DIF" is a core node in the network of older adults with MCC, indicating its significance as a potential target for psychological interventions in clinical practice. Preventing and mitigating bridge symptoms such as "panic," "Scared," "No wind down," "No initiative," and "No positive" can effectively impede the spread of symptom activation, thereby interrupting or severing the connections among comorbidities in older adults. Additionally, compared to non-alexithymia individuals, the psychological issues of older adults with alexithymia require prioritized intervention from healthcare professionals.
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