Reciprocal mediation between alexithymia and post-traumatic growth as influencing factors of depression: a cross-sectional analysis in hospitalized older patients with chronic non-communicable diseases
Bibliographic record
Abstract
BACKGROUND: Positive psychology suggests combining negative and positive emotions for research, which is beneficial for promoting mental health. Depression is frequently reported among older patients with chronic non-communicable diseases. This study aimed to analyze the status and influencing factors of depression in hospitalized older patients undergoing chronic non-communicable diseases and explore the relationships between alexithymia (negative emotion) and post-traumatic growth (positive emotion) on depression (negative emotion). METHODS: We conducted a cross-sectional survey using simple random sampling of hospitalized older patients with chronic non-communicable diseases admitted to three tertiary hospitals in Changsha from November 2023 to February 2024. The data were collected by the questionnaire consisting of demographic characteristics, Self-rating Depression Scale, twenty-item Toronto Alexithymia Scale, and Post-traumatic Growth Inventory. We then performed statistical analyses and constructed structural models. RESULTS: A total of 321 hospitalized geriatrics with NCDs were surveyed, of whom 77.88% were diagnosed with depression. Self-care ability and post-traumatic growth are protective factors against depression, while alexithymia is a risk factor that has been linked to higher levels of depressive symptoms. In addition, alexithymia mediated the relationship between post-traumatic growth and depression, and post-traumatic growth also played a mediating role between alexithymia and depression. CONCLUSIONS: During hospitalization, the depression situation of older patients with chronic non-communicable diseases is very serious. Alexithymia and post-traumatic growth not only directly affect depression, but also play an intermediary role in indirectly affecting depression. Medical staff should enhance patients' emotional regulation and expression, promote post-traumatic recovery, and thereby improve their depressive psychology.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".