Funcionamiento psicosocial en pacientes agudos y crónicos no psiquiátricos en régimen hospitalario: depresión, alexitimia y falta de asertividad
Bibliographic record
Abstract
BACKGROUND: Depression, alexithymia, and lack of assertiveness interfere with individual psychosocial functioning and may result in longer hospitalization stay and poorer therapeutic results. AIM: To analyze the psychosocial functioning in acute and chronic patients and its association with psychological, clinical and sociodemographic variables. MATERIAL AND METHODS: We performed a cross-sectional study that included 80 inpatients of both sexes with organic pathology, aged between 18 to 70 years old, without any current psychiatric disorder. Clinical and sociodemographic data were collected from a semi-structured interview and hospital records. Beck Depression Inventory-IA, Toronto Alexithymia Scale-20 and Rathus Assertiveness Scale were administered. RESULTS: Fifty five percent of patients had some degree of depression, 33% alexithymia and 34% lack of assertiveness. The levels of depression, alexithymia and lack of assertiveness in chronic patients were significantly higher than those observed in acute patients. Women and participants older than 60 years exhibited the highest degrees of depression. Alexithymia and lack of assertiveness were associated with a lower educational level. A negative significant correlation between alexithymia and assertiveness scores was observed among acute patients. CONCLUSIONS: Participants with chronic diseases had a lower psychosocial functioning. Less educated patients showed more alexithymic and less assertive features. We emphasized the need of a better management of these aspects by the health team, since social functioning might interfere with the outcome of physical illnesses.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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; both teacher heads agree on what is shown here.
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".