Enfoque gerontológico para el manejo de un caso de trastorno de ansiedad generalizada
Bibliographic record
Abstract
Generalized Anxiety Disorder (GAD) is one of the most prevalent emotional disorders, characterized by excessive and persistent worry lasting six months or more, according to DSM-5 criteria. Its etiology is multifactorial, linked to cognitive-affective factors oriented toward the anticipation of danger. The objective of the study was to assess the emotional and physical evolution of a patient with generalized anxiety disorder through an intervention based on mindfulness and dietary adjustments to promote overall well-being. The patient, a 62-year-old female, presented with anxiety symptoms characterized by frequent headaches, nervousness, constant distress, and self-harming behaviors. She reported exacerbation of symptoms in situations perceived as uncontrollable, including family conflicts, overprotection, and exposure to events related to crime. Physically, she exhibited hyperphagia, excessive sweating, and catastrophic thinking patterns. For clinical evaluation, standardized and reliable instruments were used, such as the GAD-7 Scale, the Hamilton Anxiety Rating Scale, and the Montreal Cognitive Assessment (MoCA). Results indicated the presence of persistent moderate anxiety, unhealthy eating patterns, no signs of cognitive impairment, and no depressive symptoms. The patient was treated using a gerontological approach within a person-centered care model, taking into account her individual needs and psychosocial context. An intervention based on mindfulness and dietary adjustments was implemented to strengthen her overall well-being.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".