P3‐523: PREVALENCE OF GERIATRIC DEPRESSION AND ALEXITHYMIA IN WIFE CAREGIVERS OF PATIENTS WITH DEMENTIA
Bibliographic record
Abstract
Caregiving for a patient with dementia is a stressful process which increases the risk of physical and mental problems, and tends to restrict the caregiver's social life to the caregiver-patient relationship. The role of family caregiver is mainly assumed by married middle-aged women who live with the patient. The objetive is evaluate the prevalence of geriatric depression and alexithymia and the possible association between these two variables in elderly wife caregivers, undiagnosed with depression. A simple retrospective, cross sectional, correlational study was conducted. A non-probability, purposive sampling strategy was used. The sample was comprised of 105 self-reliant wife caregivers over sixty years old, living in Buenos Aires, Argentina. They were evaluated in individual interviews using the following measures: a socio-demographic questionnaire (ad hoc), an adaptation of the Geriatric Depression Scale created by Yesavage (V-15) and the Latin American Consensual Toronto Alexithymia Scale LAC TAS-20. Measures of central tendency and of dispersion were obtained to describe geriatric depression and alexithymia and the Pearson's “r” correlation coefficient was used to measure the degree of association between these two variables. An error probability minor or equal to 0.05 was established. Data were analysed by SPSS statistical software version 21.0. Median age of caregivers was 70.20 years old (ds: 7.1 years). The prevalence of geriatric depression was 57.8 %, and that of alxithymia was 52%. Furthermore, a moderate positive correlation was found between the two variables (“r”: .464, p: .000). Family caregivers are underdiagnosed patients. Therefore, the evaluation of these subjects in parallel with the patient's medical consultation is recommended. Assessing levels of geriatric depression and alexithymia on its initial stages allows for proper diagnoses and treatment, in order to preserve the family caregiver's 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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".