A impulsividade e alexitimia predizem a agressividade em pessoas idosas institucionalizadas?
Bibliographic record
Abstract
Abstract: Introduction: Alexithymia and impulsivity are related and predict aggressiveness in younger adults, especially in forensic contexts. However, little is known about this relationship in older adults, especially in geriatric institutionalized settings, where aggressiveness presents a high prevalence. Thus, we aimed to analyze the impact of impulsivity and alexithymia in institutionalized older adults’ aggressiveness after examining the relationships between these variables. Relevant variables were controlled for in these relations. Methods: Ninety-seven institutionalized participants (60–94 years, 70.1% women, 59.8% nursing homes’ residents) were assessed with the Buss-Perry Aggression Questionnaire-SF, Toronto Alexithymia Scale-20, and Barratt’s Impulsiveness Scale-15. Results: The self-reported level of aggressiveness was low in our sample. Aggressiveness correlated with and was predicted by alexithymia (R2=17.6%; β=0.24, p<.05) and impulsiveness (R2=17.6%; β=0.34, p<.01). Conclusion: Despite the low levels of aggressiveness (potentially explained by levels of medication, more supervision, and more frailty), our findings with institutionalized older adults demonstrate the relevance of alexithymia and impulsiveness for understanding aggressiveness in older adults, adding to previous studies with other types of populations. We provide directions for psychotherapeutic strategies.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".