Emotion dysregulation in older people: validity and reliability of an 8-item version of the Difficulties in Emotion Regulation Scale
Bibliographic record
Abstract
Objectives The abbreviated 16-item version of the Difficulties with Emotion Regulation Scale (DERS-16) is widely used to assess individuals’ perceived challenges in regulating their emotions, a central aspect of psychological symptoms commonly experienced in old age. However, its psychometric properties have yet to be tested in this population. Furthermore, a shorter version of the DERS-16 could further minimize the assessment burden on older individuals. Thus, we aimed to test the DERS-16’s psychometric performance and determine if any items were redundant to develop a psychometrically sound shorter version.Methods We enrolled 302 Portuguese older adults (Mage = 75.22; SD = 8.99 years) in a cross-sectional study.Results Exploratory factor analyses indicated a one-factor structure and a four-factor solution with eight items (69.3%–81.9% of the variance observed). The four-factor–8-item solution presented an interpretable structure and demonstrated good reliability values (> 0.70) and construct validity with the Twenty-Item Toronto Alexithymia Scale, Eight-Item Geriatric Depression Scale, and Geriatric Anxiety Inventory (r = 0.66, 0.40, 0.52; p < 0.001).Conclusion The robust psychometric properties of DERS-8 make it a valuable tool for clinical and longitudinal studies, facilitating targeted interventions in older adults and allowing for precise emotion dysregulation screening.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".