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Record W4387157855 · doi:10.1080/13607863.2023.2260329

Emotion dysregulation in older people: validity and reliability of an 8-item version of the Difficulties in Emotion Regulation Scale

2023· article· en· W4387157855 on OpenAlexaboutno aff
Helena Espírito‐Santo, Luís Paraíso, Diogo Andrade, Fernanda Daniel, Alexandra Grasina, Laura Lemos, Luís Simões, Johan Bjureberg

Bibliographic record

VenueAging & Mental Health · 2023
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyExploratory factor analysisConstruct validityClinical psychologyAlexithymiaPsychometricsScale (ratio)Geriatric Depression ScaleAnxietyPsychological interventionPopulationReliability (semiconductor)PsychiatryMedicineDepressive symptoms

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.477

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.357
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2023
Admission routes1
Has abstractyes

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