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Record W2968549202 · doi:10.1177/1359104519869782

Emotion regulation group skills training for adolescents and parents: A pilot study of an add-on treatment in a clinical setting

2019· article· en· W2968549202 on OpenAlexaboutno aff
Kristina Holmqvist Larsson, Gerhard Andersson, Heléne Stern, Maria Zetterqvist

Bibliographic record

VenueClinical Child Psychology and Psychiatry · 2019
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychoeducationAlexithymiaPsychologyClinical psychologyAnxietyIntervention (counseling)Mental healthToronto Alexithymia ScaleDepression (economics)Psychiatry

Abstract

fetched live from OpenAlex

Difficulties with emotion regulation have been identified as an underlying mechanism in mental health. This pilot study aimed at examining whether group skills training in emotion regulation for adolescents and parents as an add-on intervention was feasible in an outpatient child and adolescent psychiatric clinic. We also investigated if the treatment increased knowledge and awareness of emotions and their functions, increased emotion regulation skills and decreased self-reported symptoms of anxiety and depression. Six skills training groups were piloted with a total of 20 adolescents and 21 adults. The treatment consisted of five sessions dealing with psychoeducation about emotions and emotion regulation skills training. Paired-samples t test was used to compare differences between before-and-after measures for adolescents and parents separately. The primary outcome measure, Difficulties in Emotion Regulation Scale, showed significant improvement after treatment for both adolescents and parents. For adolescents, measures of alexithymia were significantly reduced. Also, emotional awareness was significantly increased. Measures of depression and anxiety did not change. In conclusion, group skills training as an add-on treatment can be feasible and effective but further studies are needed.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.063
GPT teacher head0.405
Teacher spread0.341 · 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.

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

Citations46
Published2019
Admission routes1
Has abstractyes

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