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Record W2036524407 · doi:10.5539/ijps.v4n1p174

Comparison Group and Individual Cognitive Behavioral Therapy in Treatment of Depression among Iranian Women around Menopause

2012· article· en· W2036524407 on OpenAlexvenueno aff
Robab Khoshbooii

Bibliographic record

VenueInternational Journal of Psychological Studies · 2012
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsnot available
Fundersnot available
KeywordsDepression (economics)PsychologyMenopauseClinical psychologyPsychological interventionRepeated measures designAnalysis of varianceCognitive behavioral therapyDescriptive statisticsCognitionSignificant differenceIntervention (counseling)PsychiatryMedicineInternal medicine

Abstract

fetched live from OpenAlex

The aim of this study was to examine the effects of cognitive behavioral therapy (CBT) on depression and compare the difference between two formats of group and individual CBT among Iranian women at mid-life. The Sample for this study comprised 64 women (aged between 41 and 55 years with a depression score between 21 and 56) in Tehran, capital city of Iran. The participants were randomly assigned into two experimental groups and one control group. The first experimental group was exposed to 16 sessions of group CBT and the second experimental group underwent eight sessions of individual CBT. The experimental and control groups were assessed for the level of depression before and after the interventions and four weeks follow up. Descriptive statistics, Repeated Measure ANOVA, and independent t-test were used to analyze the data. The results suggested the feasibility and clinical advantages of CBT on depression but showed no significant difference between group and individual intervention among Iranian women around menopause.

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 score0.219
Threshold uncertainty score0.811

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.230
GPT teacher head0.493
Teacher spread0.263 · 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

Citations2
Published2012
Admission routes1
Has abstractyes

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