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Study on the relativity among the attachment type, alexitymia and defense style of depression patients

2016· article· en· W3031154785 on OpenAlexaboutno aff
Yin Yuan, Wenjun Mao

Bibliographic record

VenueZhonghua xingwei yixue yu naokexue zazhi · 2016
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaDepression (economics)Toronto Alexithymia ScaleNeuroticismAttachment theoryPsychologyClinical psychologyMedicineInternal medicinePersonalityPsychoanalysis

Abstract

fetched live from OpenAlex

Objective To evaluate the attachment type, the level of alexitymia and the defense style of depression patients and their relativity. Methods 32 depression patients were assessed with the adult attachment scale (AAS-1996 Revised Edition), toronto alexithymia scale (TAS) and defense style questionnaire(DSQ), and 80 healthy people were involved as controls. Results The depression patients showed significantly different attachment type from the control group(χ2=47.6, P<0.01). Compare with the control group, the depression patients showed higher scores in immature defense style((5.47±1.13) vs (3.79±1.09)) and neurotic defense style((4.93±0.56) vs (4.20±1.00), (P<0.01)). Compared with controls, the depression patients showed higher scores in TAS total score((76.88±8.94) vs (65.70±7.98)) factor I ((3.34±0.77) vs (2.41±0.78)) and factor Ⅱ ((3.64±0.51) vs (2.65±0.55), P<0.01), and lower scores in factor III((2.51±0.78) vs (3.14±1.03), P<0.01). The depression patients' adult attachment was significantly correlative with their scores of alexithymia. The depression patients' adult attachment was also significantly correlative with their scores of defense style. Conclusion The attachment of depression patients may lead to depression via their defense style. Depression leads to alexitymia. Depression patients with different features of attachment show different level of alexitymia. Key words: Depression; Adult attachment; Attachment type; Alexithymia; Defense style

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 score0.016
Threshold uncertainty score0.575

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.035
GPT teacher head0.318
Teacher spread0.283 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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