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Record W3214872726 · doi:10.1017/s135246582100045x

OCD, death anxiety, and attachment: what’s love got to do with it?

2021· article· en· W3214872726 on OpenAlexaboutno aff

Bibliographic record

VenueBehavioural and Cognitive Psychotherapy · 2021
Typearticle
Languageen
FieldPsychology
TopicDeath Anxiety and Social Exclusion
Canadian institutionsnot available
Fundersnot available
KeywordsDeath anxietyAnxietyFear of deathAttachment theoryAnxiety disorder

Abstract

fetched live from OpenAlex

BACKGROUND: Death anxiety has been empirically implicated in obsessive compulsive disorder (OCD). Research has shown that secure attachments appear to protect against fear of death, and are also associated with reduced risk of mental illness. However, few studies have investigated the moderating effect of attachment style in the relationship between death anxiety and OCD. AIMS: The present study sought to explore whether attachment style moderates the relationship between death anxiety and OCD symptoms among a treatment-seeking sample of individuals diagnosed with OCD. METHOD: Following a structured diagnostic interview, a number of measures were administered to 48 participants. These included the Multidimensional Fear of Death Scale, Vancouver Obsessive Compulsive Inventory, and Experiences in Close Relationships-Revised. RESULTS: As expected, death anxiety was a strong predictor of OCD severity, and other markers of psychopathology. However, contrary to hypotheses, neither anxious nor avoidant attachment style moderated the association between fear of death and OCD severity. CONCLUSIONS: The current findings add further support to the role of death anxiety in OCD. Given the absence of a moderating effect of attachment between death fears and OCD severity, it is possible that this proposed buffer against death anxiety may potentially be insufficient in the presence of this disorder. Further research is needed to clarify whether attachment style may moderate the relationship between death anxiety and symptom severity in other disorders.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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 head0.342
Teacher spread0.307 · 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

Citations12
Published2021
Admission routes1
Has abstractyes

Explore more

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