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Record W4281623842 · doi:10.1521/pdps.2022.50.2.360

Attachment Relationships as Determinants of Physical Health

2022· article· en· W4281623842 on OpenAlexaff
Robert Maunder, Jonathan Hunter

Bibliographic record

VenuePsychodynamic Psychiatry · 2022
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsPsychologyDevelopmental psychologyAttachment theoryDiseaseAffect (linguistics)ArousalInsecure attachmentPhysical healthClinical psychologyMental healthSocial psychologyMedicinePsychiatryCommunication

Abstract

fetched live from OpenAlex

Childhood adversity alters the relational world of the child and inhibits the development of secure attachment bonds. The purpose of this article is to survey recent evidence that attachment insecurity has the potential to impair physical health throughout the lifespan. It is proposed that attachment insecurity contributes to disease risk through a range of mechanisms which include (1) disturbances in arousal and recovery within physiological systems that respond to stress; (2) physiological links between the mediators of social relationships, stress, and immunity; (3) links between relationship style and various health behaviors; and (4) disease risk factors that serve as external regulators of dysphoric affect, such as nicotine and alcohol. The evidence for these mechanisms, particularly the evidence that has accumulated since the model was first proposed in 2000, is presented and discussed.

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 score0.155
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.415
Teacher spread0.386 · 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

Citations104
Published2022
Admission routes1
Has abstractyes

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