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Record W623749694 · doi:10.1177/1363461515589708

From culture to symptom: Testing a structural model of “Chinese somatization”

2015· article· en· W623749694 on OpenAlexafffund
Xiaolu Zhou, Yunshi Peng, Xiongzhao Zhu, Shuqiao Yao, Jessica Dere, Yulia Chentsova-Dutton, Andrew G. Ryder

Bibliographic record

VenueTranscultural Psychiatry · 2015
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsConcordia UniversityThe Scarborough HospitalJewish General HospitalUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsSomatizationConceptualizationPsychologyDistressChinese cultureChinese peopleConfirmatory factor analysisClinical psychologyChinaStructural equation modelingAnxietyPsychiatry

Abstract

fetched live from OpenAlex

"Chinese somatization" has been frequently discussed over the past three decades of cultural psychiatry, and has more recently been demonstrated in cross-national comparisons. Empirical studies of potential explanations are lacking, however. Ryder and Chentsova-Dutton (2012) proposed that Chinese somatization can be understood as a cultural script for depression, noting that the literature is divided on whether this script primarily involves felt bodily experience or a stigma-avoiding communication strategy. Two samples from Hunan province, China-one of undergraduate students (n = 213) and one of depressed psychiatric outpatients (n = 281)-completed the same set of self-report questionnaires, including a somatization questionnaire developed in Chinese. Confirmatory factor analysis demonstrated that Chinese somatization could be understood as two correlated factors: one focusing on the experience and expression of distress, the other on its conceptualization and communication. Structural equation modeling demonstrated that traditional Chinese cultural values are associated with both of these factors, but only bodily experience is associated with somatic depressive symptoms. This study takes a first step towards directly evaluating explanations for Chinese somatization, pointing the way to future multimethod investigations of this cultural script.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score0.613

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)0.0000.000

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 head0.034
GPT teacher head0.306
Teacher spread0.271 · 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

Citations55
Published2015
Admission routes2
Has abstractyes

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