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Record W4365137856 · doi:10.11560/jhpr.220509147

Influence of alexithymia on somatic complaints among Japanese adolescents

2023· article· en· W4365137856 on OpenAlexaboutno aff
Ayumi Tannaka, Akio Umezawa

Bibliographic record

VenueJournal of Health Psychology Research · 2023
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaFeelingSomatic cellToronto Alexithymia ScalePsychologyClinical psychologyComplaintDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

This study examined alexithymic tendencies and the effect of these tendencies on somatic complaints in Japanese adolescents. Japanese adolescents (n=2,759; age range 12—20 years) participated in the study. Alexithymic tendencies were assessed by the Alexithymia Scale for Adolescents (ASA) and somatic complaints by the Somatic Complaint List (SCL). The results indicated the following. (1) The total ASA score remained high from early to late adolescence. (2) The ASA total scores remained high because ASA subfactors, difficulty in identifying feelings (DIF), and difficulty describing feelings (DDF) increased during adolescence, whereas externally oriented thinking (EOT) decreased, (3) The DIF significantly affected adolescents’ somatic complaints irrespective of their grade or gender. (4) The DDF increased somatic complaints of junior high and high school-aged male participants only, but this effect disappeared as respondents’ age increased and they became undergraduates. These results indicate that the effect of alexithymic tendencies on somatic complaints changes with age. The study further revealed that the DIF consistently affects the increase in somatic complaints.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.128
GPT teacher head0.497
Teacher spread0.369 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Health Psychology Research→Same topicPsychosomatic Disorders and Their Treatments→French-language works237,207→