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Record W3127667772 · doi:10.47391/jpma.1247

Alexithymia and anxiety symptoms in Pakistani adolescents: a study of compounded directions

2021· article· en· W3127667772 on OpenAlexaboutno aff
Sadia jafer, Farzana Ashraf, Amna Arif, Admin Admin

Bibliographic record

VenueJournal of the Pakistan Medical Association · 2021
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaToronto Alexithymia ScaleAnxietyMedicineMultivariate analysis of variancePsychological interventionClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Abstract Objectives: There is an empirical evidence that symptoms of internalizing disorders such as alexithymia and anxiety increase in adolescence and these symptoms varies across gender and age groups. The purpose of this study was to explore these differences in adolescents. Method: In this cross-sectional study conducted since November 2018 to March 2019, the sample of 185 adolescents selected through random sampling method from different schools. They were assessed on alexithymia and anxiety symptoms by administering Toronto Alexithymia Scale and Hamilton Anxiety Scale respectively. Multiple Analysis of Variance (MANOVA) was applied to determine the direct and interactive effect of age groups and gender on alexithymia and anxiety symptoms. Results: The results demonstrate that boys reported significantly (p<0.05) higher level of alexithymia symptoms partially (externally oriented) as compared to their counterparts. Further significant (p<0.05) interactive effect of age group and gender was also seen. Conclusion: The present study concluded that the presence of clinical symptoms in school going adolescents may hinder in the physical and psychological health of adolescents, which should be managed through suitable interventions. Keywords: Alexithymia symptoms, Anxiety symptoms, Continuous...

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)0.001
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 score0.009
Threshold uncertainty score0.225

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.007
GPT teacher head0.290
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

Citations9
Published2021
Admission routes1
Has abstractyes

Explore more

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