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Record W2991531931

Depressive Symptoms and Their Psychosocial Correlates Among Older Somali Refugees and Native Finns

2014· article· en· W2991531931 on OpenAlexaboutno aff
Saija Kuittinen, Raija‐Leena Punamäki, Mulki Mölsä, Samuli I. Saarni, Marja Tiilikainen, Marja‐Liisa Honkasalo

Bibliographic record

VenueWOS · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaSomatizationSomaliPsychologyPsychosocialClinical psychologyDepression (economics)PsychiatryBeck Depression InventoryRefugeeDepressive symptomsToronto Alexithymia ScaleCognitionAnxiety
DOInot available

Abstract

fetched live from OpenAlex

In this study, we analyzed the manifestation of somatic-affective and cognitive depressive symptoms among older Somali refugees and native Finns. Second, we explored how depressive symptoms, alexithymia, and somatization are associated in the two groups. Finally, we analyzed how two psychosocial factors, sense of coherence (SOC) and social support, are connected to depressive symptoms among Somalis and Finns. The participants were examined with the Beck Depression Inventory (BDI) for depressive symptoms, the Symptom Checklist–90–Revised (SCL-90-R) for somatization, Toronto Alexithymia Scale (TAS-20) for alexithymia, and the Sense of Coherence (SOC-13) concept for SOC. Social support was indicated by help received from social networks and marital status. Results showed that Somalis manifested more somatic-affective symptoms of depression than Finns, whereas Finns manifested more cognitive symptoms than Somalis. The association between depressive symptoms and alexithymia was stronger in the Finnish group, w...

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.787

Codex and Gemma teacher scores by category

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

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 head0.014
GPT teacher head0.371
Teacher spread0.357 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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