Depressive Symptoms and Their Psychosocial Correlates Among Older Somali Refugees and Native Finns
Bibliographic record
Abstract
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, whereas the association between depressive symptoms and somatization was stronger in the Somali group. The association between alexithymia and somatization did not differ between the groups. A weak SOC explained depressive symptoms among Somalis and Finns, but poor social support did not explain depression in either group. The results are discussed in relation to Somali and Finnish cultures, mental health beliefs, and immigrant populations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".