A Comparative Study of Prevalence and Risk Factors Associated with Depressive Symptoms in Two Long-Lived Elderly Populations in Brazil
Bibliographic record
Abstract
This cross-sectional study aimed to investigate and compare the prevalence and risk factors associated with depressive symptoms among long-lived elderly, aged 80 and over, in two Brazilian populations. Face-to-face interviews were performed with 417 seniors: 179 living in the poor and rural town of Brejo dos Santos, Paraíba, and 238 in one of the largest urban centers in Latin America, the city of São Paulo, São Paulo. In the rural region of Brejo dos Santos, these depressive symptoms were more associated with the family support network, co-residence, and the number of members of the social network; in São Paulo, on the other hand, depression is more associated with the elderly's difficulty in performing basic and instrumental daily-living activities and with their overall satisfaction with life. From the results obtained, it was possible to verify that a very significant portion of the longevous elderly in Brejo dos Santos, Paraíba, have symptoms that suggest depression, and it is necessary to further investigate environmental and genetic factors that could explain this observation, given that this community has a high frequency of consanguinity.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".