Older People at Risk of Suicide: A Local Study During the COVID-19 Confinement Period
Bibliographic record
Abstract
BACKGROUND: Suicide in older adults represents an insufficiently addressed public health problem, despite the aging population and the increase in mental disorders in this group. The COVID-19 pandemic and associated measures, such as lockdown, could have exacerbated this phenomenon. This study aimed to analyze the impact of the confinement decreed during the state of alarm in Spain on the incidence of deaths by suicide in people over 70 years of age in Extremadura. METHODS: An observational and retrospective study was carried out, using data from the Institutes of Legal Medicine and Forensic Sciences, comparing the figures for 2020 with the years 2019, 2021, along with the average for the period 2015-2019. Statistical analyses included Chi-square tests and calculation of Relative Risk with 95% CI. RESULTS: The results revealed a significant increase in deaths by suicide in the third quarter of 2020 compared to the periods compared, especially among men. CONCLUSIONS: It is concluded that confinement may have negatively influenced the mental health of older adults, which underscores the need for specific interventions and attention to regional contextual factors.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".