ANXIETY AND 10-YEAR RISK OF INCIDENT AND RECURRENT DEPRESSIVE SYMPTOMATOLOGY IN OLDER ADULTS
Bibliographic record
Abstract
BACKGROUND: Anxiety has been shown to often precede depression in children and young adults. Only a small number of investigations have examined this form of comorbidity in older adults and the temporal relationship of these syndromes remains unclear. The objective was to verify whether trait anxiety predicts incident/recurrent depressive symptomatology in older adults independently of variables susceptible to explain this relationship in this population, such as cognitive complaints, subjective health, and baseline depressive symptoms. METHODS: A random sample of 4,649 individuals aged 65 years or older from the Three-City Study, a prospective longitudinal study with a 10-year follow-up, was used. Incident and recurrent depressive symptomatology were determined by Center for Epidemiological Studies Depression Scale cutoff scores. Anxiety was measured using the trait scale of the State-Trait Anxiety Inventory. Cox proportional hazards models were used to determine the independent risk of depressive symptomatology for baseline anxiety, cognitive complaints, subjective health, and depressive symptoms, adjusting for sociodemographic, mental health, and physical health covariates. RESULTS: Incident depressive symptomatology was independently predicted by baseline anxiety, depressive symptoms, cognitive complaints, and subjective health. Recurrent depressive symptomatology was independently predicted by baseline anxiety and depressive symptoms, but not by cognitive complaints and subjective health. Anxiety was associated with a higher risk of incident depressive symptomatology only in participants without a history of a major depressive episode, and with a higher risk of recurrent depressive symptomatology in men than in women. CONCLUSIONS: Trait anxiety constitutes an important independent risk factor for subsequent depressive symptomatology in older adults.
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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 | 0.000 | 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".