Childhood abuse/neglect and temporal patterns in late-life anxiety
Bibliographic record
Abstract
OBJECTIVES: Anxiety has been associated with childhood abuse/neglect, but this relationship and its mechanisms are poorly documented in older adults. This study examined the association between childhood abuse/neglect and late-life anxiety temporal patterns (i.e. absence, remission, incidence, persistence), testing for mediators. METHODS: study with available information at baseline and 4-year follow-up. Past-month anxiety was based on a cutoff score ≥5 on a French translation of the 7-item Generalized Anxiety Disorder at interviews. Questions on childhood abuse/neglect (e.g. psycho-emotional, physical, sexual) were administered. Adjusted multinomial regression analyses and mediation bootstrapping models were used. Tested mediators included traumatic events (excluding childhood abuse/neglect), daily hassles, psychological resilience, and cortisol activity. RESULTS: The absence, remission, incidence and persistence of anxiety was found in 45.3%, 25.3%, 8.7% and 20.7% of the sample, respectively. Participants with incident and persistent late-life anxiety experienced more childhood abuse/neglect. Participants with persistent anxiety also reported lower psychological resilience. The association between childhood abuse/neglect with anxiety incidence was mediated by daily hassles, while its association with anxiety persistence was mediated by daily hassles and psychological resilience. CONCLUSION: Past childhood abuse/neglect was associated with late-life anxiety incidence and persistence, with psychological resilience and daily hassles potentially explaining this relationship. Further research should focus on ascertaining the clinical applications of psychosocial and biological profiles in informing the prevention and personalized treatment of anxiety 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".