Post-traumatic stress disorder and memory function in older adults exposed to civilian conflict: Findings from the Northern Ireland Cohort for the Longitudinal Study of Ageing (NICOLA)
Bibliographic record
Abstract
Research with veterans, refugees and other trauma-exposed groups has identified a link between post-traumatic stress disorder (PTSD) and deficits in memory. This study sought to determine whether similar associations can be observed in a large, population-representative sample of older adults with high levels of exposure to conflict amongst older adults in Northern Ireland (NI). Using data from the Northern Ireland COhort for the Longitudinal study of Ageing (NICOLA), we assessed whether the presence of PTSD was associated with poorer performance on tasks of global cognition, immediate and delayed verbal recall, executive function, verbal fluency and two tests of prospective memory. Participants were 2,142 community dwelling adults, resident in NI and aged 50 and over. The NI weighted prevalence of current PTSD was 4.74%, which is high relative to other international estimates. Nearly 60% of those with PTSD reported the NI Troubles as their self-reported worst traumatic exposure, despite the height of the conflict occurring decades before, suggesting long-term consequences of the civil conflict. Individuals with PTSD recalled approximately half a word less than those without on tests of verbal recall and scored lower on global cognitive assessments: Mini Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA), after accounting for sociodemographic characteristics. However, this effect was attenuated after further adjusting for health behaviours and current depression. The findings suggest an effect of trauma on cognitive function at a population level. Future research should explore the nature of this relationship over time.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".