Prior Incarceration and Performance on Immediate and Delayed Verbal Recall Tests: Results From National Longitudinal Study of Adolescent to Adult Health—Parent Study
Bibliographic record
Abstract
OBJECTIVES: This study aimed to investigate the cognitive functioning of formerly incarcerated older adults compared to their never-incarcerated counterparts, focusing on immediate and delayed verbal recall. METHODS: Data are from 2,003 respondents who participated in the National Longitudinal Study of Adolescent to Adult Health-Parent Study (AHPS; ages 47-82, mean age 62). AHPS participants were administered word recall memory exercises to the parent respondent from the Rey Auditory-Verbal administered Learning Test, including (a) 90-s (immediate or short-term verbal memory), (b) 60-s recall tests (delayed or long-term verbal memory), and (c) combined word recall on the 90-s and 60-s tests. RESULTS: Adjusting for control variables, respondents who reported prior incarceration had a lower rate of verbal recall on the combined word recall (incidence risk ratio [IRR] = 0.915, 95% confidence interval [CI] = 0.840, 0.997) and immediate word recall (IRR = 0.902, 95% CI = 0.817, 0.996). When restricting the sample to respondents over age 60, prior incarceration was associated with lower combined word recall (IRR = 0.847, 95% CI = 0.752, 0.954), immediate word recall (IRR = 0.857, 95% CI = 0.762, 0.963), and delayed word recall (IRR = 0.834, 95% CI = 0.713, 0.974). DISCUSSION: This study underscores the adverse impact of prior incarceration on cognitive functioning in the older adult population, emphasizing the need for targeted interventions and support for formerly incarcerated older adults. The results reinforce the importance of addressing the long-term consequences of incarceration, especially as individuals enter older adulthood.
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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 | 0.006 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".