Depression among Older Adult Prisoners at the Jos Central Prison- North Central Nigeria
Bibliographic record
Abstract
This study was carried out to determine the prevalence of depression and its correlates among Older Adult Prisoners at the Jos Central Prison, North Central Nigeria. The study was a cross-sectional descriptive chart, conducted at the Jos Central prisons on eighty-six (86) older prisoners between June 2012 to December 2012. Bio-demographic data and history of any chronic medical condition as well as that of psychiatric condition were also obtained from their clinical records in the clinic located within the prison. Depression was assessed using the Geriatric Depression Scale (GDS) on all the volunteers 50 years and above. The GDS measures cognitive, affective, functional state and a factor that reflects helplessness and fear for the future. The study was largely composed of male making up to 99%. The age range was between 50 to 75 years with a mean 54.36 (SD 3.24) with most of them between 50 to 60 years (90%). A quarter (25%) had not received any form of education while 7 out of 10 had received some form of education. Majority of them were employed (skilled or un-skilled employment) before incarceration. Only 2% were unemployed before their incarceration. Those incarcerated for violent crimes (65%) nearly doubled those in prison for non-violent crimes 35%. Occupational status, pre-existing medical conditions and the perception of their health status before incarceration were found to be statistically significant. Type of crimes committed was not statistically significant. Known chronic medical condition(s) was a risk factor in the inmates developing depression (P-value =0.009). In comparing the specific medical conditions with depression, significant findings were found (P-value= 0.003). The study revealed a prevalence of depression at 59% in older prisoners of 50 years and above. The significant predictors of depression include occupational status, pre-exisitng medical conditions, and the perception of their health status before incarceration were found to be statistically significant.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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".