Chronic prostatitis-like symptoms in African males aged 16-19 years.
Bibliographic record
Abstract
INTRODUCTION: To estimate the prevalence of chronic prostatitis (CP)-like symptoms in African adolescents, examining the impact of demographic factors, CP-like symptoms (i.e., pain, urinary) and depressive symptoms on quality of life (QoL). MATERIALS AND METHODS: Community dwelling African males aged 16-19 years (M = 16.97; SD = .88; n = 166), attending secondary school participated. CP-like case identification was based on NIH-Chronic Prostatitis Symptom Index definition (NIH-CPSI; pain in perineum and/or with ejaculation and NIH-CPSI total pain score of ≥ 4 [mild] and ≥ 8 [moderate-severe]). The Patient Health Questionnaire (PHQ) assessed depressive symptoms. CP-like point prevalence was estimated and multivariable regressions predicted diminished QoL as screened in the NIH-CPSI QoL domain. Participants were consented by field researchers and all potential participants agreed to complete the measures in classroom setting. RESULTS: Prevalence of at least mild CP-like symptoms by NIH-CPSI case identification was 13.3%, with 5.4% of adolescents reporting moderate-severe symptoms. Greater pain, urinary and depressive symptoms and rural setting of school were associated with diminished QoL, and pain (β = .36) most strongly predicted poorer QoL. CONCLUSIONS: As in North American adults and adolescents, African adolescents report CP-like symptom occurrence with pain associated with lower QoL. The data suggest an adolescent CP syndrome is an internationally important and understudied area for future epidemiological and clinical investigations.
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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 | 0.001 |
| 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) | 0.003 | 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".