Bibliographic record
Abstract
BACKGROUND AND PURPOSE: To examine the predictors of health related, quality of life in rural and urban populations. METHODS: Parents and grandparents of students from 20 randomly selected primary schools in urban and rural areas of Kirikkale, Turkey were questioned for health-related quality of life (HRQL) and psychological distress, using the Short Form-12 (SF-12) Health Survey and Hospital Anxiety and Depression scale (HADS), respectively, which were returned by their children. RESULTS: Of 13,225 parents and grandparents 12,270 returned the questionnaires, for an overall response rate of 92.7%. SF-12 physical component summary (PCS), mental component summary (MCS), and overall scores were lower in participants from rural than those from urban areas. Mean HADS overall score was higher in subjects from rural than those from urban areas (16.6+/-6.8 vs. 14.8+/-6.8, P=0.0001). A linear regression model showed associations between SF-12 overall, PCS, and MCS scores with HAD total score after adjusting for sex, age, BMI, smoking, income, and education. CONCLUSIONS: Quality of life scores in subjects vary between areas. Psychological distress in subjects in rural areas may account for the poorer scores of quality of life in rural areas.
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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 | 0.000 | 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) | 0.002 | 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".