Rural–Urban Differences in the Prevalence of Chronic Disease in Northeast China
Bibliographic record
Abstract
Rural-urban differences in the prevalence of chronic diseases in the adult population of northeast China are examined. The Jilin Provincial Chronic Disease Survey used personal interviews and physical measures to research the presence of a range of chronic diseases among a large sample of rural and urban provincial residents aged 18 to 79 years (N = 21 435). Logistic regression analyses were used. After adjusting for age and gender, rural residents had higher prevalence of hypertension, chronic ischemic heart disease, cerebrovascular disease, chronic low back pain, arthritis, chronic gastroenteritis/peptic ulcer, chronic cholecystitis/gallstones, and chronic lower respiratory disease. Low education, low income, and smoking increased the risk of chronic diseases in rural areas. Reducing rural-urban differences in chronic disease presents a formidable public health challenge for China. The solution requires focusing attention on issues endemic to rural areas such as poverty, lack of chronic disease knowledge, and the inequality in access to primary care.
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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 | 0.001 | 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 | 0.000 | 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) | 0.001 | 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".