Adult‐onset diabetes among Arabs and Jews in Israel: a population‐based study
Why this work is in the frame
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Bibliographic record
Abstract
AIMS: To study the age at presentation and factors associated with adult-onset diabetes (≥ 20 years) among Arabs and Jews in Israel. METHODS: Participants (n = 1100) were randomly selected from the urban population of the Hadera District in Israel. The study sample was stratified into equal groups according to sex, ethnicity (Arabs and Jews) and age. Information on age at diabetes presentation, family history of diabetes, history of gestational diabetes, socio-demographic and lifestyle characteristics was obtained through personal interviews. Self reports of diabetes were compared with medical records and were found reliable (κ = 0.87). The risk for diabetes was calculated using Kaplan-Meier survival analysis. Factors associated with diabetes in both ethnic groups were studied using Cox proportional hazard model. RESULTS: The prevalence of adult-onset diabetes was 21% among Arabs and 12% among Jews. Arab participants were younger than Jews at diabetes presentation. By the age of 57 years, 25% of Arabs had diagnosed diabetes; the corresponding age among Jews was 68 years, a difference of 11 years (P < 0.001). The greater risk for diabetes among Arabs was independent of lifestyle factors, family history of diabetes and, among women, history of gestational diabetes; adjusted hazard ratio 1.70; 95% confidence interval 1.19-2.43. CONCLUSIONS: Arabs in Israel are at greater risk for adult-onset diabetes than Jews and are younger at diabetes presentation. Culturally sensitive interventions aimed at maintaining normal body weight and active lifestyle should be targeted at this population. Possible genetic factors and gene-environmental interactions underlying the high risk for diabetes among Arabs should be investigated.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it