Lifestyle risk factors for chronic disease across family origin among adults in multiethnic, low-income, urban neighborhoods.
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: To describe the prevalence and co-occurrence of lifestyle risk factors for chronic disease by family origin. DESIGN: Cross-sectional analysis. SETTING: Multiethnic, low-income, urban neighborhoods in Montreal, Canada. PARTICIPANTS: 2033 adults (42.2% male), mean age 39.7 (standard deviation 6.4) years OUTCOME MEASURES: Smoking, level of physical activity, dietary habits, body mass index. METHODS: Subjects completed self-report questionnaires on sociodemographic characteristics, height, weight, and lifestyle behaviors. We tested family origin (based on language first learned in childhood and country of birth) as an independent correlate of co-occurrence (having at least two lifestyle risk factors) in multivariate logistic regression analyses. RESULTS: The prevalence of smoking and poor diet was highest among participants of French Canadian family origin. Although physical inactivity was uniformly high across family origins, it was highest among participants of Portuguese, Italian, and Haitian family origin. Obesity was highest among Europeans. The prevalence of smoking was lowest among Haitians; poor diet was lowest among South Asians; and physical inactivity was lowest among Eastern Europeans. Obesity was lowest among Asians, with the exception that 55.9% of South Asians were overweight or obese. Relative to French Canadians, adults in all other family-origin groups had a lower risk of co-occurrence of lifestyle risk factors. Adults of Asian family origin had the lowest prevalence of co-occurrence of lifestyle risk factors. CONCLUSION: Variation in the distribution of lifestyle risk factors may explain in part differences in chronic disease morbidity and mortality across ethnic groups. Prevention programs should take differential distribution of lifestyle risk factors by ethnicity into account.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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