LIFESTYLE ACCULTURATION AND HEALTH AMONG OLDER FOREIGN-BORN PERSONS
Bibliographic record
Abstract
This thesis investigates the influence of acculturation, measured as duration of residence, on the health status of mid-life and older foreign-born persons in Canada.Previous research has revealed a 'healthy immigrant effect,' which suggests that those who immigrate to Western nations initially have fewer health problems than the nativeborn population.However, this superior health status tends to diminish over time.Although many explanations have been proposed, none have been successful in fully explaining this phenomenon.It is hypothesized that lifestyle acculturation in the areas of smoking, physical activity, fruit and vegetable consumption, and body mass index, will partially explain this increase in health conditions with longer residence duration.Data from the 2001 Canadian Community Health Survey were used for this thesis.The study sample consisted of 9,992 foreign-born individuals aged 45 and older.Logistic regression analyses indicated that the likelihood of having a chronic condition, arthritislrheumatism, high blood pressure, diabetes and fair or poor self-rated health was higher for immigrants who had been in Canada for ten or more years when compared to their counterparts with shorter residence status.However, none of the independent variables fully accounted for this duration of residence effect, including lifestyle behaviours, demographics, visible minority status, language ability, health care utilization, perceived stress and socio-economic status.Since the observed health decline among foreign-born persons with longer stay in Canada was not fully explained, a sub-analysis was conducted to examine age .....................
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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 | 0.001 | 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".