Investigating relationships between ancestry, lifestyle behaviors and perceptions of heart disease and breast cancer among Canadian women with British and with South Asian ancestry
Bibliographic record
Abstract
BACKGROUND: Ethnic minority groups including Asians in Canada have different knowledge and perceptions of heart disease and breast cancer compared with the ethnic majority group. AIM: Examine relationships between perceptions of heart disease and breast cancer, and lifestyle behaviors for Canadian women with British and with South Asian ancestry. METHODS: = 33.01, SD = 12.86) reported leisure time physical activity, intended fruit and vegetable consumption, disease perceptions (ability to reduce risk, control over getting the diseases, and influence of family history), and demographic information. Mann-Whitney tests and multiple hierarchical linear regressions were used to examine the relationships between lifestyle behaviors and disease perceptions, with ancestry explored as a possible moderator. RESULTS: Participants with South Asian ancestry believed they had greater ability to reduce their risk and have control over getting breast cancer than participants with British ancestry. Family history influences on getting either disease was perceived as higher for women with British ancestry. Age was positively related to all three perceptions in both diseases. Intended fruit and vegetable consumption was positively related to perceptions of ability to reduce risk and control of both diseases, but was stronger for women with South Asian ancestry regarding perceptions of breast cancer. Leisure time physical activity was positively related to perceptions of control over getting heart disease for women with British ancestry. CONCLUSIONS: Women's disease perceptions can vary by ancestry and lifestyle behaviors. Accurate representation of diseases is essential in promoting effective preventative behaviors.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".