Exploring Knowledge and Perspectives of South Asian Children and Their Parents Regarding Healthy Cardiovascular Behaviors: A Qualitative Analysis
Bibliographic record
Abstract
South Asian children and parents have been shown to have a higher risk for cardiovascular disease (CVD) relative to white individuals. To design interventions aimed at addressing the comparatively higher burden in South Asians, a better understanding of attitudes and perspectives regarding CVD-associated behaviors is needed. As a result, we sought to understand knowledge about CVD risk in both children and parents, and attitudes toward physical activity and diet in both the children and parents, including potential cultural influences. In-depth interviews were conducted with 13 South Asian child-and-parent dyads representing a range of child body mass index (BMI) levels, ages, and with both sexes. South Asian children and parents demonstrated good knowledge about CVD prevention; however, knowledge did not always translate into behavior. The influence of social and cultural dynamics on behavior was also highlighted. To ensure that interventions aimed at this population are effective, an understanding of the unique social dynamics that influence diet and physical activity-related behaviors is needed.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".