An examination of immigrant status and association with childhood obesity
Bibliographic record
Abstract
Research regarding childhood obesity in Canadian children has failed to address the effects of immigration on weight status. This study examined correlates of obesity and overweight including family functioning, parenting style (consistent parenting, positive interactions, hostile interactions, and punitive parenting), neighborhood conditions, physical activity, and screen time in immigrant children (i.e., children not born in Canada but currently residing in Canada). Correlates of obesity were examined using the National Longitudinal Survey of Children and Youth (NLSCY), a nationally representative data set with several waves of data collection, conducted from 1994 to 2008. The correlates were analyzed using multiple regression models. Neighbourhood factors, family functioning and other parenting factors such as: hostile interaction, positive interactions, punitive parenting and consistent parenting, were not associated with BMI or obesity and overweight status. Contrary to previous findings, time spent in Canada was not associated with physical activity or screen time among immigrant children. None of the variables investigated were significantly associated with obesity and overweight status. This lack of significant findings may have been due to small immigrant sample sizes, inadequate or limited measures of confounding variables; such as macronutrient composition of diet that could not be accounted for in our analysis. However, given that models were run using both logistic and linear regression and results were consistent across the board, there may well have been no relationship between these variables. Findings were non-significant and therefore conclusive findings and recommendations could not be drawn from this study
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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 | 0.000 | 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 | 0.000 |
| 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 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".