Bibliographic record
Abstract
Research has shown that the prevalence of overweight in recent immigrants increases with time spent in North America; however, there is a lack of research on overweight in Canadian immigrant youth. The purpose of the current study was to assess the relationship between generatio!1 of immigration and overweight in Canadian youth, and to examine the influence of various risk factors (acculturation, ethnicity, socioeconomic status) on this relationship. Longitudinal data from Cycles 1 to 7 of the National Longitudinal Survey of Children and Youth were used. Children aged 6-11 years ( N = 13,657) and adolescents aged 12-17 years (N = 10,467) were included. Generation of immigration was classified based on youth and parents' countries of birth. Overweight was assessed using age- and sex-specific percentiles, based on parent- and self-reported body mass index. Multilevel modeling was used to test hypotheses. Results showed that generation of immigration predicted overweight in both children and adolescents, after controlling for gender, age, socioeconomic status, and ethnicity. First generation immigrants showed relative weight gain between childhood and adolescence. The effects of acculturation on overweight depended on generation of immigration. This research suggests that consideration of generation of immigration and the acculturation process are important for obesity prevention strategies in Canadian youth.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".