Trajectories of Eating Behaviours During Adolescence Among Canadian Youth
Bibliographic record
Abstract
This study aimed to investigate the presence of sub-groups of boys and girls presenting different trajectories of multiple eating behaviours (i.e., consumption of vegetables and fruits, sugary beverages, breakfast and fast food) throughout adolescence. Data from seven cycles of the MATCH study, which followed 744 participants from the age of 11 to 18 years old, were included. At each cycle, participants reported how often they ate breakfast and consumed vegetables and fruits, sugary beverages and fast foods on a weekly basis. Trajectories of eating behaviours over a 7-year period were identified using group-based multi-trajectory modeling. Changes in eating behaviours occurred at roughly 13–14 years of age for both genders. For girls, three different groups were identified, namely ‘stable food intake with decline in daily breakfast consumption’ (39.9%), ‘moderate food intake and declining of overall eating behaviours’ (38.0%), and ‘stable high food intake’ (22.1%). For boys, five different groups were identified, namely ‘low food intake with stable daily breakfast consumption’ (27.3%), ‘breakfast skippers and increasing fast food intake’ (27.1%), ‘low food intake with decline in daily breakfast consumption’ (23.9%), ‘high food intake with worsening of eating behaviours’ (13.3%), and ‘average food intake with consistently high breakfast consumption’ (8.4%). Among boys and girls, eating behaviours evolve through various distinct trajectories during adolescence. No group of adolescents presented eating trajectories that could be described as healthy and most are characterised by a worsening of eating behaviours throughout adolescence. To promote healthier eating behaviours during adolescence, gender-specific approaches and interventions are needed in addition to general public health messages. The MATCH study is supported by the New Brunswick Health Research Foundation (20,130,729), the Social Sciences and Humanities Research Council (435-2016-0888), and Sport Canada through the joint Sport Participation Research Initiative (862-2010-0001 and 862-2014-0002).
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".