Trajectories of childhood eating behaviors and their association with internalizing and externalizing symptoms in adolescence
Bibliographic record
Abstract
OBJECTIVE: Several studies have shown that maladaptive eating behaviors in childhood predict greater risk for eating disorders in adolescence. Whether or not maladaptive eating behaviors could represent developmental risk factors for a larger spectrum of psychopathologies is unknown. This study described longitudinal trajectories of overeating and picky eating behaviors in boys and girls from ages 2.5 to 6 years. We then examined whether these developmental trajectories in childhood are associated with internalizing and externalizing symptoms during mid-adolescence (age 15). METHODS: 2 014 participants were recruited at birth as part of the Quebec Longitudinal Study of Child Development. Mothers completed a measure of childhood eating behaviors at 29, 41, 44-56, 56-68 months, and 6 years old. Participants completed the Mental Health and Social Inadaptation Assessment for Adolescents at age 15. Latent class analyses and univariate regression analyses were conducted. RESULTS: The optimal model for overeating behaviors had three trajectory groups (early-onset overeating; 14.1%, late-onset overeating; 24.3%, and never-displayed overeating; 61.6%). Three stable trajectory groups were found for picky eating behaviors (high level; 7.1%, mid-level; 37.4%, low level; 55.5%). Higher overeating behaviors in childhood were associated with greater impulsivity, hyperactivity, and anxiety in adolescence in girls but not in boys. Trajectories of picky eating were not linked with mental-health symptoms in adolescence. CONCLUSIONS: Overeating behaviors appear less stable over time than picky eating behaviors. Our findings highlight the importance of addressing psychological well-being and ADHD symptoms in children who overeat, particularly in girls, rather than focusing solely on healthy eating habits.
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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".