Exploring the prospective relationships between food addiction symptoms, weight bias internalization, and psychological distress in Chinese adolescents
Bibliographic record
Abstract
OBJECTIVE: Relationships exist between food addiction symptoms, weight bias internalization, and psychological distress, yet previous research is primarily cross-sectional with adults from Western contexts. We examined the prospective relationships between food addiction symptoms, weight bias internalization, and psychological distress in Chinese adolescents. METHODS: Over three time points (Time 1, baseline; Time 2, 6-months; Time 3, 12-months) spanning 1 year, we examined cross-sectional and bi-directional relationships between food addiction symptoms, weight bias internalization, and psychological distress in Chinese adolescents (N = 589; aged 14-18 years at baseline). Pearson correlations and cross-lagged models examined the cross-sectional and longitudinal relationships between food addiction symptoms, weight bias internalization, and psychological distress. RESULTS: Cross-sectional correlations suggested positive relationships between food addiction symptoms, weight bias internalization, and psychological distress at each time point. Regarding bi-directional relationships, higher psychological distress was associated with both higher weight bias internalization and higher food addiction symptoms at the following time points. However, food addiction symptoms and weight bias internalization were not prospectively associated. Time 2 psychological distress did not significantly mediate the relationship between Time 1 weight bias internalization and Time 3 food addiction symptoms. DISCUSSION: Findings suggest no direct longitudinal link between food addiction symptoms and weight bias internalization and vice versa. However, findings do suggest that psychological distress is temporally associated with higher food addiction symptoms and weight bias internalization in Chinese adolescents. Targeting psychological distress may prove useful in treatments of food addiction symptoms and weight bias internalization in Chinese adolescents. PUBLIC SIGNIFICANCE: Positive associations exist between food addiction symptoms, weight bias internalization, and psychological distress, but findings are largely cross-sectional and bound to adult populations from Western contexts. Using a longitudinal design in Chinese adolescents, findings suggested that baseline psychological distress was associated with higher food addiction symptoms and higher weight bias internalization at follow-up time points. Treatments targeting psychological distress may be helpful in reducing food addiction symptoms and weight bias internalization in Chinese adolescents.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".