Does being defiant and irritable take a toll on physical health? Examining the covariation between symptoms of physical health and oppositional defiance across adolescence to young adulthood
Bibliographic record
Abstract
Objectives. While oppositional defiance is often considered a childhood behavioural problem, the negative impact of symptoms on relationships and emotional wellbeing may endure well into young adulthood and can affect overall physical health. However, little is known about the co - occurrence of oppositional defiance symptoms (ODS) and changes in physical health functioning, particularly during the transition to young adulthood. This study examines the coupled change between ODS and physical health symptoms during this critical developmental period to inform the long - term somatic manifestations of ODS.Methods. Participants (N = 662; 52% female) from the Victoria Healthy Youth Survey (V-HYS) were assessed for ten years across six biennial occasions from ages 12–18 to ages 22–30. A multilevel time -varying covariation model, disaggregating within- and between - person variability, examined whether change in ODS was systematically associated with change in physical health symptoms.Results. On average, individuals with higher ODS reported more physical health symptoms. Moreover, ODS also shared a significant within - person time - varying association with physical health, suggesting that the two symptom domains fluctuated together within - individuals across time, irrespective of between - person differences.Conclusion. This study provides a novel within- and between - person demonstration of the link between ODS and physical health symptoms from youth to young adulthood.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".