The role of childhood generalized anxiety in the internalizing cluster
Bibliographic record
Abstract
BACKGROUND: Anxiety, depression and somatization (the internalizing cluster) are highly comorbid, prevalent and associated with significant individual and societal costs. Although prior studies have examined their natural course, there has been a little investigation into how symptoms unfold at the individual level. We examined the intraindividual (within-person) temporal patterning of symptom development and the impact of risk factors (sex, ethnicity, socioeconomic indicators, bullying victimization, child maltreatment) on symptom means and trajectories (between-person), comparing youth and parent reports. METHOD: Over a 7-year interval from age 11 to 17, children (n = 669; 54% girls; 79% White) and parents (89% mothers) reported on symptoms of anxiety and depression from age 11 and somatization from age 13. Autoregressive latent trajectory models with structured residuals were used to uncouple within- and between-person sources of variance. RESULTS: According to self-reports, generalized anxiety consistently predicted depression, while anxiety and depression consistently predicted somatization. Anxiety also had an indirect effect on somatization via depression. According to parent reports, there were several bidirectional effects between anxiety and depression and between depression and somatization. Experiences of abuse were consistent risk factors for self-reported internalizing symptoms, and across informants, girls had higher symptom means and rising trajectories compared to boys. CONCLUSION: Generalized anxiety plays an important role in adolescent depressive and somatic symptoms. Primary prevention of anxiety may be warranted to curb symptom continuity and the development of comorbidity. Research is needed to determine whether self-reports of anxiety should be prioritized over parent reports and continued efforts are needed to reduce bullying and child maltreatment.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".