Family income and youths' symptoms of depression and anxiety: a longitudinal study of the French GAZEL Youth cohort
Bibliographic record
Abstract
BACKGROUND: It is not clear whether socioeconomic inequalities with regard to depression and anxiety are present in adolescence and young adulthood. We tested the hypothesis that in the community, youths growing up in families with low income have elevated rates of such psychological difficulties. METHODS: We used data from participants of the GAZEL Youth study, a French community-based cohort assessed in 1991 and 1999 (n = 941 youths, 4-18 years of age at baseline). Measures of family income and youths' symptoms of depression and anxiety (assessed using the ASEBA family of instruments) were obtained from parents and youths at study baseline and follow-up. Covariates included family characteristics (parental divorce, parental unemployment or labor force exit, parental health difficulties including psychopathology and the quality of family relations) and youths' characteristics (sex, age, stressful life events, history of internalizing and externalizing problems). RESULTS: Youths from families with low income during the study period had elevated odds of symptoms of depression and anxiety at follow-up (compared to youths from families with intermediate/high income, age-adjusted OR: 1.74, 95% CI 1.17-2.57; fully adjusted OR: 1.94, 95% CI: 1.27-2.97). In particular, the likelihood of psychological difficulties was elevated among youths from families that experienced decreasing and persistently low income over time (fully adjusted ORs, respectively: 2.44, 95% CI 1.24-4.81 and 1. 83, 95% 1.10-3.06). CONCLUSIONS: Clinicians need to be aware that youths growing up in low-income families in the community may be at risk of depression and anxiety during the period of transition to 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| 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".