Clinical correlates of socioeconomic status in adolescent bipolar disorder
Bibliographic record
Abstract
BACKGROUND: Lower socioeconomic status (SES) is associated with symptomatic severity, comorbidity, and functional impairment in adults with bipolar disorder (BD). Little is known about clinical correlates of SES in adolescents with BD. METHODS: Participants included 195 adolescents, 13-20 years old, with BD type I, II or not otherwise specified (NOS). Diagnoses were determined by standardized semi-structured interviews. Based on the Hollingshead scale, participants were divided into "low" (SES 1-3) and the "high" (SES 4-5) SES groups. Demographic and clinical correlates of SES were evaluated in univariate analyses; significant variables were evaluated in a logistic regression model. RESULTS: Compared to participants in the high SES group (n = 150), participants in the low SES group (n = 45) were significantly younger, less likely to be of Caucasian race and living with natural parents. In the logistic regression model, controlling for age and race, the low SES group had higher risk of police contact or arrest (OR = 2.41, 95% CI:1.14-5.11, p = 0.022), less treatment with stimulants(OR = 0.20 95% CI: 0.06-0.67, p = 0.009), and more post-traumatic stress disorder (PTSD) (OR = 4.08, 95% CI:1.33-12.46, p = 0.014) compared to the high SES group. In sensitivity analyses that further controlled for intact family, the finding of higher rates of police contact or arrest was no longer significant. LIMITATIONS: Cross-sectional design; higher-skewed SES sample. CONCLUSIONS: Lower SES in adolescent BD is associated with higher legal risk, increased PTSD, and under-treatment of attention-deficit/hyperactivity disorder (ADHD). Future studies are needed to evaluate the inter-relationships of these correlates, using prospective designs that can evaluate the direction of these associations. Further studies incorporating neurobiological markers are also needed to explore mechanisms underlying SES-related differences in BD.
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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) | 0.001 | 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".