EXAMINING THE RELATIONSHIP BETWEEN SOCIODEMOGRAPHIC FACTORS AND MENTAL HEALTH IN CHILDHOOD-ONSET SYSTEMIC LUPUS ERYTHEMATOSUS
Bibliographic record
Abstract
O068 / #494 Topic:AS18 - Pediatric SLE ABSTRACT CONCURRENT SESSION 12: PEDIATRIC SLE – ADVANCES IN DISEASE OUTCOMES AND MENTAL HEALTH 24-05-2025 10:40 AM - 11:40 AM Background/Purpose Childhood-onset systemic lupus erythematosus (cSLE) is a chronic autoimmune disease with significant adverse impact on mental health. Furthermore, patients with cSLE often face health disparities due to marginalization involving individual-level race and ethnicity, household-level and neighborhood-level socioeconomic factors. We aimed to understand the impact of these multilevel sociodemographic factors for marginalization on mental health in youth with cSLE. Methods We conducted a retrospective cross-sectional cohort study of publicly insured cSLE patients (9-18 years) recruited from an outpatient lupus clinic in Ontario, Canada from October 2017-December 2023. All patients met ACR or SLICC criteria for SLE classification. The exposure of marginalization included measures for individual race and ethnicity, household low-income status, and neighborhood-level Ontario Marginalization Index (material resources, racialized and newcomer population dimensions). Mental health outcomes included the presence of clinically elevated anxiety symptoms, measured by the Screen for Childhood Anxiety Related Disorders (SCARED), and depression symptoms, measured by the Center for Epidemiologic Studies Depression Scale for Children (CES-DC) or Children’s Depression Inventory/Beck Depression Inventory (CDI/BDI). Logistic regression models examined associations between the marginalization exposure variables and the mental health outcomes, adjusting for age, sex, disease duration and activity. Results 100 cSLE patients were included. Marginalization characteristics are shown in Figure 1. 27% of the cohort lived in low-income households, and 52% lived in areas with the highest density of racialized and newcomer populations. Symptoms for anxiety were present in 43% and depression in 40%. Patients living in the most marginalized quintile of neighborhood material resources had higher odds of depressive symptoms compared to those in more material resourced neighborhoods (OR=4.2, 95% CI 1.2-13.9, p=0.02, Table 2). No other significant associations were observed for depressive symptoms, and no associations were found for anxiety symptoms. Figure 1: Shown are marginalization characteristics and mental health outcomes for the cSLE cohort (n=100). The “Other” race and ethnic category included individuals identifying as Indigenous, Middle Eastern, Southeast Asian, Latin American or multiethnicity. Table 2: Multivariable Logistic Regression Model for Association between Marginalization, Depression, and Anxiety Symptoms Conclusions In a publicly insured Canadian cohort of youth with cSLE, we found that those living in neighborhoods with the lowest material resources were at highest risk for depression symptoms. Further research into other social determinants of health is essential to improve mental health support for youth with cSLE from diverse socioeconomic backgrounds.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".