Multimorbidity of overweight and obesity alongside anxiety and depressive disorders in individuals with spinal cord injury
Bibliographic record
Abstract
OBJECTIVE: To compare the prevalence of anxiety/depression and overweight/obesity (Aim 1) and the multimorbidity of these conditions (Aim 2) in a sample of adults with and without spinal cord injury (SCI). Aim 3 was to examine whether overweight/obese individuals with SCI differ on the prevalence of anxiety/depressive disorders compared to non-overweight/obese individuals with SCI. DESIGN: Retrospective cohort study. PARTICIPANTS: Individuals ≥16 years old who had patient encounters between January 1, 2011, and February 28, 2018. In total, 761 598 individuals were included, of which 3136 had SCI. MAIN OUTCOME MEASURES: Individuals were identified as diagnosed with SCI, anxiety and/or depressive disorders, and overweight/obesity using the International Classification of Diseases. RESULTS: Age-adjusted odds ratios (ORs) were calculated using logistic regression. In contrast to non-SCI individuals, those with SCI had increased odds of anxiety disorders (OR: 3.58, 95% CI [3.29-3.90]), depressive disorders (OR: 4.33, 95% CI [3.95-4.74]), and overweight/obesity (OR: 3.08, 95% CI [2.80-3.38]). Pertaining to multimorbidity, individuals with SCI had increased odds of having overweight/obesity alongside anxiety disorders (OR: 4.30, 95% CI [3.71-4.98]) and overweight/obesity alongside depressive disorders (OR: 4.69, 95% CI [4.01-5.47]) compared to those without SCI. Individuals with SCI who were diagnosed as overweight/obese had increased odds of having anxiety disorders (OR: 2.54, 95% CI [2.06-3.13]), and depressive disorders (OR: 2.70, 95% CI [2.18-3.36]), relative to non-overweight/obese individuals with SCI. CONCLUSIONS: This work is among the first to find evidence that individuals with SCI are at heightened odds of overweight/obesity alongside anxiety and/or depressive disorders. This early work holds clinical implications for treating these interrelated comorbidities in SCI.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".