Disability and Poor Quality of Life Associated With Comorbid Anxiety Disorders and Physical Conditions
Bibliographic record
Abstract
BACKGROUND: Evidence has been emerging that anxiety disorders are associated with several physical health conditions. We used the first community survey, which assessed physical conditions based on physician assessment and included standardized diagnostic assessment of mental disorders by trained health professionals, to examine the relationship between anxiety disorders and physical conditions. METHODS: The German Health Survey (N = 4181; response rate, 87.6%; ages 18-65 years) used the Composite International Diagnostic Interview to assess Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition mood, substance use, and anxiety disorders (panic disorder, social phobia, specific phobia, generalized anxiety disorder, agoraphobia, obsessive-compulsive disorder) and a standardized medical interview supplemented by laboratory data to assess a broad range of physical conditions. The Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) was used to measure health-related quality of life. Number of days of role impairment was used to measure past 30-day disability. RESULTS: After adjusting for sociodemographic factors and other common mental disorders, the presence of an anxiety disorder was significantly associated with thyroid disease, respiratory disease, gastrointestinal disease, arthritis, migraine headaches, and allergic conditions (adjusted odds ratios between 1.39 and 2.12; P<.05). Compared with physical disorders alone, the presence of comorbid anxiety disorder with 1 or more physical disorders was associated with poorer physical component scores on the SF-36 (adjusted mean scores for physical condition alone and physical condition with anxiety disorder, 48.50 and 45.86, respectively; P<.001) and past 30-day disability due to physical problems (adjusted odds ratio, 1.69; 95% confidence interval, 1.20-2.37). CONCLUSION: Anxiety disorders are independently associated with several physical conditions in the community, and this comorbidity is significantly associated with poor quality of life and disability.
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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 | 0.005 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".