Prevalence and associated factors of comorbid anxiety disorders in late-life depression: findings from geriatric tertiary outpatient settings
Bibliographic record
Abstract
Purpose: The study evaluated the prevalence of comorbid anxiety disorders in late-life depression (LLD) and identified their associated factors. Patients and methods: This study involved 190 elderly Thais with depressive disorders diagnosed according to the Mini-International Neuropsychiatric Interview (MINI). Anxiety disorders were also diagnosed by the MINI. The 7-item Hamilton Depression Rating Scale (HAMD-7), Montreal Cognitive Assessment, Geriatric Depression Scale (GDS), Core Symptoms Index, Neuroticism Inventory, Perceived Stress Scale and Multidimensional Scale for Perceived Social Support were completed. Descriptive statistics and ORs were used for analysis. Results: Participants included 139 females (73.2%) with a mean age of 68.39±6.74 years. The prevalence of anxiety disorders was 7.4% for generalized anxiety disorder (GAD), 4.7% for panic disorder, 5.3% for agoraphobia, 1.1% for social phobia, 2.1% for obsessive–compulsive disorder and 3.7% for post-traumatic stress disorder, with an overall prevalence of 16.84%. The comorbidity of anxiety disorders was associated with gender ( P =0.045), history of depressive disorder ( P =0.040), family history of depressive disorder ( P =0.004), GDS ( P =0.037), HAMD-7 ( P =0.001), suicidality ( P =0.002) and neuroticism ( P =0.003). History of alcohol use was not associated. Conclusion: The prevalence of anxiety in LLD was comparable to other studies, with GAD and agoraphobia being the most prevalent. This study confirmed the role of depression severity and neuroticism in developing comorbid anxiety disorders. Keywords: generalized anxiety disorder, depressive disorder, elderly, risk factors
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".