Influence of somatic symptoms on patient health questionnaire‐9 depression scores among patients with systemic sclerosis compared to a healthy general population sample
Bibliographic record
Abstract
OBJECTIVE: Depression symptom measures that include somatic symptoms may inflate severity estimates among medically ill patients, including patients with systemic sclerosis (SSc; scleroderma). The 9-item Patient Health Questionnaire (PHQ-9) is increasingly used to assess depressive symptoms in medical settings, but it is not known whether PHQ-9 scores are influenced by somatic symptoms common in medical illness. The objective was to assess whether SSc patients had higher somatic symptom scores on the PHQ-9 than non-medically ill respondents from the general population matched on cognitive/affective scores. METHODS: SSc patients from the Canadian Scleroderma Research Group Registry were matched with respondents from a random population survey of Alberta, Canada residents who were without chronic disease on total PHQ-9 cognitive/affective scores (5 items), sex, and, as close as possible, age. PHQ-9 somatic scores (4 items) were compared between SSc patients and healthy Alberta survey respondents using t-tests for unadjusted analyses and analysis of covariance to adjust for age differences that remained after matching. RESULTS: Somatic symptoms accounted for 64% of the total PHQ-9 scores for 762 matched SSc patients (n = 837 total) compared to 56% for 762 matched Alberta population survey respondents (n = 3,304 total), a mean difference of 1.0 point, or 19% of the total scores for the SSc patients (Hedges's g = 0.38). After adjusting for age, the mean difference increased to 1.4 points, reflecting 25% of the SSc patients' total scores (Hedges's g = 0.55). CONCLUSION: PHQ-9 scores among patients with SSc may include a small to moderate amount of variance from somatic symptoms that are not necessarily related to depression.
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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 | 0.001 |
| 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".