Longitudinal Relationships Between Depression and Functioning in People with Type 2 Diabetes
Bibliographic record
Abstract
BACKGROUND: The reciprocal relationship between depression and functioning in people with chronic conditions is poorly understood. PURPOSE: The aim of the present study was to analyze the dynamic relationship between depression and functioning in a community sample of people with diabetes. METHODS: Participants with diabetes were assessed at baseline and three yearly follow-up assessments (n = 1,403). Depression was assessed using the Patient Health Questionnaire. Global functioning was assessed using the World Health Organization Disability Assessment Schedule II. RESULTS: Path analysis suggested a reciprocal relationship between depression and functioning. Baseline depression was associated with functioning at 3 years follow-up through depression and functioning at 1 and 2 years follow-up assessments. CONCLUSIONS: Depression and functioning might interact with each other in a dynamic way: depression at one assessment point might predict poor functioning at the next assessment point, which in turn might predict depression at the next assessment point. This should be taken into account in both treatment and research programs.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".