Anxiety symptoms and functioning in a community sample of individuals with type 2 diabetes: A longitudinal study
Bibliographic record
Abstract
BACKGROUND: Type 2 diabetes (T2D) is associated with limitations in day-to-day functioning and with symptoms of anxiety. Although cross-sectional associations between anxiety and functioning in individuals with T2D have been reported, the temporal dynamics of these associations are unclear. The present study examined the longitudinal cross-lagged associations between anxiety symptoms and functioning in a community sample of individuals with T2D. METHODS: Data were from the Evaluation of Diabetes Treatment Study, a community-based observational study of 1691 adults with T2D. Anxiety symptoms and functioning were assessed with the Generalized Anxiety Disorder Scale-7 and the World Health Organization Disability Assessment Schedule 2.0, respectively, at baseline and every following year for 3 years. A cross-lagged path analysis accounting for autoregressive effects, sociodemographic factors, and health-related covariates was conducted using structural equation modeling. RESULTS: The model demonstrated good fit with the data (comparative fit index >0.99, χ62 = 11.44, P = 0.08, root mean square error of approximation = 0.02). Path coefficients indicated that elevated anxiety was associated with subsequent poor functioning (β-values ranging from 0.05 to 0.16; P-values <0.04) and that poor functioning was associated with subsequent elevated anxiety (β-values ranging from 0.13 to 0.19; P-values <0.001). The addition of depressive symptoms as a covariate did not affect model fit, although not all cross-lagged path coefficients remained statistically significant; paths were strongest and most consistent between poor functioning and subsequent elevated anxiety. CONCLUSIONS: Anxiety symptoms and functioning seem to be reciprocally related among individuals with T2D, independent of depressive symptoms.
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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 | 0.002 | 0.001 |
| 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".