1161-P: Patterns of Diabetes Distress (DD) and Glycemic Outcomes in Teens with Type 1 Diabetes (T1D)
Bibliographic record
Abstract
Background: DD distracts from T1D self-management, contributing to suboptimal glycemia. Yet, DD can change day-to-day and over time. We compared A1c trends in teens with increasing vs. decreasing DD over time. Methods: At baseline, 6, 12, and 18 months, participants (N=301) ages 13-17 years completed the Problem Areas in Diabetes Survey—Pediatric scale; higher scores indicate more DD with ≥41 indicating elevated DD. We identified three trajectories: participants with low baseline DD, who then reported persistent high DD; participants with high baseline DD, who then had persistent low DD levels; all others. Mean A1c levels were compared at baseline and 18 months. Results: At baseline, participants (49% male, 78% white) were 15.0±1.3 years old with T1D duration 6.5±3.7 years; 59% used insulin pumps; 12% used CGM; A1c was 8.5±1.1%. Twenty-six participants (9%) had elevated DD at baseline and then low DD at subsequent time points; A1c did not change significantly from 0 to 18 months for these participants (p=.33). Thirty-five participants (12%) had low DD at baseline and then elevated DD at subsequent time points; A1c increased significantly from 0 to 18 months for these participants (p=.01). The remaining participants (n=240) had varying levels of DD with no significant change in A1C (p=.05). Conclusion: Adolescents who initially had low DD and reported increasing DD over time may be at risk for worsening glycemic outcomes. Disclosure K.Wentzell: None. L.J.Tinsley: None. L.K.Volkening: None. D.E.Mcgill: Employee; Vertex Pharmaceuticals Incorporated. B.J.Anderson-thomas: None. L.M.Laffel: Advisory Panel; Medtronic, Lilly Diabetes, Novo Nordisk, Vertex Pharmaceuticals Incorporated, Roche Diagnostics, Provention Bio, Inc., Consultant; Dexcom, Inc., Janssen Pharmaceuticals, Inc., Medscape. Funding National Institutes of Health (T32DK007260); National Institute of Diabetes and Digestive and Kidney Diseases (R01DK095273); JDRF (2-SRA-2014-253-M-B)
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".