1383-P: Longitudinal Changes in Transition Readiness (TR) in Teens with Type 1 Diabetes (T1D) Are Unrelated to Glycemic Control
Bibliographic record
Abstract
Aim: During adolescence, teens with T1D increase self-care, anticipating future independence. To assess TR skills (i.e., affective, behavioral, and cognitive preparation to transfer from pediatric to adult care), teens with T1D and parents completed the validated Readiness for Independent Self-Care Questionnaire (RIS-Q). Methods: Teens, ages 13-17, with T1D and parents completed RIS-Q every 6 months over 18 months. Teen and parent reports of teen treatment adherence and self-efficacy were assessed as predictors of TR and A1c with longitudinal mixed models. Results: At entry, teens (N=178, 52% male, 88% white) had mean±SD age 14.9±1.3 years, T1D duration 7.4±3.7 years, 4.9±2.0 BG checks/day, and A1c 8.5±1.0%; 67% were pump users. Teen and parent reported TR increased over time while teen A1c was unchanged (Figure). In multivariate models, teen age, teen reported adherence, and self-efficacy predicted TR (all p<.001). Teen TR did not predict A1c while teen reported adherence, self-efficacy, and BG checks/day predicted A1c (all p<.008). Longitudinal models using parent reports had similar results. Conclusion: Teen TR increased with age and over time but was unrelated to A1c, suggesting a disconnect between teen perceptions of self-care readiness and self-care behaviors. While TR may be important, it is insufficient, highlighting need to improve self-care behaviors and A1c in teens with T1D. Disclosure E.R. Goethals: None. L.K. Volkening: None. P.V. Commissariat: None. D.A. Butler: None. D.E. McGill: None. L.M. Laffel: Advisory Panel; Self; Lilly Diabetes, Novo Nordisk A/S, Roche Diabetes Care, Sanofi. Consultant; Self; AstraZeneca, Boehringer Ingelheim International GmbH, Dexcom, Inc., Janssen Pharmaceuticals, Inc., UpToDate. Funding National Institutes of Health (R01DK095273, P30DK036836, T32DK007260, K12DK094721); 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
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".