Quality of life in young adults with type 1 diabetes
Bibliographic record
Abstract
Introduction: Challenges of young adulthood with type 1 diabetes (T1D) include transitioning to adult care, increased T1D self-management responsibilities, and normal developmental transitions. Recognizing patterns of health-related quality of life (HRQOL) across a demographically and clinically broad range of young adults with T1D may help identify who needs additional support as they transfer to adult healthcare. We hypothesized that young adults from specific demographic and clinical groups would report lower HRQOL. Methods: =8.8 ± 2.0 %) self-reported demographics and HRQOL; A1c was analyzed via point of care or dried blood spot. ANOVAs and t-tests were used to compare HRQOL by demographic (gender, race/ethnicity, insurance, school enrollment) and clinical variables (device use, A1c). Results: Diabetes-specific HRQOL differed significantly by gender and school enrollment; females and young adults enrolled in school reported higher HRQOL. There were no significant differences in HRQOL across race/ethnicity, insurance type, and diabetes technology use. Conclusion: Monitoring HRQOL may be helpful to identify diabetes-specific psychosocial needs during the transition from pediatric to adult healthcare. Patterns suggest males and those not in school may benefit from additional support.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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".