Sociodemographic and psychosocial factors associated with continuous subcutaneous insulin infusion in adolescents with type 1 diabetes
Bibliographic record
Abstract
OBJECTIVE: To examine the role of sociodemographic factors and psychosocial adjustment in continuous subcutaneous insulin infusion (CSII) use among adolescents with type 1 diabetes. METHODS: A total of 150 adolescents with type 1 diabetes and their caregivers completed measures of general psychological functioning, diabetes functioning, and stressful life events. Blood glucose monitoring (BGM) frequency and glycemic control were also assessed. Logistic regression was used to determine associations between CSII use and sociodemograpic and psychosocial factors. RESULTS: All logistic regression models were significant, indicating a large proportion of the variance in CSII use was associated with sociodemographic, diabetes-specific and psychosocial variables. Final models showed higher frequency of BGM and having private insurance as significant correlates of CSII use. CSII use was also associated with adolescent and caregiver reports of sharing of responsibilities around diabetes management and negative affect regarding BGM. CONCLUSIONS: Adolescents currently prescribed CSII therapy evidenced key differences from their counterparts using multiple daily injections (MDI) in insurance status, diabetes management behavior, and family functioning related to diabetes. Efforts to understand the role of family factors in the maintenance of CSII therapy with clinical indicators of CSII use may inform treatment effectiveness.
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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 | 0.005 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".