Psychosocial Interventions for Emergent Adults With Type 1 Diabetes: Near-Empty Systematic Review and Exploratory Meta-Analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Risk for developing mental health concerns is increased for people with diabetes. Coupled with stressors related to the transition from adolescence to adulthood, emergent adults may be in greater need of psychosocial interventions to help them cope. This review summarizes the literature on interventions used with people with diabetes aged 15–30 years on psychosocial and biological (A1C) outcomes. Core databases were searched for both published and grey research. Studies completed between January 1985 and October 2018 using any psychosocial intervention and meeting age and diabetes type requirements were selected if they included a control or comparison group and findings reported in such a way that effect size was calculable. Two authors independently extracted relevant data using standard data extraction templates. Six studies with 450 participants met the broad inclusion criteria. Sample-weighted pooling of 12 outcomes, six each on glycemic control and psychosocial status, suggested the preventive potential (d = 0.31, 95% CI 0.17–0.45) and homogeneity (χ2 [11] = 11.15, P = 0.43) of studied interventions. This preliminary meta-analysis provides some suggestion that psychosocial interventions, including telephone-based case management, individualized treatment modules, and small-group counseling interventions, may diminish burden, depression, and anxiety and enhance glycemic control among emerging adults with type 1 diabetes as they transition from adolescence to adulthood.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it