Correlates of psychological outcomes in people with diabetes: results from the second Diabetes Attitudes, Wishes and Needs (<scp>DAWN</scp>2<sup>™</sup>) study
Bibliographic record
Abstract
AIMS: To assess country- and individual-level correlates of psychological outcomes, and differences among countries in the associations of individual characteristics with psychological outcomes among adults with diabetes. METHODS: The second Diabetes Attitudes, Wishes and Needs (DAWN2(™) ) study assessed self-reported characteristics of people with diabetes in 17 countries, including 1368 adults with Type 1 diabetes and 7228 with Type 2 diabetes. In each country, a sample of 500 adults, stratified by diabetes type and treatment, completed a questionnaire incorporating the validated WHO-5 wellbeing index, the WHOQOL-BREF, and the five-item Problem Areas in Diabetes Scale, as well as the newly developed Diabetes Impact on Life Dimensions that assessed impact ranging from very positive to very negative, with no impact as the midpoint. Multilevel regression analyses identified significant (P < 0.05) independent correlates of psychological outcomes. RESULTS: There were significant variations in all outcomes across countries before adjustment for individual-level factors; adjustment reduced between-country disparities. Worse psychological outcomes were associated with more complications, incidence of hypoglycaemia, hypoglycaemic medication, perceived burden of diabetes, family conflict and experience of discrimination. Better psychological outcomes were associated with higher self-rated health, greater access to diabetes education and healthcare, and more psychosocial support from others. The associations of many factors with the outcomes were mediated by modifiable factors. The association of all factors with the outcomes varied across (interacted with) countries, highlighting the need for country-specific analyses. CONCLUSIONS: Improvements in modifiable risk factors (reductions in burden and increases in support) may lead to better psychological outcomes in adults with diabetes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".