The needs, concerns, and characteristics of younger Australian adults with Type 2 diabetes
Bibliographic record
Abstract
AIMS: The mean age of onset of Type 2 diabetes mellitus is decreasing in Australia and internationally. We conducted an internet-based survey to improve our understanding of the emotional well-being and unmet needs of younger adults with Type 2 diabetes, and to inform service provision for this group. METHODS: A random sample of National Diabetes Services Scheme registrants (n = 1,417) with Type 2 diabetes, aged 18-39 years, living in the Australian state of Victoria received an invitation to complete the online survey. The study was also advertised state-wide. The survey included validated scales (PAID-5: diabetes-related distress; WHO-5: general emotional well-being) and study-specific items. A total of 149 eligible respondents participated. RESULTS: Almost two-thirds (63%) of respondents reported severe-diabetes related distress; more than a quarter (27%) had impaired general emotional well-being. Most (82%) were overweight or obese (BMI ≥ 25); most (77%) had at least one other co-morbidity. Lack of motivation, feeling burned out, and being time-poor were identified as top barriers to self-management. More than half (59%) of respondents had not participated in structured diabetes education. Respondents perceived that younger adults with Type 2 diabetes had different health-care needs than their older counterparts (68%), and that most Type 2 diabetes information/services were aimed at older adults (62%). Of a range of potential new services, respondents indicated greatest interest in an online forum specifically for younger adults with Type 2 diabetes. CONCLUSIONS: Younger adults with Type 2 diabetes have impaired emotional well-being and physical health. Population-based research is needed to confirm the current findings, to further inform service delivery and optimise outcomes for this group.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".