Emotional, Psychological, and Social Well-being Experience of Long-Term Living with Type 1 Diabetes Mellitus: A Patient–Psychiatrist–Endocrinologist Perspective
Bibliographic record
Abstract
Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease that impacts blood glucose levels and can also lead to an increased prevalence of psychiatric conditions. Living with T1DM has been associated with a significant impact on a person's social, mental, and psychological quality of life (QoL). Stressors related to T1DM include the demands of managing the condition, acceptance of the diagnosis, and recognition of the sizeable personal responsibility involved in managing the condition. Participating in treatment designed to improve QoL can still take a psychological toll on individuals with T1DM and can lead to a wide range of psychological distress, including anxiety, fear, depression, stress, anger, frustration, and denial (among many others). Ongoing research seeks to investigate the range of psychiatric conditions that are common among people with T1DM. Bringing patient perspectives into research to design and implement workable solutions is the future of a novel holistic approach to managing T1DM-related mental health impact. Connecting with other people living with T1DM, clinicians, counselors/therapists, mental health professionals, and social workers might alleviate some of the challenges of managing the emotional issues and psychological distress associated with T1DM. Here, we provide the perspective of someone with over 33 years of living with T1DM, its impact on his mental health, QoL, the steps undertaken, and the path to successful management. This perspective is complemented by opinions from two expert clinicians-an endocrinologist and a psychiatrist. Sharing the real-life subjective burden experienced by the person living with diabetes could be one step towards increasing awareness of the toll of mental health disorders on people living with T1DM. This patient experience, complemented by expert endocrinologist and psychiatrist opinions, could pave the way for an effective two-way dialogue to manage the condition effectively.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".