Effect of fear of hypoglycaemia on sleep quality of patients with type 2 mellitus diabetes: The mediating role of alexithymia
Bibliographic record
Abstract
Background: Patients with type 2 diabetes mellitus (T2DM) commonly experience poor sleep quality. This study aimed to investigate whether alexithymia mediates the association between fear of hypoglycaemia (FoH) and sleep quality in patients with T2DM. Methods: From September 2021 to November 2021, a cross-sectional survey was conducted on 407 patients with T2DM in China. Data collection was made possible through the administration of the Chinese Version of the Worry Scale, Toronto Alexithymia Scale and Chinese version of the Pittsburgh Sleep Quality Index (CPSQI). Multiple linear regression analyses were also performed. Results: A total of 65.6% of the participants were male, and 75.7% were aged 18-40 years. FoH showed a moderate and positive correlation with CPSQI scores (r = 0.308, p < 0.001). Alexithymia was weakly and positively correlated with CPSQI scores (r = 0.185, p < 0.001). Meanwhile, FoH exhibited a moderate and positive correlation with alexithymia (r = 0.422, p < 0.001), and difficulty in identifying (r = 0.414, p < 0.001) and describing feelings (r = 0.416, p < 0.001) and a weak and positive correlation with externally oriented thinking (r = 0.221, p < 0.001). The total effect (β = 0.408, p < 0.001) of FoH on CPSQI comprised not only the direct (β = 0.293, 95% confidence interval: 0.174-0.411, p < 0.001) but also the indirect effect (β = 0.115, p < 0.001) of alexithymia. Conclusions: Alexithymia can mediate the association between FoH and sleep quality. Clinicians should recognize the potential effect of alexithymia and incorporate it in intervention planning and care. Addressing the affective disturbances arising from FoH can enhance emotional expression and sleep quality among T2DM patients.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".