ArticleMetabolism open2025
Association of sleep quality and glycemic variability among South Indian rural patients with Type-2 diabetes mellitus.
Article in Metabolism open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
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Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Sleep quality plays a vital role in glucose homeostasis and may influence glycemic variability among diabetic individuals. The main objective of this study is to investigate the relationship between subjective sleep quality and glycemic variability in patients with Type-2 diabetes mellitus (T2DM). Methods: Sixty-two adults with type 2 diabetes mellitus underwent Continuous Glucose Monitoring (CGM) and sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Patients with at least three days of valid CGM data were included in the analyses. Glycemic variability was quantified using coefficient of variation (%CV). Spearman's correlation and multiple linear regression modelling were used to examine the association between glycemic variability (%CV) and sleep quality. Results: Sleep-efficiency showed a significant positive correlation with %CV (r = 0.28, p = 0.03), whereas greater sleep disturbances were associated with lower TBR (r = -0.27, p = 0.04). A %CV threshold of 32.3 was identified as a cutoff for distinguishing stable and unstable glycemic patterns; however, this threshold is exploratory and requires further validation. In multiple linear regression analyses reduced sleep efficiency (β = 7.77, p = 0.002) was significantly associated with higher glycemic variability, while sleep medication use (β = -2.12, p = 0.01) also showed significant association after adjustment for HbA1c, microvascular and macrovascular complications. Conclusion: Poor sleep quality, particularly sleep efficiency exhibited a significant relationship with glycemic variability. Improving sleep quality may represent a practical and modifiable strategy to improve glycemic stability in this population.
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Registered trials
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