ArticleBrain, behavior, & immunity - health2025
Evaluating sleep's role in type 2 diabetes mellitus: Evidence from NHANES.
Article in Brain, behavior, & immunity - health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Gene-by-Sleep Duration Interaction for Glycemic Traits in over 480,000 Individuals.medRxiv : the preprint server for health sciences · 2026Article
- Article
- Obesity indicators mediate the association between the aggregate index of systemic inflammation (AISI) and type 2 diabetes mellitus (T2DM).Lipids in health and disease · 2025Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Evidence is limited regarding the relationship between sleep factors (self-reported sleep disorder diagnosis, subjective sleep difficulties, and sleep duration), sleep patterns, and risk of type 2 diabetes mellitus (T2D). Thus, this study aims to investigate the relationship between sleep factors, sleep patterns, and the risk of T2D using data from the National Health and Nutrition Examination Survey (NHANES). Methods: A total of 14,652 individuals aged ≥18 years from the NHANES (2005-2014) were enrolled with complete data on sleep factors, T2D, and covariates. Information on self-reported sleep disorder diagnosis, subjective sleep difficulties, and sleep duration was collected during in-home visits by trained interviewers using the Computer-Assisted Personal Interviewing system. The sleep pattern was derived from scoring three mentioned factors: no self-reported sleep disorder diagnosis, no subjective sleep difficulties, and sleep duration of 7-9 h were classified as low-risk (score 0), while the presence of self-reported sleep disorder diagnosis, subjective sleep difficulties, or sleep duration <7 or >9 h were classified as high-risk (score 1). Cumulative scores range from 0 to 3, with 0 indicating a healthy sleep pattern, 1 an intermediate sleep pattern, and 2-3 a poor sleep pattern, respectively. Weighted logistic regression was conducted to assess the association of sleep factors and sleep patterns with the risk of T2D. Results: Self-reported sleep disorder diagnosis (odds ratio (OR) = 1.32, Conclusion: Our findings indicate that poorer sleep patterns are associated with an increased risk of T2D. These results emphasize the importance of sleep management in T2D prevention. Further prospective studies are needed to investigate the causal or bidirectional relationship between sleep and T2D risk, as well as the underlying molecular mechanisms.
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