The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Sleep Regularity and Cardiometabolic Heath: Is Variability in Sleep Patterns a Risk Factor for Excess Adiposity and Glycemic Dysregulation?
Open accessAbstract
Purpose of review Night-to-night variability in sleep patterns leads to circadian disruption and, consequently, could increase cardiometabolic risk. The purpose of this review is to summarize findings from studies published between 2015 and 2020 examining various measures of night-to-night variability in sleep in relation to metabolic syndrome (MetS), type 2 diabetes (T2D), and their risk factors. We illustrate a potential causal pathway between irregular sleep patterns and T2D, highlighting knowledge gaps along the way.Recent findings Across different measures of sleep variability, irregular sleep patterns were associated with poorer cardiometabolic outcomes. Higher standard deviations (SD) across nights of sleep duration and onset or midpoint of sleep were associated with increased odds of having MetS and clusters of metabolic abnormalities as well as greater adiposity and poorer glycemic control. Conversely, greater regularity of rest-activity patterns related to lower risk for T2D. Social jetlag was associated with glycemic dysregulation, adiposity, T2D, and MetS. These associations are often observed in both metabolically healthy and unhealthy individuals; both higher SD of sleep duration and social jetlag relate to poorer glucose regulation in individuals with diabetes. There is consistent evidence of associations of sleep variability with increased risk for adiposity, glucose dysregulation, T2D, and MetS. Although experimental evidence is needed to determine causation, there is support to recommend stabilizing sleep patterns for cardiometabolic risk prevention.
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“Sleep disorders are common in type 2 diabetes”
From Management of Hyperglycemia in Type 2 Diabetes, 2022. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) (2022) · cites this paper as [114]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“and cause disturbances in the quantity, quality, and timing of sleep”
From Management of Hyperglycemia in Type 2 Diabetes, 2022. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) (2022) · cites this paper as [114]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“and are associated with an increased risk of obesity and impairments in daytime functioning and glucose metabolism (114,115).”
From Management of Hyperglycemia in Type 2 Diabetes, 2022. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) (2022) · cites this paper as [114]
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Citations
Cites
Obesity and insulin resistance
Kahn, B. B., & Flier, J. S. (2000) · Journal of Clinical Investigation · doi:10.1172/jci10842 · Cited by 3,345
Atkinson, M. A., Eisenbarth, G. S., & Michels, A. W. (2014) · The Lancet · doi:10.1016/s0140-6736(13)60591-7 · Cited by 2,931
Social Jetlag: Misalignment of Biological and Social Time
Wittmann, M., Dinich, J., Merrow, M., & Roenneberg, T. (2006) · Chronobiology International · doi:10.1080/07420520500545979 · Cited by 2,625
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Health consequences of shift work and insufficient sleep
Kecklund, G., & Axelsson, J. (2016) · BMJ · doi:10.1136/bmj.i5210 · Cited by 1,195
Insomnia and Risk of Cardiovascular Disease
Javaheri, S., & Redline, S. S. (2017) · CHEST Journal · doi:10.1016/j.chest.2017.01.026 · Cited by 757
Self-citationPhillips, A. J. K., Clerx, W. M., O’Brien, C. S., Sano, A., Barger, L. K., Picard, R. W., Lockley, S. W., Klerman, E. B., & Czeisler, C. A. (2017) · Scientific Reports · doi:10.1038/s41598-017-03171-4 · Cited by 647 · cited 1×
“in 2017 [10], this metric is defined as the percentage probability of a person being asleep (or awake) at any two time points 24-h apart.”
BackgroundMelatonin, energy metabolism, and obesity: a review
Cipolla‐Neto, J., do Amaral, F. G., Afeche, S. C., Tan, D. X., & Reiter, R. J. (2014) · Journal of Pineal Research · doi:10.1111/jpi.12137 · Cited by 611
Morris, C. J., Yang, J. N., Garcia, J. I., Myers, S., Bozzi, I., Wang, W., Buxton, O. M., Shea, S. A., & Scheer, F. A. J. L. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418955112 · Cited by 523
Social jetlag, chronotype, and cardiometabolic risk
Wong, P. M., Hasler, B. P., Kamarck, T. W., Muldoon, M. F., & Manuck, S. B. (2015) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-2923 · Cited by 444 · cited 2×
“Studies have linked social jetlag to adverse cardiometabolic outcomes [25, 26].”
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Cited by
Sorted by citations
Davies, M. J., Aroda, V. R., Collins, B. S., Gabbay, R. A., Green, J., Maruthur, N. M., Rosas, S. E., Del Prato, S., Mathieu, C., Mingrone, G., et al. (2022) · Diabetes Care · doi:10.2337/dci22-0034 · Cited by 2,104
Davies, M. J., Aroda, V. R., Collins, B. S., Gabbay, R. A., Green, J., Maruthur, N. M., Rosas, S. E., Del Prato, S., Mathieu, C., Mingrone, G., et al. (2022) · Diabetologia · doi:10.1007/s00125-022-05787-2 · Cited by 1,048
Windred, D. P., Burns, A. C., Lane, J. M., Saxena, R., Rutter, M. K., Cain, S. W., & Phillips, A. J. K. (2023) · SLEEP · doi:10.1093/sleep/zsad253 · Cited by 291
Measuring sleep regularity: theoretical properties and practical usage of existing metrics
Fischer, D. R., Klerman, E. B., & Phillips, A. J. K. (2021) · SLEEP · doi:10.1093/sleep/zsab103 · Cited by 224
Zheng, N. S., Annis, J. S., Master, H., Han, L., Gleichauf, K., Ching, J., Nasser, M., Coleman, P. L., Desine, S., Ruderfer, D. M., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-03155-8 · Cited by 212
Metadata
- Authors
- Zuraikat, F. M., Makarem, N., Redline, S., Aggarwal, B., Jelic, S., & St-Onge, M.-P.
- Affiliations
- Columbia University Irving Medical Center (US)
- Brigham and Women's Hospital (US)
- Venue
- Current Diabetes Reports
- Published
- 2020-07-23
- Volume
- 20
- Issue
- 8
- Pages
- 38-38
- ISSN
- 1534-4827 (ISSN-L)
- 1539-0829
- PMC
- PMC7584347
- OpenAlex
- W3045418496
- Cited by
- 125
- References
- 47
- Citations by year
- 2026: 12 · 2025: 22 · 2024: 23 · 2023: 31 · 2022: 21 · 2021: 15 · 2020: 1
- FWCI
- 2.29
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Current Diabetes Reports (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Heart, Lung, and Blood Institute (R00HL148511, R35HL135818, R01HL128226, K99HL148511, R01HL137234, R56HL106041, R01HL142648, R01HL106041, T32HL007343)
- Topics
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Keywords
- sleep regularity, circadian rhythm disruption, cardiometabolic risk, metabolic syndrome, type 2 diabetes, adiposity, glycemic dysregulation, social jetlag, rest-activity rhythm, sleep duration variability
- MeSH terms
- Cardiovascular Diseases, Circadian Rhythm, Diabetes Mellitus, Type 2, Humans, Risk Factors, Sleep, Adiposity
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