Variations in Sleep Characteristics and Glucose Regulation in Young Adults With Type 1 Diabetes
dc.contributor.author | Griggs, Stephanie | |
dc.contributor.author | Grey, Margaret | |
dc.contributor.author | Strohl, Kingman P. | |
dc.contributor.author | Crawford, Sybil L. | |
dc.contributor.author | Margevicius, Seunghee | |
dc.contributor.author | Kashyap, Sangeeta R. | |
dc.contributor.author | Li, Chiang-Shan R. | |
dc.contributor.author | Rajagopalan, Sanjay | |
dc.contributor.author | Hickman, Ronald L. | |
dc.date | 2022-08-11T08:09:04.000 | |
dc.date.accessioned | 2022-08-23T16:17:10Z | |
dc.date.available | 2022-08-23T16:17:10Z | |
dc.date.issued | 2022-02-17 | |
dc.date.submitted | 2022-04-08 | |
dc.identifier.citation | <p>Griggs S, Grey M, Strohl KP, Crawford SL, Margevicius S, Kashyap SR, Li CR, Rajagopalan S, Hickman RL. Variations in Sleep Characteristics and Glucose Regulation in Young Adults With Type 1 Diabetes. J Clin Endocrinol Metab. 2022 Feb 17;107(3):e1085-e1095. doi: 10.1210/clinem/dgab771. PMID: 34698348; PMCID: PMC8852208. <a href="https://doi.org/10.1210/clinem/dgab771">Link to article on publisher's site</a></p> | |
dc.identifier.issn | 0021-972X (Linking) | |
dc.identifier.doi | 10.1210/clinem/dgab771 | |
dc.identifier.pmid | 34698348 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14038/34497 | |
dc.description.abstract | CONTEXT: Short sleep duration and sleep disruptions are associated with impaired glucoregulation in type 1 diabetes (T1D). However, the mechanistic pathways between sleep and glucose variability remain unclear. OBJECTIVE: To determine within- and between-person associations between objective sleep-wake characteristics and glucose variability indices. METHODS: Multilevel models were used to analyze concurrent sleep and glucose patterns over 7 days in 42 young adults with T1D in their natural home environment. Young adults with T1D (mean age 22.2 +/- 3.0 years, HbA1c 7.2%, 32.6% male) for at least 6 months with no other medical or major psychiatric comorbidity were included. Sleep-wake characteristics were measured via wrist actigraphy and glucose variability indices via a continuous glucose monitor (CGM). RESULTS: Lower sleep efficiency predicted higher glucose variability (less time in range beta = 0.011 and more time in hyperglycemia beta = -0.011) within-person. A longer wake after sleep onset and more sleep disruptions were associated with higher glucose variability between persons (beta = 0.28 and 0.31). Higher glucose variability predicted poorer sleep within-person (delayed bedtime, waketime, mid-sleep time, and lower sleep efficiency), while higher glucose variability was associated with poorer sleep and more sleep disruptions between persons (lower sleep efficiency, longer wake after sleep onset, and a higher sleep fragmentation index). CONCLUSION: Clinicians can address the reciprocal nature of the sleep-glucose relationship by optimizing sleep and targeting efforts toward a euglycemic range overnight. Sleep habits are a modifiable personal target in diabetes care. | |
dc.language.iso | en_US | |
dc.relation | <p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=34698348&dopt=Abstract">Link to Article in PubMed</a></p> | |
dc.relation.url | https://doi.org/10.1210/clinem/dgab771 | |
dc.subject | actigraphy | |
dc.subject | glucose variability | |
dc.subject | multilevel model | |
dc.subject | sleep | |
dc.subject | type 1 diabetes | |
dc.subject | young adult | |
dc.subject | Endocrine System Diseases | |
dc.subject | Endocrinology, Diabetes, and Metabolism | |
dc.subject | Nutritional and Metabolic Diseases | |
dc.subject | Sleep Medicine | |
dc.title | Variations in Sleep Characteristics and Glucose Regulation in Young Adults With Type 1 Diabetes | |
dc.type | Journal Article | |
dc.source.journaltitle | The Journal of clinical endocrinology and metabolism | |
dc.source.volume | 107 | |
dc.source.issue | 3 | |
dc.identifier.legacyfulltext | https://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1174&context=gsn_pp&unstamped=1 | |
dc.identifier.legacycoverpage | https://escholarship.umassmed.edu/gsn_pp/169 | |
dc.identifier.contextkey | 28546094 | |
refterms.dateFOA | 2022-08-23T16:17:10Z | |
html.description.abstract | <p>CONTEXT: Short sleep duration and sleep disruptions are associated with impaired glucoregulation in type 1 diabetes (T1D). However, the mechanistic pathways between sleep and glucose variability remain unclear.</p> <p>OBJECTIVE: To determine within- and between-person associations between objective sleep-wake characteristics and glucose variability indices.</p> <p>METHODS: Multilevel models were used to analyze concurrent sleep and glucose patterns over 7 days in 42 young adults with T1D in their natural home environment. Young adults with T1D (mean age 22.2 +/- 3.0 years, HbA1c 7.2%, 32.6% male) for at least 6 months with no other medical or major psychiatric comorbidity were included. Sleep-wake characteristics were measured via wrist actigraphy and glucose variability indices via a continuous glucose monitor (CGM).</p> <p>RESULTS: Lower sleep efficiency predicted higher glucose variability (less time in range beta = 0.011 and more time in hyperglycemia beta = -0.011) within-person. A longer wake after sleep onset and more sleep disruptions were associated with higher glucose variability between persons (beta = 0.28 and 0.31). Higher glucose variability predicted poorer sleep within-person (delayed bedtime, waketime, mid-sleep time, and lower sleep efficiency), while higher glucose variability was associated with poorer sleep and more sleep disruptions between persons (lower sleep efficiency, longer wake after sleep onset, and a higher sleep fragmentation index).</p> <p>CONCLUSION: Clinicians can address the reciprocal nature of the sleep-glucose relationship by optimizing sleep and targeting efforts toward a euglycemic range overnight. Sleep habits are a modifiable personal target in diabetes care.</p> | |
dc.identifier.submissionpath | gsn_pp/169 | |
dc.contributor.department | Tan Chingfen Graduate School of Nursing | |
dc.source.pages | e1085-e1095 |