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dc.contributor.authorGriggs, Stephanie
dc.contributor.authorGrey, Margaret
dc.contributor.authorStrohl, Kingman P.
dc.contributor.authorCrawford, Sybil L.
dc.contributor.authorMargevicius, Seunghee
dc.contributor.authorKashyap, Sangeeta R.
dc.contributor.authorLi, Chiang-Shan R.
dc.contributor.authorRajagopalan, Sanjay
dc.contributor.authorHickman, Ronald L.
dc.date2022-08-11T08:09:04.000
dc.date.accessioned2022-08-23T16:17:10Z
dc.date.available2022-08-23T16:17:10Z
dc.date.issued2022-02-17
dc.date.submitted2022-04-08
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.issn0021-972X (Linking)
dc.identifier.doi10.1210/clinem/dgab771
dc.identifier.pmid34698348
dc.identifier.urihttp://hdl.handle.net/20.500.14038/34497
dc.description.abstractCONTEXT: 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.isoen_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.urlhttps://doi.org/10.1210/clinem/dgab771
dc.subjectactigraphy
dc.subjectglucose variability
dc.subjectmultilevel model
dc.subjectsleep
dc.subjecttype 1 diabetes
dc.subjectyoung adult
dc.subjectEndocrine System Diseases
dc.subjectEndocrinology, Diabetes, and Metabolism
dc.subjectNutritional and Metabolic Diseases
dc.subjectSleep Medicine
dc.titleVariations in Sleep Characteristics and Glucose Regulation in Young Adults With Type 1 Diabetes
dc.typeJournal Article
dc.source.journaltitleThe Journal of clinical endocrinology and metabolism
dc.source.volume107
dc.source.issue3
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1174&amp;context=gsn_pp&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/gsn_pp/169
dc.identifier.contextkey28546094
refterms.dateFOA2022-08-23T16:17:10Z
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.submissionpathgsn_pp/169
dc.contributor.departmentTan Chingfen Graduate School of Nursing
dc.source.pagese1085-e1095


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