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dc.contributor.authorTsereteli, N.
dc.contributor.authorVallat, R.
dc.contributor.authorFernández Tajes, Juan
dc.contributor.authorDelahanty, L.M.
dc.contributor.authorOrdovas, J.M.
dc.contributor.authorDrew, D.A.
dc.contributor.authorValdes, A.M.
dc.contributor.authorSegata, N.
dc.contributor.authorChan, A.T.
dc.contributor.authorWolf, J.
dc.contributor.authorBerry, S.E.
dc.contributor.authorWalker, M.P.
dc.contributor.authorSpector, T.D.
dc.contributor.authorFranks, P.W.
dc.date.accessioned2025-08-26T11:20:39Z
dc.date.available2025-08-26T11:20:39Z
dc.date.issued2022
dc.identifier.citationTsereteli N, Vallat R, Fernandez-Tajes J, Delahanty LM, Ordovas JM, Drew DA, et al. Impact of insufficient sleep on dysregulated blood glucose control under standardised meal conditions. Diabetologia. 2022;65(2):356-65.
dc.identifier.issn1432-0428
dc.identifier.otherhttps://portalcientifico.sergas.gal/documentos/635da1d1f50cf01a7960f487*
dc.identifier.urihttp://hdl.handle.net/20.500.11940/20896
dc.description.abstractAims/hypothesis: Sleep, diet and exercise are fundamental to metabolic homeostasis. In this secondary analysis of a repeated measures, nutritional intervention study, we tested whether an individual's sleep quality, duration and timing impact glycaemic response to a breakfast meal the following morning. Methods: Healthy adults' data (N = 953 [41% twins]) were analysed from the PREDICT dietary intervention trial. Participants consumed isoenergetic standardised meals over 2 weeks in the clinic and at home. Actigraphy was used to assess sleep variables (duration, efficiency, timing) and continuous glucose monitors were used to measure glycaemic variation (>8000 meals). Results: Sleep variables were significantly associated with postprandial glycaemic control (2 h incremental AUC), at both between- and within-person levels. Sleep period time interacted with meal type, with a smaller effect of poor sleep on postprandial blood glucose levels when high-carbohydrate (low fat/protein) (pinteraction = 0.02) and high-fat (pinteraction = 0.03) breakfasts were consumed compared with a reference 75 g OGTT. Within-person sleep period time had a similar interaction (high carbohydrate: pinteraction = 0.001, high fat: pinteraction = 0.02). Within- and between-person sleep efficiency were significantly associated with lower postprandial blood glucose levels irrespective of meal type (both p < 0.03). Later sleep midpoint (time deviation from midnight) was found to be significantly associated with higher postprandial glucose, in both between-person and within-person comparisons (p = 0.035 and p = 0.051, respectively). Conclusions/interpretation: Poor sleep efficiency and later bedtime routines are associated with more pronounced postprandial glycaemic responses to breakfast the following morning. A person's deviation from their usual sleep pattern was also associated with poorer postprandial glycaemic control. These findings underscore sleep as a modifiable, non-pharmacological therapeutic target for the optimal regulation of human metabolic health. Trial registrationClinicalTrials.gov NCT03479866. Graphical abstract: [Figure not available: see fulltext.]en
dc.description.sponsorshipOpen access funding provided by Lund University. This work was supported by Zoe Ltd. TwinsUK is funded by the Wellcome Trust, Medical Research Council, European Union, Chronic Disease Research Foundation (CDRF), Zoe Global Ltd. and the National Institute for Health Research (NIHR)-funded BioResource, Clinical Research Facility and Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust in partnership with King's College London.This study was supported by Zoe Ltd., Wellcome Trust and NIHR. The PREDICT trial was conducted as a collaboration between academic research scientists and Zoe Ltd., the latter of which is a health data science start-up that spun out of Kings College London. As such, some of the funding for the PREDICT trial was provided by Zoe Ltd., who also contributed to the design and implementation of the study protocol, as well as the processing, analysis and interpretation of data. PWF holds a European Research Council consolidator award (CoG-2015_681742_ NASCENT).en
dc.language.isoeng
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleImpact of insufficient sleep on dysregulated blood glucose control under standardised meal conditions*
dc.typeArticleen
dc.authorsophosTsereteli, P. W. N.
dc.authorsophosVallat, R.
dc.authorsophosFernandez-Tajes, J.
dc.authorsophosDelahanty, L. M.
dc.authorsophosOrdovas, J. M.
dc.authorsophosDrew, D. A.
dc.authorsophosValdes, A. M.
dc.authorsophosSegata, N.
dc.authorsophosChan, A. T.
dc.authorsophosWolf, J.
dc.authorsophosBerry, S. E.
dc.authorsophosWalker, M. P.
dc.authorsophosSpector, T. D.
dc.authorsophosFranks
dc.identifier.doi10.1007/s00125-021-05608-y
dc.identifier.sophos635da1d1f50cf01a7960f487
dc.issue.number2
dc.journal.titleDiabetologia*
dc.page.initial356
dc.page.final365
dc.relation.projectIDLund University; Zoe Ltd.; Wellcome Trust; Medical Research Council; European Union; Chronic Disease Research Foundation (CDRF); Zoe Global Ltd.; National Institute for Health Research (NIHR)- BioResource, Clinical Research Facility and Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust; NIHR; PREDICT; European Research Council consolidator award [CoG-2015_681742_ NASCENT]; King's College London
dc.relation.publisherversionhttps://link.springer.com/content/pdf/10.1007%2Fs00125-021-05608-y.pdf;https://link.springer.com/content/pdf/10.1007/s00125-021-05608-y.pdfes
dc.rights.accessRightsopenAccess
dc.subject.keywordINIBICes
dc.subject.keywordAS Coruñaes
dc.subject.keywordCHUACes
dc.subject.keywordIDISes
dc.typefidesArtículo Científico (incluye Original, Original breve, Revisión Sistemática y Meta-análisis)es
dc.typesophosArtículo Originales
dc.volume.number65


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