{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T16:12:54Z","timestamp":1790957574099,"version":"4.1.0"},"reference-count":40,"publisher":"American Diabetes Association","issue":"4","license":[{"start":{"date-parts":[[2022,3,25]],"date-time":"2022-03-25T00:00:00Z","timestamp":1648166400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.diabetesjournals.org\/journals\/pages\/license"}],"content-domain":{"domain":["diabetesjournals.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,4,1]]},"abstract":"<jats:sec>\n                    <jats:title>OBJECTIVE<\/jats:title>\n                    <jats:p>To examine the effects of sleep traits on glycated hemoglobin (HbA1c).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESEARCH DESIGN AND METHODS<\/jats:title>\n                    <jats:p>This study triangulated evidence across multivariable regression (MVR) and one- (1SMR) and two-sample Mendelian randomization (2SMR) including sensitivity analyses on the effects of five self-reported sleep traits (i.e., insomnia symptoms [difficulty initiating or maintaining sleep], sleep duration, daytime sleepiness, napping, and chronotype) on HbA1c (in SD units) in adults of European ancestry from the UK Biobank (for MVR and 1SMR analyses) (n = 336,999; mean [SD] age 57 [8] years; 54% female) and in the genome-wide association studies from the Meta-Analyses of Glucose and Insulin-Related Traits Consortium (MAGIC) (for 2SMR analysis) (n = 46,368; 53 [11] years; 52% female).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>Across MVR, 1SMR, 2SMR, and their sensitivity analyses, we found a higher frequency of insomnia symptoms (usually vs. sometimes or rarely\/never) was associated with higher HbA1c (MVR 0.05 SD units [95% CI 0.04\u20130.06]; 1SMR 0.52 [0.42\u20130.63]; 2SMR 0.24 [0.11\u20130.36]). Associations remained, but point estimates were somewhat attenuated after excluding participants with diabetes. For other sleep traits, there was less consistency across methods, with some but not all providing evidence of an effect.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSIONS<\/jats:title>\n                    <jats:p>Our results suggest that frequent insomnia symptoms cause higher HbA1c levels and, by implication, that insomnia has a causal role in type 2 diabetes. These findings could have important implications for developing and evaluating strategies that improve sleep habits to reduce hyperglycemia and prevent diabetes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2337\/dc21-0089","type":"journal-article","created":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T13:09:25Z","timestamp":1648559365000},"page":"772-781","update-policy":"https:\/\/doi.org\/10.2337\/ada-journal-policies","source":"Crossref","is-referenced-by-count":55,"title":["Assessing the Causal Role of Sleep Traits on Glycated Hemoglobin: A Mendelian Randomization Study"],"prefix":"10.2337","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0958-7237","authenticated-orcid":false,"given":"Junxi","family":"Liu","sequence":"first","affiliation":[{"name":"1Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, U.K."},{"name":"2Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0574-5071","authenticated-orcid":false,"given":"Rebecca C.","family":"Richmond","sequence":"additional","affiliation":[{"name":"1Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, U.K."},{"name":"2Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jack","family":"Bowden","sequence":"additional","affiliation":[{"name":"1Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, U.K."},{"name":"3College of Medicine and Health, University of Exeter, Exeter, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ciarrah","family":"Barry","sequence":"additional","affiliation":[{"name":"1Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, U.K."},{"name":"2Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1650-679X","authenticated-orcid":false,"given":"Hassan S.","family":"Dashti","sequence":"additional","affiliation":[{"name":"4Centre for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA"},{"name":"5Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA"},{"name":"6Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Iyas","family":"Daghlas","sequence":"additional","affiliation":[{"name":"4Centre for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA"},{"name":"5Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA"},{"name":"6Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacqueline M.","family":"Lane","sequence":"additional","affiliation":[{"name":"4Centre for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA"},{"name":"5Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA"},{"name":"6Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samuel E.","family":"Jones","sequence":"additional","affiliation":[{"name":"7Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1726-948X","authenticated-orcid":false,"given":"Andrew R.","family":"Wood","sequence":"additional","affiliation":[{"name":"8Genetics of Complex Traits, University of Exeter Medical School, Exeter, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8362-2603","authenticated-orcid":false,"given":"Timothy M.","family":"Frayling","sequence":"additional","affiliation":[{"name":"8Genetics of Complex Traits, University of Exeter Medical School, Exeter, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8418-8332","authenticated-orcid":false,"given":"Alison K.","family":"Wright","sequence":"additional","affiliation":[{"name":"9Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7336-1606","authenticated-orcid":false,"given":"Matthew J.","family":"Carr","sequence":"additional","affiliation":[{"name":"10Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, U.K."},{"name":"11Manchester Academic Health Science Centre, University of Manchester, Manchester, U.K."},{"name":"12National Institute for Health Research (NIHR) Greater Manchester Patient Safety Translational Research Centre, University of Manchester, Manchester, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simon G.","family":"Anderson","sequence":"additional","affiliation":[{"name":"13George Alleyne Chronic Disease Research Centre, Caribbean Institute of Health Research, University of the West Indies, Kingston, Jamaica"},{"name":"14Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard A.","family":"Emsley","sequence":"additional","affiliation":[{"name":"15Department of Biostatistics and Health Informatics, King\u2019s College London, London, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David W.","family":"Ray","sequence":"additional","affiliation":[{"name":"16NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, U.K."},{"name":"17Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6174-6135","authenticated-orcid":false,"given":"Michael N.","family":"Weedon","sequence":"additional","affiliation":[{"name":"8Genetics of Complex Traits, University of Exeter Medical School, Exeter, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2233-1065","authenticated-orcid":false,"given":"Richa","family":"Saxena","sequence":"additional","affiliation":[{"name":"4Centre for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA"},{"name":"5Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA"},{"name":"6Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA"},{"name":"18Division of Sleep and Circadian Disorders, Brigham and Women\u2019s Hospital, Harvard Medical School, Boston, MA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6793-2262","authenticated-orcid":false,"given":"Deborah A.","family":"Lawlor","sequence":"additional","affiliation":[{"name":"1Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, U.K."},{"name":"2Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, U.K."},{"name":"19NIHR Bristol Biomedical Research Centre, University Hospitals Bristol National Health Service (NHS) Foundation Trust, University of Bristol, Bristol, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin K.","family":"Rutter","sequence":"additional","affiliation":[{"name":"9Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, U.K."},{"name":"20Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1167","published-online":{"date-parts":[[2022,3,29]]},"reference":[{"key":"2023053114403877900_B1","doi-asserted-by":"crossref","first-page":"3242","DOI":"10.1210\/jc.2009-0483","article-title":"Exposure to recurrent sleep restriction in the setting of high caloric intake and physical inactivity results in increased insulin resistance and reduced glucose tolerance","volume":"94","author":"Nedeltcheva","year":"2009","journal-title":"J Clin Endocrinol Metab"},{"key":"2023053114403877900_B2","doi-asserted-by":"crossref","first-page":"529","DOI":"10.2337\/dc14-2073","article-title":"Sleep duration and risk of type 2 diabetes: a meta-analysis of prospective studies","volume":"38","author":"Shan","year":"2015","journal-title":"Diabetes Care"},{"key":"2023053114403877900_B3","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1186\/s12888-017-1268-4","article-title":"Insomnia symptoms as a cause of type 2 diabetes Incidence: a 20 year cohort study","volume":"17","author":"Green","year":"2017","journal-title":"BMC Psychiatry"},{"key":"2023053114403877900_B4","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.sleep.2015.11.004","article-title":"Napping and the risk of type 2 diabetes: a population-based prospective study","volume":"17","author":"Hublin","year":"2016","journal-title":"Sleep Med"},{"key":"2023053114403877900_B5","doi-asserted-by":"crossref","first-page":"1707","DOI":"10.2337\/dc15-0302","article-title":"Mismatch of sleep and work timing and risk of type 2 diabetes","volume":"38","author":"Vetter","year":"2015","journal-title":"Diabetes Care"},{"key":"2023053114403877900_B6","doi-asserted-by":"crossref","first-page":"1133","DOI":"10.1002\/sim.3034","article-title":"Mendelian randomization: using genes as instruments for making causal inferences in epidemiology","volume":"27","author":"Lawlor","year":"2008","journal-title":"Stat Med"},{"key":"2023053114403877900_B7","first-page":"1866","article-title":"Triangulation in aetiological epidemiology","volume":"45","author":"Lawlor","year":"2016","journal-title":"Int J Epidemiol"},{"key":"2023053114403877900_B8","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.ypmed.2018.11.019","article-title":"Sleep duration and risk of diabetes: observational and Mendelian randomization studies","volume":"119","author":"Wang","year":"2019","journal-title":"Prev Med"},{"key":"2023053114403877900_B9","doi-asserted-by":"crossref","first-page":"682","DOI":"10.3390\/jcm8050682","article-title":"The association between habitual sleep duration and sleep quality with glycemic traits: assessment by cross-sectional and Mendelian randomization analyses","volume":"8","author":"Bos","year":"2019","journal-title":"J Clin Med"},{"key":"2023053114403877900_B10","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1038\/s41588-018-0333-3","article-title":"Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways","volume":"51","author":"Jansen","year":"2019","journal-title":"Nat Genet"},{"key":"2023053114403877900_B11","doi-asserted-by":"crossref","first-page":"2359","DOI":"10.1007\/s00125-020-05253-x","article-title":"An atlas on risk factors for type 2 diabetes: a wide-angled Mendelian randomisation study","volume":"63","author":"Yuan","year":"2020","journal-title":"Diabetologia"},{"key":"2023053114403877900_B12","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1093\/ije\/dyr036","article-title":"Avoiding bias from weak instruments in Mendelian randomization studies","volume":"40","author":"Burgess","year":"2011","journal-title":"Int J Epidemiol"},{"key":"2023053114403877900_B13","doi-asserted-by":"crossref","first-page":"1100","DOI":"10.1038\/s41467-019-08917-4","article-title":"Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates","volume":"10","author":"Dashti","year":"2019","journal-title":"Nat Commun"},{"key":"2023053114403877900_B14","doi-asserted-by":"crossref","first-page":"3503","DOI":"10.1038\/s41467-019-11456-7","article-title":"Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes","volume":"10","author":"Wang","year":"2019","journal-title":"Nat Commun"},{"key":"2023053114403877900_B15","article-title":"Genetic determinants of daytime napping and effects on cardiometabolic health","author":"Dashti","year":"2020","journal-title":"medRxiv"},{"key":"2023053114403877900_B16","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1038\/s41467-018-08259-7","article-title":"Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms","volume":"10","author":"Jones","year":"2019","journal-title":"Nat Commun"},{"key":"2023053114403877900_B17","doi-asserted-by":"crossref","first-page":"3229","DOI":"10.2337\/db10-0502","article-title":"Common variants at 10 genomic loci influence hemoglobin A1(C) levels via glycemic and nonglycemic pathways [published correction appears in Diabetes. 2011;60:1050\u20131051]","volume":"59","author":"Soranzo","year":"2010","journal-title":"Diabetes"},{"key":"2023053114403877900_B18","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1038\/ng.520","article-title":"New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk","volume":"42","author":"Dupuis","year":"2010","journal-title":"Nat Genet"},{"key":"2023053114403877900_B19","doi-asserted-by":"crossref","first-page":"e1009703","DOI":"10.1371\/journal.pgen.1009703","article-title":"Exploiting collider bias to apply two-sample summary data Mendelian randomization methods to one-sample individual level data","volume":"17","author":"Barry","year":"2021","journal-title":"PLoS Genet"},{"key":"2023053114403877900_B20","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1007\/s10654-018-0424-6","article-title":"Mendelian randomization with a binary exposure variable: interpretation and presentation of causal estimates","volume":"33","author":"Burgess","year":"2018","journal-title":"Eur J Epidemiol"},{"key":"2023053114403877900_B21","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1038\/s41586-018-0579-z","article-title":"The UK Biobank resource with deep phenotyping and genomic data","volume":"562","author":"Bycroft","year":"2018","journal-title":"Nature"},{"key":"2023053114403877900_B22","doi-asserted-by":"crossref","first-page":"e34408","DOI":"10.7554\/eLife.34408","article-title":"The MR-Base platform supports systematic causal inference across the human phenome","volume":"7","author":"Hemani","year":"2018","journal-title":"Elife"},{"key":"2023053114403877900_B23","doi-asserted-by":"crossref","first-page":"e0162388","DOI":"10.1371\/journal.pone.0162388","article-title":"Algorithms for the capture and adjudication of prevalent and incident diabetes in UK Biobank","volume":"11","author":"Eastwood","year":"2016","journal-title":"PLoS One"},{"key":"2023053114403877900_B24","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.ehb.2013.12.002","article-title":"Mendelian randomization in health research: using appropriate genetic variants and avoiding biased estimates","volume":"13","author":"Taylor","year":"2014","journal-title":"Econ Hum Biol"},{"key":"2023053114403877900_B25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1177\/1536867X0300300101","article-title":"Instrumental variables and GMM: estimation and testing","volume":"3","author":"Baum","year":"2003","journal-title":"Stata J"},{"key":"2023053114403877900_B26","doi-asserted-by":"crossref","first-page":"1880","DOI":"10.1002\/sim.6835","article-title":"Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods","volume":"35","author":"Burgess","year":"2016","journal-title":"Stat Med"},{"key":"2023053114403877900_B27","doi-asserted-by":"crossref","first-page":"713","DOI":"10.1093\/ije\/dyy262","article-title":"An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings","volume":"48","author":"Sanderson","year":"2019","journal-title":"Int J Epidemiol"},{"key":"2023053114403877900_B28","doi-asserted-by":"crossref","first-page":"1629","DOI":"10.5665\/sleep.6078","article-title":"Is sleep quality more important than sleep duration for public health?","volume":"39","author":"Bin","year":"2016","journal-title":"Sleep (Basel)"},{"key":"2023053114403877900_B29","doi-asserted-by":"crossref","first-page":"64","DOI":"10.3390\/brainsci6040064","article-title":"Genetic pathways to insomnia","volume":"6","author":"Lind","year":"2016","journal-title":"Brain Sci"},{"key":"2023053114403877900_B30","doi-asserted-by":"crossref","first-page":"S23","DOI":"10.1016\/S1389-9457(08)70013-3","article-title":"Metabolic consequences of sleep and sleep loss","volume":"9","author":"Van Cauter","year":"2008","journal-title":"Sleep Med"},{"key":"2023053114403877900_B31","first-page":"zsx014","article-title":"Association between sleep timing, obesity, diabetes: the Hispanic Community Health Study\/Study of Latinos (HCHS\/SOL) cohort study","volume":"40","author":"Knutson","year":"2017","journal-title":"Sleep (Basel)"},{"key":"2023053114403877900_B32","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.sleep.2017.01.018","article-title":"The association between daytime napping and risk of diabetes: a systematic review and meta-analysis of observational studies","volume":"37","author":"Guo","year":"2017","journal-title":"Sleep Med"},{"key":"2023053114403877900_B33","doi-asserted-by":"crossref","first-page":"1176","DOI":"10.1016\/j.numecd.2019.06.020","article-title":"Evaluating causal associations between chronotype and fatty acids and between fatty acids and type 2 diabetes: a Mendelian randomization study","volume":"29","author":"Adams","year":"2019","journal-title":"Nutr Metab Cardiovasc Dis"},{"key":"2023053114403877900_B34","doi-asserted-by":"crossref","first-page":"7244","DOI":"10.3390\/ijms21197244","article-title":"Metabolomics in sleep, insomnia and sleep apnea","volume":"21","author":"Humer","year":"2020","journal-title":"Int J Mol Sci"},{"key":"2023053114403877900_B35","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1093\/ije\/dyx206","article-title":"Collider scope: when selection bias can substantially influence observed associations","volume":"47","author":"Munaf\u00f2","year":"2018","journal-title":"Int J Epidemiol"},{"key":"2023053114403877900_B36","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1038\/s41588-019-0361-7","article-title":"Biological and clinical insights from genetics of insomnia symptoms","volume":"51","author":"Lane","year":"2019","journal-title":"Nat Genet"},{"key":"2023053114403877900_B37","doi-asserted-by":"crossref","first-page":"e1001779","DOI":"10.1371\/journal.pmed.1001779","article-title":"UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age","volume":"12","author":"Sudlow","year":"2015","journal-title":"PLoS Med"},{"key":"2023053114403877900_B38","doi-asserted-by":"crossref","first-page":"2040622320909040","DOI":"10.1177\/2040622320909040","article-title":"Exploring the causal pathway from body mass index to coronary heart disease: a network Mendelian randomization study","volume":"11","author":"Hu","year":"2020","journal-title":"Ther Adv Chronic Dis"},{"key":"2023053114403877900_B39","unstructured":"Office for National Statistics\n          . Overview of the UK population: August 2019. Accessed 22 December 2020. Available from https:\/\/www. ons.gov.uk\/peoplepopulationandcommunity\/populationandmigration\/populationestimates\/ articles\/overviewoftheukpopulation\/august 2019"},{"key":"2023053114403877900_B40","doi-asserted-by":"crossref","first-page":"377","DOI":"10.5665\/sleep.1700","article-title":"Increased prevalence of insomnia and changes in hypnotics use in England over 15 years: analysis of the 1993, 2000, and 2007 National Psychiatric Morbidity Surveys","volume":"35","author":"Calem","year":"2012","journal-title":"Sleep (Basel)"}],"container-title":["Diabetes Care"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/diabetesjournals.org\/care\/article-pdf\/45\/4\/772\/715915\/dc210089.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/diabetesjournals.org\/care\/article-pdf\/45\/4\/772\/715915\/dc210089.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T10:41:33Z","timestamp":1685529693000},"score":1,"resource":{"primary":{"URL":"https:\/\/diabetesjournals.org\/care\/article\/45\/4\/772\/144928\/Assessing-the-Causal-Role-of-Sleep-Traits-on"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,29]]},"references-count":40,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2022,3,29]]},"published-print":{"date-parts":[[2022,4,1]]}},"URL":"https:\/\/doi.org\/10.2337\/dc21-0089","relation":{"has-preprint":[{"id-type":"doi","id":"10.2337\/figshare.17054093.v1","asserted-by":"object"},{"id-type":"doi","id":"10.2337\/figshare.17054093","asserted-by":"object"},{"id-type":"doi","id":"10.1101\/2020.12.18.20224733","asserted-by":"object"}]},"ISSN":["0149-5992"],"issn-type":[{"value":"0149-5992","type":"print"}],"subject":[],"published":{"date-parts":[[2022,3,29]]}}}