Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
873 participants
OBSERVATIONAL
2019-04-01
2020-06-30
Brief Summary
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Detailed Description
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Conditions
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Keywords
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Study Design
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CASE_CONTROL
RETROSPECTIVE
Study Groups
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control group
Patients hospitalized and diagnosed as non-AMI during the same time period were matched. All patients underwent coronary angiography and CAD was defined as at least one main coronary artery with \> 50% narrowing of luminal diameter.
No interventions assigned to this group
AMI group
Patients were diagnosed as MI when a cardiac biomarker (preferably cardiac troponin) rose or fell at least one value in its 99th percentile upper reference limit and at least one of the following criteria was met, including ischemic symptoms, electrocardiogram (ECG) changes of new ischemia, pathologic Q waves in the ECG, imaging evidence of new loss of viable myocardium or new regional wall motion abnormality, identification of an intracoronary thrombus by angiography or autopsy.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
2. can complete sleep factors questionnaire.
Exclusion Criteria
2. sleep apnea;
3. chronic obstructive pulmonary disease;
4. stroke sequelae;
5. arthritis;
6. renal failure;
7. tumor and a history of revascularization.
18 Years
80 Years
ALL
No
Sponsors
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The Affiliated Jiangning Hospital of Nanjing Medical University
OTHER
The First Affiliated Hospital with Nanjing Medical University
OTHER
Responsible Party
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Liansheng Wang
Professor
Principal Investigators
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Wang Liansheng
Role: STUDY_DIRECTOR
The First Affiliated Hospital with Nanjing Medical University
Locations
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the First Affiliated Hospital of Nanjing Medical University
Nanjing, Jiangsu, China
Countries
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References
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Watson NF, Badr MS, Belenky G, Bliwise DL, Buxton OM, Buysse D, Dinges DF, Gangwisch J, Grandner MA, Kushida C, Malhotra RK, Martin JL, Patel SR, Quan SF, Tasali E. Recommended Amount of Sleep for a Healthy Adult: A Joint Consensus Statement of the American Academy of Sleep Medicine and Sleep Research Society. Sleep. 2015 Jun 1;38(6):843-4. doi: 10.5665/sleep.4716.
Buxton OM, Marcelli E. Short and long sleep are positively associated with obesity, diabetes, hypertension, and cardiovascular disease among adults in the United States. Soc Sci Med. 2010 Sep;71(5):1027-36. doi: 10.1016/j.socscimed.2010.05.041. Epub 2010 Jun 16.
Nuyujukian DS, Beals J, Huang H, Johnson A, Bullock A, Manson SM, Jiang L; Special Diabetes Program for Indians Diabetes Prevention Demonstration Project. Sleep Duration and Diabetes Risk in American Indian and Alaska Native Participants of a Lifestyle Intervention Project. Sleep. 2016 Nov 1;39(11):1919-1926. doi: 10.5665/sleep.6216.
Kobayashi D, Takahashi O, Deshpande GA, Shimbo T, Fukui T. Association between weight gain, obesity, and sleep duration: a large-scale 3-year cohort study. Sleep Breath. 2012 Sep;16(3):829-33. doi: 10.1007/s11325-011-0583-0. Epub 2011 Sep 3.
Kim JY, Yadav D, Ahn SV, Koh SB, Park JT, Yoon J, Yoo BS, Lee SH. A prospective study of total sleep duration and incident metabolic syndrome: the ARIRANG study. Sleep Med. 2015 Dec;16(12):1511-5. doi: 10.1016/j.sleep.2015.06.024. Epub 2015 Sep 28.
Thomson CA, Morrow KL, Flatt SW, Wertheim BC, Perfect MM, Ravia JJ, Sherwood NE, Karanja N, Rock CL. Relationship between sleep quality and quantity and weight loss in women participating in a weight-loss intervention trial. Obesity (Silver Spring). 2012 Jul;20(7):1419-25. doi: 10.1038/oby.2012.62. Epub 2012 Mar 8.
Cappuccio FP, Stranges S, Kandala NB, Miller MA, Taggart FM, Kumari M, Ferrie JE, Shipley MJ, Brunner EJ, Marmot MG. Gender-specific associations of short sleep duration with prevalent and incident hypertension: the Whitehall II Study. Hypertension. 2007 Oct;50(4):693-700. doi: 10.1161/HYPERTENSIONAHA.107.095471. Epub 2007 Sep 4.
Cappuccio FP, Cooper D, D'Elia L, Strazzullo P, Miller MA. Sleep duration predicts cardiovascular outcomes: a systematic review and meta-analysis of prospective studies. Eur Heart J. 2011 Jun;32(12):1484-92. doi: 10.1093/eurheartj/ehr007. Epub 2011 Feb 7.
Campos H, Siles X. Siesta and the risk of coronary heart disease: results from a population-based, case-control study in Costa Rica. Int J Epidemiol. 2000 Jun;29(3):429-37.
Sharma M, Sawhney JP, Panda S. Sleep quality and duration - potentially modifiable risk factors for Coronary Artery Disease? Indian Heart J. 2014 Nov-Dec;66(6):565-8. doi: 10.1016/j.ihj.2014.10.412. Epub 2014 Nov 4.
Xie D, Li W, Wang Y, Gu H, Teo K, Liu L, Yusuf S; INTERHEART China study Investigators. Sleep duration, snoring habits and risk of acute myocardial infarction in China population: results of the INTERHEART study. BMC Public Health. 2014 May 29;14:531. doi: 10.1186/1471-2458-14-531.
Wang D, Ruan W, Chen Z, Peng Y, Li W. Shift work and risk of cardiovascular disease morbidity and mortality: A dose-response meta-analysis of cohort studies. Eur J Prev Cardiol. 2018 Aug;25(12):1293-1302. doi: 10.1177/2047487318783892. Epub 2018 Jun 22.
Sinning C, Lillpopp L, Appelbaum S, Ojeda F, Zeller T, Schnabel R, Lubos E, Jagodzinski A, Keller T, Munzel T, Bickel C, Blankenberg S. Angiographic score assessment improves cardiovascular risk prediction: the clinical value of SYNTAX and Gensini application. Clin Res Cardiol. 2013 Jul;102(7):495-503. doi: 10.1007/s00392-013-0555-4. Epub 2013 Mar 23.
Yang WS, Fu WX, Wang X, Deng Q, Wang L, Wang LY, Zhao H, Fan WY, Huang SX. Comprehensive assessments of long-term sleep habits in epidemiological study: Validity and reliability of sleep factors questionnaire (SFQ) among Chinese women. J Psychosom Res. 2017 Apr;95:12-18. doi: 10.1016/j.jpsychores.2017.02.005. Epub 2017 Feb 10.
Taheri S, Lin L, Austin D, Young T, Mignot E. Short sleep duration is associated with reduced leptin, elevated ghrelin, and increased body mass index. PLoS Med. 2004 Dec;1(3):e62. doi: 10.1371/journal.pmed.0010062. Epub 2004 Dec 7.
Stang A, Dragano N, Moebus S, Mohlenkamp S, Schmermund A, Kalsch H, Erbel R, Jockel KH; Heinz Nixdorf Recall Investigative Group. Midday naps and the risk of coronary artery disease: results of the Heinz Nixdorf Recall Study. Sleep. 2012 Dec 1;35(12):1705-12. doi: 10.5665/sleep.2248.
Merikanto I, Lahti T, Puolijoki H, Vanhala M, Peltonen M, Laatikainen T, Vartiainen E, Salomaa V, Kronholm E, Partonen T. Associations of chronotype and sleep with cardiovascular diseases and type 2 diabetes. Chronobiol Int. 2013 May;30(4):470-7. doi: 10.3109/07420528.2012.741171. Epub 2013 Jan 2.
Other Identifiers
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NSFC
Identifier Type: -
Identifier Source: org_study_id