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Trial record 1 of 1 for:    NCT00005133
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Cardiovascular Health Study (CHS)

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ClinicalTrials.gov Identifier: NCT00005133
Recruitment Status : Completed
First Posted : May 26, 2000
Last Update Posted : October 26, 2016
Information provided by:
National Heart, Lung, and Blood Institute (NHLBI)

Brief Summary:
To determine the extent to which known risk factors predict coronary heart disease and stroke in the elderly, to assess the precipitants of coronary heart disease and stroke in the elderly, and to identify the predictors of mortality and functional impairments in clinical coronary disease or stroke.

Condition or disease
Cardiovascular Diseases Coronary Disease Heart Diseases Cerebrovascular Accident Diabetes Mellitus Hypertension Heart Failure, Congestive

  Show Detailed Description

Study Type : Observational
Study Start Date : June 1988
Primary Completion Date : May 2009
Study Completion Date : May 2009

Information from the National Library of Medicine

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Ages Eligible for Study:   65 Years to 100 Years   (Adult, Senior)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
No eligibility criteria

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT00005133

Sponsors and Collaborators
National Heart, Lung, and Blood Institute (NHLBI)
OverallOfficial: Gregory Burke Bowman Gray School of Medicine
OverallOfficial: Linda Fried Johns Hopkins University
OverallOfficial: John Gottdiener Georgetown University
OverallOfficial: Ronald Klein University of Wisconsin, Madison
OverallOfficial: Richard Kronmal University of Washington
OverallOfficial: Lewis Kuller University of Pittsburgh
OverallOfficial: Daniel Oleary Geisinger Foundation
OverallOfficial: John Robbins University of California, Davis
OverallOfficial: Russell Tracy University of Vermont
OverallOfficial: David Yousem Johns Hopkins University

Additional Information:
Study Data/Documents: Individual Participant Data Set  This link exits the ClinicalTrials.gov site
Identifier: CHS
NHLBI provides controlled access to IPD through BioLINCC. Access requires registration, evidence of local IRB approval or certification of exemption from IRB review, and completion of a data use agreement.

Publications automatically indexed to this study by ClinicalTrials.gov Identifier (NCT Number):
McKeown NM, Dashti HS, Ma J, Haslam DE, Kiefte-de Jong JC, Smith CE, Tanaka T, Graff M, Lemaitre RN, Rybin D, Sonestedt E, Frazier-Wood AC, Mook-Kanamori DO, Li Y, Wang CA, Leermakers ETM, Mikkilä V, Young KL, Mukamal KJ, Cupples LA, Schulz CA, Chen TA, Li-Gao R, Huang T, Oddy WH, Raitakari O, Rice K, Meigs JB, Ericson U, Steffen LM, Rosendaal FR, Hofman A, Kähönen M, Psaty BM, Brunkwall L, Uitterlinden AG, Viikari J, Siscovick DS, Seppälä I, North KE, Mozaffarian D, Dupuis J, Orho-Melander M, Rich SS, de Mutsert R, Qi L, Pennell CE, Franco OH, Lehtimäki T, Herman MA. Sugar-sweetened beverage intake associations with fasting glucose and insulin concentrations are not modified by selected genetic variants in a ChREBP-FGF21 pathway: a meta-analysis. Diabetologia. 2018 Feb;61(2):317-330. doi: 10.1007/s00125-017-4475-0. Epub 2017 Nov 2.
Dashti HS, Follis JL, Smith CE, Tanaka T, Cade BE, Gottlieb DJ, Hruby A, Jacques PF, Lamon-Fava S, Richardson K, Saxena R, Scheer FA, Kovanen L, Bartz TM, Perälä MM, Jonsson A, Frazier-Wood AC, Kalafati IP, Mikkilä V, Partonen T, Lemaitre RN, Lahti J, Hernandez DG, Toft U, Johnson WC, Kanoni S, Raitakari OT, Perola M, Psaty BM, Ferrucci L, Grarup N, Highland HM, Rallidis L, Kähönen M, Havulinna AS, Siscovick DS, Räikkönen K, Jørgensen T, Rotter JI, Deloukas P, Viikari JS, Mozaffarian D, Linneberg A, Seppälä I, Hansen T, Salomaa V, Gharib SA, Eriksson JG, Bandinelli S, Pedersen O, Rich SS, Dedoussis G, Lehtimäki T, Ordovás JM. Habitual sleep duration is associated with BMI and macronutrient intake and may be modified by CLOCK genetic variants. Am J Clin Nutr. 2015 Jan;101(1):135-43. doi: 10.3945/ajcn.114.095026. Epub 2014 Nov 26.
Tanaka T, Ngwa JS, van Rooij FJ, Zillikens MC, Wojczynski MK, Frazier-Wood AC, Houston DK, Kanoni S, Lemaitre RN, Luan J, Mikkilä V, Renstrom F, Sonestedt E, Zhao JH, Chu AY, Qi L, Chasman DI, de Oliveira Otto MC, Dhurandhar EJ, Feitosa MF, Johansson I, Khaw KT, Lohman KK, Manichaikul A, McKeown NM, Mozaffarian D, Singleton A, Stirrups K, Viikari J, Ye Z, Bandinelli S, Barroso I, Deloukas P, Forouhi NG, Hofman A, Liu Y, Lyytikäinen LP, North KE, Dimitriou M, Hallmans G, Kähönen M, Langenberg C, Ordovas JM, Uitterlinden AG, Hu FB, Kalafati IP, Raitakari O, Franco OH, Johnson A, Emilsson V, Schrack JA, Semba RD, Siscovick DS, Arnett DK, Borecki IB, Franks PW, Kritchevsky SB, Lehtimäki T, Loos RJ, Orho-Melander M, Rotter JI, Wareham NJ, Witteman JC, Ferrucci L, Dedoussis G, Cupples LA, Nettleton JA. Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake. Am J Clin Nutr. 2013 Jun;97(6):1395-402. doi: 10.3945/ajcn.112.052183. Epub 2013 May 1.

ClinicalTrials.gov Identifier: NCT00005133     History of Changes
Other Study ID Numbers: 1003
First Posted: May 26, 2000    Key Record Dates
Last Update Posted: October 26, 2016
Last Verified: May 2009

Additional relevant MeSH terms:
Diabetes Mellitus
Heart Failure
Cardiovascular Diseases
Heart Diseases
Coronary Disease
Coronary Artery Disease
Glucose Metabolism Disorders
Metabolic Diseases
Endocrine System Diseases
Myocardial Ischemia
Vascular Diseases
Arterial Occlusive Diseases
Cerebrovascular Disorders
Brain Diseases
Central Nervous System Diseases
Nervous System Diseases