BACKGROUND: Cardiovascular disease (CVD) is the leading cause of death in the United States. In comparison to whites, African-Americans have a higher risk of dying from CVD and have a worse risk factor profile. The Jackson Heart Study (JHS) is designed to investigate the origin and natural history of CVD in African-Americans. METHODS: Reading centers for electrocardiograms, echocardiograms, carotid ultrasonograms, pulmonary function tests, and ambulatory blood pressure monitoring provide training for data accrual, quality assurance assessments, and specialized measurements for research objectives. Laboratories adhering to well-established quality assurance programs provide blood and urine analyses, as well as storage of specimens for future assays. A new Coordinating Center was created to perform functions analogous to those of coordinating centers for multisite studies, including protocol development, data management, statistical analyses, and operational support for the study. An established coordinating center serves as a resource to the JHS Coordinating Center, providing assistance in preparing procedure manuals and data collection forms. This group also designed and developed the JHS data management system. RESULTS: This network of specialized research organizations is implementing state- of-the-science methodologies to assess prevalence, progression, and incidence of CVD and subclinical atherosclerosis, and to evaluate a myriad of risk factors. From November 2000 through March 2004, JHS collected 4000 data fields on each of more than 5300 African-American participants. CONCLUSIONS: This article describes the roles of specialized research agencies contributing to JHS, and the methodologies being utilized to accumulate study data. A diverse collection of scientific disciplines is required to collect the information needed to meet the objectives of the JHS.
BACKGROUND:Cardiovascular disease (CVD) is the leading cause of death in the United States. In comparison to whites, African-Americans have a higher risk of dying from CVD and have a worse risk factor profile. The Jackson Heart Study (JHS) is designed to investigate the origin and natural history of CVD in African-Americans. METHODS: Reading centers for electrocardiograms, echocardiograms, carotid ultrasonograms, pulmonary function tests, and ambulatory blood pressure monitoring provide training for data accrual, quality assurance assessments, and specialized measurements for research objectives. Laboratories adhering to well-established quality assurance programs provide blood and urine analyses, as well as storage of specimens for future assays. A new Coordinating Center was created to perform functions analogous to those of coordinating centers for multisite studies, including protocol development, data management, statistical analyses, and operational support for the study. An established coordinating center serves as a resource to the JHS Coordinating Center, providing assistance in preparing procedure manuals and data collection forms. This group also designed and developed the JHS data management system. RESULTS: This network of specialized research organizations is implementing state- of-the-science methodologies to assess prevalence, progression, and incidence of CVD and subclinical atherosclerosis, and to evaluate a myriad of risk factors. From November 2000 through March 2004, JHS collected 4000 data fields on each of more than 5300 African-American participants. CONCLUSIONS: This article describes the roles of specialized research agencies contributing to JHS, and the methodologies being utilized to accumulate study data. A diverse collection of scientific disciplines is required to collect the information needed to meet the objectives of the JHS.
Authors: DeMarc A Hickson; Ana V Diez Roux; Samson Y Gebreab; Sharon B Wyatt; Patricia M Dubbert; Daniel F Sarpong; Mario Sims; Herman A Taylor Journal: Am J Public Health Date: 2012-05-17 Impact factor: 9.308
Authors: Leila R Zelnick; Ronit Katz; Bessie A Young; Adolfo Correa; Bryan R Kestenbaum; Ian H de Boer; Nisha Bansal Journal: Am J Kidney Dis Date: 2017-01-28 Impact factor: 8.860
Authors: Robin Ortiz; Bjoern Kluwe; James B Odei; Justin B Echouffo Tcheugui; Mario Sims; Rita R Kalyani; Alain G Bertoni; Sherita H Golden; Joshua J Joseph Journal: Psychoneuroendocrinology Date: 2018-12-27 Impact factor: 4.905
Authors: John N Booth; Keith M Diaz; Samantha R Seals; Mario Sims; Joseph Ravenell; Paul Muntner; Daichi Shimbo Journal: Hypertension Date: 2016-06-27 Impact factor: 10.190
Authors: Rumana J Khan; Pia Riestra; Samson Y Gebreab; James G Wilson; Amadou Gaye; Ruihua Xu; Sharon K Davis Journal: J Nutr Date: 2016-06-29 Impact factor: 4.798
Authors: Keith M Diaz; Praveen Veerabhadrappa; Michael D Brown; Matthew C Whited; Patricia M Dubbert; DeMarc A Hickson Journal: Am J Hypertens Date: 2014-12-12 Impact factor: 2.689
Authors: Zihe Zheng; Jane L Harman; Josef Coresh; Anna Köttgen; Mara A McAdams-DeMarco; Adolfo Correa; Bessie A Young; Ronit Katz; Casey M Rebholz Journal: J Nutr Date: 2018-03-01 Impact factor: 4.798
Authors: Samson Y Gebreab; Ana V Diez-Roux; DeMarc A Hickson; Shawn Boykin; Mario Sims; Daniel F Sarpong; Herman A Taylor; Sharon B Wyatt Journal: Soc Sci Med Date: 2012-07-13 Impact factor: 4.634
Authors: Tibor Fülöp; DeMarc A Hickson; Sharon B Wyatt; Rajesh Bhagat; Michael Rack; Otis Gowdy; Michael F Flessner; Herman A Taylor Journal: Sleep Med Date: 2012-07-25 Impact factor: 3.492