OBJECTIVES: To demonstrate the methods of recruitment of a low-income, predominantly African-American study population for the Southern Community Cohort Study (SCCS), a prospective epidemiologic investigation of racial disparities in cancer risk. METHODS: Partnerships with community health centers (CHCs) were formed to reach underserved populations throughout the south. Recruitment of participants (aged 40-79) in CHCs began in March 2002. Participants complete a comprehensive baseline interview and provide a blood or buccal cell sample. Recruitment will expand to the general population of the south to achieve a broad cross-section of socioeconomic status, The final cohort size is expected to be approximately 100,000. RESULTS: A high level of cooperation and recruitment was achieved in the CHCs. From March 2002 to October 2004, 32,632 participants (80% black, 41% male, 62% with total household income < $15,000, 34% with < 12 years schooling) enrolled. Participants reported a high prevalence of medical conditions (21% diabetic, 44% obese) and adverse health behaviors (45% current smokers). CONCLUSIONS: Working in CHCs is successful for recruiting a population that has been difficult to reach in previous studies. The SCCS is a unique cohort that will provide a rich resource for evaluating disparities in cancer and other chronic disease risk as it is followed over time.
OBJECTIVES: To demonstrate the methods of recruitment of a low-income, predominantly African-American study population for the Southern Community Cohort Study (SCCS), a prospective epidemiologic investigation of racial disparities in cancer risk. METHODS: Partnerships with community health centers (CHCs) were formed to reach underserved populations throughout the south. Recruitment of participants (aged 40-79) in CHCs began in March 2002. Participants complete a comprehensive baseline interview and provide a blood or buccal cell sample. Recruitment will expand to the general population of the south to achieve a broad cross-section of socioeconomic status, The final cohort size is expected to be approximately 100,000. RESULTS: A high level of cooperation and recruitment was achieved in the CHCs. From March 2002 to October 2004, 32,632 participants (80% black, 41% male, 62% with total household income < $15,000, 34% with < 12 years schooling) enrolled. Participants reported a high prevalence of medical conditions (21% diabetic, 44% obese) and adverse health behaviors (45% current smokers). CONCLUSIONS: Working in CHCs is successful for recruiting a population that has been difficult to reach in previous studies. The SCCS is a unique cohort that will provide a rich resource for evaluating disparities in cancer and other chronic disease risk as it is followed over time.
Authors: A R Folsom; L H Kushi; K E Anderson; P J Mink; J E Olson; C P Hong; T A Sellers; D Lazovich; R J Prineas Journal: Arch Intern Med Date: 2000-07-24
Authors: L T Clark; K C Ferdinand; J M Flack; J R Gavin; W D Hall; S K Kumanyika; J W Reed; E Saunders; H A Valantine; K Watson; N K Wenger; J T Wright Journal: Heart Dis Date: 2001 Mar-Apr
Authors: Ahmedin Jemal; Ram C Tiwari; Taylor Murray; Asma Ghafoor; Alicia Samuels; Elizabeth Ward; Eric J Feuer; Michael J Thun Journal: CA Cancer J Clin Date: 2004 Jan-Feb Impact factor: 508.702
Authors: Emily White; Ruth E Patterson; Alan R Kristal; Mark Thornquist; Irena King; Ann L Shattuck; Ilonka Evans; Jessie Satia-Abouta; Alyson J Littman; John D Potter Journal: Am J Epidemiol Date: 2004-01-01 Impact factor: 4.897
Authors: M S Buchowski; D G Schlundt; M K Hargreaves; J H Hankin; L B Signorello; W J Blot Journal: Cell Mol Biol (Noisy-le-grand) Date: 2003-12 Impact factor: 1.770
Authors: Sarah S Cohen; Marilie D Gammon; Kari E North; Robert C Millikan; Ethan M Lange; Scott M Williams; Wei Zheng; Qiuyin Cai; Jirong Long; Jeffrey R Smith; Lisa B Signorello; William J Blot; Charles E Matthews Journal: Obesity (Silver Spring) Date: 2011-01-27 Impact factor: 5.002
Authors: Ola Landgren; S Vincent Rajkumar; Ruth M Pfeiffer; Robert A Kyle; Jerry A Katzmann; Angela Dispenzieri; Qiuyin Cai; Lynn R Goldin; Neil E Caporaso; Joseph F Fraumeni; William J Blot; Lisa B Signorello Journal: Blood Date: 2010-04-26 Impact factor: 22.113
Authors: Maciej S Buchowski; Charles E Matthews; Sarah S Cohen; Lisa B Signorello; Jay H Fowke; Margaret K Hargreaves; David G Schlundt; William J Blot Journal: J Phys Act Health Date: 2011-08-02
Authors: Swann Arp Adams; William M Butler; Jeanette Fulton; Sue P Heiney; Edith M Williams; Alexandria F Delage; Leepao Khang; James R Hebert Journal: Cancer Date: 2011-09-27 Impact factor: 6.860
Authors: Lisa B Signorello; Scott M Williams; Wei Zheng; Jeffrey R Smith; Jirong Long; Qiuyin Cai; Margaret K Hargreaves; Bruce W Hollis; William J Blot Journal: Cancer Epidemiol Biomarkers Prev Date: 2010-07-20 Impact factor: 4.254
Authors: Robert R McWilliams; Eric D Wieben; Kari G Chaffee; Samuel O Antwi; Leon Raskin; Olufunmilayo I Olopade; Donghui Li; W Edward Highsmith; Gerardo Colon-Otero; Lauren G Khanna; Jennifer B Permuth; Janet E Olson; Harold Frucht; Jeanine Genkinger; Wei Zheng; William J Blot; Lang Wu; Luciana L Almada; Martin E Fernandez-Zapico; Hugues Sicotte; Katrina S Pedersen; Gloria M Petersen Journal: Cancer Epidemiol Biomarkers Prev Date: 2018-07-23 Impact factor: 4.254
Authors: Julia Butt; William J Blot; Lauren R Teras; Kala Visvanathan; Loïc Le Marchand; Christopher A Haiman; Yu Chen; Ying Bao; Howard D Sesso; Sylvia Wassertheil-Smoller; Gloria Y Ho; Lesley F Tinker; Richard M Peek; John D Potter; Timothy L Cover; Laura H Hendrix; Li-Ching Huang; Tim Waterboer; Michael Pawlita; Meira Epplein Journal: Cancer Epidemiol Biomarkers Prev Date: 2018-07-23 Impact factor: 4.254
Authors: Linda Behar-Horenstein; Rueben C Warren; V Wendy Setiawan; Corey Perkins; Thomas D Schmittgen Journal: Cancer Health Disparities Date: 2020-12
Authors: Meira Epplein; Michael Pawlita; Angelika Michel; Richard M Peek; Qiuyin Cai; William J Blot Journal: Cancer Epidemiol Biomarkers Prev Date: 2013-09-17 Impact factor: 4.254