Signorello Lisa B, Hargreaves Margaret K, Steinwandel Mark D, Zheng Wei, Cai Qiuyin, Schlundt David G, Buchowski Maciej S, Arnold Carolyne W, McLaughlin Joseph K, Blot William J
International Epidemiology Institute, Rockville, MD, USA.
J Natl Med Assoc. 2005 Jul;97(7):972-9.
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.
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.
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).
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.
为南方社区队列研究（SCCS）展示招募低收入、主要为非裔美国人的研究人群的方法，该研究是一项关于癌症风险种族差异的前瞻性流行病学调查。
与社区卫生中心（CHCs）建立合作关系，以覆盖整个南方未得到充分服务的人群。2002年3月开始在社区卫生中心招募参与者（年龄在40 - 79岁之间）。参与者完成一次全面的基线访谈并提供血液或颊细胞样本。招募范围将扩大到南方的普通人群，以实现广泛的社会经济地位横断面，最终队列规模预计约为100,000人。
在社区卫生中心实现了高度的合作与招募。从2002年3月到2004年10月，有32,632名参与者（80%为黑人，41%为男性，62%的家庭总收入 < 15,000美元，34%的受教育年限 < 12年）登记入组。参与者报告的医疗状况患病率较高（21%患有糖尿病，44%肥胖）以及不良健康行为发生率较高（45%为当前吸烟者）。
在社区卫生中心开展工作成功招募到了在以往研究中难以触及的人群。南方社区队列研究是一个独特的队列，随着时间推移，它将为评估癌症和其他慢性疾病风险的差异提供丰富资源。
