Random digit dialing in Chicago CARDIA: comparison of individuals with unlisted and listed telephone numbers.
Random digit dialing in Chicago CARDIA: comparison of individuals with unlisted and listed telephone numbers.
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芝加哥 CARDIA 的随机数字拨号：具有未列出和列出的电话号码的个人的比较。
DOI：
10.1093/oxfordjournals.aje.a116349
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发表时间：
1992
影响因子：
5
通讯作者：
Manolio,TA
中科院分区：
文献类型：
--
作者：
Orden,SR;Dyer,AR;Liu,K;Perkins,L;Ruth,KJ;Burke,G;Manolio,TA
研究人员通过随机拨号的方式招募了年龄在18-30岁之间、受教育程度高低不同的年轻黑人和白人，参与了一项名为“年轻人冠状动脉风险发展”（CARDIA）的纵向研究。总的来说，31%的随机选择的有资格参与的人没有列出电话号码——大约50%的黑人男性和女性，11%和17%的白人男性和女性。不同教育水平未列出的数字的比例没有差异，除了白人男性，低教育水平的数字比高教育水平的数字更有可能未列出。对于未列出的和列出的数字，不同种族、性别或教育亚组的参与率没有一致的差异模式，除了吸烟外，选定的健康措施没有显著差异。研究结果表明，在芝加哥，由于排除了未列出的数字，对社会人口特征的估计可能存在偏见，但如果招聘是根据种族、性别和教育程度分层的，那么这种偏见可能是微不足道的。在地层中，相对于测量的属性几乎没有偏差。理想情况下，为了防止可能的偏差，建议选择随机数字拨号作为选择具有代表性的基于人口的样本的首选方法。中华流行病学杂志[J]; 2009; 35(5): 397 - 397。
Young adult blacks and whites aged 18–30 years of both low and high educational levels were recruited through random digit dialing to participate in the Chicago, Illinois, portion of a longitudinal study, Coronary Artery Risk Development in Young Adults (CARDIA). Overall, 31 % of randomly selected persons eligible to participate had unlisted telephone numbers—about 50% of black men and women and 11% and 17% of white men and women, respectively. There was no difference in proportions of numbers unlisted by educational level, except for white men, who were more likely to have unlisted numbers at a low educational level than at a high educational level. There was no consistent pattern of differences in rates of participation across race, sex, or education subgroups for unlisted and listed numbers, and there were no significant differences for selected health measures, except smoking. The findings suggest that in Chicago, there is a potential bias in estimates of sociodemographic characteristics from the exclusion of unlisted numbers, but it is likely to be insignificant if recruitment is stratified according to race, sex, and education. Within strata, there was little bias with respect to the attributes measured. Ideally, to guard against possible bias, random digit dialing is recommended as the preferred way to select a representative population-based sample.Am J Epidemiol1992;135:697–709.