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Titolo:
Driver's license and voter registration lists as population-based samplingframes for rural African Americans
Autore:
Adimora, AA; Schoenbach, VJ; Martinson, FEA; Stancil, TR; Donaldson, KH;
Indirizzi:
Univ N Carolina, Sch Med, Div Infect Dis, Dept Med, Chapel Hill, NC 27599 USA Univ N Carolina Chapel Hill NC USA 27599 t Med, Chapel Hill, NC 27599 USA Univ N Carolina, Sch Publ Hlth, Dept Epidemiol, Chapel Hill, NC 27599 USA Univ N Carolina Chapel Hill NC USA 27599 emiol, Chapel Hill, NC 27599 USA
Titolo Testata:
ANNALS OF EPIDEMIOLOGY
fascicolo: 6, volume: 11, anno: 2001,
pagine: 385 - 388
SICI:
1047-2797(200108)11:6<385:DLAVRL>2.0.ZU;2-M
Fonte:
ISI
Lingua:
ENG
Soggetto:
BREAST-CANCER RISK; UNITED-STATES; WHITE WOMEN; CONSUMPTION; AGE;
Keywords:
African Americans; sampling frame; rural;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
20
Recensione:
Indirizzi per estratti:
Indirizzo: Adimora, AA Univ N Carolina, Sch Med, Div Infect Dis, Dept Med, 547 Burnett Womack,CB 7030, Chapel Hill, NC 27599 USA Univ N Carolina 547 Burnett Womack,CB 7030 Chapel Hill NC USA 27599
Citazione:
A.A. Adimora et al., "Driver's license and voter registration lists as population-based samplingframes for rural African Americans", ANN EPIDEMI, 11(6), 2001, pp. 385-388

Abstract

PURPOSE: To compare coverage of a state driver's license list and county voter registration lists as frames for sampling rural African Americans. METHODS: Name, birth date, sex, and county were extracted from records forall 18-59 year-old African Americans residing in eight rural North Carolina counties and listed in the North Carolina Driver license file [obtained as a SAS dataset from the University of North Carolina (UNC) Highway Safety Research Center] and in machine-readable text files of registered voters (obtained from county boards of elections). Files were edited, merged, and matched by last name and date of birth to produce three files for each five-year age group, sex, and county: 1) persons listed only in the driver's file; 2) persons listed only in the voter's file; and 3) persons listed in both. RESULTS: The median percentages of unique persons found only on the driver's list, only on the voter's list, and on both lists were 54%, 17%, and 30%men, and 35%, 25%, and 41% women, respectively. CONCLUSIONS: The driver's list provided better coverage than did voter registration lists. Federal legislation that prohibits states from releasing driver's license lists for use in surveys removes a valuable resource for population-based research. (C) 2001 Elsevier Science Inc. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 27/01/20 alle ore 07:22:48