Hospital Versus Random Digit Dialing Controls in the Elderly Observations from Two Case-control Studies

1988 ◽  
Vol 36 (2) ◽  
pp. 119-123 ◽  
Author(s):  
Susan J. Robertson ◽  
Seymour Grufferman ◽  
Harvey J. Cohen
1992 ◽  
Vol 135 (2) ◽  
pp. 210-222 ◽  
Author(s):  
Sara H. Olson ◽  
Jennifer L. Kelsey ◽  
Thomas A. Pearson ◽  
Bruce Levin

2010 ◽  
Vol 173 (1) ◽  
pp. 118-126 ◽  
Author(s):  
L. F. Voigt ◽  
S. M. Schwartz ◽  
D. R. Doody ◽  
S. C. Lee ◽  
C. I. Li

1990 ◽  
Vol 132 (supp1) ◽  
pp. 144-155 ◽  
Author(s):  
SCOTT DAVIS ◽  
ANDREW ROSS ◽  
LYNDA F. VOIGT ◽  
LINDA HEUSER

Abstract Random digit dialing is a method commonly used to select random population samples in epidemiologic research. Although random digit dialing is generally presumed to provide representative samples, coverage and nonresponse errors may affect the degree to which the sample is representative. The present investigation was undertaken to determine whether the geographic distributions of samples selected using variations of the basic random digit dialing technique accurately reflect the underlying population distribution, and if not, whether such samples tend to be either more or less dispersed than the populations from which they were selected. Data regarding control groups from three case-control studies conducted from 1983–1986 were utilized. The residence addresses of 998 controls were located and assigned an X-Y coordinate and census tract designation within a three-county geographic area in northwest Washington State. Initially, the spatial distributions of controls were examined graphically in relation to the age-sex structure of the underlying population. No differences in geographic pattern were apparent A more formal statistical evaluation was conducted based on centrographic techniques utilizing two measures to describe the spatial distribution of a set of points. Results indicate that the samples chosen were neither more nor less dispersed than the underlying populations. However, the geographic centers of samples selected using primary numbers tended to be shifted from the centers of their respective populations. Several possible explanations for such shifts are considered, and extensions of the analytical approach are suggested in relation to the further evaluation of population sampling and the investigation of space-time aggregations of disease.


2005 ◽  
Vol 133 (3) ◽  
pp. 439-447 ◽  
Author(s):  
D. D. FERGUSON ◽  
J. SCHEFTEL ◽  
A. CRONQUIST ◽  
K. SMITH ◽  
A. WOO-MING ◽  
...  

Escherichia coli O157 outbreaks were identified in Minnesota in February 2003 involving seven persons and in Colorado in July 2003 involving 13 persons. Case isolates from the two states had matching pulsed-field gel electrophoresis (PFGE) patterns. Independent case-control studies linked infections in each outbreak with eating alfalfa sprouts that were traced to the same seed distributor. The Colorado sprouter reportedly complied with the Food and Drug Administration (FDA) sprout guidance, whereas the Minnesota sprouter did not. These investigations revealed that increased compliance with existing FDA guidance is needed and that additional research is needed to improve the alfalfa seed decontamination process. This reaffirms the FDA recommendation that raw alfalfa sprouts should be considered potentially contaminated and avoided by persons at high-risk such as the elderly, young children, and immunocompromised persons. PFGE played an essential role in linking these two temporally and geographically distinct E. coli O157 outbreaks.


2011 ◽  
Vol 107 (1) ◽  
pp. 7-19 ◽  
Author(s):  
Martin Loef ◽  
Harald Walach

Fe and Cu could represent dietary risk factors for Alzheimer's disease (AD), which has become a global health concern. To establish the relationship between diets high in Cu and Fe and cognitive decline or AD, we have conducted a systematic review of the literature (up to January 2011). We identified two meta-analyses, two systematic reviews, eleven placebo-controlled trials, five observational studies, forty-five case–control studies, thirty autopsy and five uncontrolled studies, and one case report. There were eleven interventional trials that tried to either supplement or deplete Fe and Cu, but none of them provided clear evidence of a beneficial effect on cognitive performance in patients with AD. The prospective studies revealed an association between a diet simultaneously high in SFA and Cu and cognitive decline. Case–control and autopsy studies showed elevated Fe levels in the brains of AD patients, whereas the evidence was less consistent for Cu. In most of the studies, Cu concentrations were unchanged in the cerebrospinal fluid and the brain but increased in the serum. In conclusion, the existing data suggest that diets excessive in Fe or Cu, together with a high intake of SFA, should be avoided in the elderly who are not at risk of anaemia. Basic studies and, building on this, clinical investigations are needed to further elucidate in which dietary patterns and in which patient groups an Fe- and Cu-rich diet might foster the risk of developing AD.


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