TY - JOUR
T1 - Sources of variability in prevalence rates of alzheimer's disease
AU - Corrada, Maria
AU - Brookmeyer, Ronald
AU - Kawas, Claudia
N1 - Funding Information:
ACKNOWLEDGEMENTS This project was supported in part by grants AGO8325 and AGO5146 from the National Institutes of Health. We wish to thank Dr Pamela Talalay for her editorial guidance.
PY - 1995/10
Y1 - 1995/10
N2 - Background: To investigate potential methodological reasons for the differences in published Alzheimer's disease (AD) prevalence rates. Methods: Studies reporting prevalence rates of AD have been published worldwide. These rates differ considerably, but may greatly reflect methodological differences. Results: All studies published between 1984 and 1993 that reported age-specific AD rates and sample sizes were included. Logistic regression identified variables that contribute to the variation in rates. Estimates of extrabinomial variation were also calculated. Conclusions: Studies characterized by the following features yielded significantly higher rates: inclusion of mild cases, use of laboratory studies, ascertainment of a sample rather than the total population, inclusion of both urban and rural populations, non-use of computerized tomography (CT) scans, non-use of the Hachinski Ischemic Score, and no adjustment for false negatives. The odds of having AD increased 18% for every year of age. The variation in the age-specific prevalence rates of AD was approximately 15 times that expected by sampling variation. However, approximately 76% of this excess variation in rates could be accounted for by methodological differences.Conclusions. After accounting for age, much of the variability in prevalence rates of AD in the published literature may be explained by differences in methodology. Some unexplained variation in prevalence rates, however, still remains.
AB - Background: To investigate potential methodological reasons for the differences in published Alzheimer's disease (AD) prevalence rates. Methods: Studies reporting prevalence rates of AD have been published worldwide. These rates differ considerably, but may greatly reflect methodological differences. Results: All studies published between 1984 and 1993 that reported age-specific AD rates and sample sizes were included. Logistic regression identified variables that contribute to the variation in rates. Estimates of extrabinomial variation were also calculated. Conclusions: Studies characterized by the following features yielded significantly higher rates: inclusion of mild cases, use of laboratory studies, ascertainment of a sample rather than the total population, inclusion of both urban and rural populations, non-use of computerized tomography (CT) scans, non-use of the Hachinski Ischemic Score, and no adjustment for false negatives. The odds of having AD increased 18% for every year of age. The variation in the age-specific prevalence rates of AD was approximately 15 times that expected by sampling variation. However, approximately 76% of this excess variation in rates could be accounted for by methodological differences.Conclusions. After accounting for age, much of the variability in prevalence rates of AD in the published literature may be explained by differences in methodology. Some unexplained variation in prevalence rates, however, still remains.
KW - Alzheimer's disease
KW - Epidemiology
KW - Prevalence
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U2 - 10.1093/ije/24.5.1000
DO - 10.1093/ije/24.5.1000
M3 - Article
C2 - 8557432
AN - SCOPUS:0028867459
SN - 0300-5771
VL - 24
SP - 1000
EP - 1005
JO - International journal of epidemiology
JF - International journal of epidemiology
IS - 5
ER -