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This finding is at odds with other studies [ 16, 25] and may be due to the different methods of data collection resulting in different prevalence estimates or the differences in settings of care.
Using differences models for defining LSMDs will, of course, inevitably result in different prevalence findings.
Different self-reporting questionnaires may result in different prevalence values.
Defining LSI using a statistical model other than the Gaussian definition used here may result in different prevalence rates.
Cultural and perceptions factors (such as perceived efficacy of prevention means) would also result in different prevalence of behavioral responses.
Thus, it is very likely that clinical tests [ 31], self-reporting by patients [ 13, 43], or the dentists' assessment [ 15] result in different prevalence values for the same sample.
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This approach is termed "cross-population contrast mapping" based on the hypothesis that important biological mechanisms underlying a disease of interest are shared by various human populations, although differences in allele frequencies at risk loci could result in different prevalences in different populations [53].
A differential misclassification might result in different prevalences of overweight or obesity.
In most cases, each projection scenario resulted in substantially different prevalence projections.
Other studies have also shown that different formal definitions of IBS result in very different prevalence rates for the disorder [ 3- 5].
Estimates of variance components in the different prevalence groups were similar to those reported by van Hulzen et al. [ 39], using a linear model, with the exception of the very high prevalence environment.
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