To analyze the prevalence of cannabinoid dependence (hashishism) in the Siberian region in the etno-territorial context.
Based on the statistical results, we analyzed the dynamics of prevalence of hashish addiction in some Siberian territories in 1999-2006.
The dynamics of the indicators studied differ significantly, with some differences being in opposite directions. The following variants of these changes (trends) were specified: linear, logarithmic, polynominal and a trend that reflected the degree of changes (degree trend). Territories attributed to the linear variant are characterized by the relatively lower prevalence of hashishism, accelerated or slowed down changes are noted for the logarithmic variant, the instability of indicators is characteristic of the polynomial variant and the high degree of the prevalence of cannabinoid dependence is the main feature of the "degree trend".
Despite the differences between territories, the number of registered patients in whole is an equipotential variable, typical for a distinct territory, without any trend toward the dramatic changes.
When multifactorial processes are analyzed, it is most rational to use the methods of multidimensional statistical analysis, including the major components methods. This method is rather new in epidemiological surveys. Its advantage is that it may be used to get information that is difficult derived by other ways. Noteworthy is the versatility of the method, which lies in that the problems of analysis, prediction, and classification (stratification) of temporal series are solved by using actually the same techniques. How to apply the major components method are considered by using an example of investigating the general trends in the development of an epidemic tuberculous process in a specific area. Statistical data on tuberculosis morbidity in the areas of the Novosibirsk Region were employed as the initial material.