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Estimation of the multiple sclerosis risk in population living on contaminated territories after the Chornobyl catastrophe
O. O. Kolosynska
State Institution “National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine”, Melnykov str., 53, Kyiv, 04050, Ukraine
Multiple sclerosis (MS) is one of the most socially important and challenging issues in a today's neuroscience. There are estimated to be over 20,000 such patients in Ukraine of which at least 2.5 thousand being the Chornobyl accident survivors. All of them require substantial direct state and indirect expenses for their care and maintenance.
Objective. To estimate and calculate the risk values of MS in population living in contaminated areas after the Chornobyl accident compared to other population groups.
Materials and methods. Data provided by the State institution “Centre for Medical Statistics Ministry of Health of Ukraine” and data set from the specialized medical publications were the primary sources of information about the incidence of MS in different regions of Ukraine. Statistical and analytical research methods were applied. Calculation of the MS risk was performed according to the method of R. Fletcher et al.
Results. The MS risk estimation and calculations of parameters were made for population of areas contaminated after the Chornobyl accident compared to other population groups. Relative risk, additional risk and population risk values of the MS morbidity appeared being higher among the population under the impact of risk factors such as living in areas of contamination than in patients without no impact of unfavorable factors in the same area.
Conclusion. Received results point to the need of in$depth study of problem with the purpose of development and application of medical and organizational arrangements focused on the health care optimization for specified population.
Key words: relative risk, additional risk, population risk, multiple sclerosis, Chornobyl accident survivors.
Problems of radiation medicine and radiobiology. 2013;18:82–88.
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