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1.
Probl Radiac Med Radiobiol ; 28: 404-415, 2023 Dec.
Article En, Uk | MEDLINE | ID: mdl-38155136

OBJECTIVE: to conduct a comparative analysis of the incidence of malignant oncohematological diseases structure among the population of the 4 most ecologically disadvantaged cities of the Dnipropetrovsk region, taking into account the possible influence of various adverse environmental factors (radiation and chemical pollution of air, water and soil) for the period 2006-2017. MATERIALS AND METHODS: 1948 cases of acute myeloblastic and lymphoblastic leukemia, chronic myeloid and lymphocytic leukemia in residents of 4 cities of the Dnipropetrovsk region were analyzed, taking into account the possible influence of adverse environmental factors (radiation, air pollution, etc.). We used clinical and hematological data per patient and statistic information on these diseasis incidence in the region. RESULTS: An analysis of the oncohematological patients incidence structure, namely: acute lymphoblastic (C91.0) and myeloblastic leukemia (C92.0), chronic lymphocytic (C91.1) and myeloid (C92.1) leukemia, over 12 years in environmentally disadvantaged cities of Dnipropetrovsk region have been conducted. A comparative analysis of the incidence of these diseases among the population of 4 cities of the Dnipropetrovsk region was carried out, taking into account the possible influence of adverse environmental factors (radiation, air pollution, etc.). An excess of the incidence rates of the above-mentioned oncohematological diseases for the period 2006-2017 was revealed in the cities of Dnipro, Kryvyi Rih, Kamianske and Zhovti Vody, where environmental factors significantly affect the increase in morbidity due to pollution mainly by radioactive and chemical substances.


Leukemia, Myeloid , Precursor Cell Lymphoblastic Leukemia-Lymphoma , Humans , Incidence , Leukemia, Myeloid/epidemiology , Morbidity , Environmental Pollution/adverse effects , Precursor Cell Lymphoblastic Leukemia-Lymphoma/epidemiology , Precursor Cell Lymphoblastic Leukemia-Lymphoma/etiology
2.
Probl Radiac Med Radiobiol ; 24: 169-179, 2019 Dec.
Article En, Uk | MEDLINE | ID: mdl-31841465

OBJECTIVE: To conduct a comparative analysis of the incidence of MM in the population of the Dnipropetrovsk region, taking into account the possible impact of various adverse environmental factors (air, water and soil con- tamination). MATERIALS AND METHODS: Epidemiological indicators of multiple myeloma (MM) morbidity in the 12-year observation period from 2006 to 2017 are analyzed in polluted and conventionally clean areas of the Dnipropetrovsk region. RESULTS: In assessing the dynamics of morbidity in MM for years 2006-2017 there was an increase in the incidence in 2011, 2015 and quite stable indicators for 2006-2010. The analysis of morbidity in the industrial cities of the region showed consistently high rates for the entire period of observation. A marked increase in the incidence rate in the Zhovti Vody (2007, 2012, 2016), Nikopol (2016), Novomoskovsk (2016), Marganets (2008, 2009 and 2017), Pokrov (2016, 2017) from 4.35 to 6.25 was noted. This may indicate a fluctuation in the incidence of MM in sepa- rate large cities of Dnipropetrovsk. The analysis of the dynamics of morbidity in the most polluted cities showed a clear increase in the number of cases in the MM in Zhovti Vody, which is characterized by radiation pollution. According to the average annual morbidity rate among cities of Dnipropetrovsk region, Pokrov takes the first place, the second - Zhovti Vody. CONCLUSIONS: The obtained data testify to the fluctuation in the incidence of MM in the Dnipropetrovsk region during the period 2006-2017 and the negative environmental factors clearly affect the growth of morbidity in large industrialized cities contaminated with radioactive and chemical substances.


Environmental Monitoring/methods , Environmental Pollutants/analysis , Multiple Myeloma/epidemiology , Radioactive Pollutants/analysis , Humans , Incidence , Morbidity/trends , Rural Population/statistics & numerical data , Ukraine/epidemiology , Urban Population/statistics & numerical data
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