Moscow University
Anthropology
Bulletin
Anthropology
Bulletin
1) Lomonosov Moscow State University, Faculty of Biology, Department of Plant Ecology and Geography, Leninskie Mount Street, 1, p. 12, Moscow, 119234, Russia; 2) Lomonosov Moscow State University, Faculty of Mechanics and Mathematics, Leninskie Mount Street, 1, Moscow, 119234, Russia
Budilova Elena V., PhD, DSc; ORCID ID: 0000-0003-0769-4570; evbudilova@mail.ru; Lagutin Michail B.; ORCID ID: 0000-0003-3778-4497; lagutinmb@mail.ru
Materials and methods. The study is based on analysis of Rosstat data on 84 subjects of the Russian Federation for 2016. The incidence rate disease in population was estimated using the number of patients (per 100,000 people) registered in medical organizations. The k-means method was to classify the subjects of the Russian Federation according to six socially significant diseases. The method of correlation analysis was used to investigate the relationship between the incidence of socially significant diseases and demographic, socio-economic, environmental and behavioral factors. Results. In cluster 1, the most prosperous and including 35 subjects of the Russian Federation from 8 federal districts, significant connections with the investigated factors were revealed for the incidence of cancer (7 factors, characterizing the age and sex structure of the population, share of urban population, as well as the volume of polluted wastewater discharged into surface water bodies), mental and behavioral disorders (8 factors: share of population over working age, share of urban population, ratio of marriages and divorces, volume of polluted wastewater, GRP and poverty rate), alcoholism and alcoholic psychoses (5 factors: population size, migration rate, ratio of marriages and divorces, vodka sales, emissions from mobile sources) and narcomania (6 factors: population size, share of urban population, migration rate, beer sales, emissions from mobile sources and wastewater volume). Moreover, each group of diseases has its own set of significant factors. Significant connections between the incidence of toxicomania and syphilis with the investigated factors were not identified. In cluster 2 (29 subjects of the Russian Federation) with an increased incidence of cancer and alcoholism and alcoholic psychosis, 4 significant factors were identified for the incidence of cancer (share of population over working age, share of children under 16, ratio of women to men, migration rate), and 4 significant factors for the incidence of alcoholism and alcoholic psychosis (population size, migration rate, emissions from stationary and mobile sources), but 3 of them are different. In cluster 3 (16 subjects of the Russian Federation) with a high incidence of narcomania and syphilis, significant factors were found only for the incidence of narcomania (6 factors: share of population over working age, share of children under 16, migration rate, housing provision, temperature range and emissions from stationary sources). Conclusion. Correlation analysis of the relationship between demographic, socioeconomic, ecological and behavioral factors and the studied groups of socially significant diseases showed that each of the clusters was characterized by its own set of factors that reliably determine regional differences in these groups of diseases.
cancer; mental and behavioral disorders; alcoholism and alcohol psychoses; substance abuse; syphilis; environmental factors
DOI: 10.32521/2074-8132.2021.2.087-101
Цит.: Budilova E.V., Lagutin M.B. Socially significant diseases in Russia: territorial clusters and factors // Moscow University Anthropology Bulletin (Vestnik Moskovskogo Universiteta. Seria XXIII. Antropologia), 2021; 2/2021; с. 87-101
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