Problems of Social Hygiene, Public Health and History of MedicineProblems of Social Hygiene, Public Health and History of Medicine0869-866X2412-2106Joint-Stock Company Chicot160710.32687/0869-866X-2025-33-2-273-282НеопределенThe evaluation of efficiency of measures targeted to decreasing alcohol consumption by population in the Subjects of the Russian FederationOsmanovEsedulla Mallaalievichosmanov@bk.ruReshetnikovVladimir Anatolievichresh1960@mail.ruAkaevTemirlan Maratovichakaevtm@zdrav.mos.ruKhamzaevBiysultan Sultanbievichnot@provid.edTatarchenkoValeria Vladimirovnavill20061@yandex.ruIdrisovAhmed Adamovichidrisov.akhmed1@mail.ruThe Federal State Autonomous Educational Institution of Higher Education The I. M. Sechenov First Moscow State Medical University of Minzdrav of Russia (Sechenov University), 119991, Moscow, RussiaThe State Budget Institution “The Tambov Oblast Children Clinical Hospital”, 392000, Tambov, RussiaThe Federal State Autonomous Educational Institution of Higher Education “The I. M. Sechenov First Moscow State Medical University” of Minzdrav of Russia (Sechenov University), 119991, Moscow, RussiaThe State Budget Institution of Moscow “The Consultative Diagnostic Center № 2 of the Moscow Health Care Department”, 107564, Moscow, RussiaThe Federal State Budget Educational Institution of Higher Education “The Russian Presidential Academy of National Economy and Public Administration”, 119571, Moscow, RussiaThe Society with Limited Liability “The Clinic “City of Health””, 394036, Voronezh, RussiaFederal State Autonomous Educational Institution of Higher Education I. M. Sechenov, 119435, Moscow, Russia290420253321005202510052025Copyright © 2025,2025<p>The objective of the study is to assess degree of alcoholization in national regions in dynamics. The study provided analysis of efficiency of measures targeted to decrease alcohol consumption by population in the constituent entities of the Russian Federation based on dynamics of changes of integral indicator of The National Rating of Sobriety of the Subjects of the Russian Federation in 20162023.<br />The analysis of dynamics of integral indicator was carried out on the basis of data presented in the reports of like name for 20162023.<br />In 20162023, in 41 out of 85 Regions of the Russian Federation, decreasing of the integral indicator was established, while in 44 regions increasing of the integral indicator was detected. The three regions with the most significant increase of the integral indicator included the Republic of Ingushetia (increase in 2023 as compared to 2016 was 23.5% with average annual growth rate of 3.4%), the Altai Republic (increase of 20.6% and an average annual growth rate of 2.9%) and the Leningrad Oblast (increase of 19.5% and average annual growth rate of 2.7%). The regions with the largest decrease of the integrated indicator included the Lipetsk Oblast (decrease in 2023 as compared to 2016 was 20.9% with average annual decrease rate of 2.3%), the Tyumen Oblast (decrease 26.8% with an average annual decrease rate of 2.9%). The largest decrease of the indicator in 2023 as compared to 2016 was detected in the Krasnodar Krai 36.8%, with average annual decrease of 3.8%. The Subjects of the Russian Federation, depending on value of level of increase of the integrated indicator in 2023 as compared to 2016, are divided into four clusters. The first cluster included 23 regions with significant dynamics of the integral indicator decrease (from -36.8% up to -5.0%), the second cluster included 18 regions with insignificant dynamics of the integral indicator decrease (from -4.9% up to 0%), the third cluster included 19 regions with insignificant dynamics of the integral indicator increase (from 0% up to 4.9%) and the fourth cluster included 25 regions with significant dynamics of the integral indicator increase (from 5.0% up to 23.5%).<br />Despite the successful anti-alcohol policy in the Russian Federation, some regions require systemic measures targeted to change patterns of alcohol consumption by population, with a preliminary analysis of factors determining the identified patterns. 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