37 research outputs found
Π ΠΎΠ»Ρ ΠΈ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΡΡΠΈΠ½Π΄ΡΡΡΡΠΈΠΈ ΠΊΡΡΠΌΡΠΊΠΎΠ³ΠΎ ΡΠ΅Π³ΠΈΠΎΠ½Π° Π½Π° ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ
Purpose: the aim of the article is the role and influence of tourism on the development of the economy at all levels of the economic system (example: Republic of Crimea). The article considers the methodology for analyzing the indices of social and economic growth in the branch of the Republic of Crimea. The role and influence of tourism on the economy is considered. Tasks of the article: analysis of the works of foreign and domestic scientists on the role and influence of tourism on the development of the economy; to conduct an analysis of the sectoral structure of the gross value added of the Russian Federation; describe the growth of socio-economic indicators; identify the stages of the methodology for analyzing the indicators of the social and economic growth of the tourist industry; to give an analysis of indicators characterizing the socioeconomic growth of the tourist industry of the Republic of Crimea; construct the dependence of the amount of declared amounts of investment projects on the number of tourists who visited the Republic of Crimea. Methods: the dialectical method of scientific cognition was applied in studying the role and influence of tourism on the development of the economy, calculation and analytical methods for monitoring, measuring, analyzing and comparing indicators that characterize the social and economic growth of the tourist industry of the Republic of Crimea. Results: in modern conditions, the development of the tourism sector, as a source of sustainable development of the state economy, acquires priority development. The tourism industry has a huge impact on the economy of the region, being the locomotive of the development of many other branches of management and providing non-raw budget receipts. The analysis of the works of foreign and domestic scientists makes it possible to talk about the integrated mechanism of the role and influence of tourism on the development of the economy at all levels of the economic system and, in general, the national economy of the country. Its essence is as follows: the gradual increase in the socio-economic standard of living of the country's population increases its needs for rest and leisure, which increases domestic and outbound tourist flows. The coefficient of determination RΒ² = 0.0191 showed that 1.91% of the variation of the "declared amount of investment projects, applications" is due to the variation in the sign "the number of tourists who visited the Republic of Crimea", and 98.09% of the variation is already associated with the impact of other factors not taken into account. Conclusions and Relevance: the spread of tourism is becoming a stimulating factor for the development of the tourism services sector: the tourism industry is growing in the budget, the number of employees in the tourism sector is growing. Increased investment in the tourism sector leads to the creation of tourist facilities and the development of tourism infrastructure, increases the attractiveness of the national sector of tourism services. This stimulates the growth of domestic and incoming tourist flows and ensures an increase in the country's socio-economic development. The social and economic growth of the sector as a whole is promoted by institutional support, developed state regulatory and legal regulation in the sphere of tourism, interaction of public-private partnerships, staffing, diversification of tourism products through the development of various types of tourism, thereby eliminating the reason for the seasonality of tourism enterprises and increasing income.Β Π¦Π΅Π»Ρ: Π¦Π΅Π»ΡΡ ΡΡΠ°ΡΡΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΠΎΠ»Ρ ΠΈ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΡΡΠΈΠ·ΠΌΠ° Π½Π° ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π½Π° Π²ΡΠ΅Ρ
ΡΡΠΎΠ²Π½ΡΡ
Ρ
ΠΎΠ·ΡΠΉΡΡΠ²ΡΡΡΠ΅ΠΉ ΡΠΈΡΡΠ΅ΠΌΡ (ΠΏΡΠΈΠΌΠ΅Ρ Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠ° ΠΡΡΠΌ). Π ΡΡΠ°ΡΡΠ΅ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Π° ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΠ° ΠΎΡΡΠ°ΡΠ»ΠΈ Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ ΠΡΡΠΌ. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΡΠΎΠ»Ρ ΠΈ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΡΡΠΈΠ·ΠΌΠ° Π½Π° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΡ, ΠΏΠΎΡΡΠ°Π²Π»Π΅Π½Ρ Π·Π°Π΄Π°ΡΠΈ: Π°Π½Π°Π»ΠΈΠ· ΡΠ°Π±ΠΎΡ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΡ
ΠΈ ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΡΡΠ΅Π½ΡΡ
ΠΎ ΡΠΎΠ»ΠΈ ΠΈ Π²Π»ΠΈΡΠ½ΠΈΠΈ ΡΡΡΠΈΠ·ΠΌΠ° Π½Π° ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ; Π°Π½Π°Π»ΠΈΠ· ΠΎΡΡΠ°ΡΠ»Π΅Π²ΠΎΠΉ ΡΡΡΡΠΊΡΡΡΡ Π²Π°Π»ΠΎΠ²ΠΎΠΉ Π΄ΠΎΠ±Π°Π²Π»Π΅Π½Π½ΠΎΠΉ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ; Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° ΡΠΎΡΡΠ° ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ; ΡΡΠ°ΠΏΡ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΠ° ΡΡΡΠΈΡΡΡΠΊΠΎΠΉ ΠΎΡΡΠ°ΡΠ»ΠΈ; Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ, Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΠΈΡ
ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠΎΡΡ ΡΡΡΠΈΡΡΡΠΊΠΎΠΉ ΠΎΡΡΠ°ΡΠ»ΠΈ Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ ΠΡΡΠΌ; ΠΏΠΎΡΡΡΠΎΠΈΡΡ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΡ ΠΎΠ±ΡΠ΅ΠΌΠ° Π·Π°ΡΠ²Π»Π΅Π½Π½ΡΡ
ΡΡΠΌΠΌ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΎΠ΅ΠΊΡΠΎΠ² ΠΎΡ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π° ΡΡΡΠΈΡΡΠΎΠ², ΠΏΠΎΡΠ΅ΡΠΈΠ²ΡΠΈΡ
Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΡ ΠΡΡΠΌ. ΠΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΡΠ°Π±ΠΎΡΡ: ΠΠΈΠ°Π»Π΅ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΌΠ΅ΡΠΎΠ΄ Π½Π°ΡΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ·Π½Π°Π½ΠΈΡ Π±ΡΠ» ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ ΠΏΡΠΈ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠΈ ΡΠΎΠ»ΠΈ ΠΈ Π²Π»ΠΈΡΠ½ΠΈΡ ΡΡΡΠΈΠ·ΠΌΠ° Π½Π° ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ, ΡΠ°ΡΡΠ΅ΡΠ½ΠΎ-Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ, ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ, Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ, Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΠΈΡ
ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠΎΡΡ ΡΡΡΠΈΡΡΡΠΊΠΎΠΉ ΠΎΡΡΠ°ΡΠ»ΠΈ Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ ΠΡΡΠΌ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΠ°Π±ΠΎΡΡ: Π ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΡΡΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ΅ΡΡ, ΠΊΠ°ΠΊ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠ° ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π°, ΠΏΡΠΈΠΎΠ±ΡΠ΅ΡΠ°Π΅Ρ ΠΏΡΠΈΠΎΡΠΈΡΠ΅ΡΠ½ΠΎΠ΅ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅. ΠΠ½Π΄ΡΡΡΡΠΈΡ ΡΡΡΠΈΠ·ΠΌΠ° ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ ΠΎΠ³ΡΠΎΠΌΠ½ΠΎΠ΅ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ Π½Π° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°, ΡΠ²Π»ΡΡΡΡ Π»ΠΎΠΊΠΎΠΌΠΎΡΠΈΠ²ΠΎΠΌ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²Π° Π΄ΡΡΠ³ΠΈΡ
ΠΎΡΡΠ°ΡΠ»Π΅ΠΉ Ρ
ΠΎΠ·ΡΠΉΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°ΡΡΠ°Ρ Π½Π΅ΡΡΡΡΠ΅Π²ΡΠ΅ ΠΏΠΎΡΡΡΠΏΠ»Π΅Π½ΠΈΡ Π±ΡΠ΄ΠΆΠ΅ΡΠ°. ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΡΠ°Π±ΠΎΡ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΡ
ΠΈ ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΡΡΠ΅Π½ΡΡ
ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Π³ΠΎΠ²ΠΎΡΠΈΡΡ ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠΌ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠ΅ ΡΠΎΠ»ΠΈ ΠΈ Π²Π»ΠΈΡΠ½ΠΈΡ ΡΡΡΠΈΠ·ΠΌΠ° Π½Π° ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π½Π° Π²ΡΠ΅Ρ
ΡΡΠΎΠ²Π½ΡΡ
Ρ
ΠΎΠ·ΡΠΉΡΡΠ²ΡΡΡΠ΅ΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΠΈ Π² ΡΠ΅Π»ΠΎΠΌ Π½Π°ΡΠΎΠ΄Π½ΠΎΠ³ΠΎ Ρ
ΠΎΠ·ΡΠΉΡΡΠ²Π° ΡΡΡΠ°Π½Ρ. ΠΠ³ΠΎ ΡΡΡΠ½ΠΎΡΡΡ Π·Π°ΠΊΠ»ΡΡΠ°Π΅ΡΡΡ Π² ΡΠ»Π΅Π΄ΡΡΡΠ΅ΠΌ: ΠΏΠΎΡΡΠ΅ΠΏΠ΅Π½Π½ΠΎΠ΅ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΡΠΎΠ²Π½Ρ ΠΆΠΈΠ·Π½ΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΡΡΠ°Π½Ρ ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°Π΅Ρ Π΅Π³ΠΎ ΠΏΠΎΡΡΠ΅Π±Π½ΠΎΡΡΠΈ Π² ΠΎΡΠ΄ΡΡ
Π΅ ΠΈ Π΄ΠΎΡΡΠ³Π΅, ΡΡΠΎ ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°Π΅Ρ Π²Π½ΡΡΡΠ΅Π½Π½ΠΈΠ΅ ΠΈ Π²ΡΠ΅Π·Π΄Π½ΡΠ΅ ΡΡΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΡΠΎΠΊΠΈ. ΠΠΎΡΡΡΠΈΡΠΈΠ΅Π½Ρ Π΄Π΅ΡΠ΅ΡΠΌΠΈΠ½Π°ΡΠΈΠΈ RΒ² = 0,0191 ΠΏΠΎΠΊΠ°Π·Π°Π», ΡΡΠΎ 1,91% Π²Π°ΡΠΈΠ°ΡΠΈΠΈ ΠΏΡΠΈΠ·Π½Π°ΠΊΠ° Β«Π·Π°ΡΠ²Π»Π΅Π½Π½Π°Ρ ΡΡΠΌΠΌΠ° ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΎΠ΅ΠΊΡΠΎΠ², Π·Π°ΡΠ²ΠΎΠΊΒ» ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½ΠΎ Π²Π°ΡΠΈΠ°ΡΠΈΠ΅ΠΉ ΠΏΡΠΈΠ·Π½Π°ΠΊΠ° Β«ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΡΡΡΠΈΡΡΠΎΠ², ΠΏΠΎΡΠ΅ΡΠΈΠ²ΡΠΈΡ
Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΡ ΠΡΡΠΌΒ», Π° 98,09% Π²Π°ΡΠΈΠ°ΡΠΈΠΈ ΡΠΆΠ΅ ΡΠ²ΡΠ·Π°Π½Ρ Ρ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ΠΌ Π΄ΡΡΠ³ΠΈΡ
Π½Π΅ΡΡΡΠ΅Π½Π½ΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ². ΠΡΠ²ΠΎΠ΄Ρ: Π Π°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΠ΅ ΡΡΡΠΈΠ·ΠΌΠ° ΡΡΠ°Π½ΠΎΠ²ΠΈΡΡΡ ΡΡΠΈΠΌΡΠ»ΠΈΡΡΡΡΠΈΠΌ ΡΠ°ΠΊΡΠΎΡΠΎΠΌ Π΄Π»Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅ΠΊΡΠΎΡΠ° ΡΡΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ»ΡΠ³: ΠΏΡΠΎΠΈΡΡ
ΠΎΠ΄ΠΈΡ ΡΠΎΡΡ Π²ΠΊΠ»Π°Π΄Π° ΡΡΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΡΠ°ΡΠ»ΠΈ Π² Π±ΡΠ΄ΠΆΠ΅Ρ, ΡΠ°ΡΡΠ΅Ρ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ Π·Π°Π½ΡΡΡΡ
Π² ΡΡΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΌ ΡΠ΅ΠΊΡΠΎΡΠ΅. Π ΠΎΡΡ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΉ Π² ΡΡΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠ΅ΠΊΡΠΎΡ Π²Π΅Π΄Π΅Ρ ΠΊ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΡΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ, ΠΏΠΎΠ²ΡΡΠ°Π΅Ρ ΠΏΡΠΈΠ²Π»Π΅ΠΊΠ°ΡΠ΅Π»ΡΠ½ΠΎΡΡΡ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΠΊΡΠΎΡΠ° ΡΡΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ»ΡΠ³. ΠΡΠΎ ΡΡΠΈΠΌΡΠ»ΠΈΡΡΠ΅Ρ ΡΠΎΡΡ Π²Π½ΡΡΡΠ΅Π½Π½ΠΈΡ
ΠΈ Π²ΡΠ΅Π·Π΄Π½ΡΡ
ΡΡΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΡΠΎΠΊΠΎΠ² ΠΈ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π΅Ρ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΡΠ°Π½Ρ. Π‘ΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΌΡ ΡΠΎΡΡΡ ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΠΎΠΉ ΠΎΡΡΠ°ΡΠ»ΠΈ Π² ΡΠ΅Π»ΠΎΠΌ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΠ΅Ρ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ΅ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΠ΅, ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΠΎΠ΅ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠ΅ Π½ΠΎΡΠΌΠ°ΡΠΈΠ²Π½ΠΎ-ΠΏΡΠ°Π²ΠΎΠ²ΠΎΠ΅ ΡΠ΅Π³ΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π² ΡΡΠ΅ΡΠ΅ ΡΡΡΠΈΠ·ΠΌΠ°, Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎ-ΡΠ°ΡΡΠ½ΠΎΠ³ΠΎ ΠΏΠ°ΡΡΠ½Π΅ΡΡΡΠ²Π°, ΠΊΠ°Π΄ΡΠΎΠ²ΠΎΠ΅ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΠ΅, Π΄ΠΈΠ²Π΅ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΡΡΡΠΈΡΡΡΠΊΠΈΡ
ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ² ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π²ΠΈΠ΄ΠΎΠ² ΡΡΡΠΈΠ·ΠΌΠ°, ΡΠ΅ΠΌ ΡΠ°ΠΌΡΠΌ ΡΡΡΡΠ°Π½ΡΡ ΠΏΡΠΈΡΠΈΠ½Ρ ΡΠ΅Π·ΠΎΠ½Π½ΠΎΡΡΠΈ ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ ΡΡΡΠΈΠ·ΠΌΠ° ΠΈ ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°Ρ Π΄ΠΎΡ
ΠΎΠ΄.
Clinical and epidemiological features of acute intestinal infections in children in Arkhangelsk for 2015-2018
In recent years, there is increasing evidence of the significant role of the intestinal microbiome in the normal functioning of the whole body. The composition of the intestinal microflora affects the human immune system, and its metabolic processes, and even behavior. Therefore, maintaining an optimal balance in the structure of a normal gut microbiome is very important for human health. But the high prevalence of acute intestinal infections(AII) suggests that this balance is very fragile. The diversity of the causes of the All and the greater their specific gravity to determine the practical value of the clinical-epidemiological diagnosis, and was the basis for conducting our study. The aim of our work was to identify clinical and epidemiological features of acute intestinal infections in children of the Arkhangelsk region. We have evaluated the indicators of children's morbidity of acute intestinal infections in the Arkhangelsk region, as well as a retrospective clinical and epidemiological analysis in 143 children who underwent acute intestinal infections in 2015-2018 and hospitalized in the Center for infectious diseases of the Arkhangelsk regional clinical hospital. There is a high proportion of intestinal infections of unknown etiology (55.9%). Viral infections (mainly due to rotavirus gastroenteritis) prevail in the structure of All with established etiology. Among bacterial All met salmonellosis, shigellosis and campylobacteriosis.Π ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ Π³ΠΎΠ΄Ρ ΠΏΠΎΡΠ²Π»ΡΠ΅ΡΡΡ Π²ΡΡ Π±ΠΎΠ»ΡΡΠ΅ Π΄Π°Π½Π½ΡΡ
ΠΎ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΠΎΠ»ΠΈ ΠΊΠΈΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΠΌΠ° Π² Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΠΎΠΌ ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ Π²ΡΠ΅Π³ΠΎ ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠ°. Π‘ΠΎΡΡΠ°Π² ΠΊΠΈΡΠ΅ΡΠ½ΠΎΠΉ ΠΌΠΈΠΊΡΠΎΡΠ»ΠΎΡΡ Π²Π»ΠΈΡΠ΅Ρ ΠΈ Π½Π° ΠΈΠΌΠΌΡΠ½Π½ΡΡ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°, ΠΈ Π½Π° Π΅Π³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π½ΡΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΡ, ΠΈ Π΄Π°ΠΆΠ΅ Π½Π° ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅. ΠΠΎΡΡΠΎΠΌΡ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π±Π°Π»Π°Π½ΡΠ° Π² ΡΡΡΡΠΊΡΡΡΠ΅ Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΠΌΠ° ΠΊΠΈΡΠ΅ΡΠ½ΠΈΠΊΠ° ΠΎΡΠ΅Π½Ρ Π²Π°ΠΆΠ½ΠΎ Π΄Π»Ρ Π·Π΄ΠΎΡΠΎΠ²ΡΡ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°. ΠΠΎ Π²ΡΡΠΎΠΊΠ°Ρ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½ΡΠ½Π½ΠΎΡΡΡ ΠΎΡΡΡΡΡ
ΠΊΠΈΡΠ΅ΡΠ½ΡΡ
ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ (ΠΠΠ) Π³ΠΎΠ²ΠΎΡΠΈΡ ΠΎ ΡΠΎΠΌ, ΡΡΠΎ Π±Π°Π»Π°Π½Ρ ΡΡΠΎΡ ΠΎΡΠ΅Π½Ρ Ρ
ΡΡΠΏΠΎΠΊ. ΠΠ½ΠΎΠ³ΠΎΠΎΠ±ΡΠ°Π·ΠΈΠ΅ ΠΏΡΠΈΡΠΈΠ½ ΠΠΠ ΠΈ Π±ΠΎΠ»ΡΡΠΎΠΉ ΠΈΡ
ΡΠ΄Π΅Π»ΡΠ½ΡΠΉ Π²Π΅Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ, Π²ΡΠ΅ ΡΡΠΎ ΠΈ ΡΠ²ΠΈΠ»ΠΎΡΡ ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π΄Π»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Π½Π°ΡΠ΅Π³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. Π¦Π΅Π»ΡΡ Π½Π°ΡΠ΅ΠΉ ΡΠ°Π±ΠΎΡΡ ΡΡΠ°Π»ΠΎ Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ ΠΎΡΡΡΡΡ
ΠΊΠΈΡΠ΅ΡΠ½ΡΡ
ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ Ρ Π΄Π΅ΡΠ΅ΠΉ ΠΡΡ
Π°Π½Π³Π΅Π»ΡΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ. ΠΠ°ΠΌΠΈ Π±ΡΠ»Π° ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π° ΠΎΡΠ΅Π½ΠΊΠ° ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Π΄Π΅ΡΡΠΊΠΎΠΉ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ ΠΎΡΡΡΡΠΌΠΈ ΠΊΠΈΡΠ΅ΡΠ½ΡΠΌΠΈ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΡΠΌΠΈ Π² ΠΡΡ
Π°Π½Π³Π΅Π»ΡΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΠΉ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· Ρ 143 Π΄Π΅ΡΠ΅ΠΉ, ΠΏΠ΅ΡΠ΅Π½Π΅ΡΡΠΈΡ
ΠΎΡΡΡΡΠ΅ ΠΊΠΈΡΠ΅ΡΠ½ΡΠ΅ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ Π² 2015-2018 Π³Π³. ΠΈ Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π² Π¦Π΅Π½ΡΡ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΎΠ½Π½ΡΡ
Π±ΠΎΠ»Π΅Π·Π½Π΅ΠΉ ΠΡΡ
Π°Π½Π³Π΅Π»ΡΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠ½ΠΎΠΉ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±ΠΎΠ»ΡΠ½ΠΈΡΡ. ΠΡΠΌΠ΅ΡΠ°Π΅ΡΡΡ Π²ΡΡΠΎΠΊΠΈΠΉ ΡΠ΄Π΅Π»ΡΠ½ΡΠΉ Π²Π΅Ρ ΠΊΠΈΡΠ΅ΡΠ½ΡΡ
ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ Π½Π΅ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π½ΠΎΠΉ ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ (55,9%). Π ΡΡΡΡΠΊΡΡΡΠ΅ ΠΠΠ Ρ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π½ΠΎΠΉ ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΠ΅ΠΉ ΠΏΡΠ΅Π²Π°Π»ΠΈΡΡΡΡ Π²ΠΈΡΡΡΠ½ΡΠ΅ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ (Π² ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠΌ, Π·Π° ΡΡΡΡ ΡΠΎΡΠ°Π²ΠΈΡΡΡΠ½ΠΎΠ³ΠΎ Π³Π°ΡΡΡΠΎΡΠ½ΡΠ΅ΡΠΈΡΠ°). Π‘ΡΠ΅Π΄ΠΈ Π±Π°ΠΊΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ
ΠΠΠ Π²ΡΡΡΠ΅ΡΠ°Π»ΠΈΡΡ ΡΠ°Π»ΡΠΌΠΎΠ½Π΅Π»Π»ΡΠ·, Π΄ΠΈΠ·Π΅Π½ΡΠ΅ΡΠΈΡ ΠΈ ΠΊΠ°ΠΌΠΏΠΈΠ»ΠΎΠ±Π°ΠΊΡΠ΅ΡΠΈΠΎΠ·
Association of COMT gene polymorphisms with Parkinson's disease
Parkinsonβs disease (PD) is one of the most serious and widespread neurodegenerative disorders. Genetic susceptibility plays a significant role in the development of PD.The aim of our study was to investigate associations between single nucleotide polymorphisms (SNPs) of the COMT gene coding dopamine catabolism enzyme and Parkinsonβs disease.Materials and methods. In this study seven SNPs (rs4680, rs6269, rs4633, rs4818, rs769224, rs165774, rs174696) of COMT were genotyped. 232 patients with PD and 127 healthy individuals in the Siberian region of Russia were examined. Venous blood samples were drawn as a marker of PD. Statistical differences in the prevalence of alleles and genotypes between groups of patients were assessed using IBM SPSS Statistics 23.1 software.Results. A significant association between the rs165774 polymorphism and PD was observed. Our study demonstrates that polymorphisms in the COMT gene may play an important role in the pathophysiology of Parkinsonβs disease
Association of polymorphism in the dopamine receptors and transporter genes with hyperprolactinemia in patients with schizophrenia
Background: Long-term antipsychotic drug use remains the mainstay of treatment for patients with schizophrenia. However, pharmacotherapy with these drugs is complicated by several troublesome side effects, including hyperprolactinemia (HP). Prolactin secretion is persistently inhibited by dopamine, and antipsychotic drugs are believed to increase prolactin release by blocking dopamine receptors in the pituitary gland. Genetic factors play an important role in the development of antipsychotic induced HP [1, 2]. Genes coding for dopamine receptors and transporters are considered to be responsible for HP in schizophrenia [3]. The present study aimed to investigate the role of polymorph-isms of the dopamine receptors and transporters genes (DRD1, DRD2, SLC6A3) in the pathogenesis of antipsychotic-related HP in patients with schizophrenia. Methods: 431 Russian patients with schizophrenia were examined. The average age of patients was 42.1 Β± 1.4 years. Evaluation of serum prolactin level was performed by ELISA using reagents set PRL Test System (USA). Genotyping was carried out on 17 polymorphic variants of the dopamine receptors and transporters genes DRD1 (rs4532, rs936461), DRD2 (rs4245147, rs6279, rs2734842) and SLC6A3 (rs3756450, rs2550956, rs6347, rs2617605, rs3863145, rs250686, rs464049, rs4975646, rs1048953, rs11133767, rs27048, rs40184). The SPSS sof tware was used for statistical analysis. The Hardy-Weinberg equilibrium (HWE) of genotypic frequencies was tested by the chi-square test. Results: We studied the association between HP and a set of SNPs from DRD1, DRD2 receptor genes and neurotransmitter transporter SLC6A3 in patients from Siberia with a clinical diagnosis of schizophrenia who were treated with classical and/or atypical antipsychotic drugs. All patients with schizophrenia were divided into two groups: those with and without HP. Physiological normal results for the serum prolactin levels are less than 20 ng/ml in men, and less than 25 ng/ml in women. Statistically significant result was obtained for polymorphic variant rs2550956 of the gene SLC6A3 (Ο2 = 9.992; p = 0.007), which suggests its involvement in the development of HP. The heterozygous genotype TC of rs2550956 was significantly less common in patients with elevated levels of prolactin and it presumably has protective properties (OR 0.54; 95% CI: 0.36-0.81). We did not find any statistically significant associations for other polymorphisms DRD1 (rs4532, rs936461), DRD2 (rs4245147, rs6279, rs2734842) and SLC6A3 (rs3756450, rs6347, rs2617605, rs3863145, rs250686, rs464049, rs4975646, rs1048953, rs11133767, rs27048, rs40184). The group of dopamine receptors is heterogeneous and only some of them participate in the formation of psychotic symptoms and, accord ingly, in the antipsychotic action of neuroleptics. The effect of neuroleptics on other groups of dopamine receptors leads to the development of different side effects including extrapyramidal disorders [4], and their role is extremely low in the formation of the actual therapeutic response. Conclusion: Our results indicate that genetic variants of SLC6A3 may have functional consequences on the modulation of prolactin secretion. Neurotransmitter systems are involved in the mechanisms of action of antipsychotic drugs; therefore, a further search for genetic markers associated with the development of antipsychotic-related hyperprolactinemia in schizophrenic patients is needed
The risk prediction of development of neuroleptic hyperprolactinemia based on genetic markers
Background: The main method to treatment of schizophrenia is long-term antipsychotic therapy, which not only improves the long-term prognosis of the disease and facilitates its transition to remission, but unfortunately also has a wide range of side effects such as hyperprolactinemia (HP) [1,2]. The main goal of pharmacogenetics is the search for predictors of response to therapy, as well as determining the probability of developing side effects [3]. The target genes of the clinical effects of antipsychotic drugs are genes determining activity of neurotransmitter systems and genes of biotransformation of xenobiotics. The present study aimed to investigate the most significant socio-demographic, clinical and genetic indicators that significantly contribute to the development of HP. Methods: Four hundred and forty-six Russian patients with schizophrenia were examined. The average age of patients was 41.5 Β± 13.4 years. Clinical symptomatology was assessed with Positive and Negative Syndrome Scale (PANSS), the Clinical Global Impression (CGI) scale, the scale of side effect assessment (UKU). Evaluation of serum prolactin level was performed by ELISA using reagents set PRL of Test System (USA). Regression analysis was performed with HP as a dependent dichotomous variable and polymorphisms as factors. After calculation of the regression model was performed mixed discriminant analysis followed by cross-valuation for the selected predictors. For the final model sensitivity, specificity, AUC (Area Under Curve), positive and negative predictive values were calculated. Results: We studied 88 neurotransmitter polymorphic genes variants including HTR2C, HTR3A, HTR3B, HTR6, HTR2A, HTR1A, HTR1B, DRD1, DRD2, DRD2/ANKK1, DRD3, DRD4, SLC6A3, SLC6A2, COMT and genes of biotransformation of xenobiotics CYP1A2*1F, CYP2D6*3, CYP2D6*4, CYP2C19*3, CYP2C19*17, CYP2C19*2, GSTP1. In patients without HP, the average level of the hormone was 12.9 [8.12; 16.85] ng/ml, and in patients with HP: 49.66 [32.47; 76.39] ng/ml. In the analysis of the distribution of patients by sex, the prevalence of patients of female gender was revealed in the group with HP (63.8%), and in the group without HP male sex was most prevalent (70.0%). This indicates that the female gender is a factor determining vulnerability regarding the development of this side effect on the background of antipsychotic therapy (p = 0.006). Based on the results of a pharmacogenetic research a molecular-genetic panel for the development of neuroendocrine side effects of antipsychotic therapy in patients with schizophrenia was developed, which includes both genetic variants and as other signs: age, sex, daily average antipsychotics doses (expressed in chlorpromazine equivalents), ``rs1176744β (HTR3B), ``rs10042486β (HTR1A), ``rs936461β (DRD4), ``rs134655" (DRD2), ``rs179997β (ATXN1), ``rs1076562β (DRD2), ``rs3773678β (DRD3), ``rs167771β (DRD3), ``rs1587756β (DRD3), ``rs3892097β (CYP2D6*4), ``rs1341239β (PRL), ``rs4975646β (SLC6A3), ``rs13333066β (SLC6A2). Conclusion: This molecular-genetic panel can be used to predict the risk of developing HP even before the start of treatment of patients with schizophrenia for purposeful individual therapeutic treatment in this category of patients. Work has been done with support of the Russian Science Foundation (project no. 14-35-00023) Acknowledgement: Work has been done with support of the Russian Science Foundation (project no. 14-35-00023