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    Π“Π΅Π½Π΄Π΅Ρ€Π½Ρ‹Π΅ особСнности распространСнности повСдСнчСских Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² риска Ρƒ ΠΆΠΈΡ‚Π΅Π»Π΅ΠΉ Π‘Π°Π½ΠΊΡ‚-ΠŸΠ΅Ρ‚Π΅Ρ€Π±ΡƒΡ€Π³Π°

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    Background: In developed countries there are significant gender differences in lifetime expectancy that can be explained by behavioral risk factorsΒ (RF).Objective: The aim of our study was to estimate gender features of behavioral RF in general population of Saint-Petersburg, Russia.Methods:Β As a part of all-Russian epidemiology survey ESSE-RF a random sampling of 1600 Saint-Petersburg inhabitants (25-64 y.o.) stratified by age andΒ sex was performed. All participants filled in the questionnaire. Anthropometry (weight, height, body-mass index (BMI), waist circumference (WC))Β and fasting blood-tests (lipids, glucose by Abbott Architect 8000 (USA)) were performed.Results: There were examined 573 (36%) men and 1027Β (64%) women. No gender differences in obesity were found according to BMI criteria β€” in 178 (31.2%) women and 352 (35.1%) men. ObesityΒ was more often detected in females according to WC criteria: АВРIII β€” 44.1 vs 30.3%; IDF 51.2 vs 66.4% (p 0.001 for both). Linear regressionΒ analysis was performed and age was associated with BMI β€” 1.6 kg/m2/decade, WC in women β€” 5,2 cm/decade and WC in men β€” 2.8 cm/decade,Β Ρ€ 0.001 for all anthropometric parameters. Optimal level of physical activity was equally documented in both genders β€” 540 (61.2%) women andΒ 286 (58.9%) men. Daily intake of sweets was lower in men β€” 228 (39.8%) vs 539 (52.5%) in women (p 0.001). 810 (50,6%) of trial subjects wereΒ non-smokers, 395 (24,7%) were former smokers, and 395 (24,7%) were smokers at the moment of trial. The higher number of female smokersΒ was observed β€” 194 (19.1%).Conclusion: A high prevalence of obesity is observed in sample of Saint-Petersburg inhabitants β€” it is higher amongΒ women according to WC criteria regardless of menopause, possibly due to bigger sweets consumption. Males smoke more often and consume lessΒ fresh fruits and vegetables which is accompanied by a higher prevalence of hyperglycemia and hypertriglyceridemia.Π’ Ρ€Π°Π·Π²ΠΈΡ‚Ρ‹Ρ… странах ΠΎΡ‚ΠΌΠ΅Ρ‡Π°ΡŽΡ‚ΡΡ Π³Π΅Π½Π΄Π΅Ρ€Π½Ρ‹Π΅ различия Π² ΠΎΠΆΠΈΠ΄Π°Π΅ΠΌΠΎΠΉ ΠΏΡ€ΠΎΠ΄ΠΎΠ»ΠΆΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ ΠΆΠΈΠ·Π½ΠΈ, Ρ‡Ρ‚ΠΎ ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ объяснСно профилСм повСдСнчСских Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² риска.ЦСль исслСдования: ΠΈΠ·ΡƒΡ‡ΠΈΡ‚ΡŒ Π³Π΅Π½Π΄Π΅Ρ€Π½Ρ‹Π΅ особСнности профиля повСдСнчСских Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² сСрдСчно-сосудистого риска Π² популяции ΠΆΠΈΡ‚Π΅Π»Π΅ΠΉ Π‘Π°Π½ΠΊΡ‚-ΠŸΠ΅Ρ‚Π΅Ρ€Π±ΡƒΡ€Π³Π°. ΠœΠ΅Ρ‚ΠΎΠ΄Ρ‹: Π² Ρ€Π°ΠΌΠΊΠ°Ρ… ΠΌΠ½ΠΎΠ³ΠΎΡ†Π΅Π½Ρ‚Ρ€ΠΎΠ²ΠΎΠ³ΠΎ эпидСмиологичСского Π½Π°Π±Π»ΡŽΠ΄Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎΒ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π­Π‘Π‘Π•-Π Π€ Π±Ρ‹Π»Π° сформирована случайная Π²Ρ‹Π±ΠΎΡ€ΠΊΠ° ΠΈΠ· ΠΆΠΈΡ‚Π΅Π»Π΅ΠΉ Π‘Π°Π½ΠΊΡ‚-ΠŸΠ΅Ρ‚Π΅Ρ€Π±ΡƒΡ€Π³Π°, стратифицированная ΠΏΠΎ ΠΏΠΎΠ»Ρƒ ΠΈ возрасту. Участники Π·Π°ΠΏΠΎΠ»Π½ΠΈΠ»ΠΈ стандартный опросник, Π±Ρ‹Π»Π° Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½Π° антропомСтрия: рост, вСс, индСкс массы Ρ‚Π΅Π»Π° (ИМВ), ΠΎΠΊΡ€ΡƒΠΆΠ½ΠΎΡΡ‚ΡŒ Ρ‚Π°Π»ΠΈΠΈ (ОВ). Натощак ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ Π»ΠΈΠΏΠΈΠ΄Π½Ρ‹ΠΉ спСктр, ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ Π³Π»ΠΈΠΊΠ΅ΠΌΠΈΠΈ.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹: обслСдованы 1600 Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊ, ΠΈΠ· Π½ΠΈΡ… ΠΌΡƒΠΆΡ‡ΠΈΠ½ 573Β (35,9%), ΠΆΠ΅Π½Ρ‰ΠΈΠ½ 1027 (64,1%). ΠžΠΆΠΈΡ€Π΅Π½ΠΈΠ΅ Ρƒ ΠΌΡƒΠΆΡ‡ΠΈΠ½ ΠΈ ΠΆΠ΅Π½Ρ‰ΠΈΠ½ Π²ΡΡ‚Ρ€Π΅Ρ‡Π°Π»ΠΎΡΡŒ Π² 31–66% случаСв (ΠΏΠΎ ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΡŽ ИМВ β€” Ρƒ 31,2% ΠΌΡƒΠΆΡ‡ΠΈΠ½ ΠΈΒ 35,1% ΠΆΠ΅Π½Ρ‰ΠΈΠ½; ΠΏΠΎ ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΡŽ мСтаболичСского синдрома (АВРIII) β€” Ρƒ 30,3 ΠΈ 44,1%; ΠΏΠΎ ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΡŽ IDF β€” Ρƒ 51,2 ΠΈ 66,4%, соотвСтствСнно; ΠΏΠΎ ΠΎΠ±ΠΎΠΈΠΌ критСриям ОВ Π·Π½Π°Ρ‡ΠΈΠΌΠΎ Ρ‡Π°Ρ‰Π΅ Π²ΡΡ‚Ρ€Π΅Ρ‡Π°Π»Π°ΡΡŒ Ρƒ ΠΆΠ΅Π½Ρ‰ΠΈΠ½, (p 0,001). Π›ΠΈΠ½Π΅ΠΉΠ½Ρ‹ΠΉ рСгрСссионный Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ» ΡƒΡΡ‚Π°Π½ΠΎΠ²ΠΈΡ‚ΡŒΒ Π°ΡΡΠΎΡ†ΠΈΠ°Ρ†ΠΈΡŽ возраста с ИМВ (1,6 ΠΊΠ³/ΠΌ2 Π½Π° 1 Π΄Π΅ΠΊΠ°Π΄Ρƒ), с ОВ Ρƒ ΠΆΠ΅Π½Ρ‰ΠΈΠ½ (5,2 см/Π΄Π΅ΠΊΠ°Π΄Π°) ΠΈ Ρƒ ΠΌΡƒΠΆΡ‡ΠΈΠ½ (2,8 см/Π΄Π΅ΠΊΠ°Π΄Π°; для всСх ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉΒ Ρ€ 0,001). ΠžΠΏΡ‚ΠΈΠΌΠ°Π»ΡŒΠ½Ρ‹ΠΉ ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ Π΄Π²ΠΈΠ³Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΉ активности Π½Π΅ различался Ρƒ ΠΌΡƒΠΆΡ‡ΠΈΠ½ (286; 58,9%) ΠΈ ΠΆΠ΅Π½Ρ‰ΠΈΠ½ (540; 61,2%). Π•ΠΆΠ΅Π΄Π½Π΅Π²Π½ΠΎΠ΅Β ΠΏΠΎΡ‚Ρ€Π΅Π±Π»Π΅Π½ΠΈΠ΅ сладостСй Π·Π½Π°Ρ‡ΠΈΠΌΠΎ Ρ€Π΅ΠΆΠ΅ ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½ΠΎ Ρƒ ΠΌΡƒΠΆΡ‡ΠΈΠ½ (228; 39,8%) ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с ΠΆΠ΅Π½Ρ‰ΠΈΠ½Π°ΠΌΠΈ (539; 52,5%; Ρ€ 0,001). НС ΠΊΡƒΡ€ΠΈΠ»ΠΈΒ 810 (50,6%), 395 (24,7%) ΠΊΡƒΡ€ΠΈΠ»ΠΈ Π² ΠΏΡ€ΠΎΡˆΠ»ΠΎΠΌ ΠΈ 395 (24,7%) ΠΊΡƒΡ€ΠΈΠ»ΠΈ Π² ΠΌΠΎΠΌΠ΅Π½Ρ‚ опроса; наблюдалось большоС число курящих ΠΆΠ΅Π½Ρ‰ΠΈΠ½ β€” 194Β (19,1%).Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅: срСди ΠΆΠΈΡ‚Π΅Π»Π΅ΠΉ Π‘Π°Π½ΠΊΡ‚-ΠŸΠ΅Ρ‚Π΅Ρ€Π±ΡƒΡ€Π³Π° рСгистрируСтся высокая Ρ€Π°ΡΠΏΡ€ΠΎΡΡ‚Ρ€Π°Π½Π΅Π½Π½ΠΎΡΡ‚ΡŒ оТирСния (Π·Π½Π°Ρ‡ΠΈΠΌΠΎ Ρ‡Π°Ρ‰Π΅ срСди ТСнщин, согласно ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΡŽ ОВ, Π²Π½Π΅ зависимости ΠΎΡ‚ наличия ΠΌΠ΅Π½ΠΎΠΏΠ°ΡƒΠ·Ρ‹, Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ, Π·Π° счСт большСго потрСблСния сладких ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ²).Β ΠœΡƒΠΆΡ‡ΠΈΠ½Ρ‹ Π·Π½Π°Ρ‡ΠΈΠΌΠΎ большС курят ΠΈ Ρ€Π΅ΠΆΠ΅ ΠΏΠΎΡ‚Ρ€Π΅Π±Π»ΡΡŽΡ‚ свСТиС ΠΎΠ²ΠΎΡ‰ΠΈ ΠΈ Ρ„Ρ€ΡƒΠΊΡ‚Ρ‹, Ρ‡Ρ‚ΠΎ сопровоТдаСтся большСй Ρ€Π°ΡΠΏΡ€ΠΎΡΡ‚Ρ€Π°Π½Π΅Π½Π½ΠΎΡΡ‚ΡŒΡŽΒ Π³ΠΈΠΏΠ΅Ρ€Π³Π»ΠΈΠΊΠ΅ΠΌΠΈΠΈ ΠΈ Π³ΠΈΠΏΠ΅Ρ€Ρ‚Ρ€ΠΈΠ³Π»ΠΈΡ†Π΅Ρ€ΠΈΠ΄Π΅ΠΌΠΈΠΈ

    Epidemiology of cardiovascular risk factors in two population-based studies

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    We aimed to compare cardiovascular risk factors prevalence in Italy and Russia through cross-sectional database analysis. The study has been based on data from ESSE-RF and from baseline of PLIC study, two population-based epidemiological studies aimed to investigate prevalence of risk factors and evaluating contribution of traditional and new risk factors into morbidity and cardiovascular mortality. A total of 2203 patients with left and right intima-media thickness (IMT) measurements constituted the source population (1205 from PLIC study and 998 from ESSE-RF study). Sample of ESSE-RF study had slightly more diabetic and hypertensive individuals, while the percentage of subjects with high cholesterol value was lower than in the other sample (67.1% vs 79.9%). The median LDL-C value was higher among individuals not treated with statins in the PLIC sample (p < 0.001), while was comparable among subjects receiving statin therapy. On the other hand, the percentage of individuals with positive cardiovascular history was higher in ESSE-RF sample. This could also explain the higher mean IMT value (0.71 \ub1 0.17 vs 0.63 \ub1 0.13) in the whole sample, and among patients without past cardiovascular events (regardless of statin treatment), despite some differences in major risk factors. Despite Russian and Italian populations are culturally and geographically different, they are not so different based on characteristics analyzed

    Consensus of Russian experts on the evaluation of arterial stiffness in clinical practice

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    Recently, there was plenty studies published on the arterial stiffness assessment, and importance of this was proved as an independent prediction parameter, together with standard cardiovascular risk factors. In current document, we collect and structure the available clinical and scientific data from abroad and Russian studies. The aim of current publication is the need to bring a reader the importance of demanded in clinical practice ways of arterial wall stiffness assessment, information about conditions when it is important to the assessment, and available restrictions, as the issues remaining unresolved

    Consensus of Russian experts on the evaluation of arterial stiffness in clinical practice [БогласованноС ΠΌΠ½Π΅Π½ΠΈΠ΅ российских экспСртов ΠΏΠΎ ΠΎΡ†Π΅Π½ΠΊΠ΅ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ ТСсткости Π² клиничСской ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠ΅]

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    Recently, there was plenty studies published on the arterial stiffness assessment, and importance of this was proved as an independent prediction parameter, together with standard cardiovascular risk factors. In current document, we collect and structure the available clinical and scientific data from abroad and Russian studies. The aim of current publication is the need to bring a reader the importance of demanded in clinical practice ways of arterial wall stiffness assessment, information about conditions when it is important to the assessment, and available restrictions, as the issues remaining unresolved. Β© 2016 Vserossiiskoe Obshchestvo Kardiologov. All rights reserved

    Consensus of Russian experts on the evaluation of arterial stiffness in clinical practice

    No full text
    Recently, there was plenty studies published on the arterial stiffness assessment, and importance of this was proved as an independent prediction parameter, together with standard cardiovascular risk factors. In current document, we collect and structure the available clinical and scientific data from abroad and Russian studies. The aim of current publication is the need to bring a reader the importance of demanded in clinical practice ways of arterial wall stiffness assessment, information about conditions when it is important to the assessment, and available restrictions, as the issues remaining unresolved
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