2 research outputs found
ΠΠ΅Π½Π΄Π΅ΡΠ½ΡΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΠΎΡΡΠΈ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΡΠ΅ΡΠΊΠΈΡ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠΈΡΠΊΠ° Ρ ΠΆΠΈΡΠ΅Π»Π΅ΠΉ Π‘Π°Π½ΠΊΡ-ΠΠ΅ΡΠ΅ΡΠ±ΡΡΠ³Π°
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: ΠΠ’Π III 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 ΡΠ°Π·Π²ΠΈΡΡΡ
ΡΡΡΠ°Π½Π°Ρ
ΠΎΡΠΌΠ΅ΡΠ°ΡΡΡΡ Π³Π΅Π½Π΄Π΅ΡΠ½ΡΠ΅ ΡΠ°Π·Π»ΠΈΡΠΈΡ Π² ΠΎΠΆΠΈΠ΄Π°Π΅ΠΌΠΎΠΉ ΠΏΡΠΎΠ΄ΠΎΠ»ΠΆΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΆΠΈΠ·Π½ΠΈ, ΡΡΠΎ ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΎΠ±ΡΡΡΠ½Π΅Π½ΠΎ ΠΏΡΠΎΡΠΈΠ»Π΅ΠΌΒ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠΈΡΠΊΠ°.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ: ΠΈΠ·ΡΡΠΈΡΡ Π³Π΅Π½Π΄Π΅ΡΠ½ΡΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΏΡΠΎΡΠΈΠ»Ρ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎ-ΡΠΎΡΡΠ΄ΠΈΡΡΠΎΠ³ΠΎ ΡΠΈΡΠΊΠ° Π² ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΈ ΠΆΠΈΡΠ΅Π»Π΅ΠΉ Π‘Π°Π½ΠΊΡ-ΠΠ΅ΡΠ΅ΡΠ±ΡΡΠ³Π°. ΠΠ΅ΡΠΎΠ΄Ρ: Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΠΌΠ½ΠΎΠ³ΠΎΡΠ΅Π½ΡΡΠΎΠ²ΠΎΠ³ΠΎ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π½Π°Π±Π»ΡΠ΄Π°ΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎΒ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΠ‘Π‘Π-Π Π€ Π±ΡΠ»Π° ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½Π° ΡΠ»ΡΡΠ°ΠΉΠ½Π°Ρ Π²ΡΠ±ΠΎΡΠΊΠ° ΠΈΠ· ΠΆΠΈΡΠ΅Π»Π΅ΠΉ Π‘Π°Π½ΠΊΡ-ΠΠ΅ΡΠ΅ΡΠ±ΡΡΠ³Π°, ΡΡΡΠ°ΡΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Π½Π°Ρ ΠΏΠΎ ΠΏΠΎΠ»Ρ ΠΈ Π²ΠΎΠ·ΡΠ°ΡΡΡ. Π£ΡΠ°ΡΡΠ½ΠΈΠΊΠΈ Π·Π°ΠΏΠΎΠ»Π½ΠΈΠ»ΠΈ ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΡΠΉ ΠΎΠΏΡΠΎΡΠ½ΠΈΠΊ, Π±ΡΠ»Π° Π²ΡΠΏΠΎΠ»Π½Π΅Π½Π° Π°Π½ΡΡΠΎΠΏΠΎΠΌΠ΅ΡΡΠΈΡ: ΡΠΎΡΡ, Π²Π΅Ρ, ΠΈΠ½Π΄Π΅ΠΊΡ ΠΌΠ°ΡΡΡ ΡΠ΅Π»Π° (ΠΠΠ’), ΠΎΠΊΡΡΠΆΠ½ΠΎΡΡΡ ΡΠ°Π»ΠΈΠΈ (ΠΠ’). ΠΠ°ΡΠΎΡΠ°ΠΊ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ Π»ΠΈΠΏΠΈΠ΄Π½ΡΠΉ ΡΠΏΠ΅ΠΊΡΡ, ΡΡΠΎΠ²Π΅Π½Ρ Π³Π»ΠΈΠΊΠ΅ΠΌΠΈΠΈ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ: ΠΎΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Ρ 1600 ΡΠ΅Π»ΠΎΠ²Π΅ΠΊ, ΠΈΠ· Π½ΠΈΡ
ΠΌΡΠΆΡΠΈΠ½ 573Β (35,9%), ΠΆΠ΅Π½ΡΠΈΠ½ 1027 (64,1%). ΠΠΆΠΈΡΠ΅Π½ΠΈΠ΅ Ρ ΠΌΡΠΆΡΠΈΠ½ ΠΈ ΠΆΠ΅Π½ΡΠΈΠ½ Π²ΡΡΡΠ΅ΡΠ°Π»ΠΎΡΡ Π² 31β66% ΡΠ»ΡΡΠ°Π΅Π² (ΠΏΠΎ ΠΊΡΠΈΡΠ΅ΡΠΈΡ ΠΠΠ’ β Ρ 31,2% ΠΌΡΠΆΡΠΈΠ½ ΠΈΒ 35,1% ΠΆΠ΅Π½ΡΠΈΠ½; ΠΏΠΎ ΠΊΡΠΈΡΠ΅ΡΠΈΡ ΠΌΠ΅ΡΠ°Π±ΠΎΠ»ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΈΠ½Π΄ΡΠΎΠΌΠ° (ΠΠ’Π III) β Ρ 30,3 ΠΈ 44,1%; ΠΏΠΎ ΠΊΡΠΈΡΠ΅ΡΠΈΡ IDF β Ρ 51,2 ΠΈ 66,4%, ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ; ΠΏΠΎ ΠΎΠ±ΠΎΠΈΠΌ ΠΊΡΠΈΡΠ΅ΡΠΈΡΠΌ ΠΠ’ Π·Π½Π°ΡΠΈΠΌΠΎ ΡΠ°ΡΠ΅ Π²ΡΡΡΠ΅ΡΠ°Π»Π°ΡΡ Ρ ΠΆΠ΅Π½ΡΠΈΠ½, (p 0,001). ΠΠΈΠ½Π΅ΠΉΠ½ΡΠΉ ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΎΠ½Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ» ΡΡΡΠ°Π½ΠΎΠ²ΠΈΡΡΒ Π°ΡΡΠΎΡΠΈΠ°ΡΠΈΡ Π²ΠΎΠ·ΡΠ°ΡΡΠ° Ρ ΠΠΠ’ (1,6 ΠΊΠ³/ΠΌ2 Π½Π° 1 Π΄Π΅ΠΊΠ°Π΄Ρ), Ρ ΠΠ’ Ρ ΠΆΠ΅Π½ΡΠΈΠ½ (5,2 ΡΠΌ/Π΄Π΅ΠΊΠ°Π΄Π°) ΠΈ Ρ ΠΌΡΠΆΡΠΈΠ½ (2,8 ΡΠΌ/Π΄Π΅ΠΊΠ°Π΄Π°; Π΄Π»Ρ Π²ΡΠ΅Ρ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉΒ Ρ 0,001). ΠΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΠΉ ΡΡΠΎΠ²Π΅Π½Ρ Π΄Π²ΠΈΠ³Π°ΡΠ΅Π»ΡΠ½ΠΎΠΉ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π½Π΅ ΡΠ°Π·Π»ΠΈΡΠ°Π»ΡΡ Ρ ΠΌΡΠΆΡΠΈΠ½ (286; 58,9%) ΠΈ ΠΆΠ΅Π½ΡΠΈΠ½ (540; 61,2%). ΠΠΆΠ΅Π΄Π½Π΅Π²Π½ΠΎΠ΅Β ΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½ΠΈΠ΅ ΡΠ»Π°Π΄ΠΎΡΡΠ΅ΠΉ Π·Π½Π°ΡΠΈΠΌΠΎ ΡΠ΅ΠΆΠ΅ ΠΎΡΠΌΠ΅ΡΠ΅Π½ΠΎ Ρ ΠΌΡΠΆΡΠΈΠ½ (228; 39,8%) ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΠΆΠ΅Π½ΡΠΈΠ½Π°ΠΌΠΈ (539; 52,5%; Ρ 0,001). ΠΠ΅ ΠΊΡΡΠΈΠ»ΠΈΒ 810 (50,6%), 395 (24,7%) ΠΊΡΡΠΈΠ»ΠΈ Π² ΠΏΡΠΎΡΠ»ΠΎΠΌ ΠΈ 395 (24,7%) ΠΊΡΡΠΈΠ»ΠΈ Π² ΠΌΠΎΠΌΠ΅Π½Ρ ΠΎΠΏΡΠΎΡΠ°; Π½Π°Π±Π»ΡΠ΄Π°Π»ΠΎΡΡ Π±ΠΎΠ»ΡΡΠΎΠ΅ ΡΠΈΡΠ»ΠΎ ΠΊΡΡΡΡΠΈΡ
ΠΆΠ΅Π½ΡΠΈΠ½ β 194Β (19,1%).ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅: ΡΡΠ΅Π΄ΠΈ ΠΆΠΈΡΠ΅Π»Π΅ΠΉ Π‘Π°Π½ΠΊΡ-ΠΠ΅ΡΠ΅ΡΠ±ΡΡΠ³Π° ΡΠ΅Π³ΠΈΡΡΡΠΈΡΡΠ΅ΡΡΡ Π²ΡΡΠΎΠΊΠ°Ρ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΠΎΡΡΡ ΠΎΠΆΠΈΡΠ΅Π½ΠΈΡ (Π·Π½Π°ΡΠΈΠΌΠΎ ΡΠ°ΡΠ΅ ΡΡΠ΅Π΄ΠΈΒ ΠΆΠ΅Π½ΡΠΈΠ½, ΡΠΎΠ³Π»Π°ΡΠ½ΠΎ ΠΊΡΠΈΡΠ΅ΡΠΈΡ ΠΠ’, Π²Π½Π΅ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ Π½Π°Π»ΠΈΡΠΈΡ ΠΌΠ΅Π½ΠΎΠΏΠ°ΡΠ·Ρ, Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ, Π·Π° ΡΡΠ΅Ρ Π±ΠΎΠ»ΡΡΠ΅Π³ΠΎ ΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½ΠΈΡ ΡΠ»Π°Π΄ΠΊΠΈΡ
ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²).Β ΠΡΠΆΡΠΈΠ½Ρ Π·Π½Π°ΡΠΈΠΌΠΎ Π±ΠΎΠ»ΡΡΠ΅ ΠΊΡΡΡΡ ΠΈ ΡΠ΅ΠΆΠ΅ ΠΏΠΎΡΡΠ΅Π±Π»ΡΡΡ ΡΠ²Π΅ΠΆΠΈΠ΅ ΠΎΠ²ΠΎΡΠΈ ΠΈ ΡΡΡΠΊΡΡ, ΡΡΠΎ ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π°Π΅ΡΡΡ Π±ΠΎΠ»ΡΡΠ΅ΠΉ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΠΎΡΡΡΡΒ Π³ΠΈΠΏΠ΅ΡΠ³Π»ΠΈΠΊΠ΅ΠΌΠΈΠΈ ΠΈ Π³ΠΈΠΏΠ΅ΡΡΡΠΈΠ³Π»ΠΈΡΠ΅ΡΠΈΠ΄Π΅ΠΌΠΈΠΈ
Epidemiology of cardiovascular risk factors in two population-based studies
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