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1.
Chinese Journal of Preventive Medicine ; (12): 1056-1059, 2009.
Article in Chinese | WPRIM | ID: wpr-316062

ABSTRACT

<p><b>OBJECTIVE</b>To analyze the relationship between body fat mass and distribution and cardiovascular function in the adult females of Heilongjiang province.</p><p><b>METHODS</b>Based on the statistic variable random sampling principal, we selected 1903 healthy adult females with ages of 18 - 70 years old in Heilongjiang province to conduct the study. The height, body weight, waist, chest measurement and waist-hip ratio (WHR) were measured. Body components quota including fat weight, lean weight, percentage of body fat (PBF) were taken respectively; systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR), cardiac output (CO), cardiac index (CI), stroke volume (SV), stroke index (SI), left cardiac work (LCW) and systemic vascular resistance (SVR) were determined.</p><p><b>RESULTS</b>The PBF and WHR increased with aging, and the PBF of those with ages of 18-, 30-, 40-, 50- and 60 - 70 year's old were (16.86 +/- 5.37)%, (18.43 +/- 4.89)%, (20.99 +/- 5.79)%, (23.47 +/- 5.74)% and (25.77 +/- 6.38)%, respectively (F = 154.46, P < 0.01); and the WHR were 0.77 +/- 0.05, 0.80 +/- 0.05, 0.83 +/- 0.05, 0.85 +/- 0.06 and 0.89 +/- 0.07, respectively (F = 229.84, P < 0.01). The HR, CO, CI, SBP, DBP and LCW were (75.45 +/- 0.35) bpm, (4.42 +/- 0.02) L/min, (2.78 +/- 0.01) L * min(-1) * m(-2), (114.94 +/- 0.40) mm Hg (1 mm Hg = 0.133 kPa), (64.90 +/- 0.28) mm Hg, (4.57 +/- 0.03) kg * m/m(2) respectively in normal PBF groups; whereas the HR, CO, CI, SBP, DBP and LCW in the PBF obesity groups were (77.42 +/- 0.88) bpm, (4.54 +/- 0.05) L/min, (2.88 +/- 0.03) L * min(-1) * m(-2), (120.55 +/- 1.00) mm Hg, (66.56 +/- 0.71) mm Hg and (4.86 +/- 0.07) kg * m/m(2), respectively, F values were 3.182, 9.173, 8.478, 13.497, 2.637, and 10.631, respectively (all P values < 0.05) after the adjustment of age, height and weight, PBF was positively correlated with HR, CO, CI, SI, SBP, DBP and LCW (r values were 0.06, 0.11, 0.10, 0.11 and 0.12, respectively, all P values < 0.05); WHR was positively correlated with CI, SI, SBP, DBP, LCW and SVR (r values were 0.14, 014, 0.19, 0.18, 0.10 and 0.12, respectively, all P values < 0.01) after the adjustment of age, height and weight.</p><p><b>CONCLUSION</b>PBF augmentation and abdominal obesity in females can result in cardiac dysfunction such as cardiac overload, CO increasing and blood pressure rising.</p>


Subject(s)
Adolescent , Adult , Aged , Female , Humans , Middle Aged , Young Adult , Adiposity , Asian People , Blood Pressure , Cardiac Output , Heart Rate , Vascular Resistance , Waist-Hip Ratio
2.
Acta Physiologica Sinica ; (6): 544-550, 2009.
Article in Chinese | WPRIM | ID: wpr-302415

ABSTRACT

In the present study, the differences in systemic vascular resistance (SVR) and the correlated risk factors between Han and Korean residents were investigated. 1 647 Hans and 876 Koreans from Mudanjiang and Hailin areas of Heilongjiang Province were examined with BIOZ Cardio Dynamics Monitor. A series of factors were determined, including SVR, systemic vascular resistance index (SVRI), systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), cardiac output (CO), cardiac output index (CI) and heart rate (HR). The data were analyzed with SPSS 15.0 statistic software. When SVR/SVRI were compared between Han and Korean populations by t-test, it was shown that statistic difference existed in the following age and gender groups: (1) For SVR: male 41-50, 51-60, and 61-70 (P<0.001), 31-40 (P<0.01), 19-30 (P<0.05) age groups; female 15-18, 31-40, 51-60 (P<0.001), 41-50 (P<0.01), and 61-70 (P<0.05) age groups; (2) For SVRI, male 41-50, 51-60 (P<0.05) age groups; female 10-14, 51-60 (P<0.001), 15-18, 31-40 (P<0.01), and 41-50 (P<0.05) age groups. Covariance analysis suggests that, excluding the contributions of gender, age and body mass index (BMI), the differences in SVR/SVRI between the two populations are still significant (P<0.001). Multiple linear regression analysis reveals that SVR difference between Han and Korean populations is attributed to MAP, DBP, CI, SBP, HR; While SVRI difference between two populations is attributed to MAP, DBP, SBP, CI, HR, strongly to weakly, respectively. These results suggest the higher SVR and SVRI are possibly correlated with the relatively higher blood pressure of Korean, compared with that of Han population.


Subject(s)
Adolescent , Adult , Aged , Child , Female , Humans , Male , Middle Aged , Asian People , Ethnology , Blood Pressure , Cardiac Output , China , Heart Rate , Vascular Resistance
3.
Acta Academiae Medicinae Sinicae ; (6): 249-252, 2006.
Article in Chinese | WPRIM | ID: wpr-281222

ABSTRACT

<p><b>OBJECTIVE</b>To analyze the distribution features of systemic vascular resistance (SVR) disorder in healthy subjects in Hebei province.</p><p><b>METHODS</b>SVR and systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), pulse pressure (PP), heart rate (HR), cardiac output (CO), cardiac index (CI), stroke volume (SV), stroke index (SI), left ventricular ejection time (LVET), left cardiac work (LCW) and cardiovascular function were determined with Bioz. com Cardio Dynamics. Total cholesterol (TC), triglyceride (TG) and influencing factor were tested by automated hematology analyzer in 999 healthy subjects living in Hebei province.</p><p><b>RESULTS</b>SVR disorder gradually increased with the ageing in healthy subjects and the prevalences of SVR disorders was higher among females than among males (P < 0.001). SVR was positively correlated with SBP, DBP, MAP, PP, LVET, body mass index (BMI), TC, and TG, and was inversely associated with HR, CO, CI, SV, SI, LCW, and arterial compliance (AC). CO and MAP were independent influencing factors with SVR.</p><p><b>CONCLUSION</b>SVR disorder is associated with age, sex, and blood pressure in populations in Hebei province and may be a marker of vascular injury.</p>


Subject(s)
Adolescent , Adult , Aged , Female , Humans , Male , Middle Aged , Age Factors , Blood Pressure , Body Mass Index , Cardiac Output , Hemodynamics , Physiology , Risk Factors , Sex Factors , Vascular Capacitance , Vascular Diseases , Vascular Resistance
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