| Objective: To study the relationship between the homocysteine(Hcy) levels and blood pressure variability(BPV)in the normal blood pressure group.Methods: 2493 people who have lived in Chengdu for more than five years and got physical examination in the medical center of in normotensive people from March 2013 to March 2015. In the same time, data of their homocysteine and dynamic blood pressure are monitored. Informations are registered, such as homocysteine of plasma, dynamic blood pressure, blood glucose, LDL, age, gender, work, temper character, diet, sleeping habits, hobbies, medical history, medication history, the mood on the day, activities of the day, weather conditions. According to strict standard screen for including and excluding, we eliminated the influence of other confounding factors on blood pressure variability screened. So, 180 people became the subjects of the research, among which 90 were male, female 90 cases. These cases are divided into three groups: control group, the plasma homocysteine(<15 μmol/L), 30 cases of male, female, mild group(15~29.9 μmol/L) with elevating plasma homocysteine, 30 cases of male and female, moderate group(30 ~ 100 μmol/L) with high plasma homocysteine, 30 cases of male and female. Statistical analysis was performed using SPSS13.0 statistical software. With completely random data variance analysis methods, the difference of variants is analysed in the three group. The variants include age, blood glucose and LDL, plasma homocysteine, systolic blood pressure variation coefficient(24h SCV) 24 hours a day, 24 hours of diastolic pressure coefficient of variation(24h DCV), and systolic blood pressure variation coefficient(d SCV), on the day the day diastolic blood pressure(d DCV), systolic blood pressure at night the variation coefficient of variation coefficient(n SCV), nocturnal diastolic blood pressure variation coefficient(n DCV). SNK method is used again while significant statistic difference exists in the pairwise comparison. Using Pearson correlation analysis and multiple linear stepwise regression analysis method to analyze blood pressure variability and the relationship of homocysteine.Result:First, the age, blood glucose, LDL, plasma homocysteine, systolic blood pressure 24 hours a coefficient of variation(24h SCV), 24 diastolic blood pressure variation coefficient(24h DCV), daytime systolic blood pressure variation coefficient(d SCV), daytime diastolic blood pressure variation coefficient(d DCV), nighttime systolic blood pressure variation coefficient(n SCV), nighttime diastolic blood pressure variation coefficient(n DCV) in the three group are analysed with completely random data variance analysis. The result of ANOVA of completely random data about the average age is: F = 1.05, P = 0.352>0.05, the age difference in the three groups was not statistically significant; the result of ANOVA of completely random information about mean blood glucose is: F = 0.85, P = 0.43>0.05, the difference in the three groups was not no significant difference in blood glucose; the result of ANOVA of completely random information about mean LDL is: F = 1.37, P = 0.26>0.05, difference in LDL was not statistically significant; the result of ANOVA of completely random information about 24 hours SBP variation coefficient ANOVA mean is: F = 32.41, P<0.01, SNK method: 1 and 2, P = 0.01<0.05; 1 and 3, P<0.01; 2 and 3, P<0.01, the difference was statistically meaning; the result of ANVOA of completely random variation coefficient data about three groups 24 hours DBP mean is:F = 28.06, P<0.01, SNK method: 1 and 2, P<0.05; 1 and 3, P<0.01; 2 and 3, P<0.01, the difference was statistically significant; three daytime SBP mean completely random variation coefficient data analysis of variance results: F = 40.89, P<0.01, SNK method: 1 and 2, P<0.05; 1 and 3, P<0.01;2 and 3, P<0.01; significant difference; the three groups the mean daytime DBP completely random variation coefficient data analysis of variance: F = 34.77, P<0.01, SNK method: 1 and 2, P<0.05;1 and 3,P<0.01; 2 and 3, P<0.01, the difference was statistically significant; three groups coefficient of variation of the mean nighttime SBP completely random data analysis of variance: F = 2.36, P = 0.1>0.05, the difference was not statistically meaning;three nighttime DBP mean completely random variation coefficient data analysis of variance: F = 3.07, P<0.05, SNK method: 1 and 2, P = 0.73>0.05; 1 and 3, P>0.05; 2 and 3, P = 0.02<0.05, the difference was statistically significant. In addition to plasma homocysteine, there was no difference in the factors that may affect blood pressure variability in age, blood glucose, LDL and other subjects sifting, excluding the impact of other factors on the final result. With plasma homocysteine levels in the three groups of subjects BPV emergence of different,and the difference was statistically significant.Second, Pearson correlation analysis showed: homocysteine levels with 24-hour SBP coefficient of variation(%) were positively correlated(r = 0.428, P<0.01), with 24-hour DBP coefficient of variation(%) were positively correlated(r = 0.397, P<0.01), and positively correlated with daytime SBP coefficient of variation(%)(r = 0.466, P<0.01), and positively correlated with daytime DBP coefficient of variation(%)(r = 0.428, P<0.01). The levels also were positively correlated with nighttime SBP variation coefficient(%)(r = 0.151, P<0.05), r<3, and positively correlated with nighttime DBP coefficient of variation(%) were(r = 0.175, P<0.05),r<3. The last two correlations are weak.Last, multiple linear regression analysis showed: after excluding other confounding factors, The relativities between coefficient of variation for the blood pressure with age, and plasma homocysteine are ranked by daytime SBP variation coefficient(r = 0.466, P<0.01)> 24-hour SBP variation coefficient(r = 0.428, P<0.01) = daytime DBP variation coefficient(r = 0.428, P<0.01)>24-hour DBP coefficient of variation(%)(r = 0.397, P<0.01)>DBP night variation coefficient(r = 0.175, P <0.05)>nocturnal SBP variation coefficient(r = 0.151, P<0.05). This demostrates plasma homocysteine has different effects on different periods of systolic and diastolic blood pressure. The sortation of each partial regression coefficient of variation coefficient of blood pressure: daytime DBP variation coefficient(β = 0.141)>daytime SBP variation coefficient(β = 0.130)>24-hour SBP variation coefficient(β = 0.108)>24-hour on coefficient(β = 0.107)>nighttime DBP variation coefficient(β = 0.060)>nighttime SBP variation coefficient(β = 0.048).Conclusion: 24-hour SBP coefficient of variation, 24-hour DBP coefficient of variation, daytime SBP coefficient of variation, daytime DBP coefficient of variationlevels are positively correlated with plasma homocysteine levels, and the correlation is strong. Nighttime SBP coefficient of variation, nighttime DBP coefficient of variation are positively correlated with plasma homocysteine levels, but the correlation is weak. Plasma homocysteine levels are a factor of blood pressure variability, which can still have an impact in normotensive people. |
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