In total, 7119 participants who effectively completed the questionnaires were included in our research. The baseline of demographic variables was shown in table 1, and most variables based on our previous studies[40-44]. Overall, 3345(46.99%) of the participants were men, and 3774 (53.01%) of the participants were women. The average ages of the men and women were 60.24 ± 9.24 and 59.91 ± 9.95 years, respectively. In the men, the mean and standard deviation of SUA level were 4.87±1.24 mg/dl in the normotensive group, and 5.20±1.33 mg/dl in the hypertensive group, respectively. In the men, the mean and standard deviation of TG level were 120.58±100.65 mg/dl in the normotensive group, and 133.51±111.81 mg/dl in the hypertensive group, respectively. In the women, the mean and standard deviation of SUA level were 3.93±1.04 mg/dl in the normotensive group, and 4.24±1.16 mg/dl in the hypertensive group, respectively. In the women, the mean and standard deviation of TG level were 129.26±82.88 mg/dl in the normotensive group, and 154.49±112.79 mg/dl, respectively. Table1 showed the relationship between various characteristics and BP levels in the participants. Significant differences in distribution were observed between blood pressure status in the men in all of the variables, except cigarette smoking, alcohol consumption, eating habit, social and leisure activities, physical exercise, hepatitis history, anti-diabetic medication, and HDL-C. Age, CRP, HbA1c, FPG, LDL-C, BMI, TG, SUA, SBP, and DBP were significantly higher in hypertension than those in the normotension, whereas, eGFR level were lower in hypertension than that in the normotension. Significant differences in distribution were observed between blood pressure status in women in all of the variables, except the place of residence, cigarette smoking, eating habit, social and leisure activities, accidental injury, regular physical exercises, and hepatitis history. Age, CRP, HbA1c, FPG, LDL-C, BMI, TG, SBP, SUA, and DBP were significantly higher in hypertension than those in the normotension. However, HDL-C and eGFR level were lower in hypertension than that in the normotension.
Table 2 showed the age-adjusted relationship between the baseline of demographic variables and BP status of participants categorized by gender. In the men, firstly, age-adjusted partial Pearson’s correlation coefficient showed that marital status, place of residence, accidental injury, history of CVDs, antilipidemic medication, anti-hypertensive medication, HbA1c, FPG, LDL-C, HDL-C, eGFR, BMI, SUA and TG level significantly correlated with both SBP and DBP. Secondly, anti-diabetic medication positively correlated with SBP. Lastly, alcohol consumption and eating habits significantly correlated with DBP. In the women, firstly, age-adjusted partial Pearson’s correlation coefficient showed that alcohol consumption, history of CVDs, antilipidemic medication, anti-hypertensive medication, anti-diabetic medication, HbA1c, FPG, HDL-C, BMI, SUA and TG level significantly correlated with both SBP and DBP. Secondly, marital status positively correlated with SBP. Thirdly, eating habit, hepatitis history, LDL-C, and eGFR significantly correlated with DBP.
Tables 3 showed a multivariate-adjusted relationship between the baseline of demographic variables and BP in participants categorized by gender. The results showed that the TG level were significantly and positively associated with SBP and DBP in both men (SBP: β =0.068, P =0.001; DBP: β =0.064, P=0.002) and women (SBP: β =0.061, P =0.002; DBP: β =0.084, P=0.000), but SUA were significantly and positively associated with SBP in both men (SBP: β =0.047, P =0.013) and women (SBP: β =0.040, P =0.028), regardless of other confounding factors. We also take care of the direct associations between TG category and SUA levels on BP levels. Fig. 2 showed that the lines differenced from others in each figure.
A general linear model adjusted for the related confounding factors(socio-demographic characteristics [age, educational levels, marital status, place of residence], health behaviors [smoking habit, alcohol consumption, eating habits, social and leisure activities, accidental injury, physical activities], medical history [history of CVDs, hepatitis history, antidiabetic drugs, anti-hypertensive therapy, history of antilipidemic medication], metabolic measures [CRP, HbA1c, FPG, HDL-C, eGFR, LDL-C, BMI]) was used to explore the combined relationship between SUA and TG level. Evidence of interaction between SUA and TG level on SBP (β =-1.090, P =0.726 in men; β =-0.692, P=0.861 in women) and DBP (β=-1.026, P =0.572 in men; β =-0.794, P =0.842 in women) was not observed (Tables 4).