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Table 4 Multivariate-adjusted relationship between various characteristics and blood pressure status of participants categorized by body mass index

From: Interaction between body mass index and serum uric acid in relation to blood pressure in community-dwelling Japanese men

  Body mass index category < 21.0 kg/m2 N = 216 Body mass index category ≥ 21.0 kg/m2 N = 601
Systolic blood pressure Diastolic blood pressure Systolic blood pressure Diastolic blood pressure
Characteristics N = 817 β(P-value)§ β(P-value)§ β(P-value)§ β(P-value)§
Age 0.375 (< 0.001) 0.065 (0.396) 0.275 (< 0.001) −0.045 (0.332)
Body mass index 0.175 (< 0.001) 0.141 (0.001)
Alcohol consumption 0.124 (0.064) −0.046 (0.247)
Smoking status 0.175 (0.010) 0.182 (0.014) 0.114 (0.006) 0.102 (0.020)
History of CVD (Yes = 1, No = 0) −0.042 (0.307)
Triglycerides 0.064 (0.167)
HDL cholesterol 0.083 (0.067)
LDL cholesterol 0.162 (0.018)
Antilipidemic medication (Yes = 1, No = 0) − 0.090 (0.020)
Fasting plasma glucose 0.151 (0.020) 0.087 (0.197) 0.088 (0.024)
Antiidiabetic medication (Yes = 1, No = 0) − 0.060 (0.370) −0.041 (0.302)
Serum uric acid 0.178 (0.011) 0.155 (0.028) −0.127 (0.001) −0.102 (0.019)
Estimated GFR 0.272 (< 0.001) 0.170 (0.030) − 0.036 (0.429)
Aspartate transaminase − 0.086 (0.243)
γ-glutamyl transpeptidase 0.243 (0.002) 0.124 (0.007) 0.157 (0.001)
R2 0.167 (< 0.001) 0.163 (< 0.001) 0.127 (< 0.001) 0.084 (< 0.001)
  1. Only factors remained in the final model were shown. Data for triglycerides, fasting plasma glucose, aspartate transaminase, and γ-glutamyl transpeptidase were skewed and were log-transformed for analysis. Bolded numbers indicate significance
  2. β standard coefficient, R2 coefficient of determination
  3. §Multivariate adjusted for all confounding factors in Table 1 by multiple linear regression analysis using backward elimination method