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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