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Table 4 Multivariate linear regression analysis models of associations between number of MetS components and the level of baPWV

From: Brachial-ankle pulse wave velocity and metabolic syndrome in general population: the APAC study

Variables

MetS

Increasing 1 component of MetS

B (95%CI)

P Value

B (95%CI)

P Value

Ā 

Model 1

152.24 (127.16ā€“177.32)

<0.0001

81.21 (72.82ā€“89.60)

<0.0001

Model 2

125.39 (106.03ā€“144.75)

<0.0001

64.40 (57.92ā€“70.88)

<0.0001

Model 3

122.17 (102.80ā€“141.53)

<0.0001

63.07 (56.57ā€“69.58)

<0.0001

Model 4

132.74 (111.13ā€“154.35)

<0.0001

77.71 (70.12ā€“85.31)

<0.0001

Female

Ā 

Model 1

267.94 (235.39ā€“300.50)

<0.0001

118.25 (107.83ā€“128.66)

<0.0001

Model 2

129.63 (104.40ā€“154.86)

<0.0001

59.27 (50.69ā€“67.85)

<0.0001

Model 3

125.63 (100.30ā€“150.95)

<0.0001

58.03 (49.38ā€“66.68)

<0.0001

Model 4

127.85 (100.20ā€“155.50)

<0.0001

66.78 (56.80ā€“76.76)

<0.0001

Male

Ā 

Model 1

82.90 (47.96ā€“117.83)

<0.0001

52.95 (41.01ā€“64.89)

<0.0001

Model 2

107.28 (79.16ā€“135.40)

<0.0001

63.80 (54.27ā€“73.32)

<0.0001

Model 3

105.18 (77.09ā€“133.26)

<0.0001

62.51 (52.97ā€“72.05)

<0.0001

Model 4

126.18 (94.48ā€“157.89)

<0.0001

81.93 (70.80ā€“93.06)

<0.0001

  1. MetS metabolic syndrome, baPWV brachial ankle pulse wave velocity
  2. Model 1: unadjusted
  3. Model 2: adjusted for age and gender
  4. Model 3: adjusted for age, gender, level of education, income, smoking, alcohol abuse, and amount of physical activity
  5. Model 4: adjusted for age, gender, level of education, income, smoking, alcohol abuse, amount of physical activity, body mass index, and serum concentrations of low-density lipoprotein cholesterol, high-sensitivity C-reactive protein