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Table 5 Bivariate proportional odds ratio models performed to assess the association of MetS (Yes/No) and BMI, PhA, PASI score and DLQI in psoriatic patients

From: Bioelectrical phase angle and psoriasis: a novel association with psoriasis severity, quality of life and metabolic syndrome

 

Odds

p value

95 % CI

 

Model 1 BMI (kg/m 2 )

 

<0.001

  

 MetS Yes

2.23

 

1.93–2.58

 

 MetS No

1.21

 

1.05–1.40

 

Adjusted for BMI

    

Model 2 PhA (°)

 

<0.001

  

 MetS Yes

5.87

 

5.07–6.79

 

 MetS No

0.46

 

0.39–0.53

 

Model 3 PASI score

 

<0.001

  

 MetS Yes

2.20

 

1.90–2.55

 

 MetS No

1.23

 

1.06–1.42

 

Model 4 DLQI

 

<0.001

  

 MetS Yes

2.23

 

2.03–2.73

 

 MetS No

1.15

 

0.99–1.33

 
 

Model 1

BMI (kg/m2)

Model 2

PhA (°)

Model 3

PASI score

Model 4

DLQI

 

Model value fittings

 AIC

200.2

231.2

195.9

227.1

 

  R2 adj

0.06

0.01

0.17

0.04

 
  1. Bivariate proportional odds ratio models performed to assess the association of MetS (yes/no) and BMI (model 1), PhA (model 2), PASI score (model 3) and DLQI (model 4) in psoriatic patients. In model 2, the model fitting is better with presence of MetS than absence of MetS: small values of the PhA influence the presence of MetS among psoriatic patients. At model fittings, the PhA is a major index value for diagnosis of MetS. AIC value fitting and R2 are higher and lower, respectively, than the AIC value fitting and R2 of BMI, PASI score and DLQI. A p value in bold type denotes a significant difference (p < 0.05)
  2. MetS metabolic syndrome, BMI body mass index, PhA phase angle, PASI psoriasis area and severity index, DLQI dermatology life quality index, AIC akaike information criterion, CI confidence interval
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Journal of Translational Medicine

ISSN: 1479-5876

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