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Table 2 Bayesian path analysis with gender effects. For a select variables the direct effect is for women only, accompanied by an estimation of significant gender difference and corresponding effect for males. The unstandardized effect estimates are odds ratios (OR) for binary outcomes

From: Parathyroid hormone is a plausible mediator for the metabolic syndrome in the morbidly obese: a cross-sectional study

VARIABLES

ESTIMATES USING

STANDARDIZED VARIABLES

UNSTANDARDIZED

EFFECT ESTIMATES

Outcome

variable

Explanatory

Variable

Direct effect

(95% CrI)

Gender diff.

(95% CrI)

Corresp. effect for males

(95% CrI)

Direct effect

(95% CrI)

Effect for males

(95% CrI)

MS bin

Diabetes

3.47

(2.65,4.42)

  

32.0

(14.2,83.4)

 
 

Age

0.31

(0.13,0.50)

-0.29

(-0.64,0.04)

0.02

(-0.25,0.30)

1.03

(1.01,1.04)

1.00

(0.98,1.03)

 

PTH

0.36

(0.15,0.57)

-0.43

(-0.77,-0.11)

-0.07

(-0.32,0.19)

1.17

(1.07,1.28)

0.97

(0.87,1.09)

 

Phosphate

0.28

(0.10,0.47)

-0.42

(-0.76,-0.05)

-0.14

(-0.41,0.12)

5.32

(1.79,17.39)

0.42

(0.08,2.10)

PTH c

Age

0.20

(0.13,0.27)

-0.18

(-0.29,-0.06)

0.03

(-0.07,0.12)

0.04

(0.03,0.05)

0.005

(-0.013,0.023)

 

Magnesium

0.12

(0.06,0.18)

  

3.76

(2.00,5.59)

 
 

Vitamin D

-0.27

(-0.33,-0.21)

  

-0.028

(-0.034,-0.022)

 
 

Phosphate

-0.26

(-0.32,-0.20)

  

-3.57

(-4.38,-2.81)

 
 

Calcium*

-0.09

(-0.15,-0.04)

  

-3.17

(-5.13,-1.19)

 

Calcium* c

Phosphate

0.27

(0.21,0.33)

  

1.31

(1.23,1.39)

 

Diabetes bin

Magnesium

-0.76

(-0.93,-0.59)

  

0.000

(0.000,0.0002)

 
 

Age

0.88

(0.71,1.07)

  

1.08

(1.06,1.09)

 
  1. bin binary outcome (logistic regression)
  2. c continuous outcome (linear regression)
  3. * Albumin corrected