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Table 4 Statistical information on group differences for AUC G and AUC I for salivary cortisol, serum cortisol and ACTH levels in response to acute stress

From: A soy-based phosphatidylserine/ phosphatidic acid complex (PAS) normalizes the stress reactivity of hypothalamus-pituitary-adrenal-axis in chronically stressed male subjects: a randomized, placebo-controlled study

 

low stressed subjects

high stressed subjects

salivary cortisol a

      
 

χ2

df

p

χ2

df

p

AUCG

1.32

2

0.518

0.82

2

0.664

AUCI

0.43

2

0.805

6.48

2

0.039

Post hoc testing AUC I in high stressed subjects b

    
 

Z

p

r

   

PAS 400 group vs. Placebo group

−1.97

0.049

0.41

   

PAS 400 group vs. PAS 200 group

−2.37

0.018

0.51

   

PAS 200 group vs. Placebo group

−0.21

0.833

    

serum cortisol c

      
 

F

df, error df

p

F

df, error df

p

AUCG

0.44

2, 31

0.651

0.55

2, 30

0.585

AUCI

0.09

2, 31

0.911

4.87

2, 28

0.015

Post hoc testing AUC I in high stressed subjects d

    
   

p

   

PAS 400 group vs. Placebo group

  

0.035

   

PAS 400 group vs. PAS 200 group

  

0.033

   

PAS 200 group vs. Placebo group

  

0.995

   

ACTH e

      
 

F

df, error df

p

F

df, error df

p

group difference

1.60

2, 30

0.218

2.43

2, 29

0.106

increase differences

0.31

2, 30

0.737

4.54

2, 29

0.019

Post hoc testing ACTH increase in high stressed subjects e

    
 

F

df, error df

p

   

PAS 400 group vs. Placebo group

8.22

1, 19

0.010

   

PAS 400 group vs. PAS 200 group

8.23

1, 20

0.009

   

PAS 200 group vs. Placebo group

0.25

1, 19

0.627

   
  1. PAS 200 group: 200 mg PA & 200 mg PS per day; PAS 400 group: 400 mg PA & 400 mg PS per day.
  2. Significant p-values are written in bold letters. Post hoc analyses are written in italic letters, ACTH = adrenocorticotropic hormone.
  3. a statistics based on Kruskal Wallis H Test.
  4. b statistics based on Mann–Whitney U test.
  5. c statistics based on univariate analysis of variance.
  6. d statistics based on Tukey post hoc testing.
  7. e statistics based on repeated measures analysis of variance.