Skip to main content

Table 3 Assessment of fasting on plasma pro-inflammatory biomarkers and their evolution during post-fasting phase (n = 78)

From: Recurrent circadian fasting (RCF) improves blood pressure, biomarkers of cardiometabolic risk and regulates inflammation in men

 

Crude data analysis

Repeated measures logistic regression and generalized least squares random-effects model

All

Young (20–30 years)

Adult-to-elderly (≥ 52 years)

Diff.1 (% ≥ cut-off value) or mean (s.d.)

Crude coeff.2

95% CI3

Adjusted Coeff.4

95% CI3

Crude coeff.2

95% CI3

Adjusted Coeff.4

95% CI3

Crude coeff.2

95% CI3

Adjusted Coeff.4

95% CI3

IL-6

P5 = 0.77

P6 = 0.091

P7 = 0.074

P6 = 0.54

P7 = 0.45

P6 = 0.10

P7 = 0.075

Pre-fasting

–

1

 

1

 

1

 

1

 

1

 

1

 

Fasting

+ 15.4

0.64

− 0.03 to 1.30

+ 0.77

0.06 to 1.49

+ 0.54

− 0.42 to 1.51

+ 0.65

− 0.41 to 1.71

+ 0.74

− 0.19 to + 1.66

+ 0.89

− 0.17 to 1.95

Post-Fasting

+ 15.4

0.63

− 0.03 to 1.30

+0.58

− 0.11 to 1.29

+ 0.32

− 0.64 to 1.29

+ 0.14

− 0.91 to 1.17

+ 0.98

0.02 to 1.94

+ 1.11

0.05 to 2.18

 

TNF-α

P5= 0.003

P6 = 0.0029

P7 = 0089

P6 = 0.038

P7 = 0.044

P6 = 0.0039

P7 = 0.0021

Pre-fasting

–

1

 

1

 

1

 

1

 

1

 

1

 

Fasting

− 26.3

− 1.17

− 1.85 to − 0.50

− 1.16

− 1.91 to − 0.42

− 1.06

− 2.09 to − 0.02

− 1.03

− 2.15 to 0.09

− 1.27

− 2.19 to − 0.35

− 1.56

− 2.61 to − 0.52

Post-fasting

− 9.6

− 0.39

− 1.01 to 0.23

− 0.35

− 1.03 to 0.33

− 1.22

− 2.30 to − 0.16

− 1.35

− 2.52 to 0.18

+ 0.20

− 0.65 to 1.05

+ 0.50

− 0.44 to1.44

 

C-reactive protein

P5 < 0.0001

P6 < 0.0001

P7 < 0.0001

P6 < 0.0001

P7 < 0.0001

P6 < 0.0001

P7 < 0.0001

Pre-fasting

3.03 (0.84)

1

 

1

 

1

 

1

 

1

 

1

 

Fasting

1.89 (0.25)

− 1.14

− 1.30 to − 0.97

− 1.14

− 1.31 to − 0.96

− 0.62

− 0.76 to −0.47

− 0.65

− 0.81 to − 0.50

− 1.61

− 1.83 to − 1.39

− 1.62

− 1.88 to − 1.36

Post-fasting

3.14 (0.84)

+ 0.11

− 0.05 – 0.27

+ 0.11

− 0.07 to 0.28

+ 0.11

− 0.03 to 0.25

+ 0.15

− 0.01 to 0.31

+ 0.11

− 0.11 to 0.33

+ 0.14

− 0.11 to 0.38

  1. 1Difference (between pre-fasting vs. fasting phases and pre-fasting vs. post-fasting phases) in percentage terms of biomarker concentration ≥ cut-off value or mean ± standard deviation
  2. 2Crude generalized least squares random-effects model or repeated measures logistic regression model to examine the association between biomarkers level with fasting or not state
  3. 3C.I. 0.95 confidence interval for Diff
  4. 4Adjusted generalized least squares random-effects model or Repeated measures logistic regression model to examine the association between biomarkers level with fasting or not state
  5. 5p-values: null hypothesis of identical percentage differences of each biomarker concentration level for the pre-, per- and post-fasting or equality of means
  6. 6Crude p-value for association of biomarker plasma concentration ≥ cut-off value or for association difference of means for interval variables with co-factor
  7. 7Adjusted p-value for association of biomarker plasma concentration ≥ cut-off value or for association difference of means for interval variables with co-factor