Table 1 Statistical analysis results for the two studies.

From: Assessment of dermal fiber changes associated with age ethnicity and cosmetic product use by LC-OCT and automated 3D segmentation

Metrics

Clinical study no. 1: Skin aging and comparison between two ethnic groups

Clinical study no. 2: Effect of an anti-aging product on fiber dermis

Age effect

Y (N = 33) vs. O (N = 27)

Ethnicity effect

A (N = 27) vs. C (N = 33)

t0 vs. t1 (N = 31)

t0 vs. t3 (N = 24)

Number of connected and isolated fibers

Y = 652 ± 144

O = 648 ± 133

A = 714 ± 147

C = 598 ± 107

t0 = 412 ± 51

t1 = 399 ± 69

t0 = 421 ± 53

t3 = 407 ± 47

Two-ways Anova

F(1,57) = 0.133, p = 0.717 (NS)

Two-ways Anova

F(1,57) = 12.362, p = 0.001 (S)

Paired t-test

t(30) = 1.069, p = 0.294 (NS)

Paired t-test

t(23) = 1.047, p = 0.306 (NS)

Number of connected fibers

Y = 151 ± 36

O = 147 ± 35

A = 165 ± 39

C = 137 ± 26

t0 = 97 [18]

t1 = 87 [35]

t0 = 97 [28]

t3 = 89 [25]

Two-ways Anova

F(1,57) = 0.004, p = 0.952 (NS)

Two-ways Anova

F(1,57) = 11.240,

p = 0.001 (S)

Wilcoxon signed rank test

z(30) = 375,

p = 0.012 (S)

Wilcoxon signed rank test

z(23) = 248,

p = 0.005 (S)

Number of isolated fibers

Y = 501 ± 111

O = 500 ± 102

A = 549 ± 111

C = 462 ± 85

t0 = 311 ± 37

t1 = 310 ± 48

t0 = 316 ± 38

t3 = 317 ± 35

Two-ways Anova

F(1,57) = 0.204, p = 0.653 (NS)

Two-ways Anova

F(1,57) = 11.789, p = 0.001 (S)

Paired t-test

t(30) = 0.155,

p = 0.878 (NS)

Paired t-test

t(23) = -0.071,

p = 0.944 (NS)

Length of connected and isolated fibers

Y = 82 ± 19

O = 70 ± 18

A = 81 ± 23

C = 73 ± 16

t0 = 121 ± 32

t1 = 138 ± 40

t0 = 115 ± 29

t3 = 133 ± 31

Two-ways Anova

F(1,57) = 4.890, p = 0.031 (S)

Two-ways Anova

F(1,57) = 1.413, p = 0.240 (NS)

Paired t-test

t(30) = -2.089, p = 0.045 (S)

Paired t-test

t(23) = -2.639,

p = 0.015 (S)

Length of connected fibers

Y = 310 ± 98

O = 262 ± 82

A = 308 ± 115

C = 273 ± 69

t0 = 462 ± 151

t1 = 596 ± 227

t0 = 431 ± 134

t3 = 580 ± 186

Two-ways Anova

F(1,57) = 3.346, p = 0.073 (T)

Two-ways Anova

F(1,57) = 1.417, p = 0.239 (NS)

Paired t-test t(30) = -2.966, p = 0.006 (S)

Paired t-test

t(23) = -3.717,

p = 0.001 (S)

Length of isolated fibers

Y = 14.62 ± 0.63

O = 14.28 ± 0.72

A = 14.55 ± 0.72

C = 14.40 ± 0.66

t0 = 13.87 ± 0.76

t1 = 13.36 ± 0.60

t0 = 14.01 ± 0.80

t3 = 13.37 ± 0.71

Two-ways Anova

F(1,57) = 3.408, p = 0.070 (T)

Two-ways Anova

F(1,57) = 0.388, p = 0.536 (NS)

Paired t-test t(30) = 4.051,

p = 0.000 (S)

Paired t-test

t(23) = 3.155,

p = 0.004 (S)

Number of nodes

Y = 1785 ± 710

O = 1463 ± 581

A = 1890 ± 757

C = 1435 ± 515

t0 = 1804 ± 494

t1 = 2116 ± 555

t0 = 1717 ± 462

t3 = 2124 ± 497

 

Two-ways Anova

F(1,57) = 2.524, p = 0.118 (NS)

Two-ways Anova

F(1,57) = 6.445, p = 0.014 (S)

Paired t-test t(30) = -2.783, p = 0.009 (S)

Paired t-test

t(23) = -4.095, p = 0.000 (S)

Density

Y = 0.00094 ± 0.00032

O = 0.00079 ± 0.00024

A = 0.00099 ± 0.00032

C = 0.00077 ± 0.00023

t0= 0.00190 ± 0.00037

t1=0.00206 ± 0.00038

t0 = 0.00185 ± 0.00035

t3=0.00207 ± 0.00038

Two-ways Anova

F(1,57) = 2.662, p = 0.108 (NS)

Two-ways Anova

F(1,57) = 8.134, p = 0.006 (S)

Paired t-test t(30) = -1.861, p = 0.072 (T)

Paired t-test

t(23) = -2.959, p = 0.007 (S)

Anisotropy score

Y = 0.280 ± 0.098

O = 0.332 ± 0.113

A = 0.318 ± 0.104

C = 0.292 ± 0.111

t0 = 0.554 ± 0.096

t1 = 0.499 ± 0.119

t0 = 0.570 ± 0.095

t3 = 0.506 ± 0.098

Two-ways Anova

F(1,57) = 4.250, p = 0.044 (S)

Two-ways Anova

F(1,57) = 1.526, p = 0.222 (NS)

Paired t-test t(30) = 3.076, p = 0.004 (S)

Paired t-test

t(23) = 3.324, p = 0.003 (S)

  1. p: p-value; S: significant (p < 0.05). NS: not significant (p > 0.10). T: Trend (0.05 < p < 0.10); Y: Young; O: old; A: Asian; C: Caucasian. The measurements of anti-aging efficacy were taken at three timepoints: t0 (before starting of the care routine), t1 (after one month) and t3 (after three months). Df : degree of freedom. Two -ways ANOVA : F(between groups df, within groups df) = [F-value]. T-test : t(df) = [Student-value]. Wilcoxon test : z(df) = [z-value].