Table 3 Two-tailed regression analyses

From: Major depression, physical health and molecular senescence markers abnormalities

 

Standardized β

T

P

Collinearity statistics: variance inflation factora

All participants

F(6, 419) = 24.56, P < 0.001, adjusted R2 = 0.25 and power >0.99

 

Age

0.18

4.17

<0.001

1.10

Sex

−0.18

−4.27

<0.001

1.03

Depression and anxiety severity

−0.038

−0.89

0.38

1.05

Cognitive functioning

−0.086

−1.96

0.051

1.08

Cardiovascular and cardiometabolic health

0.39

9.25

<0.001

1.02

Blood pressure

0.027

0.63

0.53

1.02

Male participants

F(5,147) = 12.98, P < 0.001, adjusted R2 = 0.28 and power >0.99

 

Age

0.13

1.75

0.082

1.12

Depression and anxiety severity

−0.091

−1.29

0.20

1.06

Cognitive functioning

−0.020

−0.27

0.79

1.12

Cardiovascular and cardiometabolic health

0.50

6.76

<0.001

1.14

Blood pressure

−0.018

−0.25

0.80

1.04

Female participants

F(5, 267) = 14.32, P < 0.001, adjusted R2 = 0.20 and power >0.99

 

Age

0.22

3.79

<0.001

1.10

Depression and anxiety severity

−0.013

−0.24

0.81

1.04

Cognitive functioning

−0.12

−2.06

0.041

1.08

Cardiovascular and cardiometabolic health

0.35

6.38

<0.001

1.02

Blood pressure

0.074

1.33

0.18

1.03

  1. We conducted two-tailed regression analyses, with the SASP index as the dependent variable and age, sex and the factors as independent variables. P values less than 0.0083 (Bonferroni correction for six covariates) are considered significant and bolded.
  2. aThe variance inflation factor is used to detect multicollinearity. The value starts at 1 and has no upper limit. A general rule of thumb is that values between 1 and 5 indicate some correlations that are not problematic enough to require attention (for correlations between factors, see Supplementary Table 5).
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