Table 2 Multivariate analyses examining treatment exposure type predicting biomarkers of aging parameters at final visit (TF) adjusting for age, race, BMI, and years from treatment

From: Biomarkers of aging associated with past treatments in breast cancer survivors

 

WBC DNA damage (high damage vs. low)

PBMC telomerase (deciles)

PBMC telomere length (T/S)

Predictor

β(SE)a

OR(95% CI)b

P-value

β(SE)

Betac

P-value

β(SE)

Beta

P-value

Covariates in the model

         

 Age (years)

0.15(.05)

1.16(1.06, 1.28)

.002

−0.09(.04)

−0.23

.04

−0.004(.004)

−0.11

.32

 Race (White = 1)

1.14(1.23)

3.14(0.35, 28.59)

.31

0.05(.91)

0.007

.96

−0.11(.08)

−0.17

.16

 Body mass index (kg/m2)

0.007(.06)

1.01(0.89, 1.14)

.92

−0.04(.07)

−0.07

.54

−0.01(.006)

−0.23

.04

 Years from treatment

1.49(.47)

4.44(1.77, 11.16)

.002

−0.17(.48)

−0.04

.73

−0.05(.05)

−0.11

.32

Treatment exposure

         

 Chemotherapy and/or radiationd

2.92(1.26)

18.49(1.56, 218.9)

.02

−1.93(.83)

−0.25

.02

0.07(.08)

0.09

.39

  1. a Standard coefficient (β) and standard error (SE)
  2. b Odds ratio (OR) and 95% confidence interval (95% CI)
  3. c Unstandardized regression coefficient (Beta)
  4. d Compared to those receiving neither treatment, a surgery alone group (N = 15)