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Table 2 Results of linear mixed regression models predicting relative telomere length (RTL) from difference-based methylation age acceleration

From: Frailty is associated with the epigenetic clock but not with telomere length in a German cohort

Covariables Dataset 1 Dataset 2 Overall p a
None 0.0013 (−0.0017, 0.0043) −0.0016 (−0.0044, 0.0012) 0.0000 (−0.0021, 0.0021) 1.00
Age −0.0009 (−0.0039, 0.0022) −0.0031 (−0.0060,−0.0003) −0.0018 (−0.0039, 0.0003) 0.094
Age, sex −0.0004 (−0.0035, 0.0027) −0.0021 (−0.0050, 0.0007) −0.0011 (−0.0032, 0.0010) 0.30
Age, sex, leucocyte distribution (LD) 0.0001 (−0.0033, 0.0034) −0.0014 (−0.0044, 0.0016) −0.0006 (−0.0028, 0.0017) 0.63
Age, sex, LD, smoking 0.0001 (−0.0033, 0.0035) −0.0015 (−0.0046, 0.0015) −0.0006 (−0.0028, 0.0017) 0.63
Age, sex, LD, alcohol −0.0002 (−0.0036, 0.0033) −0.0017 (−0.0048, 0.0015) −0.0009 (−0.0032, 0.0015) 0.48
Age, sex, LD, history of cancer 0.0001 (−0.0032, 0.0035) −0.0017 (−0.0047, 0.0013) −0.0006 (−0.0029, 0.0016) 0.58
Age, sex, LD, interaction (age accel. with sex)
 Estimate in females −0.0020 (−0.0064, 0.0023) −0.0014 (−0.0054, 0.0026) −0.0011 (−0.0041, 0.0018) 0.45
 Estimate in males 0.0024 (−0.0022, 0.0070) −0.0014 (−0.0056, 0.0028) 0.0001 (−0.0030, 0.0032) 0.96
  1. Shown is the estimated change (95 % confidence interval) in RTL per year of age acceleration. All models are adjusted for methylation array batch and telomere assay batch using a random effect
  2. a p values refer to type 3 tests of fixed effects of the overall model