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. Author manuscript; available in PMC: 2015 Apr 1.
Published in final edited form as: Genet Epidemiol. 2014 Feb 24;38(3):254–264. doi: 10.1002/gepi.21796

Table 4.

Longitudinal analysis of the association between work history and telomere length (2010−2012)

aModel 4
bModel 5
cModel 6
Main effect of work history Estimate 95%CI lower 95%CI upper P-value Estimate 95%CI lower 95%CI upper P-value Estimate 95%CI lower 95%CI upper P-value
Log number of years as BM − 3.8 × 10−2 − 7.8 × 10−2 1.3 × 10−3 0.06 3.0 × 10−3 − 5.4 × 10−2 6.0 × 10−2 0.92 − 3.6 × 10−2 − 1.3 × 10−1 5.5 × 10−2 0.40
Time (months of follow-up) − 3.2 × 10−3 − 1.6 × 10−2 9.9 × 10−3 0.63 − 1.0 × 10−2 − 2.7 × 10−2 6.2 × 10−3 0.22 − 9.3 × 10−4 − 2.8 × 10−2 2.6 × 10−2 0.94
Log number of years BM × time interaction − 1.6 × 10−3 − 8.9 × 10−3 5.7 × 10−3 0.66 2.3 × 10−3 − 6.9 × 10−3 1.1 × 10−2 0.62 − 3.6 × 10−3 − 1.7 × 10−2 9.9 × 10−3 0.57
a

Model 4: Random intercept linear-mixed model with main effect, time, and main effect × time interaction term.

b

Model 5: Random intercept linear-mixed model additionally controlling for age at baseline blood draw, current and past smoking status, and log-transformed BMI (kg/m2).

c

Model 6: Random intercept linear-mixed model additionally controlling for age at baseline blood draw, current and past smoking status, and log-transformed BMI (kg/m2), white blood cell count, neutrophil%, lymphocyte%, monocyte%, and eosinophil%.

d

P-values < 0.05 were considered statistically significant.