Table 4.
Longitudinal analysis of the association between work history and telomere length (2010−2012)
|
aModel 4 |
bModel 5 |
cModel 6 |
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 |
Model 4: Random intercept linear-mixed model with main effect, time, and main effect × time interaction term.
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).
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%.
P-values < 0.05 were considered statistically significant.