Table 2: Linear regression models displaying associations of sleep variables with telomere length (base pairs) adjusting for study covariates.

ModelBSE Bβ value

Time in bed
 Age−4.295.08−.056−.845.399
 Race−67.0560.30−.073−1.11.267
 BMI−11.434.72−.162−2.42.016
 Income18.7747.11.026.398.691
 Time in bed−20.6221.56−.063−.956.340

Sleep duration
 Age−4.095.03−.053−.798.426
 Race−47.0660.02−.052−.784.434
 BMI−11.544.67−.163−2.47.014
 Income11.7246.57.017.252.801
 Sleep duration−2.4422.26−.007−.110.913

Sleep onset latency
 Age−5.034.99−.066−1.01.315
 Race−53.9759.32−.059−.910.364
 BMI−11.454.62−.162−2.48.014
 Income10.0646.08.014.218.827
 Sleep onset latency−100.3471.08−.092−1.41.159

Sleep quality
 Age−6.045.02−.080−1.20.230
 Race−51.0358.92−.056−.866.387
 BMI−11.194.60−.158−2.43.016
 Income2.5546.07.004.055.956
 Sleep quality55.4827.43.1332.02.044