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Table 2 (continued): Results of the hierarchical regression analyses
  Preventive health care 
  SE b Beta [95%-CI] p R [95%-CI] √(ΔR²) √(ΔR²) [95%-CI] 
Step 1 Age .12 0.03 .12 [0.07, 0.17] <.001 .22 [0.18, 0.23] .22 [0.18, 0.23] 
Gender .19 0.02 .19 [0.14, 0.24] <.001     
Step 2 Age .11 0.03 .11 [0.06, 0.17] <.001 .24 [0.20, 0.28] .00 [-0.04, 0.04] 
Gender .19 0.02 .19 [0.14, 0.23] <.001     
Shift work -.05 0.02 -.05 [-0.09, -0.01] .011     
  Preventive health care 
  SE b Beta [95%-CI] p R [95%-CI] √(ΔR²) √(ΔR²) [95%-CI] 
Step 1 Age .12 0.03 .12 [0.07, 0.17] <.001 .22 [0.18, 0.23] .22 [0.18, 0.23] 
Gender .19 0.02 .19 [0.14, 0.24] <.001     
Step 2 Age .11 0.03 .11 [0.06, 0.17] <.001 .24 [0.20, 0.28] .00 [-0.04, 0.04] 
Gender .19 0.02 .19 [0.14, 0.23] <.001     
Shift work -.05 0.02 -.05 [-0.09, -0.01] .011     

<em>Note.</em> SE = standard error; [95%-CI] = confidence interval for b and Beta; <em>p</em> = <em>p</em>-value; R[95%-CI] = confidence interval for R; √(ΔR²)[95%-CI] = confidence interval for √(ΔR²).

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