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Table 3 (continued): Results of the hierarchical regression analyses with fluid intelligence as a moderator
  Preventive health care 
  b SE b Beta [95%-CI] p R 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 .23 [0.19, 0.27] .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 
Step 3 Age .12 0.02 .12 [0.07, 0.17] <.001 .23 [0.19, 0.27] .00 [-0.04, 0.04] 
Gender .19 0.02 .19 [0.15, 0.24] <.001 
Shift work -.05 0.02 -.05 [-0.09, -0.01] .017 
Fluid intelligence .02 0.03 .02 [-0.03, 0.08] .359 
Step 4 Age .12 0.02 .12 [0.07, 0.17] <.001 .23 [0.19, 0.27] .00 [-0.04, 0.04] 
Gender .19 0.02 .19 [0.15, 0.23] <.001 
Shift work -.17 0.10 -.17 [-0.37, 0.03] .099 
Fluid intelligence .01 0.03 .01 [-0.05, 0.07] .672 
Shift work x fluid intelligence .12 0.10 .12 [-0.08, 0.32] .224 
Step 5 Age .12 0.02 .12 [0.07, 0.17] <.001 .23 [0.19, 0.27] .00 [-0.04, 0.04] 
Gender -.06 0.15 -.06 [-0.37, 0.26] .713 
Shift work -.37 0.37 -.37 [-1.12, 0.37] .321 
Fluid intelligence -.13 0.08 -.13 [-0.29, .003] .103 
Shift work x fluid intelligence .38 0.37 .38 [-0.36, 1.13] .304 
Shift work x gender .21 0.40 .21 [-0.59, 1.02] .594 
Gender x fluid intelligence .29 0.16 .29 [-0.05, 0.62] .089 
Shift work x gender x fluid intelligence -.28 0.40 -.28 [-1.08, 0.53] .492 
  Preventive health care 
  b SE b Beta [95%-CI] p R 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 .23 [0.19, 0.27] .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 
Step 3 Age .12 0.02 .12 [0.07, 0.17] <.001 .23 [0.19, 0.27] .00 [-0.04, 0.04] 
Gender .19 0.02 .19 [0.15, 0.24] <.001 
Shift work -.05 0.02 -.05 [-0.09, -0.01] .017 
Fluid intelligence .02 0.03 .02 [-0.03, 0.08] .359 
Step 4 Age .12 0.02 .12 [0.07, 0.17] <.001 .23 [0.19, 0.27] .00 [-0.04, 0.04] 
Gender .19 0.02 .19 [0.15, 0.23] <.001 
Shift work -.17 0.10 -.17 [-0.37, 0.03] .099 
Fluid intelligence .01 0.03 .01 [-0.05, 0.07] .672 
Shift work x fluid intelligence .12 0.10 .12 [-0.08, 0.32] .224 
Step 5 Age .12 0.02 .12 [0.07, 0.17] <.001 .23 [0.19, 0.27] .00 [-0.04, 0.04] 
Gender -.06 0.15 -.06 [-0.37, 0.26] .713 
Shift work -.37 0.37 -.37 [-1.12, 0.37] .321 
Fluid intelligence -.13 0.08 -.13 [-0.29, .003] .103 
Shift work x fluid intelligence .38 0.37 .38 [-0.36, 1.13] .304 
Shift work x gender .21 0.40 .21 [-0.59, 1.02] .594 
Gender x fluid intelligence .29 0.16 .29 [-0.05, 0.62] .089 
Shift work x gender x fluid intelligence -.28 0.40 -.28 [-1.08, 0.53] .492 

<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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