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. 2022 Jan 28;19(3):1514. doi: 10.3390/ijerph19031514

Table 5.

Multiple regression analysis of work percentage left on identification.

Identification with Organization Identification with Colleagues
B (SE B) 95% CI p B (SE B) 95% CI p
Age 0.02 (0.01) [0.01, 0.03] 0.002 0.02 (0.01) [0.01, 0.03] 0.000
Gender 0.22 (0.17) [–0.10, 0.55] 0.178 0.32 (0.15) [0.02, 0.61] 0.037
Living Situation 0.19 (0.07) [–0.21, 0.58] 0.354 0.20 (0.18) [–0.16, 0.56] 0.269
Increased Care –0.17 (0.20) [–0.70, 0.37] 0.537 –0.10 (0.25) [–0.58, 0.39] 0.703
Supervisory Function –0.37 (0.27) [–0.73, –0.01] 0.043 –0.47 (0.17) [–0.80, –0.14] 0.005
Days in Lockdown –0.02 (0.18) [–0.05, 0.01] 0.151 –0.01 (0.02) [–0.04, 0.02] 0.491
Normal Job Hours 0.01 (0.01) [–0.01, 0.02] 0.197 0.01 (0.01) [0.00, 0.02] 0.055
Work % Left 0.01 (0.00) [0.00, 0.01] 0.015 0.00 (0.00 [–0.00, 0.01] 0.128
Model N = 408; R2 = 0.08, F (8, 399) = 4.44, p < 0.001 N = 408; R2 = 0.10, F (8, 399) = 5.58, p < 0.001