Table 2

Factors associated with regular increase in out-of-hours working on multivariable logistic regression (N=125 included in analysis)

Group demographics%NOR95% CIP value
Gender
 Male68.00(n=85)1
 Female32.00(n=40)1.680.60 to 4.750.327
Ethnicity
 White Caucasian84.00(n=105)1
 Black and Minority Ethnicity16.00(n=20)3.20.95 to 10.860.062
Consultant level
 Established in post (>5 years)62.40(n=78)1
 New (<5 years in post)9.60(n=12) 5.83 1.15 to 29.5 0.033
 Within 5 years of retirement28.00(n=35)1.240.31 to 5.030.763
Working pattern
 Less than full time (<10 PAs/week)17.60(n=22)1
 Full time (10 or more PAs/week)82.40(n=103) 11.56 2.26 to 59.3 0.003
Age
 55 years old or more32.00(n=40)1
 Less than 55 years old68.00(n=85)1.190.32 to 4.460.797
Personally developed COVID-19
 No72.00(n=90)1
 Yes28.00(n=35) 4.09 1.49 to 11.2 0.006
Have retired early or are considering early retirement due to the pandemic
 No44.00(n=55)1
 Yes56.00(n=70) 4.04 1.55 to 10.56 0.004
  • P-value < 0.05 signifies statistical significance. Variables reaching statistical significance are highlighted in bold.

  • CI, Confidence Interval; N, Number; OR, Odds Ratio; PAs, programmed activities.