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. 2013 Dec 1;13:1110. doi: 10.1186/1471-2458-13-1110

Table 3.

Odds of having high levels of total, occupational and leisure-time sitting according to occupational indicators

 
High total sitting time
High total sitting time
High occupational sitting time
High occupational sitting time
High leisure-time sitting
High leisure-time sitting
  (Bivariate) (Multiple) a (Bivariate) (Multiple) b (Bivariate) (Multiple) c
General
Full-time job
1
1
1
1
1
1
Part-time job
0.56 (0.43 – 0.75)
0.64 (0.42 – 0.98)
0.82 (0.62 – 1.08)
0.67 (0.42 – 1.05)
0.96 (0.73 – 1.27)
0.97 (0.64 – 1.48)
White-collar job
1
1
1
1
1
1
Blue-collar job
0.61 (0.47 – 0.80)
0.55 (0.37 – 0.82)
0.20 (0.15 – 0.27)
0.32 (0.21 – 0.49)
1.08 (0.83 – 1.40)
1.00 (0.68 – 1.47)
< 5 years in same org
1
1
1
1
1
1
≥ 5 years in same org
1.15 (0.91 – 1.45)
0.95 (0.68 – 1.32)
1.62 (1.28 – 2.04)
1.28 (0.89 – 1.84)
0.90 (0.72 – 1.14)
0.78 (0.56 – 1.08)
Shift
Non shift-worker
1
1
1
1
1
1
Shift-worker
1.01 (0.79 – 1.28)
1.14 (0.71– 2.29)
0.42 (0.33 – 0.54)
0.80 (0.48 – 1.34)
1.00 (0.79 – 1.27)
0.78 (1.49 – 1.24)
No night shifts
1
1
1
1
1
1
Does night shifts
1.11 (0.84 – 1.46)
1.38 (0.78 – 2.45)
0.42 (0.31 – 0.56)
0.76 (0.41 – 1.44)
1.24 (0.94 – 1.63)
1.32 (0.75 – 2.32)
No rotational shifts
1
1
1
1
1
1
Does rotational shifts
1.11 (0.82 – 1.50)
1.12 (0.62 – 2.02)
0.40 (0.30 – 0.55)
0.72 (0.38 – 1.38)
1.21 (0.89 – 1.63)
1.56 (0.88 – 2.78)
Demand
≤ 40 hrs/wk of work
1
1
1
1
1
1
> 40 hrs/wk of work
1.19 (0.93 – 1.51)
0.82 (0.54 – 1.27)
0.97 (0.77 – 1.23)
0.76 (0.47 – 1.21)
0.73 (0.57 – 0.93)
0.82 (0.54 – 1.24)
≤ 8 hrs/day of work
1
1
1
1
1
1
> 8 hrs/day of work
1.08 (0.86 – 1.36)
0.82 (0.54 – 1.26)
0.94 (0.75 – 1.18)
1.57 (0.99 – 2.49)
0.62 (0.49 – 0.78)
0.44 (0.29 – 0.68)
Low physical demand
1
1
1
1
1
1
High physical demand 0.37(0.29 – 0.47) 0.41 (0.29 – 0.58) 0.18 (0.14 – 0.24) 0.26 (0.18 – 0.37) 0.85 (0.67 – 1.07) 1.02 (0.71– 1.45)

amultiple logistic regression model adjusted for gender, age, education, income, BMI, physical activity and all work variables.

bmultiple logistic regression model adjusted for gender, age, education, income, BMI, physical activity, leisure-time sitting and all work variables.

cmultiple logistic regression model adjusted for gender, age, education, income, BMI, physical activity, occupational sitting time and all work variables.

Values in bold indicate a significant odds ratio.