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Table 2 Socio-demographic attributes and health-related factors associated with high occupational sitting time compared with low occupational sitting time: stratified by gender

From: Excessive sitting at work and at home: Correlates of occupational sitting and TV viewing time in working adults

  Women Men
Correlates Unadjusted odds ratio (95 % CI) p Fully adjusted odds ratio (95 % CI)ab p Unadjusted odds ratio (95 % CI) p Fully adjusted odds ratio (95 % CI)ab p
Socio-demographic attributes         
Age (years) 0.96 (0.93, 0.99)** 0.003 0.96 (0.94, 0.99)* 0.021 0.98 (0.96, 1.00) 0.096 0.99 (0.97, 1.02) 0.578
Educational attainment         
  High school or less 1.00   -   1.00   1.00  
  Technical/vocational 0.96 (0.60, 1.52) 0.858 -   0.54 (0.36, 0.79)** 0.002 0.58 (0.38, 0.88)* 0.011
  Bachelor’s degree or higher 1.51 (0.96, 2.38) 0.076 -   1.77 (1.18, 2.65)** 0.006 1.10 (0.68, 1.78) 0.711
Marital status         
  De facto/married 1.00   1.00   1.00   -  
  Separated/divorced/ widowed 1.19 (0.75, 1.89) 0.453 1.99 (1.15, 3.46)* 0.014 0.55 (0.29, 1.01) 0.054 -  
  Single 1.79 (0.88, 3.65) 0.108 2.01 (0.92, 4.43) 0.082 0.55 (0.28, 1.10) 0.091 -  
Child(ren) in the household 0.98 (0.68, 1.42) 0.931 -   1.67 (1.25, 2.23)** 0.001 1.31 (0.93, 1.83) 0.124
Occupation         
  Professional/ managerial 1.00   -   1.00   1.00  
  White collar/ administrative 0.99 (0.68, 1.45) 0.976 -   0.74 (0.46, 1.18) 0.201 1.12 (0.66, 1.90) 0.683
  Blue collar c   -   0.20 (0.13, 0.29)*** p < 0.001 0.28 (0.18, 0.45)*** p < 0.001
Annual gross household income         
  Less than $60,000 1.00   1.00   1.00   1.00  
  $60,000-$125,000 2.30 (1.37, 3.87)** 0.002 2.71 (1.53, 4.79)** 0.001 2.49 (1.44, 4.31)** 0.001 1.62 (0.89, 2.93) 0.113
  $125,000+ 2.02 (1.19, 3.41) ** 0.009 2.61 (1.38, 4.95)** 0.003 4.37 (2.53, 7.54)*** p < 0.001 1.86 (1.00, 3.45)*f 0.049
  Don’t know/ Preferred not to say 0.68 (0.23, 2.00) 0.480 1.04 (0.33, 3.31) 0.944 1.49 (0.52, 4.27) 0.462 0.77 (0.25, 2.41) 0.656
Average weekday hours worked 1.10 (0.97, 1.25) 0.130 1.11 (0.98, 1.27) 0.107 1.28 (1.17, 1.40)*** p < 0.001 1.26 (1.14, 1.39)*** p < 0.001
Health-related factors         
Leisure-time physical activity (mins/week)d 0.99 (0.98, 1.01) 0.442 0.99 (0.97, 1.01) 0.269 0.99 (0.98, 1.00) 0.123 0.98 (0.97, 1.00)*f 0.014
Smoking status         
  Current smoker 1.00   -   1.00   -  
  Ex-smoker 1.03 (0.40, 2.67) 0.953 -   2.07 (1.07, 3.98)* 0.030 -  
  Non-smoker 1.22 (0.48, 3.07) 0.673 -   2.17 (1.15, 4.08)* 0.017 -  
BMI (kg/m2) 1.01 (0.98, 1.04) 0.586 -   1.02 (0.99, 1.05) 0.208 -  
Energy intake (kJ/day)e 1.00 (0.99, 1.01) 0.414 -   0.99 (0.99, 1.00)* f 0.028 -  
Alcohol consumption (g/day)         
  ≤10 1.00   1.00   1.00   -  
  >10- ≤ 20 1.63 (0.99, 2.70) 0.054 1.53 (0.91, 2.57) 0.108 0.86 (0.58, 1.29) 0.474 -  
  >20 1.22 (0.76, 1.98) 0.411 1.11 (0.67, 1.83) 0.693 0.92 (0.67, 1.27) 0.626 -  
Sitting time         
TV viewing time (average hours/day) 0.99 (0.82, 1.20) 0.937 1.06 (0.86, 1.29) 0.601 0.87 (0.76, 1.00) 0.052 1.00 (0.86, 1.17) 0.958
  1. Women: low work sitting category (n = 264); high work sitting category (n = 202). Men: low work sitting category (n = 459); high work sitting category (n = 310)
  2. *p < 0.05 **p < 0.01 ***p < 0.001
  3. aLogistic regression model for women adjusted for age, marital status, household income, average weekday hours worked, alcohol consumption, leisure-time physical activity and TV viewing time
  4. bLogistic regression model for men adjusted for age, educational attainment, children in the household, occupation, household income, average weekday hours worked, leisure-time physical activity and TV viewing time
  5. cWomen in blue collar occupations were excluded from this analysis due to the small number of blue collar workers in the high occupational sitting group
  6. dOR corresponds to each additional 30 min/week of leisure-time physical activity
  7. eOR corresponds to each additional 100 kJ of energy consumed per day
  8. fSignificant confidence intervals include the value of 1.00 due to rounding