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. 2013 Aug 21;13:769. doi: 10.1186/1471-2458-13-769

Table 3.

Separate and joint effects of education and occupation on central obesity – Four Provinces Study, China (2008/09)

Complete cases (N = 1921)
Unadjusted
Age group and parityadjusted
Age group, parity and health behaviour2 adjusted
Age group, parity, health behaviour and area of residence adjusted
  OR (95%CI) P-value3 OR (95%CI) P-value3 OR (95%CI) P-value3 OR (95%CI) Pcpvalue3
Separate effects1
Education level
None
1
 
1
 
1
 
1
 
Any
1.24 (1.02,1.50)
0.03
1.27 (1.05, 1.55)
0.02
1.19 (0.97, 1.45)
0.09
0.96 (0.78, 1.20)
0.7
Occupational status
 
Agricultural
1
 
1
 
1
 
1
 
Non-agricultural
1.61 (1.33, 1.95)
<0.001
1.59 (1.30, 1.94)
<0.001
1.46 (1.19, 1.81)
<0.001
1.11 (0.84, 1.45)
0.4
Joint effects (Odds of obesity for occupational status [Non-agricultural vs. agricultural] within education levels) 3
Education level
None
2.28 (1.57, 3.31)
<0.001
2.21 (1.52, 3.21)
<0.001
2.10 (1.43, 3.07)
<0.001
1.66 (1.11, 2.49)
0.01
Any
1.33 (0.99, 1.78)
0.06
1.25 (0.92, 1.70)
0.1
1.15 (0.84, 1.57)
0.4
0.84 (0.58, 1.20)
0.3
P for interaction4 0.02   0.02   0.02   <0.01  

1 Odds ratios of obesity for education level [Any vs. None] and occupational status [Non-agricultural vs. agricultural].

2 Health behaviours included current alcohol consumption, smoking status, meat consumption and fruit and vegetable consumption.

3P-value for the Wald test.

4P-value for the LR test comparing the models with and without the interaction term between education and occupation.