Table 1

Differences in response rate, self-reported health, occupation, and association between occupation and self-reported health between countries

CountryATBEBGCYCZDKEEFIFRDEGRHUIEITLVLTLUMTNLPLPTROSKSIESSETRGBp
Response rate (%)63.970.481.082.475.152.468.891.283.491.239.675.132.563.172.864.166.191.062.066.459.855.751.061.630.353.637.079.2
Men
 Poor self-reported health (%)13.814.818.32.418.08.544.522.213.122.67.426.96.75.242.842.518.411.123.130.730.427.510.522.813.618.618.616.0**
 Occupation (%)**
 Managers, professionals13.57.55.312.28.611.316.09.411.612.27.86.06.318.210.911.014.910.84.56.43.712.27.37.411.417.05.416.7
Technicians and associate professionals38.346.530.342.129.827.629.433.736.034.841.223.630.538.724.024.730.539.733.524.829.425.928.926.231.433.238.436.8
 Clerical support workers8.55.80.81.24.99.60.07.96.06.48.32.83.412.51.10.916.116.716.63.57.32.17.312.16.43.23.57.5
 Service and sales workers11.712.814.420.119.615.116.821.815.47.814.616.57.415.721.716.410.913.218.15.916.120.617.912.116.521.912.85.8
 Manual workers28.027.449.224.437.136.437.827.231.138.728.151.152.414.942.347.027.619.627.259.443.639.238.642.334.324.739.933.3
Women
 Poor self-reported health (%)16.216.628.61.819.613.544.121.618.017.310.328.57.36.455.758.120.324.622.329.440.640.410.825.814.920.927.113.4**
 Occupation (%)**
 Managers, professionals11.67.08.49.08.97.818.17.010.111.94.916.810.913.216.920.26.510.04.97.23.819.110.416.310.67.112.910.1
Technicians and associate professionals20.150.234.744.918.921.124.226.835.322.936.819.428.639.830.527.024.634.219.329.323.120.624.622.433.543.744.330.7
 Clerical support workers23.112.18.80.619.318.45.523.714.026.215.115.714.524.111.07.326.131.724.218.612.812.919.719.712.810.914.316.8
 Service and sales workers25.814.49.629.924.834.024.234.528.429.415.713.416.19.815.116.113.816.738.54.811.517.521.410.911.727.02.913.9
 Manual workers19.416.338.615.628.218.828.08.012.19.627.634.729.813.226.529.429.07.513.140.148.729.924.030.631.311.225.728.5
 OR of poor health2.58*2.034.96*1.232.621.212.352.83*1.473.24*3.652.53*2.108.021.511.7410.910.521.923.09*1.502.85*3.103.24*0.911.170.801.47
  • For country codes, see online appendix 1.

  • χ2 test/logistic regression analysis: *p<0.05; **p<0.0001.

  • OR adjusted for sex and age (manual workers vs managers), each country being studied separately.