Skip to main content

Table 3 Sex-adjusted odds ratios of being an alcohol consumer rather than a non-consumer depending on survey design, health, and birth cohort

From: Bias in estimates of alcohol use among older people: selection effects due to design, health, and cohort replacement

   Bivariate Within categories Model 4 Model 5
   OR p-value OR p-value OR p-value OR p-value
Survey design    Model 1     
  Interview succession (linear) 0.95 0.011 0.97 0.142 0.97 0.169 0.98 0.330
  Proxy 0.45 <0.001 0.49 <0.001 0.94 0.746 0.99 0.977
  Telephone 0.59 <0.001 0.89 0.493 0.82 0.209 0.73 0.054
Health    Model 2     
  Living in an institution (Women) 0.55 0.001 0.98 0.906 1.06 0.801 1.11 0.624
  Living in an institution (Men) 0.20 <0.001 0.39 <0.001 0.42 0.002 0.43 0.002
  ADL limitation 0.40 <0.001 0.58 <0.001 0.60 <0.001 0.65 0.005
  Mobility problem 0.45 <0.001 0.60 <0.001 0.61 <0.001 0.59 <0.001
Birth cohort    Model 3     
  Period 1992 1.00 ref 1.00 ref    1.00 ref
  2002 1.21 0.152 0.72 0.080    1.06 0.788
  2011 1.61 <0.001 0.59 0.039    1.07 0.795
  Birth cohort (linear) 1.44 <0.001 1.78 <0.001    1.31 0.026
  Age (linear) 0.58 <0.001 a      
  1. Significant estimates (p<0.05) are in bold aAs age, cohort and period cannot be analysed in the same model, and because the period change was not related to changed age distribution over the years, age was excluded in the full model