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Table 1 Sample characteristics (N = 1994; aged 55–75 years) by educational levela, and univariate associations with no recreational walking (unadjusted).

From: Socioeconomic differences in lack of recreational walking among older adults: the role of neighbourhood and individual factors

  TOTAL Educational levela Unadjusted ORs for no recreational walkingc
    1-low 2 3 4-high  
  Nb %c %c %c %c %c  
Total sample 1994 100      
Recreational walking        
   Yes 1356 68.7 61.5 65.3 77.9 70.8  
   No 638 31.3 38.5 34.7 22.1 29.2  
Education        
   1 Primary education 281 12.5 - - - - 1.51 (1.09–2.09)
   2 Lower secondary 908 43.7      1.29 (1.01–1.64)
   3 Higher secondary 366 19.8      0.69 (0.50–0.94)
   4 Tertiary education 439 24.1      1.00
Monthly net household income        
   Less than 1200 euro 294 13.8 37.4 15.6 6.2 4.5 1.33 (0.97–1.83)
   1200–1800 euro 533 23.6 32.1 30.3 21.8 8.3 1.04 (0.79–1.38)
   1800–2600 euro 503 25.1 11.5 26.2 32.5 24.1 0.93 (0.70–1.23)
   More than 2600 euro 421 24.5 1.2 13.3 26.8 55.2 1.00
   Don't want to say/don't know 243 13.0 17.7 14.7 12.7 7.9 1.57 (1.14–2.16)
Sex        
   Male 958 47.7 42.6 32.0 59.2 69.1 1.00
   Female 1036 52.3 57.4 68.0 40.8 30.9 1.06 (0.87–1.28)
Age group        
   55–64 1053 63.5 52.5 64.4 67.4 64.2 1.00
   65–74 941 36.5 47.5 35.6 32.6 35.8 0.87 (0.71–1.07)
Country of birth        
   Netherlands 1872 93.7 87.5 97.5 95.0 89.0 1.00
   Other 106 6.3 12.5 2.5 5.0 11.0 0.88 (0.59–1.32)
Marital status        
   Married 1589 82.3 78.9 82.2 84.4 82.3 1.00
   Unmarried/divorced/widowed 390 17.7 21.1 17.8 15.6 17.7 1.20 (0.94–1.53)
General health status        
   Excellent 93 5.3 4.1 6.1 4.2 5.5 1.00
   Very good 314 18.6 8.2 15.4 23.4 26.0 1.06 (0.65–1.71)
   Good 1133 57.0 55.1 58.9 57.1 54.4 1.18 (0.76–1.85)
   Moderate 378 15.9 26.3 16.0 13.2 12.4 1.03 (0.63–1.69)
   Poor 27 0.9 2.1 0.8 0.5 0.9 0.86 (0.28–2.62)
   Missing 49 2.2 4.1 2.7 1.6 0.9 2.17 (1.04–4.52)
  1. aEducational level with 1 = primary education, 2 = lower secondary, 3 = higher secondary, and 4 = tertiary education.
  2. b The numbers (N) are unweighted, and reflect the actual numbers of participants in the dataset.
  3. c The percentages (%) and odds ratios (OR) are weighted and represent the prevalence rates as they existed in the population of Eindhoven by October 2004, which is the source population. The weight factors are calculated from the distribution of the characteristics in a random sample drawn from the municipal registry in Eindhoven, October 2004.