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Table 4 Multilevel regression models examining association between fruit and vegetable consumption and both the presence and count of supermarkets stratified by household vehicle ownership

From: Does the choice of neighbourhood supermarket access measure influence associations with individual-level fruit and vegetable consumption? A case study from Glasgow

  Fruit Vegetable Fruit and vegetables combined
  coef. s.e. p coef. s.e. p coef. s.e. p
Households without a car (n. 633):          
Presence of supermarkets within 0.4 km road network buffer 0.657 (0.247) 0.008 0.113 (0.235) 0.631 0.777 (0.414) 0.060
Count of supermarkets within 0.4 km road network buffer 0.283 (0.184) 0.125 0.005 (0.172) 0.977 0.294 (0.305) 0.335
Presence of supermarkets within 1 km road network buffer 0.005 (0.162) 0.973 0.067 (0.151) 0.659 0.078 (0.269) 0.772
Count of supermarkets within 1 km road network buffer 0.077 (0.072) 0.280 −0.008 (0.067) 0.909 0.072 (0.119) 0.541
Households with a car (n. 408):          
Count of supermarkets within 3 km road network buffer 0.055 (0.023) 0.015 0.059 (0.024) 0.014 0.112 (0.041) 0.006
Count of supermarkets within 5 km road network buffer 0.009 (0.013) 0.465 −0.002 (0.014) 0.888 0.007 (0.024) 0.756
  1. Models adjusted for age, sex and education.
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International Journal of Health Geographics

ISSN: 1476-072X