Table 5 Additive interaction between quartiles of fast-food outlet proportion and household income on the odds of frequent processed meat consumption^a (more than once per week), modelled using a binomial logistic regression model in the Greater London UK Biobank sample, UK (n = 51,090)

>  100,000

ref ^c

0.95 (0.82, 1.10);

P = 0.495^d

1.06 (0.89, 1.27);

P = 0.502^d

1.11 (0.90, 1.37);

P = 0.335^d

1.19 (0.93, 1.54)

P = 0.158^e

52,000–100,000

0.98 (0.86, 1.11);

P = 0.742^d

1.13 (1.00, 1.29);

P = 0.047^d

1.22 (1.07, 1.39);

P = 0.003^d

1.34 (1.17, 1.54);

P < 0.001^d

1.39 (1.20, 1.62)

P < 0.001^e

31,000–51,999

1.06 (0.92, 1.21);

P = 0.418^d

1.12 (0.99, 1.28);

P = 0.079^d

1.25 (1.10, 1.42);

P = 0.001^d

1.41 (1.24, 1.61);

P < 0.001^d

1.31 (1.12, 1.54)

P = 0.001^e

<  31,000

1.17 (1.03, 1.33);

P = 0.015^d

1.29 (1.14, 1.46);

P < 0.001^d

1.38 (1.22, 1.55);

P < 0.001^d

1.46 (1.29, 1.65);

P < 0.001^d

1.29 (1.13, 1.46)

P < 0.001^e

1.11 (0.97, 1.28)

P = 0.117^f

1.27 (1.09, 1.48)

P = 0.002^f

1.30 (1.09, 1.56)

P = 0.003^f

1.45 (1.18, 1.78)

P < 0.001^f