Table 2.
Total (n = 875) |
Indian (n = 234) |
Pakistani (n = 166) |
Bangladeshi (n = 63) |
Caribbean (n = 126) |
African (n = 108) |
Chinese (n = 53) |
white-British (n = 125) |
|
Don't know (n = 348) | 39.8 | 37.6 | 50.0 | 65.1 | 45.2 | 48.1 | 24.5 | 11.2 |
Diet (n = 274) – breakdown below | 31.3 | 34.2 | 23.4 | 17.5 | 28.4 | 23.1 | 45.3 | 47.2 |
Bad diet (fast food, fatty foods) (n = 114) | 13.0 | 13.7 | 7.2 | 3.2 | 10.1 | 12.0 | 24.6 | 24.8 |
Low fruits/vegetables diet (n = 34) | 3.9 | 5.1 | 3.0 | 1.6 | 1.8 | 0.9 | 5.7 | 8.0 |
Low fibre/roughage diet (n = 27) | 3.1 | 2.2 | 0.6 | 3.2 | 1.8 | 3.7 | 7.6 | 7.2 |
Spicy foods (n = 24) | 2.7 | 3.9 | 3.6 | 3.2 | 3.7 | 0 | 3.8 | 0.8 |
Meat (n = 20) | 2.3 | 3.4 | 2.4 | 0 | 4.6 | 2.8 | 0 | 0 |
Water (n = 20) | 2.3 | 2.6 | 1.8 | 3.2 | 0.9 | 0.9 | 1.9 | 4.8 |
Cholesterol (n = 8) | 0.9 | 1.3 | 1.8 | 0 | 1.8 | 0 | 0 | 0 |
Refined foods (n = 7) | 0.8 | 1.3 | 1.2 | 1.6 | 0 | 0 | 1.9 | 0 |
Milk/dairy products (n = 5) | 0.6 | 0.8 | 0.6 | 0 | 0.9 | 0.9 | 0 | 0 |
Salt/sugar (n = 5) | 0.6 | 0 | 1.2 | 1.6 | 0 | 0.9 | 1.9 | 0 |
Carbohydrates (n = 4) | 0.4 | 0 | 0 | 0 | 2.8 | 0 | 0 | 0.8 |
Caffeine (n = 3) | 0.3 | 0.4 | 0 | 1.6 | 0.9 | 0 | 0 | 0 |
Fish (n = 2) | 0.3 | 0 | 0 | 0 | 0.9 | 0 | 0 | 0.8 |
Protein (n = 1) | 0.1 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 |
Lifestyle (alcohol, smoking, weight, exercise, hygiene) (n = 94) | 10.7 | 7.7 | 9.6 | 1.6 | 10.4 | 11.2 | 5.7 | 22.4 |
Psychological factors (stress, depression) (n = 53) | 6.0 | 7.3 | 4.2 | 3.2 | 10.3 | 6.5 | 7.5 | 2.4 |
Environmental factors (pollution, preservatives) (n = 37) | 4.0 | 3.4 | 4.8 | 6.3 | 4.0 | 2.8 | 3.8 | 5.6 |
Health problems (n = 29) | 3.3 | 4.2 | 2.4 | 3.2 | 4.0 | 3.7 | 1.9 | 1.6 |
Family history (n = 17) | 1.9 | 1.3 | 3.0 | 0 | 1.6 | 0.9 | 1.9 | 4.0 |
Lack of knowledge/ignorance (n = 12) | 1.3 | 1.7 | 0 | 1.6 | 0 | 0.9 | 0 | 4.8 |
Other (n = 9) | 1.0 | 0.9 | 1.2 | 1.6 | 0.8 | 0.9 | 0 | 1.6 |
Drugs/medicines (n = 5) | 0.6 | 0.4 | 0 | 0 | 0.8 | 1.9 | 0 | 0.8 |
Chance (n = 5) | 0.6 | 0.4 | 0.6 | 0 | 0 | 0 | 0 | 2.4 |
Psychosocial factors (e.g. poverty, unemployment) (n = 4) | 0.4 | 0.9 | 1.2 | 0 | 0 | 0 | 0 | 0 |
NB: counts do not add up to 100% in each column as some participants mentioned more than one factor. In the diet breakdown percentages are for the whole sample.