Skip to main content
. 2015 Oct 21;10(10):e0139713. doi: 10.1371/journal.pone.0139713

Table 1. Percentages of participants consuming each of 30 food groups by dietary pattern (DP) with importance factor*.

Food group DP1: High Red Meat DP2: Low Meat DP3: High Butter Importance factor (IF)
n = 277 n = 260 n = 256 range: 0–1
Fruits 71.1% 88.8% 77.3% 0.06
Vegetable 90.6% 72.7% 89.5% 0.09
Potato and potato dishes 95.3% 58.1% 90.6% 0.31
Legumes 54.2% 15.0% 49.6% 0.22
Nuts 2.2% 11.2% 8.6% 0.04
Refined grains and cereal products 84.5% 74.6% 85.9% 0.03
Whole grains and cereal products 84.8% 89.6% 76.6% 0.04
Fish and sea food 27.4% 45.8% 29.7% 0.05
Red meats and meat dishes 88.4% 44.6% 68.8% 0.26
Bacon and ham 46.2% 44.2% 58.6% 0.03
Poultry 41.2% 23.8% 35.9% 0.04
Processed and other meats 22.0% 14.6% 27.0% 0.03
Eggs 32.9% 45.4% 38.7% 0.02
Soups 19.5% 33.1% 18.0% 0.04
Butter 7.9% 33.8% 98.4% 1.00
Saturated fat spreads and margarine 24.9% 17.3% 7.8% 0.06
Unsaturated fat spreads and oils 70.0% 60.8% 5.5% 0.56
Gravy 54.6% 5.8% 44.1% 0.34
Low fat dairy 58.8% 70.8% 43.0% 0.09
High fat dairy 53.1% 77.3% 60.5% 0.08
Preserves and syrups 45.5% 62.7% 51.2% 0.04
Chocolate 28.5% 39.6% 30.1% 0.02
Biscuits and cakes 84.1% 83.5% 86.3% <0.02
Deserts and sweets 68.6% 63.1% 62.9% <0.02
Snacks and savouries 17.3% 46.2% 29.3% 0.11
Tea 94.9% 91.2% 93.0% <0.02
Coffee 40.4% 70.4% 40.6% 0.14
Alcohol 23.5% 44.2% 35.2% 0.06
Hot drinks 12.3% 16.8% 11.7% <0.02
Soft sugary drinks 41.2% 31.5% 39.1% <0.02

*DP were derived using the SPSS Two-Step clustering of 30 food groups (coded as binary variable: absence or presence of food group). Seven hundred and ninety-three participants had complete dietary data and were used in cluster analysis.

Eight food groups contributing the most to dietary pattern separation are indicated in bold.