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Table 1 Rotated factor matrix for dietary patterns created by using principal component analysis. Factor loadings with absolute values of > 0.35 have been presented in bold. Negative loadings indicate the lack of foodstuff in question belonging to certain dietary patterns

From: Pessimism, diet, and the ability to improve dietary habits: a three-year follow-up study among middle-aged and older Finnish men and women

Foodstuff Dietary pattern
Healthy Sweet unhealthy Fatty unhealthy Traditional
Porridge, cereals 0.382 −0.001 −0.152 0.249
Fish 0.397 −0.109 0.060 −0.097
Lunch meats, cold cuts 0.359 0.214 0.055 0.142
Fresh vegetables/root vegetables 0.664 −0.018 −0.131 0.005
Cooked vegetables 0.646 −0.049 −0.032 − 0.098
Berries and fruits 0.589 0.076 −0.171 0.181
Fruit or berry juice 0.378 0.081 0.189 0.037
Sweet pastries 0.109 0.597 −0.031 0.256
Ice cream 0.088 0.495 0.085 −0.131
Candies −0.043 0.701 0.033 0.078
Chocolate 0.035 0.677 0.098 −0.032
Salty snacks −0.024 0.352 0.195 −0.221
Fried potatoes, French fries −0.005 0.026 0.489 −0.059
Low-fat cheese 0.411 0.142 −0.368 −0.066
Other cheese −0.004 0.025 0.609 0.108
Sausages −0.147 0.240 0.493 0.065
Sliced sausages −0.111 0.139 0.558 0.053
Eggs 0.151 0.013 0.475 −0.057
Soft drinks −0.103 0.305 0.352 −0.125
Meat dishes 0.028 0.132 0.366 0.552
Chicken, turkey 0.443 0.003 −0.048 −0.415
Boiled or mashed potatoes 0.230 0.002 0.101 0.658
Rice, pasta 0.294 0.088 0.115 −0.409
Pizza, hamburgers −0.021 0.263 0.169 0.302