Skip to main content
. 2021 Oct 15;18(20):10852. doi: 10.3390/ijerph182010852

Table 1.

Factor loadings to determine the association between food groups and factors representing dietary patterns a.

Food Items Dietary Patterns b
Factor 1:
“Protein-Rich”
Factor 2:
“Vegetables”
Factor 3: “Sugar, Oil, and Condiments”
Soybean and soybean products 0.66 0.26 0.10
Red meat 0.58 0.04 −0.04
Poultry 0.39 0.17 −0.08
Freshwater fish 0.63 0.15 0.04
Ocean fish 0.44 0.40 −0.06
Shellfish, Shrimp, and Crab 0.74 0.05 −0.07
Dark vegetables 0.01 0.88 0.02
Light colored vegetables 0.38 0.74 0.04
Added sugars −0.03 0.02 0.58
Cooking oil 0.06 −0.01 0.75
Condiments −0.05 0.05 0.79
Fruits 0.19 −0.02 0.17
Juice 0.00 −0.02 −0.02
Eggs 0.04 0.17 −0.03
Dairy and dairy products 0.02 0.19 0.09
Processed meat 0.07 0.01 0.00
Animal innards 0.11 −0.03 −0.01
Rice and rice products −0.05 0.22 −0.01
Wheat and wheat products 0.07 0.05 −0.02
Fried dough foods and potato chips 0.01 −0.04 0.02
Whole Grains and Mixed Beans −0.06 0.14 −0.09
Tubers 0.12 0.00 −0.01
Nuts and Seeds 0.08 −0.05 0.07
Sweets and desserts 0.00 0.01 0.08
Cakes, cookies, pies, and biscuits 0.02 −0.02 −0.02
Beverages −0.02 0.02 0.05
Alcoholic beverages 0.08 −0.08 0.23

a with promax rotation, the factor loading scores are identical to the correlation coefficients. Factor loadings with absolute value > 0.20 are shown in bold. For food group loads more than one dietary pattern, only the highest absolute value of loading is bolded. b Explained variance: “Protein-rich” dietary pattern, 8.81%; “vegetables” dietary pattern, 6.53%; and “sugar, oil, and condiments” dietary pattern, 6.22%.