Identification of Salty Dietary Patterns of the Japanese Macroregion
Table 4
Factor loadings of food groups in dietary patterns identified using PLS regression analysis.
Foods
Factor 1 2013
Factor 1 2018
Factor 2 2013
Factor 2 2018
Factor 3 2013
Factor 3 2018
Rice
−0.11
White bread
−0.11
Spaghetti
0.11
−0.17
−0.15
0.10
Wheat flour
0.12
0.20
Tuna fish
−0.21
−0.20
0.13
0.19
Sardines
0.14
−0.23
−0.18
Flounder
0.15
0.16
−0.18
−0.22
Salmon
0.20
0.18
−0.13
−0.10
0.03
Mackerel
0.14
0.14
−0.17
−0.14
Saury
0.20
0.19
0.00
Cuttlefish
0.22
0.18
−0.10
−0.17
Shrimps and lobsters
−0.18
−0.17
Crabs
0.10
−0.21
−0.13
Scallops
0.20
0.16
Salted salmon
0.22
0.23
Salted pollock roe
0.19
0.18
Dried young sardines
−0.11
−0.11
0.19
Dried horse mackerel
−0.14
0.21
Beef
−0.12
−0.13
0.13
−0.11
Pork
0.14
0.14
−0.19
−0.15
Chicken
−0.14
Mixed ground meat
−0.16
−0.15
0.15
0.11
Fresh milk
0.10
0.13
0.15
Butter
−0.19
−0.20
0.15
0.10
Cheese
−0.25
−0.26
0.18
0.17
Eggs
0.17
0.12
−0.11
−0.20
Spinach
0.18
0.19
−0.17
0.13
Welsh onions
0.14
0.19
−0.22
−0.20
Lettuce
−0.24
−0.16
0.23
Broccoli
0.13
0.14
−0.21
−0.20
0.16
Bean sprouts
0.22
0.23
Radishes
0.15
0.16
−0.19
−0.21
Bamboo shoots
−0.11
0.28
String beans
0.11
0.13
−0.14
−0.18
Tomatoes
−0.19
−0.20
Green peppers
−0.17
−0.22
“Wakame,” seaweed
0.18
0.20
Dried tangle
0.18
0.18
0.14
“Tofu,” bean curd
0.14
Pickled radishes
0.16
0.15
−0.17
Apples
0.20
0.21
Grapefruits
0.12
0.14
−0.20
−0.19
Melons
0.11
0.11
−0.22
Kiwi fruits
−0.16
−0.19
Edible oil
0.14
−0.22
−0.11
Salt
0.21
0.14
0.12
0.20
0.16
0.23
Soy sauce
0.13
0.16
“Miso,” soybean paste
0.18
0.12
0.12
Sugar
0.16
0.19
−0.14
Dressing
0.20
Jam
−0.12
−0.10
0.18
0.16
Green tea
−0.10
Black tea
−0.12
−0.19
0.20
0.15
“Sake”
0.14
0.18
Wine
0.12
−0.18
−0.20
0.15
Alcoholic beverages
−0.16
Spearman’s correlation coefficient between 2013 and 2018
0.84
0.88
0.63
Family Income and Expenditure Survey 2013/2018. Factor loadings less than ±0.10 are not listed. Spearman's correlation coefficient was calculated using the values of all 109 foods. .
