Traditional Dietary Pattern Increases Risk of Prostate Cancer in Argentina: Results of a Multilevel Modeling and Bias Analysis from a Case-Control Study
Table 2
Factor loading matrix for dietary patterns, Córdoba, Argentina (2008–2012).
Food Groups
Traditional Pattern
Prudent Pattern
Carbohydrate Pattern
Cheese Pattern
Milk/yogurt
0.1762
0.1780
0.1496
0.3391
Cheese
0.2212
0.2715
−0.2937
0.4665
Lean red meat
0.3395
−0.1049
−0.2270
0.1403
Fatty red meat
0.4868
−0.1796
0.0283
−0.2882
Offal
0.4355
−0.2090
−0.0477
−0.3108
Processed meat
0.4316
−0.0768
−0.0843
−0.1595
Chicken
0.1273
0.2138
0.3717
−0.1484
Fish
0.0390
0.3644
0.1642
−0.4637
Eggs
0.3913
−0.1943
−0.0578
−0.0988
Fruit
0.1603
0.2817
−0.3770
0.2776
Nonstarchy vegetables
0.3303
0.4638
−0.1302
0.1328
Starchy vegetables
0.5169
0.1854
−0.2335
−0.1884
Nuts
0.1136
0.1399
0.2209
0.0656
Refined cereals
0.3032
−0.3946
0.0874
0.2006
Whole grains
−0.0454
0.5012
−0.2888
−0.1246
Bakery products
0.2489
−0.1775
0.4549
0.1017
Pulses
−0.1131
0.1059
0.1264
−0.1407
Added sugar and sweets
0.5128
−0.2968
0.2170
0.2944
Candies
0.4152
0.2613
0.3331
0.2706
Fats
0.4348
0.3442
0.2577
−0.4030
Vegetable oils
0.5967
0.1190
−0.0961
−0.0144
Infusions
0.3032
0.0261
−0.2030
0.2505
Alcoholic drinks
0.3357
−0.4868
−0.2894
−0.1957
Sugary drinks
0.1032
0.1061
0.5419
0.2183
% Total variance explained
11.81
7.29
6.53
5.89
% Total variance explained accumulated
11.81
19.10
25.63
31.52
Note: food groups with factor loadings ≥0.40 are in bold.