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.