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Table 4 Principal component analysis (PCA) of household food frequency (RURAL)

From: The association between dietary consumption, anthropometric measures and body composition of rural and urban Ghanaian adults: a comparative cross-sectional study

Food items in the PCA

Diverse diet

Vegetable convenience pattern

Non convenience pattern

Fast food pattern

Instant noodles

0.642

   

Processed milk

0.568

   

Salty snacks

0.556

   

Sugar sweetened beverages

0.555

   

Tea or coffee

0.531

 

0.379

 

Meat

0.522

   

Confectionery

0.504

   

Eggs

0.474

   

Commercial bread

0.455

−0.364

  

Rice

0.433

   

Vegetables raw fresh

0.424

 

−0.365

 

breakfast cereal

0.42

 

0.322

 

Organ meat

0.418

   

chicken

0.417

   

friedfish

0.415

  

0.318

sweets

0.404

   

Margarine or butter

0.358

   

Processed meat

0.34

   

Legumes

    

Fish

    

Milk

    

Salted dried fish

   

Diet beverages

 

0.571

  

Vegetables fried

0.504

  

Fast food

0.356

0.500

 

0.331

Restaurant meals

0.380

0.469

 

0.361

Nuts

 

0.337

0.307

 

Sugar

0.363

 

0.497

 

Ready to eat meals

−0.377

−0.470

 

Pasta

0.371

 

−0.310

−0.454

Vegetables (cooked)

0.434

0.320

−0.438

Fried potatoes

0.303

 

−0.367

−0.402

Fruit

0.325

  

0.376

Roots tubers

   

0.356

  1. Principal component analysis of food frequency data. Kaiser-Meyer-Olkin Measure of Sampling Adequacy 0.740, Bartlett’s Test of Sphericity < 0.001