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Table 5 Principal component analysis (PCA) of household food frequency (URBAN)

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 PCA

Diverse diet

Meat pattern

Staple pattern

Non-meat pattern

eggs

0.606

   

sweets

0.587

   

confectionery

0.573

   

Processed milk

0.519

   

Margarine or butter

0.492

   

milk

0.431

   

Sugar sweetened beverages

0.429

   

sugar

0.412

−0.358

  

Instant noodles

0.397

   

Processed meat

0.377

 

−0.356

 

Vegetables fried

0.368

   

Fried potatoes

0.363

   

Ready to eat meals

 

0.535

−0.341

 

Tea or coffee

0.404

−0.534

  

Vegetable cooked

0.335

−0.511

  

Organ meat

0.317

0.455

  

meat

 

0.455

 

−0.32

Fried fish

 

0.432

0.346

 

chicken

 

0.357

  

fruit

 

0.336

  

rice

    

maize

  

0.524

 

Salted dried fish

0.333

 

0.501

 

Commercial bread

0.341

 

−0.377

 

Vegetables raw fresh

  

0.332

 

Diet beverages

    

Roots tubers

    

nuts

   

0.498

fish

   

0.457

Breakfast cereal

0.337

  

0.389

Fast food

0.325

  

−0.38

legumes

0.305

0.302

 

0.309

Salty snacks

   

0.301

  1. Principal component analysis of food frequency data. Kaiser-Meyer-Olkin Measure of Sampling Adequacy 0.651, Bartlett’s Test of Sphericity < 0.001
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