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Table 4 Major foods contributing to protein intake of CKD patients according to DM comorbidity and GFR category

From: Foods contributing to nutrients intake and assessment of nutritional status in pre-dialysis patients: a cross-sectional study

Ranking (% of Protein/d)

Total

(n = 256)

DM-CKD

(n = 107)

Non-DM-CKD

(n = 149)

P value2, 3, 4

Early-CKD

(n = 49)

Late-CKD

(n = 58)

Early-CKD

(n = 77)

Late-CKD

(n = 72)

1 Refined grains4,5

17.1 ± 0.51

14.6 ± 1.1b

16.5 ± 1.0ab

16.7 ± 1.9ab

19.7 ± 1.0a

< 0.01

2 Fish4

13.0 ± 0.7

11.7 ± 1.3

14.0 ± 1.4

13.2 ± 1.5

12.7 ± 1.4

0.76

3 Red meat4

12.9 ± 0.6

14.4 ± 1.3

12.0 ± 1.3

13.2 ± 1.5

12.5 ± 1.1

0.49

4 Legumes4, 5

8.5 ± 0.5

10.8 ± 1.2a

10.4 ± 1.4ab

6.7 ± 0.8b

7.2 ± 0.7ab

< 0.01

5 Eggs4

5.4 ± 0.3

5.0 ± 0.5

4.6 ± 0.6

5.5 ± 0.6

6.3 ± 0.7

0.37

6 Whole grains4, 5

4.9 ± 0.4

6.4 ± 0.7a

6.2 ± 1.0ab

3.9 ± 0.4b

4.0 ± 0.7b

< 0.01

7 Seafood2

4.5 ± 0.4

3.7 ± 0.8

4.0 ± 1.0

5.3 ± 0.6

4.7 ± 0.8

0.31

8 Cooked vegetables2

4.3 ± 0.2

4.2 ± 0.3

4.1 ± 0.4

4.3 ± 0.5

4.6 ± 0.4

0.58

9 Poultry2

4.2 ± 0.5

5.0 ± 1.2

5.1 ± 1.5

4.3 ± 0.5

2.7 ± 0.8

0.83

10 Seasoning3

3.5 ± 0.1

3.7 ± 0.3

3.5 ± 0.2

3.5 ± 0.4

3.5 ± 0.3

0.88

  1. 1The data are presented as means ± SEMs (standard error of means)
  2. 2The variable was analyzed after transformed to natural logarithms and one-way ANOVA was used
  3. 3The variable was analyzed after transformed to square root and one-way ANOVA was used
  4. 4Kruskal-Wallis test was used
  5. 5Means with different letters indicate significant differences (P < 0.05) by Bonferroni multiple comparison test