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Table 2 Percent of Venezuelan adults consuming food groups by sociodemographic subgroups*

From: Dietary intake and cardiometabolic risk factors among Venezuelan adults: a nationally representative analysis

 

Total

Sex

SES1

Age

Locality

Male

Female

P-value2

High & Medium- High

Medium

Relative Poverty

Extreme Poverty

P-value2

20–34

35–44

45–54

55–64

≥65y

P-value2

Rural

Urban

P-value2

n3

3402

1057

2345

 

656

1017

1441

241

 

682

577

700

744

699

 

554

2848

 

DDS4

   

0.131

    

0.734

     

0.703

  

0.405

Mean (SE)

2.28 (0.07)

2.21 (0.08)

2.34 (0.07)

 

2.27 (0.09)

2.30 (0.79)

2.29 (0.07)

2.37 (0.14)

 

2.28 (0.10)

2.33 (0.08)

2.23 (0.09)

2.31 (0.06)

2.19 (0.09)

 

2.11 (0.20)

2.32 (0.06)

 

White Bread

   

0.005

    

0.126

     

0.293

  

0.274

Monthly

10%

7%

12%

 

7%

9%

11%

12%

 

9%

10%

8%

11%

12%

 

10%

9%

 

Weekly

58%

58%

59%

 

56%

60%

59%

54%

 

61%

60%

58%

54%

52%

 

64%

57%

 

Daily

32%

35%

29%

 

37%

31%

30%

34%

 

30%

31%

33%

36%

37%

 

26%

33%

 

Red Meat

   

0.025

    

< 0.001

     

< 0.001

  

0.003

Monthly

19%

16%

21%

 

14%

13%

23%

36%

 

13%

17%

19%

27%

35%

 

28%

16%

 

Weekly

74%

77%

72%

 

80%

80%

69%

60%

 

78%

76%

75%

70%

61%

 

67%

76%

 

Daily

7%

7%

7%

 

6%

7%

8%

4%

 

9%

7%

6%

3%

4%

 

5%

8%

 

Cookies

   

0.0154

    

0.963

     

0.016

  

0.298

Monthly

28%

31%

25%

 

28%

28%

28%

28%

 

26%

26%

30%

30%

34%

 

25%

29%

 

Weekly

53%

51%

55%

 

52%

54%

53%

51%

 

52%

57%

54%

51%

51%

 

60%

51%

 

Daily

19%

18%

20%

 

20%

18%

19%

21%

 

22%

17%

16%

19%

15%

 

14%

20%

 

Soft drinks

   

0.002

    

0.081

     

< 0.001

  

0.460

Monthly

50%

46%

54%

 

47%

51%

50%

61%

 

37%

48%

57%

68%

73%

 

53%

49%

 

Weekly

36%

37%

34%

 

41%

34%

36%

22%

 

41%

40%

34%

23%

20%

 

37%

35%

 

Daily

14%

17%

12%

 

12%

15%

14%

17%

 

21%

12%

9%

9%

7%

 

10%

15%

 

Arepas

   

0.117

    

0.005

     

0.076

  

0.561

Monthly

3%

2%

4%

 

4%

2%

3%

5%

 

3%

3%

2%

3%

4%

 

4%

3%

 

Weekly

33%

31%

34%

 

42%

32%

28%

32%

 

29%

33%

39%

34%

33%

 

29%

34%

 

Daily

64%

67%

62%

 

54%

66%

68%

63%

 

68%

64%

58%

62%

63%

 

67%

64%

 

Coffee

   

0.012

    

0.036

     

< 0.001

  

0.943

Monthly

19%

17%

20%

 

21%

21%

17%

21%

 

26%

17%

11%

11%

16%

 

19%

19%

 

Weekly

13%

15%

11%

 

17%

13%

10%

9%

 

17%

12%

9%

9%

7%

 

13%

12%

 

Daily

69%

68%

69%

 

62%

66%

73%

70%

 

57%

71%

79%

80%

69%

 

68%

69%

 

Cheese

   

0.0115

    

0.003

     

0.251

  

0.592

Monthly

5%

5%

5%

 

3%

5%

6%

12%

 

4%

5%

7%

6%

66%

 

6%

5%

 

Weekly

37%

40%

35%

 

36%

35%

39%

43%

 

36%

38%

39%

36%

41%

 

40%

37%

 

Daily

57%

54%

60%

 

61%

60%

55%

45%

 

60%

58%

54%

58%

52%

 

54%

58%

 

Vegetables

   

0.0379

    

< 0.001

     

0.014

  

0.226

Monthly

12%

14%

11%

 

7%

8%

17%

17%

 

16%

8%

11%

11%

8%

 

15%

11%

 

Weekly

57%

58%

57%

 

57%

59%

56%

59%

 

56%

58%

59%

56%

61%

 

62%

56%

 

Daily

31%

29%

32%

 

36%

33%

27%

23%

 

28%

33%

30%

33%

31%

 

22%

32%

 

Fruits

   

0.102

    

0.134

     

0.322

  

0.058

Monthly

18%

19%

17%

 

16%

16%

20%

25%

 

18%

18%

18%

18%

18%

 

15%

19%

 

Weekly

61%

62%

60%

 

60%

61%

61%

56%

 

63%

61%

60%

59%

55%

 

67%

59%

 

Daily

19%

19%

23%

 

24%

23%

19%

18%

 

19%

21%

21%

23%

28%

 

18%

22%

 
  1. *All estimates are weighted for complex survey design
  2. 1 SES was calculated using a version of the Graffar Scale modified for Venezuela [19], which combines income, profession, educational level, and housing conditions into a composite score
  3. 2 For individual food groups, p-values were calculated using Pearson’s chi-square, weighted for complex survey design. For DDS, p-values were calculated using Somers’ D, weighted for complex survey design
  4. 3 n = unweighted sample size
  5. DDS was calculated as an amended minimum dietary diversity-women (MDD-W) score, where each food category was given a score of 0 if consumed weekly or less or 1 if at least one portion was consumed daily. A final score was created by summing all eight categories. Food groups included in each category are listed in Appendix 1 in Table 4. Jackknife SE is reported adjusted for the primary sampling unit, parish
  6. Food groups included in each category are listed in Additional file 2. Each food category was given a score of 0 if one to three portions were consumed weekly or less or 1 if one portion was consumed daily, and then a final score was created by summing all eight categories
  7. Acronyms: SES: Socioeconomic status, DDS: Dietary Diversity Score, SE: Standard error