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Table 1 Distribution of participants’ percentage according to their demographic data

From: Nutrition literacy is associated with income and place of residence but not with diet behavior and food security in the Palestinian society

Variable

N (%)

Mean ± SD

Newest Vital Sign

 High Likelihood of Limited Health Literacy

19/103 (18.4%)

0.8 ± 0.4a

 Possible Limited Health Literacy

54/103 (52..4%)

2.5 ± 0.5b

 Adequate Health Literacy

30/103 (29.1%)

4.4 ± 0.5c

Gender

 Male

17/101 (16.8%)

2.3 ± 0.95a

 Female

84/101 (83.2.%)

3.0 ± 1.1b

Income

 Less than 3000 Shikel

22/99 (22.2%)

2.2 ± 1.1a

 3000–6000 Shikel

44/99 (44.4%)

3.2 ± 1.3b

 More than 6000 Shikel

33/99 (33.3%)

2.9 ± 1.2ab

Place

 Refugee Camp

3/100 (3%)

2.5 ± 0.7

 City

55/100 (55%)

2.7 ± 1.2

 Village

42/100 (42%)

3.1 ± 1.4

Education

 High School or less

7/101 (7%)

3.3 ± 1.3

 College

12/101 (11.9%)

2.5 ± 1.2

 Bachelor

78/101 (77.2%)

2.9 ± 1.3

 Postgraduate education

4/101 (4%)

2.3 ± 1.9

Label USE

 Use of food Label

  May be

24/101 (24%)

2.9 ± 1.1ab

  No

33/101 (33%)

2.3 ± 1.1a

  Yes

44/101 (43%)

3.3 ± 1.2b

 Looking at food Label

  May be

16/98 (16.3%)42/98

2.9 ± 1.1ab

  No

(42.9%)

2.4 ± 1.3a

  Yes

40/98 (40.8%)

3.2 ± 1.3b

 Look at health claim on food label

  May be

13/99 (13.1%)

2.9 ± 1.4

  No

56/99 (56.6%)

2.8 ± 1.2

  Yes

30/99 (30.3%)

2.7 ± 1.4

 Look at calories on the food label

  May be

25/101 (24.8%)

2.7 ± 1.1ab

  No

41/101 (40.6%)

2.5 ± 1.4a

  Yes

35/101 (34.7%)

3.2 ± 1.3b

 Look at serving size on food label

  May be

38/101 (37.6%)

2.4 ± 1.0

  No

31/101 (30.7%)

2.1 ± 1.2

  Yes

32/101 (31.7%)

2.4 ± 1.0

 Look at health benefit on Label

  May be

35/101 (34.7%)

2.8 ± 1.1ab

  No

39/101 (38.6%)

2.6 ± 1.4a

  Yes

27/101 (26.7%)

3.4 ± 1.2b

Food Security

 Food Secure

89%

2.9 ± 1.3

 Modest insecurity

8%

2.8 ± 1.4

 Severe insecurity

3. %

2.5 ± 0.7

  1. This table presents subcategories percentages and also it present NVS total score
  2. mean ± SD for each categories, differences between means was calaculated using
  3. ANOVA. Means with different letters are statistically significant