Table 1 Demographic, diet, and diet-related disease characteristics in the full and analytic samples of participants of the 2011 Los Angeles County Health Survey (LACHS).

From: Population mobility data provides meaningful indicators of fast food intake and diet-related diseases in diverse populations

 

Participants, no. (%)

  

Characteristic

Full sample (n = 8036)

Analytic sample (n = 5447)

P value

Age

  

0.005

 18–24

596 (7.4%)

467 (8.6%)

 

 25–29

438 (5.5%)

341 (6.3%)

 

 30–39

1204 (15.0%)

878 (16.1%)

 

 40–49

1596 (19.9%)

1063 (19.5%)

 

 50–59

1674 (20.8%)

1118 (20.5%)

 

 60–64

748 (9.3%)

464 (8.5%)

 

 65 or over

1780 (22.2%)

1116 (20.5%)

 

Gender

  

0.044

 Female

4863 (60.5%)

3201 (58.8%)

 

 Male

3173 (39.5%)

2246 (41.2%)

 

Race and ethnicity

  

0.002

 White

3414 (43.4%)

2257 (41.4%)

 

 Hispanic/Latino

2769 (35.2%)

2050 (37.6%)

 

 Black/African American

784 (10.0%)

584 (10.7%)

 

 Asian

728 (9.3%)

432 (7.9%)

 

 Multiracial/other

174 (2.2%)

124 (2.3%)

 

 Unknown

167

0

 

Education

  

0.5

 Less than high school

1385 (17.4%)

942 (17.3%)

 

 High school

1370 (17.2%)

965 (17.7%)

 

 Some college or trade school

2007 (25.2%)

1409 (25.9%)

 

 College or post graduate degree

3206 (40.2%)

2131 (39.1%)

 

 Unknown

68

0

 

Income

  

0.034

 Low

2980 (37.1%)

2119 (38.9%)

 

 High

5056 (62.9%)

3328 (61.1%)

 

Fast food intake frequency

  

0.014

 Never

1552 (19.4%)

944 (17.3%)

 

 Infrequent

1540 (19.3%)

1040 (19.1%)

 

 Moderate

2113 (26.9%)

1463 (26.9%)

 

 Frequent

2794 (34.9%)

2000 (36.7%)

 

 Unknown

37

0

 

Obesity

  

0.072

 No

5751 (76.6%)

4097 (75.2%)

 

 Yes

1757 (23.4%)

1350 (24.8%)

 

 Unknown

528

0

 

Diabetes

  

>0.9

 No

7125 (88.8%)

4841 (88.9%)

 

 Yes

895 (11.2%)

606 (11.1%)

 

 Unknown

16

0

 
  1. P values indicate χ2 test for the statistical significance of differences based on non-missing categories.