Skip to main content
. 2018 Apr 10;15(4):711. doi: 10.3390/ijerph15040711

Table 1.

Respondent demographics and health profile.

Overall Non-Hispanic White Non-Hispanic Black Hispanic Other
N 1005 649 118 157 81
Characteristic
Gender
 Male 48.2% 48.7% 41.3% 48.6% 52.9%
 Female 51.8% 51.3% 58.7% 51.4% 47.1%
Age
 19–24 10.6% 8.6% a 9.3% a 22.2% b 4.9% a
 25–34 19.3% 14.9% a 19.5% a,b 33.5% c 27.2% b,c
 35–44 14.7% 13.6% a 11.0% a 20.9% b 17.3% a,b
 45–54 18.3% 19.9% a 15.3% a,b 10.8% b 25.9% a
 55–64 17.2% 18.3% a,b 24.6% b 10.1% c 11.1% a,c
 65–74 11.9% 15.1% a 12.7% a,b 1.3% c 6.2% b
 75 and older 7.9% 9.6% a 7.6% a 1.3% b 7.4% a
Education
 Less than high school 10.6% 8.0% a 19.5% b 16.6% b 6.3% a
 High school 29.1% 29.6% 28.8% 31.2% 22.5%
 Some college 21.4% 21.3% 18.6% 26.1% 16.3%
 College graduate 28.2% 30.8% a 19.5% b 21.7% b 33.8% a
 Graduate education 10.7% 10.3% a 13.6% a,b 4.5% c 21.3% b
Employment status
 Working as employee 47.0% 46.4% 43.2% 54.1% 42.7%
 Self-employed 9.3% 9.4% a,b 5.1% b 8.9% a,b 15.9% a
 Not working 23.1% 19.6% a 32.2% b 33.1% b 19.5% a
 Retired 20.6% 24.7% a 19.5% a 3.8% b 22.0% a
Annual household income
 $49,999 or under 51.4% 46.1% a 69.5% b 61.1% b,c 48.1% a,c
 $50,000 or over 48.6% 53.9% a 30.5% b 38.9% b,c 51.9% a,c
Health/medical insurance coverage
 Insurance through employer 44.8% 45.4% a 35.9% b 49.0% a 44.2% a,b
 Insurance purchased directly 8.0% 7.2% a 5.1% a 7.8% a 19.5% b
 Medicare 19.1% 21.8% a 27.4% a 6.5% b 9.1% b
 Medicaid or related type 14.2% 10.6% a 20.5% b,c 26.1% c 10.4% a,b
 Other, including Veterans Administration 14.0% 15.0% 11.1% 10.5% 16.9%
Self-reported general health status
 Excellent 13.0% 13.0% 11.0% 13.5% 16.0%
 Very good 37.5% 39.2% 32.2% 37.8% 30.9%
 Good 36.3% 35.5% 39.0% 37.2% 38.3%
 Fair 10.5% 9.3% a 16.9% b 9.6% a,b 12.3% a,b
 Poor 2.6% 3.1% 0.8% 1.9% 2.5%
Last visited a doctor for a routine checkup
 Within the past year 68.0% 69.6% a 80.9% b 54.7% c 63.2% a,c
 1 year but less than 2 years ago 14.0% 13.0% a 10.4% a 20.7% b 14.5% a,b
 2 years but less than 4 years ago 7.4% 7.1% 6.1% 10.0% 6.6%
 4 or more years ago 9.4% 9.4% a 2.6% b 12.7% a 13.2% a
 Never 1.1% 0.9% 0.0% 2.0% 2.6%
Ever smoked at least 100 cigarettes in life?
 Yes 42.4% 48.4% a 30.2% b 28.6% b 36.3% b
 No 57.6% 51.6% a 69.8% b 71.4% b 63.8% b
Do you now smoke cigarettes?
 Every day 27.8% 28.5% 34.3% 19.0% 23.3%
 Some days 12.1% 8.3% a 40.0% b 23.8% b,c 6.7% a,c
 Not at all 60.1% 63.1% a 25.7% b 57.1% a 70.0% a
Have you ever been told by a doctor that you have or had … (“Yes” responses)
 Pre-diabetes or borderline diabetes 20.9% 20.0% a 36.6% b 16.4% a 13.9% a
 High blood sugar or diabetes 17.3% 16.3% a 31.3% b 10.7% a 17.5% a
 Asthma 17.0% 17.0% 16.2% 15.9% 20.8%
 High cholesterol 33.8% 35.8% a 42.6% a 16.4% b 39.5% a
 Influenza or the flu 46.5% 53.0% a 31.8% b 34.7% b 39.5% b
Are you currently taking prescription drug to treat … (“Yes” responses)
 Pre-diabetes or borderline diabetes 9.3% 7.5% a 23.3% b 7.1% a 7.7% a
 High blood sugar or diabetes 10.8% 9.2% a 25.0% b 7.4% a 8.9% a
 Asthma 8.8% 9.6% 8.6% 5.2% 11.4%
 High cholesterol 22.6% 23.5% a 33.0% b 9.7% c 25.3% a,b
In the past year, has a physician or healthcare provider told you that you should receive an influenza or flu vaccine?
 Yes 56.1% 60.6% a 51.7% a,b 43.2% b 51.3% a,b
 No 43.9% 39.4% a 48.3% a,b 56.8% b 48.8% a,b
Is an annual flu vaccine or shot something that would be recommended for you? That is, should someone your age receive—or have received—an annual flu vaccine or shot?
 Yes 73.5% 77.9% a 71.8% a 54.8% b 73.6% a
 No 26.5% 22.1% a 28.2% a 45.2% b 26.4% a

Note: Comparisons are made across columns by row using the Bonferroni adjusted p-value approach with an alpha value of ≤0.05. All possible pairwise comparisons are made between non-Hispanic Whites, non-Hispanic Blacks, Hispanics, and Others. Rows with no superscripts have no significant differences. Within rows that do have superscripts, any two values that share a superscript are not significantly different from one another; values that do not have a common superscript are significantly different (e.g., a, b, and c are significantly different from one another). For example, in the table there are no significant differences in gender distribution across the different race/ethnicity categories; however, there are several significant differences in the percentage of 25–34 year-olds based on race/ethnicity.