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. 2022 Apr 29;6(4):e36043. doi: 10.2196/36043

Table 2.

Demographic characteristics of the sample overall and by development and confirmatory samples (N=508).

Characteristic Overall Development sample (n=254) Confirmatory sample (n=254)
Participant age (years), mean (SD) 34.7 (7.7) 34.3 (7.9) 35.0 (7.6)
Gender, female,a n (%) 454 (89.4) 223 (87.8) 231 (90.9)
Race and ethnicity,b n (%)

White 95 (18.7) 46 (18.1) 49 (19.3)

Black 129 (25.4) 64 (25.2) 65 (25.6)

Hispanic 173 (34.1) 88 (34.6) 85 (33.5)

Asian 13 (2.6) 5 (2) 8 (3.1)

Middle Eastern 78 (15.4) 39 (15.4) 39 (15.4)

Multiple 13 (2.6) 7 (2.8) 6 (2.4)

Prefer not to answer 7 (1.4) 5 (2) 2 (0.8)
Preferred language, n (%)

English 280 (55.1) 139 (54.7) 141 (55.5)

Spanish 157 (30.9) 79 (31.1) 78 (30.7)

Arabic 71 (14) 36 (14.2) 35 (13.8)
Education level, n (%)

Less than a high school graduate or GEDc 97 (19.1) 51 (20.2) 46 (18.1)

High school graduate or GED 131 (25.8) 67 (26.4) 64 (25.2)

Some college or technical or vocational school 125 (24.6) 62 (24.4) 63 (24.8)

College degree (associate’s or bachelor’s) 105 (20.7) 47 (18.5) 58 (22.8)

Postgraduate or professional degree 49 (9.6) 26 (10.2) 23 (9.1)

Missing 1 (0.2) 1 (0.4) 0 (0)
Annual household income (US $), n (%)

<10,000 56 (11) 33 (13) 23 (9.1)

10,000-19,999 45 (8.9) 26 (10.2) 19 (7.5)

20,000-34,999 129 (25.4) 63 (24.8) 66 (26)

35,000-49,999 75 (14.8) 36 (14.2) 39 (15.4)

≥50,000 93 (18.3) 43 (16.9) 50 (19.7)

Don’t know or not sure 110 (21.7) 53 (20.9) 57 (22.4)
Child’s or children’s insurance, n (%)

None 7 (1.4) 3 (1.2) 4 (1.6)

Medicaid 351 (69.1) 184 (72.4) 167 (65.7)

Private insurance 75 (14.8) 33 (13) 42 (16.5)

Other type of insurance 74 (14.6) 34 (13.4) 40 (15.7)

Missing 1 (0.2) 0 (0) 1 (0.4)
Digital Health Care Literacy Scale reduced score, mean (SD) 8.6 (3.1) 8.7 (3.0) 8.5 (3.3)

aGender was assessed with the following response options: male, female, and other. No participant identified as other.

bSeparate databases were used for English-, Spanish-, and Arabic-speaking participants, and the data were combined for analysis. Race and ethnicity were collected with a single item; the response options included White, Black, Asian, Middle Eastern, Hispanic, Native American, Native Hawaiian, other race or ethnicity, and prefer not to answer. In the English and Arabic database, participants could select all options that applied. Participants were coded as multiple if they selected more than one race and/or ethnicity, except for Middle Eastern+White, which was coded as Middle Eastern. Because of incorrect configuration, the race and ethnicity item was not enabled as a check-all item in the Spanish-speaking database (ie, these participants could only check 1 race or ethnicity). Of the 151 participants who completed the Spanish survey, 144 (95.4%) selected Hispanic, 6 (4%) selected White, and 1 (0.6%) selected Black.

cGED: General Educational Development.