Skip to main content
. 2025 Mar 31;27:e68560. doi: 10.2196/68560

Table 1.

Sociodemographic characteristics of survey participants.

Characteristics Participants, n (%) Total number
Age (years) 297

18-24 48 (16.2)

25-34 113 (38)

35-44 71 (23.9)

45-54 36 (12.1)

≥55 29 (9.8)
Sex 295

Female 111 (37.6)

Male 184 (62.4)
Race 296

Asian 36 (12.2)

Black 36 (12.2)

White 190 (64.2)

Mixed 23 (7.8)

Other 11 (3.7)
Country of residence 297

United States 69 (23.2)

United Kingdom 54 (18.2)

Canada 43 (14.5)

Australia 30 (10.1)

South Africa 26 (8.8)

Poland 14 (4.7)

Mexico 9 (3)

Portugal 9 (3)

Germany 6 (2)

Other 37 (12.5)
Occupation 293

Managers, professionals, and academic staff 95 (32.4)

Homemakers, retired, and unemployed 45 (15.4)

Tech (ITa) workers 42 (14.3)

Clerics, services, and sales workers 36 (12.3)

Craft workers and laborers 28 (9.6)

Student 22 (7.5)

Technicians and associate professionals 18 (6.1)

Health care workers 7 (2.4)
Education (years) 295

10-12 40 (13.6)

13-16 150 (50.8)

≥17 105 (35.6)
Have a diagnosed chronic medical condition 88 (30.7) 287
Average household net income 296

Extremely below the median 30 (10.1)

Somewhat below the median 59 (19.9)

Around the median 120 (40.5)

Somewhat above the median 78 (26.4)

Extremely above the median 9 (3)
T-HCTb mean score (range 1-5; mean 3.5, SD 0.6) 297

<3.5 134 (45.1)

≥3.5 163 (54.9)
eHEALSc sum score (range 8-40; mean 30.8, SD 4.7) 297

<31 120 (40.4)

≥31 177 (59.6)
AIAS-4d mean score (range 1-10; mean 6.5, SD 2.3) 297

<6.75 143 (48.1)

≥6.75 154 (51.9)
Perceptions of AIe to be beneficial in medicine (range 1-10) 297

<7 109 (36.7)

≥7 188 (63.3)

aIT: information technology.

bT-HCT: Trust in the Health Care Team.

ceHEALS: eHealth Literacy Scale.

dAIAS-4: 4-Item Artificial Intelligence Attitude Scale.

eAI: artificial intelligence.