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. 2024 Jul 3;31(9):1976–1982. doi: 10.1093/jamia/ocae164

Table 1.

Descriptive statistics of variables used in weighted logistic regression: demographic factors; independent and dependent variables (n = 1787).

Characteristic N (%) Mean (SD)
Have you ever heard of ChatGPT?
 Yes 1015 (56.80%)
 No 772 (43.20%)
Sex
 Male 855 (47.85%)
 Female 932 (52.15%)
Age categories (years)
 18-29 282 (15.78%)
 30-44 530 (29.66%)
 45-59 418 (23.39%)
 60+ 557 (31.17%)
Race/ethnicity
 White, non-Hispanic 782 (43.76%)
 Black, non-Hispanic 468 (26.19%)
 Hispanic 450 (25.18%)
 Other, including multiple races and Asian Pacific Islander 87 (4.87%)
Education
 Less than High school 120 (6.72%)
 High school graduate or equivalent 294 (16.45%)
 Some college/Associate degree 722 (40.40%)
 Bachelor's degree 382 (21.38%)
 Post grad study/Professional degree 269 (15.05%)
Health literacy
 High 1267 (70.90%)
 Low 520 (29.10%)
 Comfort with ChatGPT being used in societya 2.23 (0.983)
 Tech-savvinessb 2.38 (0.979)
 Worry about private information used against meb 2.38 (1.07)
 I feel like I have optionsb 2.63 (0.981)
 I feel respectedb 2.71 (0.916)
 System trustc 8.78 (2.65)
  • ChatGPT will improve health d

  • (Dependent variable)

0.460 (0.499)
a

4-point scale: (1) Not at all comfortable; (4) Very comfortable.

b

4-point scale: (1) Not at all true; (4) Very true.

c

Index, Range: (4) Low; (16) High.

d

Binary variable coded as follows: (0) Very unlikely (n = 194, 10.9%) or unlikely (n = 772, 43.2%); (1) Very likely (n = 85, 4.8%) or likely (n = 736, 41.2%).