Table 3. Latent Class Analysis.
| Attribute | Averse (n = 1155) | Uncertain (n = 1589) | Agreeable (n = 462) | |||
|---|---|---|---|---|---|---|
| Coefficient (95% CI) | P value | Coefficient (95% CI) | P value | Coefficient (95% CI) | P value | |
| Intercept | 2.02 (1.97 to 2.07) | <.001 | 3.29 (3.23 to 3.34) | <.001 | 4.28 (4.21 to 4.35) | <.001 |
| User | ||||||
| Pharmaceutical company | −0.18 (−0.21 to −0.15) | <.001 | −0.22 (0.25 to −0.19) | <.001 | −0.09 (−0.12 to −0.04) | <.001 |
| Digital technology company | −0.20 (−0.23 to −0.17) | <.001 | −0.32 (−0.36 to −0.29) | <.001 | −0.07 (−0.11 to −0.02) | .004 |
| University hospital | [Reference] | NA | [Reference] | NA | [Reference] | NA |
| Information type | ||||||
| Places you visit via applications on your phone | −0.06 (−0.12 to −0.01) | .02 | 0.03 (−0.03 to 0.09) | .35 | 0.06 (−0.01 to 0.14) | .10 |
| Places you visit via public cameras | −0.25(−0.31 to −0.20) | <.001 | −0.34 (−0.39 to −0.28) | <.001 | −0.09 (−0.17 to −0.02) | .02 |
| Walking via applications on phone | 0.14 (0.09 to 0.19) | <.001 | 0.34 (0.28 to 0.40) | <.001 | 0.11 (0.03 to 0.18) | .004 |
| Internet searches via search engines | −0.20 (−0.24 to −0.14) | <.001 | −0.09 (−0.15 to −0.03) | .002 | 0.02 (−0.05 to 0.10) | .55 |
| Purchases via online retail | −0.08 (−0.13 to −0.03) | .003 | 0.03 (−0.03 to 0.09) | .33 | 0.04 (−0.04 to 0.12) | .30 |
| Genetic info via direct-to-consumer genetic testing companies | 0.00 (−0.05 to 0.06) | .90 | 0.13 (0.08 to 0.19) | <.001 | 0.06 (−0.02 to 0.13) | .12 |
| Communication via social media | −0.21(−0.26 to −0.16) | <.001 | −0.21 (−0.27 to −0.15) | <.001 | −0.02 (−0.10 to 0.06) | .57 |
| Spending or finances via banks and credit cards | −0.46 (−0.51 to −0.40) | <.001 | −0.85 (−0.91 to −0.79) | <.001 | −0.32 (−0.40 to −0.24) | <.001 |
| Health care records via EHRs | [Reference] | NA | [Reference] | NA | [Reference] | NA |
| Use | ||||||
| Clinical care | −0.07 (−0.10 to −0.04) | <.001 | −0.10 (−0.13 to −0.06) | <.001 | 0.01 (−0.03 to 0.06) | .51 |
| Marketing | −0.15(−0.18 to −0.12) | <.001 | −0.19 (−0.23 to −0.16) | <.001 | −0.04 (−0.08 to 0.01) | .11 |
| Research | [Reference] | NA | [Reference] | NA | [Reference] | NA |
| Disease | ||||||
| Diabetes | −0.07 (−0.11 to −0.04) | <.001 | −0.08 (−0.12 to −0.04) | <.001 | 0.00 (−0.05 to 0.05) | .92 |
| Depression | −0.12 (−0.16 to −0.09) | <.001 | −0.14 (−0.18 to −0.11) | <.001 | −0.08 (−0.13 to −0.03) | .003 |
| COVID-19 | 0.05 (0.02 to 0.08) | .005 | 0.05 (0.02 to 0.09) | .006 | 0.03 (−0.02 to 0.09) | .18 |
| Cancer | [Reference] | NA | [Reference] | NA | [Reference] | NA |
| Intercept only model | ||||||
| No. | 1116 | NA | 1616 | NA | 474 | NA |
| Intercept | 1.64 (1.62 to 1.65) | <.001 | 2.84 (2.81 to 2.86) | <.001 | 4.18 (4.16 to 4.21) | <.001 |
Abbreviations: EHR, electronic health care record; NA, not applicable.