Table 2.
Differences in characteristics between the recruited participants who traded at least once on the Prediki system during the 3-month active trading period in 2021.
| Factors | Traded at least once, n (%) | P value | |||
|
|
No (n=86) | Yes (n=19) |
|
||
| Age (y) | .58 | ||||
|
|
<30 | 33 (38) | 6 (32) |
|
|
|
|
≥30 | 53 (62) | 13 (68) |
|
|
| Occupation | .59 | ||||
|
|
Health workera | 44 (51) | 11 (58) |
|
|
|
|
Nonhealth workerb | 42 (49) | 8 (42) |
|
|
| Main sources of COVID-19–related information | .09 | ||||
|
|
Internetc or social media | 33 (38) | 12 (63) |
|
|
|
|
Television or radio | 12 (14) | 3 (16) |
|
|
|
|
Multiple sourcesd | 41 (48) | 4 (21) |
|
|
aHealth workers include nurses, doctors, laboratory technicians, physician assistants, midwives, and orderlies.
bNonhealth workers include students, unemployed persons, market traders, software engineers, bankers, drivers, and computer programmers.
cInternet includes news websites, search engines, blogs, and scientific publications.
dMultiple sources include web-based and offline sources, paper graphics, and word of mouth from others.