Table 2.
Multivariable analysis (logistic regression) of the association between the willingness of Amazon Mechanical Turk workers to share wearable device data for research and their characteristics and between their willingness to receive compensation for donating wearable device data and their characteristics.
| Characteristics | Willingness to share wearable device data | Willingness to share wearable device data if compensation is provided | ||||||||
|
|
Odds ratio (95% CI) | P value | Odds ratio (95% CI) | P value | ||||||
| MTurk workers’ characteristics | ||||||||||
|
|
Sex | |||||||||
|
|
|
Male | 1.00 (reference) | Reference | 1.00 (reference) | Reference | ||||
|
|
|
Female | 1.10 (0.78-1.43) | .53 | 1.17 (0.72-1.92) | .53 | ||||
|
|
Age (years) | |||||||||
|
|
|
18-24 | 1.00 (reference) | Reference | 1.00 (reference) | Reference | ||||
|
|
|
25-34 | 0.99 (0.56-1.42) | .96 | 1.12 (0.54-2.24) | .75 | ||||
|
|
|
35-44 | 0.97 (0.50-1.45) | .91 | 0.74 (0.33-1.6) | .45 | ||||
|
|
|
≥45 | 0.88 (0.37-1.39) | .64 | 0.78 (0.3-2.1) | .62 | ||||
|
|
Nationality | |||||||||
|
|
|
American | 1.00 (reference) | Reference | 1.00 (reference) | Reference | ||||
|
|
|
Indian | 2.74 (1.48-4.01) | .007 | 0.47 (0.24-0.9) | .02 | ||||
|
|
|
Other | 1.13 (0.64-1.62) | .61 | 1.16 (0.54-2.74) | .71 | ||||
|
|
Annual income (US $) | |||||||||
|
|
|
<20,000 | 1.00 (reference) | Reference | 1.00 (reference) | Reference | ||||
|
|
|
20,000-39,999 | 1.61 (0.93-2.29) | .08 | 1.72 (0.88-3.43) | .11 | ||||
|
|
|
40,000-69,999 | 1.76 (1.02-2.51) | .045 | 1.31 (0.68-2.55) | .42 | ||||
|
|
|
≥70,000 | 2.46 (1.26-3.67) | .02 | 1.52 (0.71-3.32) | .29 | ||||
|
|
Education | |||||||||
|
|
|
Graduate degree or work | 1.00 (reference) | Reference | 1.00 (reference) | Reference | ||||
|
|
|
Bachelor’s degree | 1.31 (0.81-1.81) | .23 | 0.97 (0.52-1.78) | .93 | ||||
|
|
|
Some college | 1.10 (0.60-1.60) | .69 | 0.64 (0.29-1.39) | .27 | ||||
|
|
|
High School diploma or other | 0.93 (0.32-1.54) | .82 | 1.03 (0.31-4.13) | .96 | ||||
|
|
Average time spent on doing human intelligence tasks per week (hours) | |||||||||
|
|
|
0 to <2 | 1.00 (reference) | Reference | 1.00 (reference) | Reference | ||||
|
|
|
2 to <4 | 0.73 (0.37-1.10) | .15 | 1.22 (0.51-2.88) | .65 | ||||
|
|
|
4 to <8 | 1.41 (0.71-2.11) | .25 | 0.89 (0.4-1.88) | .76 | ||||
|
|
|
8 to <20 | 1.16 (0.59-1.73) | .58 | 1.61 (0.69-3.66) | .26 | ||||
|
|
|
≥20 | 1.16 (0.56-1.76) | .60 | 1.25 (0.54-2.83) | .59 | ||||
| Health monitoring technologies | ||||||||||
|
|
Duration of using wearable devices (months) | |||||||||
|
|
|
≤6 | 1.00 (reference) | Reference | 1.00 (reference) | Reference | ||||
|
|
|
>6 | 1.75 (1.21-2.29) | .006 | 1.60 (0.99-2.6) | .06 | ||||
|
|
Purpose of wearable devicea | |||||||||
|
|
|
Heartbeat and pulse tracking | 1.60 (1.14-2.07) | .01 | 1.07 (0.67-1.71) | .77 | ||||
|
|
|
Sleep tracking | 1.11 (0.77-1.44) | .54 | 1.00 (0.62-1.65) | .99 | ||||
|
|
|
Step tracking | 1.17 (0.77-1.57) | .41 | 1.45 (0.85-2.44) | .17 | ||||
|
|
|
Diet (calories, body fat, and nutrition) | 1.09 (0.77-1.41) | .60 | 0.96 (0.59-1.57) | .88 | ||||
aMore than 1 option could be selected by the same person.