Table 3.
Association of Twitter account characteristics with presence of cyberincivility through logistic regression fit.
Characteristics | Estimated coefficient | ORa (95% CI) | P value | |
Gender (reference: female) | ||||
Male | 0.02876 | 0.9716 (0.5572-1.6702) | .92 | |
Unknown | 1.59319 | 4.9194 (1.6086-15.8640) | .005 | |
Picture profile (reference: appropriate) | ||||
Inappropriate or potentially objectionable | 1.20850 | 3.3484 (1.2389-10.0217) | .02 | |
Discipline (reference: medicine) | ||||
Nursing | 0.74669 | 2.1100 (1.3009-3.4504) | .002 | |
Others | 0.40821 | 1.5041 (0.6000-3.6218) | .37 | |
Country (reference: United Kingdom) | ||||
United States | 1.16851 | 3.2172 (1.8678-5.6490) | <.001 | |
Other | 0.87034 | 2.3877 (0.9871-5.6001) | .048 | |
Unknown | 1.15787 | 3.1831 (1.7089-5.9744) | <.001 | |
Number of followers this account has | -0.60209 | 0.5477 (0.3033-0.9493) | .04 | |
Number of tweets issued by the user | 1.54624 | 4.6938 (3.2626-6.8807) | <.001 |
aOR: odds ratio.