Table 1.
Suicide terms | Control Twitter users (N=173) | Twitter users with schizophrenia (N=203) | t 374 | P valuea | ||||
|
Tweets, n | Tweets per user, mean (SD) | Users who tweeted, n (%) | Tweets, n | Tweets per user, mean (SD) | Users who tweeted, n (%) |
|
|
Suicide | 266 | 1.54 (3.81) | 60 (34.7) | 1095 | 5.39 (12.88) | 106 (52.2) | -4.09 | <.001 |
Suicidal | 62 | 0.36 (1.93) | 23 (13.3) | 367 | 1.81 (4.60) | 66 (32.5) | -3.82 | .006 |
Tweets with any suicide termsb | 327 | 1.89 (4.77) | 65 (37.6) | 1441 | 7.10 (15.94) | 113 (55.7) | -4.60 | <.001 |
aP values calculated using t tests for the difference in mean (SD) tweets containing suicide or suicidal terms between Twitter users with schizophrenia and control users.
bThis category also includes tweets that contain both the terms suicide and suicidal.