Table 1.
Demographic and clinical information of the participants
Non-converter | Converter | p-value | |
---|---|---|---|
Thirty participants of the training set | |||
Age | 21.496 ± 4.513 | 20.571 ± 5.623 | 0.294 |
Gender (% male) | 47.82% | 57.14% | 0.666 |
Race | 0.554 | ||
Caucasian | 34.78% | 14.29% | |
Black | 47.82% | 57.14% | |
Other | 17.39% | 28.57% | |
Estimated IQ | 103.363 ± 15.966 | 97.714 ± 13.124 | 0.520 |
Medications | 0.109 | ||
Antipsychotics | 0% | 14.29% | |
Antidepressants | 14.35% | 14.29% | |
Ten participants of the validation set | |||
Age | 22.810 ± 2.347 | 22.862 ± 3.398 | 0.978 |
Gender (% male) | 100% | 100% | NA |
Race | 0.533 | ||
Caucasian | 40% | 20% | |
Black | 20% | 20% | |
Other | 40% | 60% | |
Estimated IQ | 98.60 ± 24.327 | 98.80 ± 10.426 | 0.922 |
Medications | 0.549 | ||
Antipsychotics | 20% | 0% | |
Antidepressants | 40% | 40% |
Mean ± standard deviation of age in years and IQ. Also shown are the percentages of male participants, participants under the specified medications, and race. The p-values are based on t-tests and χ2 tests between Converters and Non-converters