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From:
Published online 2004 February 13. doi: 10.1186/1475-2832-3-3

Table 2

The effects of gender and other related factors on QTc interval.

Factor other than genderTerm in the statistical modelMean (SD) of QTc intervalF-value
diagnosisgender8.559**
diagnosis1.870
 others (n = 139)0.402 (0.040)
 schizophrenia (n = 94)0.407 (0.033)
 mood disorders (n = 95)0.415 (0.032)
gender • diagnosis0.253
antipsychoticsgender7.952**
antipsychotics1.035
 0 mg (n = 96)0.406 (0.036)
 0–100 mg (n = 66)0.405 (0.031)
 100–500 mg (n = 103)0.410 (0.039)
 500 mg + (n = 63)0.409 (0.035)
gender • antipsychotics1.526
antidepressantsgender1.359
antidepressants1.036
 0 mg (n = 238)0.405 (0.038)
 0–50 mg (n = 26)0.416 (0.030)
 50–100 mg (n = 39)0.413 (0.031)
 100 mg + (n = 25)0.417 (0.026)
gender • antidepressants1.752
cardiovascular diseasegender1.114
cardiovascular disease5.483*
 absent (n = 277)0.405 (0.036)1)
 present (n = 51)0.420 (0.035)1)
gender • cardiovascular disease2.180
cerebrovascular diseasegender2.048
cerebrovascular disease0.014
 absent (n = 318)0.407 (0.036)
 present (n = 10)0.414 (0.029)
gender • cerebrovascular disease0.267
hepatic failuregender4.694*
hepatic failure0.024
 absent (n = 258)0.408 (0.037)
 present (n = 70)0.407 (0.034)
gender • hepatic failure0.062
diabetesgender0.065
diabetes0.103
 absent (n = 303)0.408 (0.033)
 present (n = 25)0.408 (0.063)
gender • diabetes2.125

Two-way ANCOVA (analysis of covariance): Gender and each of the 7 variables in the most left column were included as two factors, QTc interval as a dependent variable, and age at admission as a covariate. 7 tests were performed in total. *p < 0.05, **p < 0.01. 1) As this variable has only two categories, it is manifest without post-hoc analysis that there is a significant difference between these values.