Gender difference in QTc prolongation of people with mental disorders

Table 2 The effects of gender and other related factors on QTc interval.

Factor other than gender	Term in the statistical model	Mean (SD) of QTc interval	F-value
diagnosis	gender		8.559**
	diagnosis		1.870
	others (n = 139)	0.402 (0.040)
	schizophrenia (n = 94)	0.407 (0.033)
	mood disorders (n = 95)	0.415 (0.032)
	gender • diagnosis		0.253
antipsychotics	gender		7.952**
	antipsychotics		1.035
	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 • antipsychotics		1.526
antidepressants	gender		1.359
	antidepressants		1.036
	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 • antidepressants		1.752
cardiovascular disease	gender		1.114
	cardiovascular disease		5.483*
	absent (n = 277)	0.405 (0.036)¹⁾
	present (n = 51)	0.420 (0.035)¹⁾
	gender • cardiovascular disease		2.180
cerebrovascular disease	gender		2.048
	cerebrovascular disease		0.014
	absent (n = 318)	0.407 (0.036)
	present (n = 10)	0.414 (0.029)
	gender • cerebrovascular disease		0.267
hepatic failure	gender		4.694*
	hepatic failure		0.024
	absent (n = 258)	0.408 (0.037)
	present (n = 70)	0.407 (0.034)
	gender • hepatic failure		0.062
diabetes	gender		0.065
	diabetes		0.103
	absent (n = 303)	0.408 (0.033)
	present (n = 25)	0.408 (0.063)
	gender • diabetes		2.125

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.

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