TABLE 2.

Logistic regression models of visual rating scales.

Model 1: Sex effects						Abnormal score, n (%)
	Effect	OR	SE	95% CI	P	Males	Females
GCA‐F	Sex	2.121	0.260	[1.284, 3.566]	0.004	81 (39.71%)	34 (27.64%)
MTA	Sex	0.804	0.234	[0.508, 1.273]	0.350	74 (36.27%)	51 (41.46%)
PA	Sex	1.459	0.237	[0.917, 2.325]	0.111	128 (62.75%)	68 (55.28%)

Model 2: Sex‐by‐age interaction						Age of abnormal score, mean (SD)
	Effect	OR	SE	95% CI	P	Males	Females
GCA‐F	Sex×age	1.018	0.034	[0.951, 1.087]	0.590	74.68 (6.66)	77.06 (7.05)
MTA	Sex×age	1.028	0.036	[0.956, 1.103]	0.451	73.43 (6.20)	77.11 (6.72)
PA	Sex×age	0.977	0.029	[0.922, 1.034]	0.417	72.45 (8.48)	75.93 (8.24)

Note: Model 1 is a binary logistic regression model with visual rating scale scores as the dependent variable (normal vs abnormal) and both sex (variable of interest) and age (control variable) as the independent variables. For the MTA scale, the model included age‐adjusted score as the dependent variable (normal vs abnormal) and sex (variable of interest). Model 2 is a binary logistic regression model with visual rating scale scores as the dependent variable (normal vs abnormal) and the interaction between sex and age (variable of interest), together with sex and age as the independent variables. For visual rating scales, values “0” and “1” correspond to “normal” and “abnormal” scores according to established cutoffs. For sex, values “0” and “1” correspond to male and female sex, respectively. Statistically significant effects are shown in bold (P ≤ 0.05).

Abbreviations: GCA‐F, global cortical atrophy‐frontal subscale; MTA, medial temporal atrophy scale; PA, posterior atrophy scale.