Table 5.

Logistic Regression for Associated Factors With Types of Iris Insertion in Nasal and Temporal Quadrant Among all Study Subjects

	Nasal				Temporal
	β*	P Value	OR†	95% CI‡	β*	P Value	OR†	95% CI‡
Age	0.02	0.21	1.01	0.99–1.04	0.04	0.007	1.04	1.01–1.07
Sex	−0.02	0.91	1.03	0.60–1.78	−0.03	0.82	1.07	0.58–1.97
Ethnicity	−0.57	0.001	3.14	1.60–6.31	−0.8	<0.0001	4.80	2.31–10.3
AL	0.11	0.36	1.12	0.90–1.47	0.19	0.21	1.21	0.94–1.71
SE	0.03	0.53	1.03	0.94–1.14	0.05	0.41	1.05	0.94–1.20
ACD	−2.94	0.02	0.05	0.004–0.58	−4.46	0.001	0.01	0.0007–0.16
ACW	−2.32	0.0002	0.1	0.03–0.32	−1.90	0.005	0.15	0.04–0.54
ACV	0.06	0.0002	1.06	1.03–1.10	0.07	0.0001	1.07	1.04–1.12
IT750	0.60	0.78	1.83	0.02–139.7	2.22	0.37	9.23	0.08–1,220.5
Iarea	2.15	0.01	8.58	1.74–45.5	2.07	0.02	7.94	1.40–49.2
Icurv	7.13	<0.0001	1250.8	61.7–32,051.3	7.10	<0.0001	1210.4	48.0–39,799.5

For sex, male was coded as 1 and female as 2 in regression models. For ethnicity, American Caucasians were coded as 0 and ethnic Chinese coded as 1. Numbers in bold denote the association is statistically significant (P < 0.05).

^*Beta coefficient.

^†OR. Unit odds ratio is presented for continuous variables.

^‡95% confidence interval (CI) for OR. ACA is not included in the model because it is highly correlated with ACV.