Table 3.

Binary Logistic Regression Results for Circumstances Wherein HRECS Would be Trusted to Determine Future Use of Genomic Data.

	Circumstance type
	If future research was beneficial		If privacy would be protected		If participants would be told about results		If there was the ability to opt-out		If other people thought the research reasonable		If obtaining consent was impractical		If the participant was likely to consent if asked
Variable	OR (95% CI)	p-value	OR (95% CI)	p-value	OR (95% CI)	p-value	OR (95% CI)	p-value	OR (95% CI)	p-value	OR (95% CI)	p-value	OR (95% CI)	p-value
Scenario viewed
Scenario 1 (ref)
Scenario 2	0.96 (0.80, 1.15)	.659	1.02 (0.85, 1.22)	.868	1.06 (0.89, 1.26)	.542	0.78 (0.65, 0.93)	.005	1.08 (0.89, 1.32)	.428	2.24 (1.80, 2.78)	<.001	1.90 (1.50, 2.41)	<.001
Scenario 3	0.90 (0.75, 1.08)	.239	1.01 (0.84, 1.21)	.958	1.05 (0.88, 1.25)	.610	0.94 (0.79, 1.13)	.519	0.96 (0.79, 1.17)	.685	1.00 (0.79, 1.27)	.994	1.04 (0.80, 1.34)	.778
Country of birth
Born in Australia (ref)
Not born in Australia	1.20 (1.10, 1.43)	.053	1.02 (0.86, 1.22)	.794	1.16 (0.98, 1.38)	.091	0.88 (0.74, 1.05)	.150	1.01 (0.83, 1.22)	.958	0.75 (0.60, 0.94)	.011	0.89 (0.70, 1.13)	.346
Age
18–44 (ref)
45+	1.63 (1.39, 1.89)	<.001	1.85 (1.60, 2.16)	<.001	1.90 (1.64, 2.21)	<.001	1.00 (0.86, 1.16)	.979	1.73 (1.46, 2.05)	<.001	1.18 (0.98, 1.42)	.087	0.85 (0.69, 1.04)	.104
Gender
Woman or female (ref)
Man or male	1.02 (0.88, 1.19)	.770	0.74 (0.64, 0.86)	<.001	0.85 (0.73, 0.98)	.028	0.92 (0.79, 1.06)	.256	0.79 (0.67, 0.93)	.005	1.30 (1.08, 1.56)	.005	1.04 (0.85, 1.26)	.733
Other gender identity	1.17 (0.48, 2.85)	.731	0.76 (0.32, 1.80)	.527	1.92 (0.79, 4.69)	.152	1.55 (0.65, 3.72)	.323	1.17 (0.45, 3.04)	.753	0.46 (0.11, 2.03)	.306	1.51 (0.54, 4.21)	.432
Education
Degree (ref)
No degree	0.94 (0.81, 1.10)	.454	0.82 (0.70, 0.95)	.011	1.05 (0.91, 1.23)	.493	0.89 (0.76, 1.03)	.118	1.03 (0.87, 1.22)	.763	0.75 (0.63, 0.91)	.003	0.93 (0.76, 1.14)	.479

Note. The reference category is ‘would not trust the circumstance type’.