Table 5.

Multivariate Relationships Between Relationship Characteristics and Outcomes

Model 1: FDR Informed of Disease Risk (n = 180)	Coefficient	95% CI	p value
Communication frequency	.01	[-0.01, 0.04]	.299
Geographic proximity	-.01	[-0.02, 0.01]	.341
Intercept	.85	[.70, 1.01]	<.001
Model 2: SDR Informed of Disease Risk (n = 273)	OR	95% CI	p value
Communication frequency	2.98	[1.78, 4.97]	<.001
Geographic proximity	1.30	[0.98, 1.73]	.069
Intercept	.05	[0.01, 0.59]	.016
Model 3: TDR Informed of Disease Risk (n = 433)	OR	95% CI	p value
Communication frequency	2.31	[1.49, 3.58]	<.001
Geographic proximity	.93	[0.75, 1.16]	.535
Intercept	.19	[0.03, 1.45]	.109
Model 4: FDR Tested for Disease (n =157)	OR	95% CI	p value
Communication frequency	1.76	[1.10, 2.84]	.018
Geographic proximity	1.02	[0.82, 1.26]	.858
Intercept	.19	[0.02, 1.99]	.167
Model 5: SDR Tested for Disease (n = 148)	OR	95% CI	p value
Communication frequency	1.74	[1.25, 4.77]	.009
Geographic proximity	1.42	[0.93, 2.19]	.104
Intercept	.02	[0.00, 0.65]	.027
Model 6: TDR Tested for Disease (n =136)	OR	95% CI	p value
Communication frequency	1.39	[.87, 2.22]	.172
Geographic proximity	.96	[0.68, 1.34]	.800
Intercept	.13	[0.01, 1.50]	.103

Note. OR = odds ratio; CI = confidence interval; FDR = first degree relative; SDR = second degree relative; TDR = third degree relative