Table 2.

Univariable and multivariable linear regression model for factors associated with financial distress, by Personal Financial Wellness Scale score, n = 115^a

	Univariable model		Multivariable model
	β (SE)	P b	β (SE)	P c
Current age, y	0.1 (0.1)	.25	‒0.1 (0.1)	.33
Female sex	‒1.3 (0.5)	.01	‒0.9 (0.4)	.04
Race or ethnicity
Hispanic	‒2.0 (0.5)	<.01	‒1.1 (0.5)	.03
Non-Hispanic non-White	‒0.7 (0.6)	.20	‒0.7 (0.5)	.18
Non-Hispanic White	(Referent)	—	—	—
Highest level of education
<4-y of college	(Referent)	—	—	—
≥4-y college degree	1.8 (0.5)	<.01	0.8 (0.4)	.07
Currently employed	2.0 (0.6)	<.01	0.9 (0.6)	.11
Total income
<$20 000	(Referent)	—	—	—
$20 000-$39 999	0.2 (0.6)	.77	0.3 (0.6)	.67
$40 000-$79 999	0.2 (0.5)	.76	0.2 (0.6)	.71
≥$80 000	3.2 (0.5)	<.01	2.6 (0.7)	<.01
Type of insurance
Private	1.5 (0.5)	<.01	‒0.4 (0.5)	.41
Any public/other/uninsured	(Referent)	—	—	—
Years since diagnosis
<10	(Referent)	—	—	—
≥10	0.3 (0.5)	.53	‒0.2 (0.4)	.68
Adverse clinical features
Absent	(Referent)	—	—	—
Present	‒0.7 (0.5)	.14	‒0.7 (0.4)	.11

^aRestricted to participants with complete data on all these variables.

^bGlobal P values for categorical variables in univariable analysis: race or ethnicity <.01, total income <.01.

^cGlobal P values for categorical variables in multivariable analysis: race or ethnicity = .18, total income <.01.