. Author manuscript; available in PMC: 2019 Jul 1.

Published in final edited form as: Support Care Cancer. 2018 Feb 1;26(7):2209–2215. doi: 10.1007/s00520-017-4006-z

Table 2.

Multiple regression analysis to evaluate quality of life effects of unmet fertility information needs, reproductive concerns, and decisional conflict.

Models predicting quality of life (QOL)^a		R²	R² Δ	B	SE	β	t	p
MODEL 1: Unmet Fertility Information Needs (F[7,221]=5.13, p<.001)
Step
1	Constant	0.10	0.10	7.61	0.93		8.16	<.001
	Control variables
	Age at survey			−0.08	0.03	−0.17	−2.50	0.013
	Years post-treatment			0.03	0.02	0.09	1.43	0.156
	Employment (0=unemployed)			0.91	0.32	0.19	2.82	0.005
	Income (0=less than $50k)			0.72	0.27	0.18	2.64	0.009
	Relationship status (0=single)			0.20	0.29	0.05	0.71	0.480
	Nulliparity (0=no children)			0.18	0.32	0.04	0.55	0.584
2	Unmet fertility information needs^b	0.14	0.04	0.22	0.07	0.22	3.30	0.001

MODEL 2: Reproductive Concerns (F[7,166]=3.84, p=.001)
Step
1	Constant	0.07	0.07	10.3	1.20		8.61	<.001
	Control variables
	Age at survey			−0.60	0.04	−0.13	−1.59	0.114
	Years post-treatment			0.30	0.03	0.09	1.22	0.224
	Employment (0=unemployed)			0.91	0.35	0.20	2.63	0.009
	Income (0=less than $50k)			0.53	0.29	0.14	1.82	0.071
	Relationship status (0=single)			−0.11	0.31	−0.03	−0.36	0.717
	Nulliparity (0=no children)			0.01	0.33	0.00	0.02	0.986
2	Reproductive Concerns^b	0.14	0.07	−0.74	0.21	−0.27	−3.55	<.001

MODEL 3: Decisional Conflict (F[7,141]=2.08, p<.05)
Step
1	Constant	0.05	0.05	8.85	1.18		7.52	<.001
	Control variables
	Age at survey			−0.05	0.04	−0.10	−1.16	0.250
	Years post-treatment			0.04	0.03	0.10	1.27	0.205
	Employment (0=unemployed)			0.65	0.38	0.14	1.71	0.090
	Income (0=less than $50k)			0.34	0.32	0.09	1.05	0.294
	Relationship status (0=single)			−0.28	0.35	−0.08	−0.81	0.421
	Nulliparity (0=no children)			0.34	0.35	0.09	0.97	0.333
2	Decisional Conflict^b	0.09	0.04	−0.01	0.01	−0.21	−2.58	0.011

SE, standard error

Three multiple regression models were specified with quality of life as the dependent variable.

Higher scores indicate greater unmet information needs, reproductive concerns, and decisional conflict (p’s<.05). Controlling for key sociodemographic covariates, greater unmet fertility information needs (Model 1), greater reproductive concerns (Model 2), and greater decisional conflict about fertility and family-building (Model 3) contributed to lower quality of life.