. Author manuscript; available in PMC: 2015 Nov 1.

Published in final edited form as: Int Psychogeriatr. 2014 Aug 8;26(11):1875–1883. doi: 10.1017/S1041610214001240

Table 2.

Multivariate linear regression models for Zarit Burden Inventory (subjective burden)

ZARIT BURDEN INVENTORY MODELS	B (SE)	p-VALUE	CUMULATIVE R ²
Model 1^a
Patient NPI-Q	0.48 (0.09)	<0.001	105
CG emotional support unmet need	3.89 (1.19)	0.001	164
CG employed	3.33 (1.08)	0.002	205
CG mental health counseling/psychiatric care unmet need	4.14 (2.00)	0.039	217
CG education, y	0.37 (0.18)	0.042	229
Model 2^b
Block 1			088
Others available to assist, No.	−0.38 (0.29)	0.193
CG female	−1.92 (1.33)	0.151
CG age, y	0.00 (0.05)	0.951
CG education, y	0.42 (0.20)	0.030
CG employed	3.17 (1.25)	0.012
Block 2
Patient NPI-Q	0.44 (0.09)	<0.001	0.180
CG emotional support unmet need	4.08 (1.19)	0.001	0.220

Notes: CG = caregiver; NPI-Q = Neuropsychiatric Inventory-Questionnaire, PGDRS = Psychogeriatric Dependency Rating Scale, MMSE = Mini-Mental State Examination.

All significant univariate variables entered using step-wise methods. MMSE, PGDRS, CSDD, number of people available to assist, number of unmet neuropsychiatric symptom needs, number of unmet safety needs, number of unmet healthcare needs, number of unmet needs for daily and meaningful activities, CG sex, age, skills counseling unmet need, and CG respite support unmet care need did not meet the model inclusion parameters.

All significant univariate demographic and context variables entered into Block 1. Significant hypothesis-driven predictor variables entered using stepwise methods into Block 2.