Living with technological challenges: does socioeconomic status affect people’s health?

BMC Geriatrics

Table 2 Results of the simple mediation model

Variables ^a	B	SE	p	Bootstrapped 95% CI^b
Variables ^a	B	SE	p	LL^c	UL^d
Mediator variable model: TCs^e
SES^f	-0.15	0.02	< 0.001	-0.19	-0.10
Sex	-0.01	0.02	0.84	-0.10	0.08
Age	0.02	0.002	< 0.001	0.01	0.02
Edu^g	-0.33	0.05	< 0.001	-0.42	-0.23
Marr^h	-0.14	0.09	0.10	-0.31	0.03
Aloneⁱ	0.06	0.08	0.42	-0.08	0.22
CoSu^j	-0.04	0.06	0.50	-0.16	0.08
Utilize^k	0.03	0.05	0.47	-0.06	0.12
Outcome variable model: Health^l
SES	0.15	0.03	< 0.001	0.10	0.21
TCs	-0.12	0.03	0.001	-0.18	-0.05
Sex	0.21	0.06	0.001	0.09	0.33
Age	-0.02	0.003	< 0.001	-0.02	-0.01
Edu	-0.10	0.07	0.15	-0.23	0.03
Marr	-0.02	0.12	0.90	-0.26	0.23
Alone	-0.23	0.11	0.04	-0.45	-0.01
CoSu	-0.06	0.08	0.48	-0.22	0.11
Utilize	-0.38	0.06	< 0.001	-0.50	-0.26
SES à TCs à Health^m	0.02	0.01	0.002	0.01	0.03

^aN = 1,821, ^bCI: confidence interval, ^cLL: lower limit, ^dUL: upper limit, ^eTCs: technological challenges, ^fSES: socioeconomic status, ^gEdu: educational level, ^hMarr: marital status, ⁱAlone: living alone, ^jCoSu: commercial insurance, ^kUtilize: healthcare policy utilization in the past 12 months, ^lHealth: self-rated health condition,^mSES à TCs à Health: SES effect on health condition through TCs

ISSN: 1471-2318