Table 4.

Final structural equation modelling mediation model including finance as a predictor

	Model	beta	se	t	P value
Predicting reserve-building	socioeconomic status (SES) ->Active in the World	0.33	0.05	6.48	<0.001
	SES ->Outdoor activities	0.14	0.06	2.47	0.014
	SES ->Exercise	0.19	0.05	3.55	<0.001
	Finance ->Active in the World	0.26	0.05	4.92	<0.001
	Finance ->Outdoor activities	0.22	0.06	4.07	<0.001
	Finance ->Exercise	0.30	0.05	6.03	<0.001
Predicting resilience: direct effects	SES ->resilience	0.04	0.06	0.71	0.476
	Finance ->resilience	0.31	0.07	4.72	<0.001
	Active in the World ->resilience	0.08	0.05	1.57	0.116
	Outdoor activities ->resilience	0.07	0.05	1.37	0.170
	Exercise ->resilience	0.10	0.05	1.88	0.060
	Comorbid conditions ->resilience	−0.14	0.05	−2.86	0.004
Predicting resilience: total indirect effects	SES ->resilience	0.06	0.02	2.65	0.008
	Finance ->resilience	0.13	0.03	4.06	<0.001

		R2	se	t	P value
R square	Education	0.78	0.11	6.87	<0.001
	Father education	0.59	0.04	13.71	<0.001
	Mother education	0.55	0.04	13.00	<0.001
	O*NET	0.46	0.08	6.14	<0.001
	Income	0.63	0.04	15.11	<0.001
	Difficulty paying bills	0.58	0.04	13.12	<0.001
	No of conditions	0.20	0.05	3.79	<0.001
	Active in the World	0.18	0.04	4.18	<0.001
	Outdoor activities	0.07	0.03	2.39	0.017
	Exercise	0.13	0.04	3.64	<0.001
	Resilience	0.25	0.05	5.54	<0.001

Model fit statistics: χ2=47.4, df=31, p=0.03; RMSEA=0.035, CFI=0.983, TLI=0.970.

Path coefficients are reflected by ‘->’. CFI, comparative fit index; RMSEA, root mean square error approximation; TLI, tucker lewis index.

Bold values indicate notable skewness.