Potential factors associated with resilience among older adults in rural China: a multilevel analysis

Qiu, Yun; Cong, Zhen; Wang, Xiaoxuan; Li, Shuzhuo

doi:10.1186/s12877-023-04575-w

BMC Geriatrics

Table 4 Multilevel linear regression analysis of Potential factors for Type-1 resilience

From: Potential factors associated with resilience among older adults in rural China: a multilevel analysis

Potential factors	Model 1 (Whole sample)		Model 2 (Low adversity)		Model 3 (Middle adversity)		Model 4 (High adversity)
Potential factors	Coef.	p-value	Coef.	p-value	Coef.	p-value	Coef.	p-value
Fixed effects
Individual factors
Income	0.02	0.727	0.00	0.972	0.10	0.340	-0.03	0.797
Education (ref = no)
Some education	0.26	0.093	0.21	0.274	0.33	0.350	0.23	0.476
Satisfaction with financial situation	0.43	< 0.001	0.15	0.324	0.73	0.002	0.70	0.004
Self-rated health	0.23	0.002	0.12	0.195	0.25	0.122	0.46	0.007
Aging attitude (ref = 1st tertile)
2nd tertile	-0.04	0.803	0.12	0.577	-0.20	0.556	-0.36	0.293
3rd tertile (highest)	0.03	0.884	0.27	0.247	-0.09	0.819	-0.47	0.208
Social support
Size of social network	-0.03	0.127	-0.01	0.650	-0.02	0.711	-0.08	0.080
Prestigiousness of social networks (ref = low)
High	0.33	0.029	0.46	0.022	0.02	0.954	0.55	0.090
Emotional support (ref = 1st tertile)
2nd tertile	0.35	0.033	0.54	0.009	0.24	0.470	0.17	0.668
3rd tertile (highest)	0.31	0.096	0.51	0.049	0.40	0.312	-0.18	0.629
Financial support (ref = 1st tertile)
2nd tertile	0.05	0.756	0.14	0.516	0.30	0.390	-0.43	0.227
3rd tertile (highest)	0.41	0.018	0.25	0.266	0.32	0.407	0.64	0.075
Instrumental support (ref = no)
Yes	-0.09	0.562	0.14	0.491	0.16	0.622	-0.19	0.536
Environmental factors
Access to medical care (ref = none)
At least one	0.24	0.450	0.38	0.244	-0.11	0.839	0.16	0.733
Access to geriatric care services (ref = none)
At least one	-1.44	< 0.001	-1.26	0.001	-1.75	0.011	-1.61	0.005
Options of places of leisure	0.17	0.012	0.16	0.026	0.21	0.094	0.18	0.068
Control variable
Age (ref = 60–69 years old)
70–79 years old	-0.21	0.166	-0.73	< 0.001	0.28	0.405	-0.03	0.939
80 years old and above	0.13	0.548	-0.20	0.637	0.15	0.724	0.25	0.556
Gender (ref = male)
Female	0.02	0.886	0.02	0.932	-0.34	0.313	0.25	0.430
Intercept	-2.76	< 0.001	-1.90	0.011	-4.08	0.001	-3.10	0.010
Random effects
Environmental factors variance	0.61		0.48		1.11		0.46
Observations	884		428		205		251
Model fit
-2LL	3674.72		1690.93		860.33		1099.25
AIC	3718.72		1734.93		904.33		1143.25
BIC	3823.98		1824.23		977.44		1220.81

-2LL: -2 Log Likelihood. AIC: Akaike’s Information Criterion. BIC: Schwarz’s Bayesian Criterion
Bold face indicates statistical significance (p < 0.05)

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ISSN: 1471-2318

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