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 5 Multilevel linear regression analysis of potential factors for Type-2 resilience

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

Potential factors	Model 5 (Whole sample)		Model 6 (Low adversity)		Model 7 (Middle adversity)		Model 8 (High adversity)
Potential factors	Coef.	p-value	Coef.	p-value	Coef.	p-value	Coef.	p-value
Fixed effects
Individual factors
Income	0.06	0.432	0.02	0.811	0.07	0.648	0.01	0.942
Education (ref = no)
Some education	0.47	0.057	0.32	0.271	0.97	0.091	0.51	0.337
Satisfaction with financial situation	0.51	0.005	0.10	0.642	0.57	0.134	0.96	0.015
Self-rated health	0.34	0.004	0.13	0.356	0.42	0.100	0.77	0.005
Aging attitude (ref = 1st tertile)
2nd tertile	0.23	0.390	0.63	0.054	-0.33	0.541	-0.21	0.703
3rd tertile (highest)	0.15	0.612	0.31	0.378	-0.06	0.929	-0.03	0.967
Social support
Size of social network	-0.02	0.620	0.04	0.344	0.02	0.809	-0.13	0.082
Prestigiousness of social networks (ref = low)
High	0.61	0.013	0.79	0.008	0.54	0.294	0.41	0.436
Emotional support (ref = 1st tertile)
2nd tertile	-0.03	0.896	0.31	0.309	0.03	0.954	-0.15	0.816
3rd tertile (highest)	0.31	0.304	0.32	0.401	0.75	0.234	-0.12	0.851
Financial support (ref = 1st tertile)
2nd tertile	-0.25	0.356	-0.25	0.444	-0.16	0.776	-0.54	0.352
3rd tertile (highest)	0.43	0.125	0.06	0.849	-0.55	0.365	1.70	0.004
Instrumental support (ref = no)
Yes	0.12	0.613	0.60	0.046	0.08	0.876	0.05	0.916
Environmental factors
Access to medical care (ref = none)
At least one	1.30	0.007	1.74	0.004	0.44	0.556	1.33	0.091
Access to geriatric care services (ref = none)
At least one	-0.97	0.081	-1.08	0.115	-0.74	0.435	-1.05	0.281
Options of places of leisure	0.12	0.275	0.11	0.390	0.08	0.639	0.07	0.692
Control variable
Age (ref = 60–69 years old)
70–79 years old	-0.50	0.044	-0.96	0.001	-0.04	0.948	-0.78	0.164
80 years old and above	-0.47	0.180	-1.28	0.041	-0.19	0.773	-0.86	0.220
Gender (ref = male)
Female	-0.28	0.240	-0.52	0.072	-0.02	0.968	-0.21	0.689
Intercept	-4.38	< 0.001	-3.04	0.009	-4.26	0.029	-5.18	0.009
Random effects
Environmental factors variance	1.46		2.17		1.18		1.92
Observations	884		428		205		251
Model fit
-2LL	4512.72		2038.49		1047.81		1347.31
AIC	4556.72		2082.49		1091.81		1391.31
BIC	4661.98		2171.79		1164.92		1468.87

-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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