Latent class analysis on resilience characteristics of empty-nest elderly in community / 中华行为医学与脑科学杂志
Chinese Journal of Behavioral Medicine and Brain Science
; (12): 358-362, 2016.
Article
in Zh
| WPRIM
| ID: wpr-670195
Responsible library:
WPRO
ABSTRACT
Objective To analyze the characteristics of resilience among empty-nest elderly in community with exploratory latent class analysis method and provide a basis for making targeted intervention measures according to different characteristics.Methods This study enrolled 203 empty-nest elderly people as the study respondents.The general information,resilience of empty-nest elderly were investigated using the general information questionnaire,Connor-Davidson resilience scale in Chinese version.Latent class analyze (Mplus 7.0) was used to discuss the characteristics of resilience among empty-nest elderly.Results The results showed that the resilience of empty-nest elderly had obvious group characteristics and the statistical indicators(AIC,BIC,Entropy and so on) can support the three categories of potential model(P=0.006).Based on the conditional probability on the various items of the questionnaire in each category,they were respectively named high resilience group (54 cases (26.6%)) and low pressure resilience group (82 cases (40.4%)) and low resilience group(67 cases (33.0%)).Further study showed that high resilience and low resilience group had a significant effect of age (P<0.05),low pressure resilience and low resilience group had a significant effect of gender(P<0.05).Conclusion The resilience of empty-nest elderly in communities can be divided into three categories according to its characteristics.Each category has different proportion of gender and age.
Full text:
1
Index:
WPRIM
Type of study:
Prognostic_studies
Language:
Zh
Journal:
Chinese Journal of Behavioral Medicine and Brain Science
Year:
2016
Type:
Article