Ontology highlight
ABSTRACT: Objective
This study aimed to identify the latent subtypes of subjective well-being (SWB) and associated factors in older adults without a confidant in China.Methods
The data came from the most recent (seventh) wave (2018) of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). This cross-sectional study included 350 older adults who lacked a close confidant. We utilized latent class analysis and multiple logistic regression models to examine the latent SWB subtypes and associated factors.Results
Three distinct patterns of SWB were identified: the very low SWB class (32%), the medium-low SWB class (46%), and the low evaluative and high affective SWB class (22%). The results indicated that compared to the low evaluative and high affective SWB class, respondents
SUBMITTER: Meng D
PROVIDER: S-EPMC10796680 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature