The present work sought to explore grief patterns among Chinese older people in rural areas as well as the factors influencing the diverse bereavement results. Participants were 352 older residents who lived in rural areas in China. Latent profile analysis was used to identify subtypes of class membership in combing complicated grief, depression, anxiety, and meaning in life. One-way analysis of variance, chi-square analysis, and multinomial regression analysis were performed together to examine the predictor best distinguishing between classes. The latent profile analysis model best fitting the data was a three-class solution comprised of adaptive (n = 235; 66.8%), moderate maladaptive (n = 83; 23.6%), and severe maladaptive groups (n = 34; 9.7%). Compared to the severe maladaptive and moderate maladaptive groups, participants in the adaptive group had better physical functioning. Participants in the moderate maladaptive group had longer bereavement duration than those in the severe maladaptive group. Future replication is desirable for validating these subgroups.
Keywords: China; grief experience; latent profile analysis; older adults; patterns.