Latent profile analysis of depression among empty nesters in China

The study aimed to explore the depression profile of empty nesters and to identify heterogeneous subgroups in the elderly population. It explored the influencing factors of depression in elderly people with different depression profiles, with a view to provide a reference basis for improving the depression situation of empty-nesting elderly people. This study used the Chinese Longitudinal Healthy Lifespan Survey (CLHLS) survey data, with empty nesters over 60 as the research subjects. Latent profile analysis (LPA) was used to fit potential classes of depression in empty nesters; chi-square tests, Kruskal-Wallis, and multinomial logistic regression were used to explore the factors influencing different depression profiles in older adults. A total of 4481 subjects were included in this study and were classified as low-level (11.6 %), moderate-level (51.6 %), and high-level (36.8 %). Compared to the low-level, the influencing factors for the high-level were IADL, anxiety, self-rated health, exercise, and education; and the influencing factors for the medium level group were anxiety, self-rated health, drink, and education. Factors influencing high-level relative to the mid-level group were IADL, anxiety, residence, self-rated health, exercise, and limited in activities. The CESD-10, as a screening tool, could not completely determine the presence of depression in high levels of empty nesters. Psychological problems arising from depression among empty nesters seriously affected their overall health, and targeted intervention strategies should be developed for different categories of older adults to improve depression and enhance health-related quality of life.