Influencing factors of subjective well-being trajectory based on the group-based trajectory modeling (GBTM): Results from a healthy aging cohort study in Ma'anshan

Abstract

Aim

This study aimed to explore the trajectory and predictors of subjective well-being (SWB).

Methods

Elderly in Ma'anshan were followed up for 5 years. SWB was measured using the Memorial University of Newfoundland Scale of Happiness (MUNSH). GBTM was used to group the trajectories of SWB, and multivariate logistic regression was used to explore the influencing factors of the different trajectories.

Results

2495 adults aged ≥60 years completed the survey. Four SWB trajectories were identified: low score ascending group [130(5.2 %)], high score decline group [316(14.7 %)], high score stable group [1827(73.2 %)], moderate score fluctuation group [172(6.9 %)]. With the high score stable group as the reference, social support, depressive symptoms and self-reported health were predictors of SWB for all the groups.

Conclusions

The SWB of the elderly has different developmental trajectories. Nursing staff may be carry out intervention on SWB of the elderly from social support, reducing depression and improving physical health.