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

Ye-Ke He; Teng-Fei Li; Yu-Ting Liang; Guo-Qing Jiang; Jian-Wei Li; Yuan Xu; Qi-Rong Qin; Fen Huang; Ye-Huan Sun; Jie Li

doi:10.1016/j.gerinurse.2024.10.050

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

Geriatr Nurs. 2024 Nov 16:61:177-184. doi: 10.1016/j.gerinurse.2024.10.050. Online ahead of print.

Authors

Ye-Ke He¹, Teng-Fei Li¹, Yu-Ting Liang¹, Guo-Qing Jiang², Jian-Wei Li², Yuan Xu², Qi-Rong Qin³, Fen Huang², Ye-Huan Sun⁴, Jie Li⁵

Affiliations

¹ Department of Health Promotion and Behavioral Sciences, School of Public Health, Anhui Medical University, Hefei, PR China.
² Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.
³ School of Public Health, Anhui Medical University, Hefei 230032, PR China; Ma'anshan Center for Disease Control and prevention, Ma'anshan 243000, PR China.
⁴ Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China; Center for Evidence-Based Practice, Anhui Medical University, Hefei, PR China.
⁵ Department of Health Promotion and Behavioral Sciences, School of Public Health, Anhui Medical University, Hefei, PR China. Electronic address: lejane1118@126.com.

PMID: 39550790
DOI: 10.1016/j.gerinurse.2024.10.050

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.

Keywords: GBTM; Older adults; Subjective well-being.