Unknown

Dataset Information

0

Planning for Retirement: Longitudinal Effect on Retirement Resources and Post-retirement Well-being.


ABSTRACT: Retirement is a major life event, and a positive adjustment to retirement is essential for maintaining physical and psychological well-being in later life. Previous research demonstrates that pre-retirement planning predicts post-retirement well-being. This study further explores the underlying mechanism between planning activities and post-retirement well-being. By applying the resource-based dynamic model (Wang et al., 2011), the present longitudinal study examines whether pre-retirement planning activities can increase the total resources of retirees, including tangible, mental and social resources, and consequently contribute to better psychological and physical well-being 1 year after actual retirement. A total of 118 Hong Kong Chinese retirees completed three assessments: Time 1 assessment was conducted 6 months before retirement, and Times 2 and 3 assessments were carried out 6 and 12 months, respectively, after retirement. Latent growth models were employed to examine changes in retirement resources and post-retirement well-being over time. Consistent with the proposition of the resource-based dynamic model, positive changes in well-being were observed in the retirees with increases in retirement resources between pre- and post-retirement phases. The results of the latent growth mediation models also support our prediction: retirees with more preparatory activities before retirement acquire greater resources at the initial stage, which contribute to positive changes in post-retirement well-being over time.

SUBMITTER: Yeung DY 

PROVIDER: S-EPMC5529398 | biostudies-other | 2017

REPOSITORIES: biostudies-other

Similar Datasets

| S-EPMC7344699 | biostudies-literature
| S-EPMC5951536 | biostudies-literature
| S-EPMC8013458 | biostudies-literature
| S-EPMC6756433 | biostudies-literature
| S-EPMC5682238 | biostudies-literature
| S-EPMC9910329 | biostudies-literature
| S-EPMC10394838 | biostudies-literature
| S-EPMC8321239 | biostudies-literature
| S-EPMC10495368 | biostudies-literature
| S-EPMC6747378 | biostudies-literature