BMC Geriatrics (Apr 2017)

Trajectories of Life Satisfaction and their Predictors among Korean Older Adults

  • Hyun Ja Lim,
  • Dae Kee Min,
  • Lilian Thorpe,
  • Chel Hee Lee

DOI
https://doi.org/10.1186/s12877-017-0485-5
Journal volume & issue
Vol. 17, no. 1
pp. 1 – 14

Abstract

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Abstract Background Among older adults, life satisfaction (LS) correlates with health, mortality, and successful ageing. As various potential threats to LS tend to increase with advancing years, patterns of age-related changes in LS among older adults remain inconsistent. This study aimed to identify LS trajectories in older adults and the characteristics of individuals who experience them. Methods Large-scale, nationally representative, longitudinal data collected from 2005 to 2013 were analyzed for this study. The outcome measure was a summary of multidimensional domains influencing LS: health, finance, housing, neighbor relationships, and family relationships. Latent class growth models and logistic regression models were used to identify trajectory groups and their predictors, respectively. Results Within 3517 individuals aged 65 or older, five trajectories were identified across eight follow-up years: “low-stable” (TG1; n = 282; 8%), “middle-stable” (TG2; n = 1146; 32.6%), “improving” (TG3; n = 75; 2.1%), “upper middle-stable” (TG4; n = 1653; 47%), and “high” (TG5; n = 361; 10.3%). High trajectory individuals more frequently had higher education, financial security, good physical health, and good mental health than those in the stable, but less satisfied, groups. Similarly, compared to the largest group (upper middle-stable trajectory), individuals in the low-stable or middle-stable trajectory group not only had poorer physical and mental health but were more likely to be living alone, financially stressed, and residing in urban locations. Individuals with improving trajectory were younger and in poorer mental health at baseline compared to the upper middle-stable trajectory group. Conclusion Life satisfaction in the older follows distinct trajectories. For older adults, trajectories are stable over time and predictable, in part, from individual characteristics. Knowledge of these patterns is important for effective policy and program development.

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