Journal article
Modeling Heterogeneity in the Long-Term Trajectories of Individuals’ Well-Being
- Abstract:
- Very little is known about how long-term well-being trajectories vary across populations. Using data from 45,160 adults in New Zealand (62% women, Mage = 41 years) surveyed annually over 13 years, we identified latent trajectories for belongingness, social support, self-esteem, and life satisfaction. Through a group-based trajectory modeling approach, we found five trajectory groups: low (3%–5%), moderate (11%–17%), moderate-high (29%–32%), high (35%–45%), and very high (11%–20%) well-being. While most individuals showed minimal changes, those with initially low well-being experienced the greatest change, in the direction of decreasing well-being over time. Individuals with higher education were more likely to follow higher well-being trajectories. Similarly, women were more likely to follow higher well-being trajectories, except for self-esteem, where men tended to score higher over time. Lastly, age and ethnicity demonstrated more complex patterns. These findings highlight the importance of acknowledging long-term heterogeneity in well-being trajectories and emphasize the need for targeted preventive mental health interventions, particularly for individuals who begin with lower well-being levels.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 1.3MB, Terms of use)
-
- Publisher copy:
- 10.1177/01461672251331654
Authors
- Publisher:
- SAGE Publications
- Journal:
- Personality and Social Psychology Bulletin More from this journal
- Volume:
- 52
- Issue:
- 7
- Pages:
- 2045-2064
- Publication date:
- 2025-04-29
- Acceptance date:
- 2025-03-12
- DOI:
- EISSN:
-
1552-7433
- ISSN:
-
0146-1672
- Language:
-
English
- Keywords:
- Source identifiers:
-
4090560
- Deposit date:
-
2026-05-28
- ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.
Terms of use
- Copyright date:
- 2025
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record