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Optimism and the time‐stable component of self‐rated health: A threshold‐specific latent growth analysis

Abstract

Objectives

Self-rated health (SRH) is a widely used measure of health, but debate persists over how its subjective component should be interpreted. This study tests whether dispositional optimism reflects a time-stable source of subjectivity in SRH or an adaptive evaluative filter through which changing health is interpreted.

Design

Using longitudinal data from the US Health and Retirement Study, 16,902 adults aged 50+ were analysed with threshold-specific latent growth curve models. SRH was modelled across four positive-health thresholds: ‘Excellent,’ ‘Very Good+,’ ‘Good+’ and ‘Fair+.’ Stable optimism was examined as a predictor of SRH persistence, H1, and as a moderator of health changes, including depressive symptoms, new diagnoses, mobility limitations and ADLs, H2.

Results

Stable optimism significantly predicted higher odds of positive SRH across thresholds per H1. Evidence for H2 was insufficient: optimism did not consistently weaken the association between worsening health and lower odds of positive SRH. SRH remained responsive to depressive symptoms, chronic conditions and functional limitations across thresholds.

Conclusion

Optimism contributes to SRH primarily as a stable evaluative anchor rather than as a consistent buffer against health decline. SRH’s subjectivity should not be read merely as unreliable; it appears internally structured enough to be interpreted alongside observed health indicators.

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Posted in: Journal Article Abstracts on 08/25/2026 | Link to this post on IFP |
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