PERSONALITY PROFILES AND LIFE SATISFACTION IN AGING - A GROWTH MIXTURE MODELING APPROACH

Q: How were personality profiles incorporated into the analysis?

The study used personality profiles identified via latent profile analysis (LPA) and treated them as predictors of life satisfaction trajectories in growth mixture modeling (GMM).

Q: What were the three personality profiles identified?

The analysis identified Resilient Extraverts (53.26%), Balanced (40.18%), and Sensitive Introverts (6.56%).

Q: What factors were associated with life satisfaction at baseline and over time?

Better subjective health, older age, and being married were positively associated with baseline life satisfaction; older age was linked to a slower rate of change, though life satisfaction increased over time for all groups.

Sep 29, 2026

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Study life satisfaction trajectories among adults aged 65+ using growth mixture modeling, combining growth analysis with pre-identified personality profiles from latent profile analysis. The sample (N=2,424) merges RAND Health and Retirement Study waves and Core data across three time points pooled from consecutive waves. Three profiles—Resilient Extraverts, Balanced, and Sensitive Introverts—predicted baseline differences and longitudinal change. Life satisfaction increased for all groups, while health, age, and marital status related to baseline levels and growth rates, highlighting psychosocial resources for later-life well-being.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages1

Reading Time3 min

AccessFree to download

Abstract

Study Design and Data

Personality Profiles

Results and Key Associations

Implications for Later-Life Well-Being

516 Innovation in Aging, 2025, Vol. 9, No. S2 Abstract citation ID: igaf122.1763 PERSONALITY PROFILES AND LIFE SATISFACTION IN AGING: A GROWTH MIXTURE MODELING APPROACH Yeon Ji Ryou1, and Momoho Kakuta2, 1. Iowa State University, Ames, Iowa, United States, 2. The University of Osaka, Suita, Osaka, Japan This study examined life satisfaction trajectories among individuals 65 years and older using growth mixture modeling (GMM) with pre-identified personality profiles from latent profile analysis (LPA) and covariates. The targeted sample (N=2,424) was from the merged data of the 2020 RAND Health and Retirement Study (HRS) and 2022 Core data, covering three time points (T1=2012/2014, T2=2016/2018, T3=2020/2022) . Given the alternating design of data collection, each point pooled two consecutive waves for the complete sample for psychosocial questions. Three personality profiles: Resilient Extraverts (53.26%), Balanced (40 . 18%), and Sensitive Introverts (6 .56%), were identified and used to predict life satisfaction trajectories. Results found significant baseline differences across the sub-groups. Resilient Extraverts showed the highest life satisfaction at T1 (B = 1.984, SE = .44, p < .001), followed by the Balanced group (B = 1.695, SE = .44, p < .001) and Sensitive Introverts (B= 1.405, SE = .44, p < .01) . Despite these initial differences, all groups demonstrated an increasing trend in life satisfaction over time (p < .01). Better subjective health, older age, and being married were positively associated with life satisfaction at baseline. However, older age was linked to a slower rate of change. These findings suggest that psychosocial resources could involve sustaining well-being. Although aging was associated with a slower rate of growth, the overall upward trend suggests the possibility of continued psychological well-being, emphasizing the need for targeted interventions that utilize individual personality strengthsand social resources to enhance well-being in later life.

FAQs

How were personality profiles incorporated into the analysis?

The study used personality profiles identified via latent profile analysis (LPA) and treated them as predictors of life satisfaction trajectories in growth mixture modeling (GMM).

What were the three personality profiles identified?

The analysis identified Resilient Extraverts (53.26%), Balanced (40.18%), and Sensitive Introverts (6.56%).

What factors were associated with life satisfaction at baseline and over time?

Better subjective health, older age, and being married were positively associated with baseline life satisfaction; older age was linked to a slower rate of change, though life satisfaction increased over time for all groups.

Sep 29, 2026

Upload by Ben