Dynamic Links Between Caregiving Trajectories and Subjective Life Expectancy in Chinese Older Care Recipients
Xin Sun, Zi Yan

TL;DR
This study explores how different caregiving patterns over time affect older Chinese adults' expectations about how long they think they will live.
Contribution
The study introduces a novel analysis of how caregiving trajectories dynamically influence subjective life expectancy over time.
Findings
Four distinct caregiving trajectory groups were identified, each associated with different patterns of subjective life expectancy.
The 'Multi-Source Intensification Group' showed improvement in subjective life expectancy over time despite starting with the lowest levels.
Care dependency does not inherently reduce perceived future time but is mediated by how care is provided.
Abstract
Subjective life expectancy (SLE), an individual’s self-assessed lifespan prediction shaped by health, psychological, and sociodemographic factors, serves as a critical metric for evaluating caregiving efficacy and long-term health trajectories; however, how longitudinal caregiving trajectories dynamically shape SLE among care recipients remains underexplored. Based on data from 3,350 adults aged 60 and above across four waves (2011, 2015, 2018, and 2020) of the China Health and Retirement Longitudinal Study (CHARLS), group-based multi-trajectory modeling (GBTM)was employed to identify distinct caregiving trajectory groups. Latent growth curve modeling (LGCM) was then applied to examine how these trajectory types were associated with longitudinal changes in SLE. Four types of care trajectories were identified through GBTM: Sustained-Independence, Spouse-Anchored Gradual Transfer,…
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Taxonomy
TopicsAging and Gerontology Research · Insurance, Mortality, Demography, Risk Management · Health disparities and outcomes
