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. 2020 Apr 16;75(5):1082-1092.
doi: 10.1093/geronb/gby156.

Inter-Individual Variability in Trajectories of Functional Limitations by Race/Gender

Jielu Lin  1   2
Affiliations

Inter-Individual Variability in Trajectories of Functional Limitations by Race/Gender

Jielu Lin. J Gerontol B Psychol Sci Soc Sci. .

Abstract

Objective: Several theories emphasize that systematic interindividual divergence is a key feature of cohort aging and evidence for accumulative social inequality over the life course. While many have documented widening health gaps with age between subgroups, such divergence is only one aspect of the broader social inequality based on race and gender. This article examines patterns of interindividual variability in trajectories of functional limitations within each race/gender.

Methods: Using data from the Health and Retirement Study (HRS)'s HRS cohort (born 1931-1941), I estimate growth curves of functional limitations with Level 2 heteroscedasticity, allowing interindividual variability to differ across 4 groups: white men, black men, white women, and black women. I examine race/gender differences in the age-based pattern of interindividual variability using an interquartile range of estimated individual trajectories.

Results: Black men, white women, and black women have greater interindividual variability in functional limitations than do white men. Interindividual variability increases systematically with age at similar rates for all groups but black women.

Discussion: Functional limitations become more heterogeneous with age for the entire cohort and for white men, white women, and black men. Future research should identify life-course processes that generate the race and gender patterning of interindividual variability in late-life health.

Keywords: Differential aging; Health inequalities; Heteroscedasticity.

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Figures

Figure 1.
Figure 1.
Mean trajectory and random sample of estimated individual trajectories (n = 50) by race/gender. Note. Trajectories calculated based on fixed and random effects estimates in Model 2, Table 2. Parametric smoothing applied.
Figure 2.
Figure 2.
Age-based pattern of interquartile range in trajectories of functional limitations by race/gender.
See this image and copyright information in PMC

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