Functional status, life-space mobility, and quality of life: a longitudinal mediation analysis

Abstract

Purpose: Using the Wilson-Cleary model of patient outcomes as a conceptual framework, the impact of functional status on health-related quality of life (HRQoL) among older adults was examined, including tests of the mediation provided by life-space mobility.

Methods: Participants were enrollees in a population-based, longitudinal study of mobility among community-dwelling older adults. Data from four waves of the study equally spaced approximately 18 months apart (baseline, 18, 36, and 54 months) were used for participants who survived at least 1 year beyond the 54-month assessment (n = 677). Autoregressive mediation models using longitudinal data and cross-sectional mediation models using baseline data were evaluated and compared using structural equation modeling.

Results: The longitudinal autoregressive models supported the mediating role of life-space mobility and suggested that this effect is larger for the mental component summary score than the physical component summary score of the SF-12. Evidence for a reciprocal relationship over time between functional status, measured by ADL difficulty, and life-space mobility was suggested by modification indices; these model elaborations did not alter the substantive meaning of the mediation effects. Mediated effect estimates from longitudinal autoregressive models were generally larger than those from cross-sectional models, suggesting that mediating relationships would have been missed or were potentially underestimated in cross-sectional models.

Conclusions: These results support a mediating role for life-space mobility in the relationship between functional status and HRQoL. Functional status limitations might cause diminished HRQoL in part by limiting mobility. Mobility limitations may precede functional status limitations in addition to being a consequence thereof.

Figures

Fig. 1

Basic mediation model for the present study. Indirect effect = ab, direct effect = c′, total effect = ab + c′, proportion mediated = ab/(c′ + ab)

Fig. 2

Autoregressive mediation model framework for the present study. Measurement paths (i.e., for functional status), covariate paths, and covariances between residual terms of downstream endogenous variables within the same wave are estimated but have been omitted for simplicity. FS functional status, LSC composite measure of life-space mobility, and MCS and PCS mental component summary score and physical component summary score of the SF-12, respectively

Fig. 3

Completely standardized parameter estimates from the final model (i.e., Model 2) with PCS as the outcome variable including fit-based model enhancements. Measurement paths (i.e., for functional status), covariate paths, and covariances between residual terms of downstream endogenous variables within the same wave are estimated but have been omitted for simplicity. Parameter estimates are located above the corresponding path. FS functional status, LSC composite measure of life-space mobility, and MCS and PCS mental component summary score and physical component summary score of the SF-12, respectively

Fig. 4

Completely standardized parameter estimates from the final model (i.e., Model 2) with MCS as the outcome variable including fit-based model enhancements. Measurement paths (i.e., for functional status), covariate paths, and covariances between residual terms of downstream endogenous variables within the same wave are estimated but have been omitted for simplicity. Parameter estimates are located above the corresponding path. FS functional status, LSC composite measure of life-space mobility, and MCS and PCS mental component summary score and physical component summary score of the SF-12, respectively