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Association between intrinsic capacity and disability before death among older adults: a decedent cohort study

  • Olivia S Malkowski
  • , Kendra Davis-Plourde
  • , Max J Western
  • , Thomas M Gill
  • Department of Internal Medicine, University of Utah
  • Yale University

Research output: Contribution to journalArticlepeer-review

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Abstract

BACKGROUND: Intrinsic capacity is inversely associated with disability; however, little is known about how the magnitude of this association varies before death. We aimed to use time-varying effect modelling (TVEM), a statistical tool for capturing dynamic patterns of change, to evaluate the association between intrinsic capacity and disability as a function of time before death.

METHODS: In this decedent cohort study, we included participant data from the Precipitating Events Project in the USA. Community-dwelling individuals aged 70 years and older who were initially free of disability in four activities of daily living (bathing, dressing, transferring from a chair, and walking around the house) were included in the study. Individuals with substantial cognitive impairment and without an available proxy, with a life expectancy of less than 12 months, who had plans to relocate, or who were unable to speak English were excluded. Participants who had died by Dec 31, 2024, were included in the analytical sample. Intrinsic capacity was assessed at baseline and subsequently at 18-month intervals for up to 306 months (except at 126 months) using 25 items. Intrinsic capacity scores (0-100) were derived using Bayesian multilevel item response theory. Disability, defined as dependence in instrumental activities of daily living, was assessed monthly. TVEM was applied to evaluate the association between intrinsic capacity and disability, anchored to participants' time of death. Results are presented as time-varying adjusted odds ratios reflecting the increase (or decrease) in the log-odds of disability corresponding to a 10-point increase in intrinsic capacity, controlling for covariates.

FINDINGS: Of the 1002 eligible individuals, 754 were enrolled between March 23, 1998, and Oct 26, 1999; data from 746 participants who died by Dec 31, 2024, were included in the analyses. Among the 746 decedents, 479 (64%) were women, 267 (36%) were men, and 675 (90%) were White. Trajectories using a backwards timescale spanning 20 years showed a gradual decline in mean intrinsic capacity from 80 (95% CI 77-83) points to 47 (45-48) points and a non-linear rise in the probability of disability. Higher intrinsic capacity was associated with significantly lower odds of disability from around 13·6 years before death onwards. The inverse association between intrinsic capacity (per 10-point increase) and disability strengthened as death approached. In the final 4 years of life, adjusted odds ratios corresponding to a 10-point increase in intrinsic capacity ranged from 0·56 (95% CI 0·46-0·68) to 0·58 (0·50-0·68).

INTERPRETATION: The association between intrinsic capacity and disability emerged approximately 14 years before death, suggesting that intrinsic capacity could serve as an early marker of functional decline and guide the development of targeted interventions.

FUNDING: National Institute on Aging.

Original languageEnglish
Article number100854
Pages (from-to)100854
Number of pages9
JournalThe Lancet Healthy Longevity
Volume7
Issue number5
Early online date12 May 2026
DOIs
Publication statusPublished - 9 Jun 2026

Bibliographical note

Publisher Copyright:
© 2026 The Author(s)

Data Availability Statement

Requests for access to data from the Precipitating Events Project for
meritorious analyses from qualified investigators should be directed to
TMG ([email protected]). Processing and analytical code (Stata,
Mplus, R, and SAS) and the text and visual outputs of all time-varying effect
modelling analyses are available in the GitHub repository

Funding

The study was funded by the National Institute on Aging (R01AG017560). The study was conducted at the Yale Claude D Pepper Older Americans Independence Center (P30AG021342). We thank Evelyne Gahbauer MD MPH for assistance with data management.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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