ArticleAlzheimer's research & therapy2021
Portals to frailty? Data-driven analyses detect early frailty profiles.
Article in Alzheimer's research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Association of frailty index with incident complete tooth loss among middle-aged and older Chinese adults: a longitudinal cohort study based on CHARLS.BMC oral health · 2026Article
- Differential associations of active and passive digital modalities with health perception biases among older adults.BMC geriatrics · 2026Article
- Evaluating sex and gender as separate and interactive predictors of memory aging trajectory classes: an integrative data-driven approach.Biology of sex differences · 2026Article
- Metabolomic characterization of frailty identifies subtype-specific management strategies.NPJ digital medicine · 2025Article
- Frailty in motion: Amnestic mild cognitive impairment and Alzheimer's disease cohorts display heterogeneity in multimorbidity classification and longitudinal transitions.Journal of Alzheimer's disease : JAD · 2025Article
- Frailty or frailties: exploring frailty index subdimensions in the English Longitudinal Study of Ageing.Journal of epidemiology and community health · 2024Article
- Neurodegenerative Diseases: New Hopes and Perspectives.Current molecular medicine · 2024Review
- Machine learning analyses identify multi-modal frailty factors that selectively discriminate four cohorts in the Alzheimer's disease spectrum: a COMPASS-ND study.BMC geriatrics · 2023Article
- Article
- The Flexibility of Physio-Cognitive Decline Syndrome: A Longitudinal Cohort Study.Frontiers in public health · 2022Article
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4 authors.
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Abstract
backgroundFrailty is an aging condition that reflects multisystem decline and an increased risk for adverse outcomes, including differential cognitive decline and impairment. Two prominent approaches for measuring frailty are the frailty phenotype and the frailty index. We explored a complementary data-driven approach for frailty assessment that could detect early frailty profiles (or subtypes) in relatively healthy older adults. Specifically, we tested whether (1) modalities of early frailty profiles could be empirically determined, (2) the extracted profiles were differentially related to longitudinal cognitive decline, and (3) the profile and prediction patterns were robust for males and females.
methodsParticipants (n = 649; M age = 70.61, range 53-95) were community-dwelling older adults from the Victoria Longitudinal Study who contributed data for baseline multi-morbidity assessment and longitudinal cognitive trajectory analyses. An exploratory factor analysis on 50 multi-morbidity items produced 7 separable health domains. The proportion of deficits in each domain was calculated and used as continuous indicators in a data-driven latent profile analysis (LPA). We subsequently examined how frailty profiles related to the level and rate of change in a latent neurocognitive speed variable.
resultsLPA results distinguished three profiles: not-clinically-frail (NCF; characterized by limited impairment across indicators; 84%), mobility-type frailty (MTF; characterized by impaired mobility function; 9%), and respiratory-type frailty (RTF; characterized by impaired respiratory function; 7%). These profiles showed differential neurocognitive slowing, such that MTF was associated with the steepest decline, followed by RTF, and then NCF. The baseline frailty index scores were the highest for MTF and RTF and increased over time. All observations were robust across sex.
conclusionsA data-driven approach to early frailty assessment detected differentiable profiles that may be characterized as morbidity-intensive portals into broader and chronic frailty. Early inventions targeting mobility or respiratory deficits may have positive downstream effects on frailty progression and cognitive decline.
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