Evidence map›Paper›PMID 40359930›Full record

ArticleGerontology2025

Decoding Precision Aging: The Intersection of Cognitive Decline, Frailty, and Hormonal Biomarkers.

J Ray Runyon, Mohammad Dehghan Rouzi, Myeounggon Lee, Cole Babbitt, David W Tano, Diezel Cochenour, Esther M Sternberg, Terrill Yuhas, Lisa White, Bijan Najafi and 1 more

Abstract read
In one paragraph

Article in Gerontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

J Ray RunyonAndrew Weil Center for Integrative Medicine, COM, University of Arizona, Tucson, Arizona, USA.
Mohammad Dehghan RouziCenter for Advanced Surgical and Interventional Technology (CASIT), Department of Surgery, Geffen College of Medicine, UCLA, Los Angeles, California, USA.
Myeounggon LeeCenter for Advanced Surgical and Interventional Technology (CASIT), Department of Surgery, Geffen College of Medicine, UCLA, Los Angeles, California, USA.
Cole BabbittAndrew Weil Center for Integrative Medicine, COM, University of Arizona, Tucson, Arizona, USA.
David W TanoAndrew Weil Center for Integrative Medicine, COM, University of Arizona, Tucson, Arizona, USA.
Diezel CochenourAndrew Weil Center for Integrative Medicine, COM, University of Arizona, Tucson, Arizona, USA.
Esther M SternbergAndrew Weil Center for Integrative Medicine, COM, University of Arizona, Tucson, Arizona, USA.
Terrill YuhasBIO5 Institute, University of Arizona, Tucson, Arizona, USA.
Lisa WhiteBIO5 Institute, University of Arizona, Tucson, Arizona, USA.
Bijan NajafiCenter for Advanced Surgical and Interventional Technology (CASIT), Department of Surgery, Geffen College of Medicine, UCLA, Los Angeles, California, USA.
Bonnie J LaFleurBIO5 Institute, University of Arizona, Tucson, Arizona, USA.

Funding

Regulatory and Human Study Operations (RHSO) Core CU19AG065169 · NIA · UNIVERSITY OF ARIZONA · PI BARNES, CAROL A. · 2021 to 2025
$59.8M
NIA NIH HHS U19 AG065169
6 · The paper itself

Abstract

introductionCognitive frailty, characterized by the coexistence of cognitive impairment and physical frailty, is a significant predictor of cognitive decline. However, few studies integrate both cognitive and physical assessments alongside hormonal markers, such as cortisol, that may influence frailty and cognitive function. To address this gap, our study combines noninvasive physical, cognitive, and cortisol markers to assess frailty in aging adults.

methodsData were collected from four sites as part of the Healthy Minds for Life (HML) longitudinal cohort, a project within the Precision Aging Network. Baseline data included cognitive evaluation using the Montreal Cognitive Assessment (MoCA); frailty assessment using a validated 20-s elbow flexion-extension test analyzed by AI under single-task (ST) and dual-task (DT) conditions; cortisol measurement in eccrine sweat samples via direct analysis in real-time mass spectrometry (DART-MS); and demographic information.

resultsOf 202 participants completing all assessments, 60 were identified with mild cognitive impairment (MCI). The dual-task frailty index (FI) derived from the 20-s test significantly differentiated individuals with MCI from cognitively robust participants and correlated strongly with MoCA scores (p = 0.015). The dual-task FI showed superior model fit compared to the single-task FI when predicting cognitive function. A significant correlation between the dual-task FI and cortisol by age interaction was observed (p = 0.0042) highlighting the potential impact of cortisol to moderate the relationship between frailty and age in an otherwise healthy aging population. By contrast, no significant correlation was found between dual-task FI and aging outside of the presence of cortisol (p = 0.116) in this study.

conclusionsThis study highlights practical and efficient methods for assessing frailty emphasizing the value of DT testing and cortisol measures in identifying individuals at higher risk for cognitive and physical decline. The findings underscore the importance of integrating hormonal markers with cognitive and physical assessments to enhance risk stratification and intervention planning in aging populations.

Indexed as

AgingCognitive DysfunctionFrailtyHydrocortisoneAgedAged, 80 and overBiomarkersCognitionFemaleFrail ElderlyGeriatric AssessmentHumansLongitudinal StudiesMaleMiddle AgedBiomarkersHydrocortisoneCognitive frailtyDigital biomarkerDigital healthHormonal biomarkersPrecision aging

Identifiers

PMID40359930
PMCPMC12237170

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.