Evidence map›Paper›PMID 39894426›Full record

ArticleAmerican journal of ophthalmology2025

Relationship Between Chronic Stress Measured by Allostatic Load and Age-Related Macular Degeneration in the All of Us Research Program.

Kristy Yoo, Linda Wu, Brian Toy, Benjamin Y Xu

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Kristy YooFrom the Keck School of Medicine (K.Y., L.W., B.T., B.Y.X.), University of Southern California, Los Angeles, California, USA.
Linda WuFrom the Keck School of Medicine (K.Y., L.W., B.T., B.Y.X.), University of Southern California, Los Angeles, California, USA.
Brian ToyFrom the Keck School of Medicine (K.Y., L.W., B.T., B.Y.X.), University of Southern California, Los Angeles, California, USA; Roski Eye Institute (B.T., B.Y.X.), Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Benjamin Y XuFrom the Keck School of Medicine (K.Y., L.W., B.T., B.Y.X.), University of Southern California, Los Angeles, California, USA; Roski Eye Institute (B.T., B.Y.X.), Keck School of Medicine, University of Southern California, Los Angeles, California, USA. Electronic address: benjamin.xu@med.usc.edu.

Funding

Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7M
Precision Medicine Initiative Cohort Program BiobankU24OD023121 · OD · MAYO CLINIC ROCHESTER · PI CEKANOVA, MARIA, CICEK, MINE · 2016 to 2024
$185.5M
Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
Adaptive Platform for Personalized EngagementU24OD023163 · OD · VIGNET, INC. · PI JAIN, PRADUMAN · 2017 to 2020
$102.6M
University of Arizona-Banner Health All of Us Research Program OT2OD026549 · OD · UNIVERSITY OF ARIZONA · PI MORENO, FRANCISCO A, REIMAN, ERIC MICHAEL · 2018 to 2023
$78.9M
California Precision Medicine Research Program ConsortiumOT2OD026552 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANTON-CULVER, HODA A, OHNO-MACHADO, LUCILA · 2018 to 2023
$73.4M
All of Us PennsylvaniaOT2OD026554 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E, VISWESWARAN, SHYAM · 2018 to 2023
$72.1M
New York City Consortium for Precision MedicineOT2OD026556 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIER, LOUISE E, GHARAVI, ALI G · 2018 to 2023
$67.3M
SouthEast Enrollment Center (SEEC) OT2OD026551 · OD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, COLON, VIVIAN · 2018 to 2023
$62.8M
Southern All of Us NetworkOT2OD026548 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N., KORF, BRUCE R · 2018 to 2023
$60.5M
Illinois Precision Medicine Consortium OT2OD026557 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AHSAN, HABIBUL, ARGOS, MARIA · 2018 to 2023
$60.5M
The New England Precision Medicine Consortium of the All of Us Research ProgramOT2OD026553 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CLARK, CHERYL RENEE, KARLSON, ELIZABETH W · 2018 to 2023
$58.8M
NEI NIH HHS K23 EY029763NEI NIH HHS K23 EY032985NEI NIH HHS R01 EY035677NIH HHS OT2 OD023205NIH HHS OT2 OD023206NIH HHS OT2 OD025276NIH HHS OT2 OD025277NIH HHS OT2 OD025315NIH HHS OT2 OD025337NIH HHS OT2 OD026548NIH HHS OT2 OD026549NIH HHS OT2 OD026550NIH HHS OT2 OD026551NIH HHS OT2 OD026552NIH HHS OT2 OD026553NIH HHS OT2 OD026554NIH HHS OT2 OD026555NIH HHS OT2 OD026556NIH HHS OT2 OD026557NIH HHS U24 OD023121NIH HHS U24 OD023163NIH HHS U24 OD023176NIH HHS U2C OD023196
6 · The paper itself

Abstract

purposeTo assess the longitudinal relationship between age-related macular degeneration (AMD) and allostatic load (AL), an established framework for quantifying the physiologic effects of chronic stress through measurements of systemic biomarkers.

designRetrospective case-control study.

methodsParticipants of the National Institutes of Health All of Us (AoU) Research Program with complete AL biomarker data between February 1985 to May 2022 and with (cases) or without (controls) AMD were identified. AL scores were calculated using the adapted Seeman AL scale consisting of 10 systemic biomarkers: body mass index, systolic blood pressure, diastolic blood pressure, total cholesterol, triglycerides, glomerular filtration rate, albumin, C-reactive protein, and homocysteine. AL score was defined as the number of biomarkers with measurements in the highest risk quartiles. Age was calculated as the median age at time of earliest or latest biomarker measurements. The main outcome was AMD status (AMD or non-AMD). Logistic regression models assessed the association between AL score and AMD after standardization of age and sex and adjustment for race/ethnicity and pack-years of cigarette smoking. Mediation analysis estimated the relationship between race/ethnicity and AMD as mediated by AL score.

resultsAmong 1530 participants (221 cases, 1309 controls) with complete biomarker data, there were 44.6% males, 76.1% non-Hispanic Whites (NHWs), 18.6% other specified race/ethnicity (Asian, Black, or Hispanic race/ethnicity), and 5.3% unspecified race/ethnicity. AL scores measured a median of 9.0 (IQR=5.0-14.0) years prior to diagnosis were higher among cases compared to controls (Median [IQR] = 2 [2-4] versus 2 [1-3]; P = .02). On multivariable analysis, higher baseline AL score (OR=1.11) and greater pack-years (OR=1.15 per 10 pack-years) conferred higher risk of AMD (P ≤ .02). Mediation analysis revealed a significant indirect effect that increased risk of AMD among other specified race/ethnicity participants compared to NHW participants through higher AL score (OR=1.07 per unit [1.01-1.15]).

conclusionAll of Us participants diagnosed with AMD had greater AL score 9.0 years prior to AMD diagnosis. Chronic stress appears to increase risk for AMD and may contribute to racial/ethnic differences in disease prevalence.

Indexed as

AllostasisMacular DegenerationStress, PsychologicalAgedAged, 80 and overBiomarkersBlood PressureCase-Control StudiesChronic DiseaseC-Reactive ProteinFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsBiomarkersC-Reactive Protein

Identifiers

PMID39894426
PMCPMC11925661

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.