Evidence map›Paper›PMID 29609076›Full record

ArticleNeurobiology of aging2018

Negative fateful life events in midlife and advanced predicted brain aging.

Sean N Hatton, Carol E Franz, Jeremy A Elman, Matthew S Panizzon, Donald J Hagler, Christine Fennema-Notestine, Lisa T Eyler, Linda K McEvoy, Michael J Lyons, Anders M Dale and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Neurobiology of aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
14.1field-weighted citation impact, top 1% of its field
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. The genetic and environmental etiology of novel frequency-driven regional parcellations of abnormal white matter.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2025
    Article
  6. Article
  7. Geroscience-Centric Perspective for Geriatric Psychiatry: Integrating Aging Biology With Geriatric Mental Health Research.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2024
    Review
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  13. Review
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  16. Observational
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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 at 3 institutions in 1 country.

Sean N HattonDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA. Electronic address: sehatton@ucsd.edu.
Carol E FranzDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA.
Jeremy A ElmanDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA.
Matthew S PanizzonDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA.
Donald J HaglerDepartment of Radiology, University of California, San Diego, La Jolla, CA, USA.
Christine Fennema-NotestineDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Department of Radiology, University of California, San Diego, La Jolla, CA, USA.
Lisa T EylerDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA.
Linda K McEvoyDepartment of Radiology, University of California, San Diego, La Jolla, CA, USA.
Michael J LyonsDepartment of Psychological and Brain Sciences, Boston University, Boston, MA, USA.
Anders M DaleDepartment of Radiology, University of California, San Diego, La Jolla, CA, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA.
William S KremenDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA; Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA, USA.
University of California, San Diego · USVA San Diego Healthcare System · USBoston University · US

Funding

The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0M
The VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3M
The VETSA Longitudinal Twin Study of Cognition and AgingR01AG018384 · NIA · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LYONS, MICHAEL J. · 2002 to 2012
$9.8M
The VETSA longitudinal twin study of cognition and agingR01AG018386 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2002 to 2012
$9.7M
The VETSA Longitudinal MRI Twin Study of Aging (VETSA MRI 4)R01AG076838 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE, Jeremy A Elman · 2022 to 2026
$8.7M
The VETSA Longitudinal Twin Study of Cortisol and AgingR01AG022982 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2004 to 2007
$2.6M
Testosterone-Androgen Receptor Genetics: Role in Cognitive and Biological AgingK08AG047903 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PANIZZON, MATTHEW S · 2014 to 2017
$452k
Archiving the Vietnam Era Twin Studies of Aging (VETSA): New Uses for Old DataR03AG046413 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FRANZ, CAROL ELAINE · 2013 to 2014
$247k
NIA NIH HHS K08 AG047903NIA NIH HHS R01 AG018384NIA NIH HHS R01 AG018386NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG022982NIA NIH HHS R01 AG050595NIA NIH HHS R01 AG076838NIA NIH HHS R03 AG046413
6 · The paper itself

Abstract

Negative fateful life events (FLEs) such as interpersonal conflict, death in the family, financial hardship, and serious medical emergencies can act as allostatic stressors that accelerate biological aging. However, the relationship between FLEs and neuroanatomical aging is not well understood. We examined 359 men (mean age 62 years) participating in the Vietnam Era twin study of aging (VETSA) to determine whether negative midlife FLEs are associated with advanced brain aging after controlling for physical, psychological, and lifestyle factors. At two different time points, participants were assessed for negative FLEs, health and well-being, general cognitive ability, socioeconomic status, depression, and ethnicity. Participants underwent a magnetic resonance imaging examination, and T1-weighted images were processed with FreeSurfer. Subsequent neuroanatomical measurements were entered into the Brain-Age Regression Analysis and Computation Utility software (BARACUS) to predict brain age. Having more midlife FLEs, particularly relating to interpersonal relationships, was associated with advanced predicted brain aging (i.e., higher predicted brain age relative to chronological age). This association remained after controlling for the significant covariates of alcohol consumption, cardiovascular risk, adult socioeconomic status, and ethnicity.

Indexed as

Life Change EventsAdultAgedAgingAlcohol DrinkingBrainCardiovascular DiseasesCognitive AgingCognitive DysfunctionForecastingHumansInterpersonal RelationsMagnetic Resonance ImagingMaleMiddle AgedRiskBrain agingFateful life eventsMagnetic resonance imaging

Identifiers

PMID29609076
PMCPMC5955847
OpenAlexW2790447458

What OpenQuestion holds

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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.