Evidence map›Paper›PMID 35696572›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Social stressors associated with age-related T lymphocyte percentages in older US adults: Evidence from the US Health and Retirement Study.

Eric T Klopack, Eileen M Crimmins, Steve W Cole, Teresa E Seeman, Judith E Carroll

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 3 pooled it
4.4field-weighted citation impact, top 4% 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

54 citing papers in PubMed, 3 syntheses or guidelines pooled it, 74 citations in OpenAlex.

  1. Rethinking immune studies: population-level immune variations and the path forward.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. What Do We Know About Immune System Aging from Human and Animal Studies?International journal of molecular sciences · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Kidney Disease as a Driver of Immunosenescence: Mechanisms and Potential Interventions.Journal of the American Society of Nephrology : JASN · 2026
    Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Review
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

5 authors at 2 institutions in 1 country.

Eric T KlopackLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA 90089.ORCID 0000-0002-0019-1332
Eileen M CrimminsLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA 90089.
Steve W ColeCousins Center for Psychoneuroimmunology, Jane & Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA 90095.ORCID 0000-0002-7168-8039
Teresa E SeemanDivision of Geriatrics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095.ORCID 0000-0001-8583-4239
Judith E CarrollCousins Center for Psychoneuroimmunology, Department of Psychiatry & Biobehavioral Sciences, Jane & Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA 90095.ORCID 0000-0001-5516-0819
University of California, Los Angeles · USUniversity of Southern California · US

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
USC/UCLA Center on Biodemography &Population HealthP30AG017265 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, HIRAM BELTRAN-SANCHEZ · 1999 to 2026
$17.9M
RESEARCH TRAINING IN GERONTOLOGYT32AG000037 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, EILEEN M CRIMMINS · 1985 to 2026
$13.2M
USC Resource Center for Minority Aging Research (US-RCMAR)P30AG043073 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EMMA AGUILA, JENNIFER A AILSHIRE · 2012 to 2026
$10.1M
Biological Underpinnings of Socioeconomic Differentials in Health and MortalityR01AG060110 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CRIMMINS, EILEEN M · 2018 to 2022
$2.6M
NIA NIH HHS P30 AG017265NIA NIH HHS P30 AG043073NIA NIH HHS R01 AG060110NIA NIH HHS T32 AG000037NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

Exposure to stress is a risk factor for poor health and accelerated aging. Immune aging, including declines in naïve and increases in terminally differentiated T cells, plays a role in immune health and tissue specific aging, and may contribute to elevated risk for poor health among those who experience high psychosocial stress. Past data have been limited in estimating the contribution of life stress to the development of accelerated immune aging and investigating mediators such as lifestyle and cytomegalovirus (CMV) infection. This study utilizes a national sample of 5,744 US adults over age 50 to assess the relationship of social stress (viz., everyday discrimination, stressful life events, lifetime discrimination, life trauma, and chronic stress) with flow cytometric estimates of immune aging, including naïve and terminally differentiated T cell percentages and the ratio of CD4

Indexed as

AgingCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCytomegalovirus InfectionsRetirementStress, PsychologicalAdultAgedCD4-CD8 RatioFemaleHumansMaleMiddle Agedagingimmunosenescencesocioeconomic status

Identifiers

PMID35696572
PMCPMC9231620
OpenAlexW4282599193

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.