Evidence map›Paper›PMID 36302456›Full record

ArticleExperimental gerontology2022

Association of leukocyte telomere length with perceived physical fatigability.

Rain Katz, Emma L Gay, Allison L Kuipers, Joseph H Lee, Lawrence S Honig, Kaare Christensen, Mary F Feitosa, Mary K Wojczynski, Nancy W Glynn, LLFS Research Group

Open access · hybridAbstract read
In one paragraph

Article in Experimental gerontology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. 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

10 authors at 3 institutions in 2 countries.

Rain KatzSchool of Public Health, Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
Emma L GaySchool of Public Health, Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
Allison L KuipersSchool of Public Health, Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
Joseph H LeeSergievsky Center, Taub Institute, Department of Epidemiology, Columbia University, New York, NY, USA; Sergievsky Center, Taub Institute, Department of Neurology, Columbia University, New York, NY, USA.
Lawrence S HonigSergievsky Center, Taub Institute, Department of Neurology, Columbia University, New York, NY, USA.
Kaare ChristensenDepartment of Public Health, Unit of Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, Odense, Denmark.
Mary F FeitosaDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
Mary K WojczynskiDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
Nancy W GlynnSchool of Public Health, Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: epidnwg@pitt.edu.
LLFS Research Group
University of Pittsburgh · USColumbia University · USUniversity of Southern Denmark · DK

Funding

The Long Life Family StudyU19AG063893 · NIA · WASHINGTON UNIVERSITY · PI Michael A. Province · 2019 to 2026
$125.4M
Long Life Family Study: Data Management and Coordinating CenterU01AG023746 · NIA · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2004 to 2018
$29.2M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
TRAJECTORIES OF MORTALITY IN CAENORHABDITIS ELEGANSP01AG008761 · NIA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ROACH, DEBORAH A · 1990 to 2008
$17.5M
The Long Life Family StudyU01AG023755 · NIA · BOSTON MEDICAL CENTER · PI PERLS, THOMAS T · 2004 to 2018
$13.2M
Plasma beta-amyloid in long lived families: genetics and risk of ADU01AG023749 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI COSENTINO, STEPHANIE ANN, LEE, JOSEPH HYUNGWOO · 2004 to 2018
$13.0M
Multicenter Study on Exceptional Survival in Families: The Long Life Family StudyU01AG023744 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B., ZMUDA, JOSEPH M. · 2004 to 2018
$12.0M
Long Life Family Study: Duke Univ./Univ. of Southern Denmark Field CenterU01AG023712 · NIA · DUKE UNIVERSITY · PI CHRISTENSEN, KAARE · 2004 to 2018
$10.4M
Cardiovascular Epidemiology Training ProgramT32HL083825 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AKIRA SEKIKAWA · 2008 to 2026
$6.1M
NHLBI NIH HHS T32 HL083825NIA NIH HHS P01 AG008761NIA NIH HHS P30 AG024827NIA NIH HHS U01 AG023712NIA NIH HHS U01 AG023744NIA NIH HHS U01 AG023746NIA NIH HHS U01 AG023749NIA NIH HHS U01 AG023755NIA NIH HHS U19 AG063893
6 · The paper itself

Abstract

backgroundLeukocyte telomere length (LTL) is a potential genomic marker of biological aging, but its relation to fatigability, a prognostic indicator of phenotypic aging (e.g., functional decline) is unknown. We hypothesized shorter LTL would predict greater perceived physical fatigability, but that this association would be attenuated by adjusting for chronological age.

methodsTwo generations of participants (N = 1997; 309 probands, 1688 offspring) were from the Long Life Family Study (age = 73.7 ± 10.4, range 60-108, 54.4 % women), a longitudinal cohort study of aging. LTL was assayed at baseline. Perceived physical fatigability was measured 8.0 ± 1.1 years later using the validated, self-administered 10-item Pittsburgh Fatigability Scale (PFS, 0-50, higher scores = greater fatigability). Generalized estimating equations were generated to model the association between LTL and PFS Physical scores.

resultsPrevalence of greater physical fatigability (PFS scores≥15) was 41.9 %. Using generalized estimating equations, a one kilobase pair shorter LTL was associated with higher PFS Physical scores (β = 1.8, p < .0001), accounting for family structure, and adjusting for field center, follow-up time, sex, and follow-up body mass index, physical activity, and chronic health conditions. When age was included as a covariate, the association was fully attenuated (β = 0.1, p = .78).

conclusionLTL may provide an alternative method for estimating an individual's lifetime exposure to chronic stressors, but does not appear to provide additional information not captured by chronological age. Further research is needed to characterize the interaction between age, LTL, and perceived fatigability, and develop a method of identifying individuals at risk for deleterious aging.

Indexed as

LeukocytesTelomereAgedAged, 80 and overAgingFatigueFemaleHumansLongitudinal StudiesMaleBiological ageFamily studyFatigueTelomeres

Identifiers

PMID36302456
PMCPMC11467958
OpenAlexW4307177019

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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.