Evidence map›Paper›PMID 35709880›Full record

ArticleNeuroscience letters2022

Association between late maternal age and age-related endophenotypes in the Long Life Family Study.

Sandra Barral, Stacy L Andersen, Thomas T Perls, Harold Bae, Paola Sebastiani, Kaare Christensen, Bharat Thyagarajan, Joseph Lee, Nicole Schupf

Abstract read
In one paragraph

Article in Neuroscience letters, 2022. 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. RBFOX1 association with age at onset of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  2. Reproductive health history and later life cognition in African Caribbean women.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  3. Article
  4. 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

9 authors.

Sandra BarralThe Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA; G.H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA; The Department of Neurology, Columbia University Medical Center, New York, NY, USA. Electronic address: smb2174@cumc.columbia.edu.
Stacy L AndersenBoston University School of Medicine, Department of Medicine, Boston, MA, USA.
Thomas T PerlsDepartment of Medicine, Boston University School of Medicine, Boston, MA, USA.
Harold BaeSchool of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University Corvallis, OR, USA.
Paola SebastianiInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.
Kaare ChristensenUniversity of Southern Denmark, Odense, Denmark, Department of Epidemiology, Biostatistics and Biodemography, Odense, Denmark.
Bharat ThyagarajanDepartment of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA.
Joseph LeeThe Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA; G.H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA; The Department of Neurology, Columbia University Medical Center, New York, NY, USA.
Nicole SchupfThe Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA; G.H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA; The Department of Neurology, Columbia University Medical Center, New York, NY, USA; The Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA.

Funding

The Long Life Family StudyU19AG063893 · NIA · WASHINGTON UNIVERSITY · PI Bharat Thyagarajan · 2019 to 2026
$125.4M
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
NIA NIH HHS U01 AG023749NIA NIH HHS U19 AG063893
6 · The paper itself

Abstract

Extended maternal age has been suggested as marker of delayed age-associated disabilities. We use the Long Life Family Study (LLFS) offspring generation to investigate the association between extended maternal age at last childbirth and healthy-aging endophenotypes. We hypothesize that women with extended maternal age at last childbirth will exhibit healthier endophenotype profiles compared to younger mothers. The association between maternal age and age-related endophenotypes previously derived in LLFS was assessed using Generalized Estimating Equations to adjust for relatedness. The quartiles of the maternal age at last childbirth were modeled as the independent variables. Univariate analyses tested the association between maternal age at last childbirth and age at clinical assessment, education, field center, Apolipoprotein E (APOE) genotype, depression, stress, smoking and successful pregnancies. Only the variables significantly associated in the univariate analyses were considered in secondary multivariate analyses. Univariate analyses showed that compared to older mothers (age at last birth ≥35), mothers 30 years old or younger at last childbirth are less educated (12 ± 3 years versus 13 ± 3 years) and have a higher frequency of smoking (9% versus 3% for maternal age ≥35). Results showed that older mothers (age at last birth ≥31-34 or ≥ 35) demonstrated significantly better cognitive profiles (p = 0.017 and p = 0.021 respectively) compared with mothers with last childbirth age ≤30. Later maternal age among women from long-life families is associated with a better cognitive profile, supporting the hypothesis that later age at childbirth may be a marker for healthy aging.

Indexed as

EndophenotypesMothersAdultEducational StatusFemaleHumansMaternal AgePregnancySmokingAge-related endophenotypesLate maternal ageLong-lived families

Identifiers

PMID35709880
PMCPMC11061875

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.