Evidence map›Paper›PMID 24977462›Full record

ArticleMenopause (New York, N.Y.)2015

Extended maternal age at birth of last child and women's longevity in the Long Life Family Study.

Fangui Sun, Paola Sebastiani, Nicole Schupf, Harold Bae, Stacy L Andersen, Avery McIntosh, Haley Abel, Irma T Elo, Thomas T Perls

Abstract read
In one paragraph

Article in Menopause (New York, N.Y.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
–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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Lab on a chip · 2023
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  8. The Interrelationship Between Female Reproductive Aging and Survival.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Review
  9. Article
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  11. Article
  12. Costs of reproduction and ageing in the human female.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
  13. Article
  14. Review
  15. Article
  16. Advanced Parental Age at Conception and Sex Affects Mitochondrial DNA Copy Number in Human and Fruit Flies.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
    Article
  17. Review
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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

9 authors.

Fangui SunFrom the 1Department of Biostatistics, School of Public Health, Boston University, Boston, MA; 2Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY; 3New England Centenarian Study, Geriatrics Section, School of Medicine, Boston University Medical Center, Boston, MA; 4Division of Biostatistics, Washington University in St Louis, St Louis, MO; and 5Population Studies Center, University of Pennsylvania, Philadelphia, PA.
Paola Sebastiani
Nicole Schupf
Harold Bae
Stacy L Andersen
Avery McIntosh
Haley Abel
Irma T Elo
Thomas T Perls

Funding

Long Life Family Study: Data Management and Coordinating CenterU01AG023746 · NIA · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2004 to 2018
$29.2M
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
Interdisciplinary Training for BiostatisticiansT32GM074905 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WHITE, LAURA FORSBERG · 2005 to 2019
$3.0M
NIA NIH HHS U01 AG023712NIA NIH HHS U01AG023712NIA NIH HHS U01 AG023744NIA NIH HHS U01 AG023746NIA NIH HHS U01AG023746NIA NIH HHS U01 AG023749NIA NIH HHS U01AG023749NIA NIH HHS U01 AG023755NIA NIH HHS U01AG023755NIA NIH HHS U01AG23744NIGMS NIH HHS T32 GM074905
6 · The paper itself

Abstract

objectiveThis study investigated the association between maternal age at birth of last child and likelihood of survival to advanced age.

methodsThis was a nested case-control study using Long Life Family Study data. Three hundred eleven women who survived past the oldest 5th percentile of survival (according to birth cohort-matched life tables) were identified as cases, and 151 women who died at ages younger than the top 5th percentile of survival were identified as controls. A Bayesian mixed-effect logistic regression model was used to estimate the association between maternal age at birth of last child and exceptional longevity among these 462 women.

resultsWe found a significant association for older maternal age, whereby women who had their last child beyond age 33 years had twice the odds for survival to the top 5th percentile of survival for their birth cohorts compared with women who had their last child by age 29 years (age between 33 and 37 y: odds ratio, 2.08; 95% CI, 1.13 to 3.92; older age: odds ratio, 1.92; 95% CI, 1.03 to 3.68).

conclusionsThis study supports findings from other studies demonstrating a positive association between older maternal age and greater odds for surviving to an unusually old age.

Indexed as

Maternal AgeAdultCase-Control StudiesDenmarkEducational StatusFemaleHumansLongevityLongitudinal StudiesOdds RatioPregnancySmokingUnited States

Identifiers

PMID24977462
PMCPMC4270889

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.