Evidence map›Paper›PMID 31332674›Full record

ArticleGeroScience2019

Heterogeneity of healthy aging: comparing long-lived families across five healthy aging phenotypes of blood pressure, memory, pulmonary function, grip strength, and metabolism.

Megan M Marron, Mary K Wojczynski, Ryan L Minster, Robert M Boudreau, Paola Sebastiani, Stephanie Cosentino, Bharat Thyagarajan, Svetlana V Ukraintseva, Nicole Schupf, Kaare Christensen and 5 more

Abstract readMulticenter Study
In one paragraph

Article in GeroScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. All-Cause Mortality and Cause-Specific Death in U.S. Long-Lived Siblings: Data From the Long Life Family Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. NIA Long Life Family Study: Objectives, Design, and Heritability of Cross-Sectional and Longitudinal Phenotypes.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  11. Article
  12. Review
  13. Article
  14. 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

15 authors.

Megan M MarronDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, 5126 Public Health, 130 DeSoto Street, Pittsburgh, PA, 15261, USA.ORCID 0000-0001-9561-3966
Mary K WojczynskiDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
Ryan L MinsterDepartment of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Robert M BoudreauDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, 5126 Public Health, 130 DeSoto Street, Pittsburgh, PA, 15261, USA.
Paola SebastianiDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Stephanie CosentinoTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA.
Bharat ThyagarajanDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Svetlana V UkraintsevaCenter for Population Health and Aging, Duke University, Durham, NC, USA.
Nicole SchupfTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA.
Kaare ChristensenThe Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Mary FeitosaDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
Thomas PerlsDepartment of Medicine, Geriatrics Section, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA.
Joseph M ZmudaDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, 5126 Public Health, 130 DeSoto Street, Pittsburgh, PA, 15261, USA.
Anne B NewmanDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, 5126 Public Health, 130 DeSoto Street, Pittsburgh, PA, 15261, USA. newmana@edc.pitt.edu.
Long Life Family Study

Funding

The Long Life Family StudyU19AG063893 · NIA · WASHINGTON UNIVERSITY · PI Stacy Andersen, KAARE CHRISTENSEN · 2019 to 2026
$125.4M
Research Education CoreP30AG066462 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PHILIP L DE JAGER · 2020 to 2026
$30.1M
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
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
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
Relationships among Genetic Regulators of Aging Health and LifespanP01AG043352 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2014 to 2018
$8.7M
NIA NIH HHS P01 AG043352NIA NIH HHS P30 AG024827NIA NIH HHS P30 AG066462NIA NIH HHS R01 AG023629NIA NIH HHS T32-AG0001810NIA 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

Five healthy aging phenotypes were developed in the Long Life Family Study to uncover longevity pathways and determine if healthy aging across multiple systems clustered in a subset of long-lived families. Using blood pressure, memory, pulmonary function, grip strength, and metabolic measures (body mass index, waist circumference and fasting levels of glucose, insulin, triglycerides, lipids, and inflammatory markers), offspring were ranked according to relative health using gender-, age-, and relevant confounder-adjusted z-scores. Based on our prior work, families met a healthy aging phenotype if ≥ 2 and ≥ 50% of their offspring were exceptionally healthy for that respective phenotype. Among 426 families, only two families met criteria for three healthy aging phenotypes and none met criteria for four or more healthy aging phenotypes. Using Spearman correlation, the proportion of offspring within families with exceptionally healthy pulmonary function was correlated with the proportion of offspring within families with exceptional strength (r = 0.19, p = 0.002). The proportion of offspring within families meeting the healthy blood pressure and metabolic phenotypes were also correlated (r = 0.14, p = 0.006), and more families were classified as meeting healthy blood pressure and metabolic phenotypes (Kappa = 0.10, p = 0.02), as well as the healthy pulmonary and blood pressure phenotypes than expected by chance (Kappa = 0.09, p = 0.03). Other phenotypes were weakly correlated (|r| ≤ 0.07) with low pairwise agreement (Kappa ≤ 0.06). Among these families selected for familial longevity, correspondence between healthy aging phenotypes was weak, supporting the heterogeneous nature of longevity and suggesting biological underpinnings of each individual phenotype should be examined separately to determine their shared and unique determinants.

Indexed as

PhenotypeBlood GlucoseBlood PressureBody Mass IndexCholesterol, HDLCohort StudiesC-Reactive ProteinDenmarkFamilyHand StrengthHealthy AgingHumansInsulinInterleukin-6LongevityMemoryBlood GlucoseCholesterol, HDLC-Reactive ProteinInsulinInterleukin-6TriglyceridesFamilial longevityHealthy aging

Identifiers

PMID31332674
PMCPMC6815318

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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.