Evidence map›Paper›PMID 23913930›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2014

Heritability of and mortality prediction with a longevity phenotype: the healthy aging index.

Jason L Sanders, Ryan L Minster, M Michael Barmada, Amy M Matteini, Robert M Boudreau, Kaare Christensen, Richard Mayeux, Ingrid B Borecki, Qunyuan Zhang, Thomas Perls and 1 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 15% 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

55 citing papers in PubMed, 3 syntheses or guidelines pooled it, 96 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Effect of Intentional Weight Loss on Mortality Biomarkers in Older Adults With Obesity.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
    Trial
  6. Article
  7. Article
  8. Article
  9. What Makes for Healthy Ageing in the Torres Strait?The Australian journal of rural health · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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
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

11 authors at 6 institutions in 3 countries.

Jason L SandersGraduate School of Public Health, University of Pittsburgh, A527 Crabtree Hall, 130 DeSoto Street, Pittsburgh, PA 15261. newmana@edc.pitt.edu.
Ryan L Minster
M Michael Barmada
Amy M Matteini
Robert M Boudreau
Kaare Christensen
Richard Mayeux
Ingrid B Borecki
Qunyuan Zhang
Thomas Perls
Anne B Newman
University of Pittsburgh · USWashington University in St. Louis · USBoston Medical Center · USColumbia College · CAJohns Hopkins University · USUniversity of Southern Denmark · DK

Funding

Satellite Diagnostic and Treatment Clinic CoreP50AG008702 · NIA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI DE JAGER, PHILIP L · 1989 to 2019
$46.3M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano · 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
STALLARD Admin Supp: Predicting Future Care Needs and Costs for Individual Medicare Enrollees with Incident Suspected Alzheimer's DiseaseP30AG034424 · NIA · DUKE UNIVERSITY · PI SCOTT M. LYNCH · 2009 to 2026
$12.2M
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
CHS Events Follow-up StudyR01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2009 to 2014
$6.3M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
Predictors of Alheimers Disease in Mild Cognitive ImpairmentR01AG020098 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOPEZ, OSCAR L. · 2002 to 2011
$3.7M
Hormonal trajectories in agingR01AG027058 · NIA · UNIVERSITY OF PENNSYLVANIA · PI CAPPOLA, ANNE R · 2006 to 2009
$1.2M
NHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HL080295NHLBI NIH HHS N01 HC-15103NHLBI NIH HHS N01-HC-35129NHLBI NIH HHS N01-HC-45133NHLBI NIH HHS N01 HC-55222NHLBI NIH HHS N01-HC-75150NHLBI NIH HHS N01-HC-85079NHLBI NIH HHS N01-HC-85086NHLBI NIH HHS N01-HC-85239NIA NIH HHS 1F30-AG038093NIA NIH HHS AG-023629NIA NIH HHS AG-027058NIA NIH HHS AG-15928NIA NIH HHS AG-20098NIA NIH HHS P30 AG024827NIA NIH HHS P30 AG034424NIA NIH HHS P50 AG008702NIA NIH HHS R01 AG023629NIA NIH HHS U01 AG023712NIA NIH HHS U01AG023712NIA NIH HHS U01 AG023744NIA NIH HHS U01AG023744NIA NIH HHS U01 AG023749NIA NIH HHS U01AG023749NIA NIH HHS U01 AG023755
6 · The paper itself

Abstract

backgroundLongevity-associated genes may modulate risk for age-related diseases and survival. The Healthy Aging Index (HAI) may be a subphenotype of longevity, which can be constructed in many studies for genetic analysis. We investigated the HAI's association with survival in the Cardiovascular Health Study and heritability in the Long Life Family Study.

methodsThe HAI includes systolic blood pressure, pulmonary vital capacity, creatinine, fasting glucose, and Modified Mini-Mental Status Examination score, each scored 0, 1, or 2 using approximate tertiles and summed from 0 (healthy) to 10 (unhealthy). In Cardiovascular Health Study, the association with mortality and accuracy predicting death were determined with Cox proportional hazards analysis and c-statistics, respectively. In Long Life Family Study, heritability was determined with a variance component-based family analysis using a polygenic model.

resultsCardiovascular Health Study participants with unhealthier index scores (7-10) had 2.62-fold (95% confidence interval: 2.22, 3.10) greater mortality than participants with healthier scores (0-2). The HAI alone predicted death moderately well (c-statistic = 0.643, 95% confidence interval: 0.626, 0.661, p < .0001) and slightly worse than age alone (c-statistic = 0.700, 95% confidence interval: 0.684, 0.717, p < .0001; p < .0001 for comparison of c-statistics). Prediction increased significantly with adjustment for demographics, health behaviors, and clinical comorbidities (c-statistic = 0.780, 95% confidence interval: 0.765, 0.794, p < .0001). In Long Life Family Study, the heritability of the HAI was 0.295 (p < .0001) overall, 0.387 (p < .0001) in probands, and 0.238 (p = .0004) in offspring.

conclusionThe HAI should be investigated further as a candidate phenotype for uncovering longevity-associated genes in humans.

Indexed as

Genetic Predisposition to DiseaseAgedAgingCardiovascular DiseasesFemaleGenotypeHealth BehaviorHumansLongevityMalePhenotypeRetrospective StudiesRisk FactorsSurvival RateUnited StatesEpidemiologyGeneticsLongevitySuccessful aging.

Identifiers

PMID23913930
PMCPMC3968826
OpenAlexW2164514908

What OpenQuestion holds

Textmetadata
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.