Evidence map›Paper›PMID 26014827›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2016

Early-Life Intelligence Predicts Midlife Biological Age.

Jonathan D Schaefer, Avshalom Caspi, Daniel W Belsky, Honalee Harrington, Renate Houts, Salomon Israel, Morgan E Levine, Karen Sugden, Benjamin Williams, Richie Poulton and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
9.8field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Change in the Rate of Biological Aging in Response to Caloric Restriction: CALERIE Biobank Analysis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2017
    Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Autistic traits are associated with faster pace of aging: Evidence from the Dunedin study at age 45.Autism research : official journal of the International Society for Autism Research · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Childhood IQ predicts age-38 oral disease experience and service-use.Community dentistry and oral epidemiology · 2019
    Article
  17. Article
  18. Article
  19. Article
  20. 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 3 institutions in 4 countries.

Jonathan D SchaeferDepartment of Psychology and Neuroscience, Duke University, Durham, North Carolina. jds116@duke.edu.
Avshalom CaspiDepartment of Psychology and Neuroscience, Duke University, Durham, North Carolina.
Daniel W BelskySocial Science Research Institute, Duke University, Durham, North Carolina.
Honalee HarringtonDepartment of Psychology and Neuroscience, Duke University, Durham, North Carolina.
Renate HoutsDepartment of Psychology and Neuroscience, Duke University, Durham, North Carolina.
Salomon IsraelDepartment of Psychology and Neuroscience, Duke University, Durham, North Carolina.
Morgan E LevineDepartment of Human Genetics, University of California, Los Angeles, California.
Karen SugdenDepartment of Psychology and Neuroscience, Duke University, Durham, North Carolina.
Benjamin WilliamsDepartment of Psychology and Neuroscience, Duke University, Durham, North Carolina.
Richie PoultonDunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand.
Terrie E MoffittSocial, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King's College, London, UK.
Duke University · USUniversity of California, Los Angeles · USUniversity of Otago · NZ

Funding

Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Virginia B Kraus · 2006 to 2026
$24.6M
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
BEHAVIOR AND PHYSIOLOGY IN AGINGT32AG000029 · NIA · DUKE UNIVERSITY · PI Maria Marquine · 1985 to 2026
$9.3M
T32 Administrative Supplement for Increase in Postdoc StipendsT32AG000139 · NIA · DUKE UNIVERSITY · PI LYNCH, SCOTT M. · 1987 to 2017
$4.0M
Medical Research Council G0100527Medical Research Council G0601483Medical Research Council G9806489Medical Research Council MR/K00381XMedical Research Council MR/K00381X/1NIA NIH HHS P30 AG028716NIA NIH HHS P30 AG034424NIA NIH HHS T32 AG000029NIA NIH HHS T32 AG000139
6 · The paper itself

Abstract

objectivesEarly-life intelligence has been shown to predict multiple causes of death in populations around the world. This finding suggests that intelligence might influence mortality through its effects on a general process of physiological deterioration (i.e., individual variation in "biological age"). We examined whether intelligence could predict measures of aging at midlife before the onset of most age-related disease.

methodsWe tested whether intelligence assessed in early childhood, middle childhood, and midlife predicted midlife biological age in members of the Dunedin Study, a population-representative birth cohort.

resultsLower intelligence predicted more advanced biological age at midlife as captured by perceived facial age, a 10-biomarker algorithm based on data from the National Health and Nutrition Examination Survey (NHANES), and Framingham heart age (r = 0.1-0.2). Correlations between intelligence and telomere length were less consistent. The associations between intelligence and biological age were not explained by differences in childhood health or parental socioeconomic status, and intelligence remained a significant predictor of biological age even when intelligence was assessed before Study members began their formal schooling. DISCUSSION: These results suggest that accelerated aging may serve as one of the factors linking low early-life intelligence to increased rates of morbidity and mortality.

Indexed as

AdultAgingBiomarkersChildChild, PreschoolCohort StudiesFemaleHuman DevelopmentHumansIntelligenceMaleNew ZealandTelomereBiomarkersAging—BiomarkersCognitionIntelligenceIQ

Identifiers

PMID26014827
PMCPMC5067943
OpenAlexW2284077887

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.