Evidence map›Paper›PMID 37862467›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2024

Educational Influences on Late-Life Health: Genetic Propensity and Attained Education.

Malin Ericsson, Brian Finch, Ida K Karlsson, Margaret Gatz, Chandra A Reynolds, Nancy L Pedersen, Miriam A Mosing

Open access · hybridAbstract readTwin Study
PubMed Full text at PMC Publisher
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. For reducing premature adult mortality in India, education matters more than income.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. 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

7 authors at 4 institutions in 3 countries.

Malin EricssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-0647-0148
Brian FinchCenter for Social and Economic Research, University of Southern California, Los Angeles, California, USA.
Ida K KarlssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-3605-7829
Margaret GatzCenter for Social and Economic Research, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-1071-9970
Chandra A ReynoldsDepartment of Psychology, University of California, Riverside, Riverside, California, USA.ORCID 0000-0001-6502-7173
Nancy L PedersenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Miriam A MosingDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SEUniversity of Southern California · USStockholm University · SEUniversity of California, Riverside · US

Funding

Clarifying risk and protective factors for dementia with the Interplay of Genes and Environment in Multiple Studies (IGEMS) consortiumR01AG060470 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GATZ, MARGARET, PEDERSEN, NANCY L · 2018 to 2022
$3.6M
SES health gradients in late life: testing models of gene-environment interplay in an international twin consortiumR01AG059329 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FINCH, BRIAN K., GATZ, MARGARET · 2018 to 2022
$2.9M
NIA NIH HHS R01 AG059329NIA NIH HHS R01 AG060470NIH HHS 1R01AG059329-01A1
6 · The paper itself

Abstract

objectivesThe educational gradient in late-life health is well established. Despite this, there are still ambiguities concerning the role of underlying confounding by genetic influences and gene-environment (GE) interplay. Here, we investigate the role of educational factors (attained and genetic propensities) on health and mortality in late life using genetic propensity for educational attainment (as measured by a genome-wide polygenic score, PGSEdu) and attained education.

methodsBy utilizing genetically informative twin data from the Swedish Twin Registry (n = 14,570), we investigated influences of the educational measures, familial confounding as well as the possible presence of passive GE correlation on both objective and subjective indicators of late-life health, that is, the Frailty Index, Multimorbidity, Self-rated health, cardiovascular disease, and all-cause mortality.

resultsUsing between-within models to adjust for shared familial factors, we found that the relationship between educational level and health and mortality later in life persisted despite controlling for familial confounding. PGSEdu and attained education both uniquely predicted late-life health and mortality, even when mutually adjusted. Between-within models of PGSEdu on the health outcomes in dizygotic twins showed weak evidence for passive GE correlation (prGE) in the education-health relationship. DISCUSSION: Both genetic propensity to education and attained education are (partly) independently associated with health in late life. These results lend further support for a causal education-health relationship but also raise the importance of genetic contributions and GE interplay.

Indexed as

Academic SuccessCardiovascular DiseasesEducational StatusHumansTwins, DizygoticAgingEducational attainmentGene–environment correlationGeneticsTwin studies

Identifiers

PMID37862467
PMCPMC10745256
OpenAlexW4387805442

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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.