Evidence map›Paper›PMID 38632885›Full record

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

Age and Sex Differences in the Genetic Architecture of Measures of Subjective Health: Relationships With Physical Health, Depressive Symptoms, and Episodic Memory.

Deborah Finkel, Margaret Gatz, Carol E Franz, Vibeke S Catts, Kaare Christensen, William Kremen, Marianne Nygaard, Brenda L Plassman, Perminder S Sachdev, Keith Whitfield and 1 more

Open access · bronzeAbstract read
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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 7 institutions in 4 countries.

Deborah FinkelCenter for Economic and Social Research, University of Southern California, Los Angeles, California, USA.
Margaret GatzCenter for Economic and Social Research, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-1071-9970
Carol E FranzDepartment of Psychiatry, University of California, San Diego, San Diego, California, USA.ORCID 0000-0002-8987-1755
Vibeke S CattsCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW, Sydney, Australia.
Kaare ChristensenDanish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-5429-5292
William KremenDepartment of Psychiatry, University of California, San Diego, San Diego, California, USA.ORCID 0000-0002-8629-5609
Marianne NygaardThe Danish Twin Registry, University of Southern Denmark, Odense, Denmark.ORCID 0000-0003-0703-2665
Brenda L PlassmanDepartments of Psychiatry and Neurology, Duke University School of Medicine, Durham, North Carolina, USA.
Perminder S SachdevCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW, Sydney, Australia.ORCID 0000-0002-9595-3220
Keith WhitfieldDepartment of Psychology and Brain and Health, University of Nevada, Las Vegas, Las Vegas, Nevada, USA.
Nancy L PedersenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Department of Health and Aged Care · AUUniversity of San Diego · USUniversity of Southern California · USUniversity of Southern Denmark · DKDuke University · USKarolinska Institutet · SEUniversity of Nevada, Las Vegas · US

Funding

The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0M
The VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3M
TRAJECTORIES OF MORTALITY IN CAENORHABDITIS ELEGANSP01AG008761 · NIA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI VAUPEL, JAMES W. · 1990 to 2008
$17.5M
The VETSA Longitudinal Twin Study of Cognition and AgingR01AG018384 · NIA · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LYONS, MICHAEL J. · 2002 to 2012
$9.8M
The VETSA longitudinal twin study of cognition and agingR01AG018386 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2002 to 2012
$9.7M
The VETSA Longitudinal MRI Twin Study of Aging (VETSA MRI 4)R01AG076838 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE, Jeremy A Elman · 2022 to 2026
$8.7M
Sex differences in the relationship between APOE and AD: Role of sexual differentiationRF1AG058068 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GATZ, MARGARET, LADU, MARY JO · 2017 to 2017
$3.8M
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
Gene-Environment Interplay of Social Contexts and Aging-Related OutcomesR01AG037985 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PEDERSEN, NANCY L · 2010 to 2014
$3.2M
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
GENETIC &ENVIRONMENTAL INFLUENCES--BIOBEHAVIORAL AGINGR01AG010175 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PEDERSEN, NANCY L · 1992 to 2006
$2.8M
The VETSA Longitudinal Twin Study of Cortisol and AgingR01AG022982 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2004 to 2007
$2.6M
Australian Research Council 401162Axel and Margaret Ax:son Johnson's FoundationCarolina African American Twin Study of Aging R01 AG13662Centre for Research Excellence 1079102Danish Agency for Science and InnovationJohn D. and Catherine T. MacArthur Foundation Research Network on Successful AgingJohn D. and Catherine T. MacArthur Foundation Research Network on Successful Midlife DevelopmentMacArthur Foundation Research Network on Successful AgingNational Health and Medical Research CouncilNIA NIH HHS P01 AG008761NIA NIH HHS R01 AG010175NIA NIH HHS R01 AG013662NIA NIH HHS R01 AG018384NIA NIH HHS R01 AG018386NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG022982NIA NIH HHS R01 AG037985NIA NIH HHS R01 AG050595NIA NIH HHS R01 AG059329NIA NIH HHS R01 AG060470NIA NIH HHS R01 AG076838NIA NIH HHS R21 AG039572NIA NIH HHS R56 AG037985NIA NIH HHS RF1 AG058068NIH HHS R01 AG059329Swedish Council for Working Life and Social Research 97:0147:1BSwedish Research Council 825-2007-7460U.S. Department of Veterans AffairsVårdalstiftelsenVelux FoundationVeteran Affairs (VA) San Diego Center of Excellence for Stress and Mental Health
6 · The paper itself

Abstract

objectivesSubjective health (SH) is not just an indicator of physical health, but also reflects active cognitive processing of information about one's own health and has been associated with emotional health measures, such as neuroticism and depression. Behavior genetic approaches investigate the genetic architecture of SH, that is, genetic and environmental influences on individual differences in SH and associations with potential components such as physical, cognitive, and emotional health. Previous twin analyses have been limited by sex, sample size, age range, and focus on single covariates.

methodsThe current analysis used data from 24,173 adults ranging in age from 40 to 90 years from the international Interplay of Genes and Environment across Multiple Studies consortium to investigate the genetic architecture of 3 measures of SH: self-rated health, health compared to others, and impact of health on activities. Independent pathways model of SH included physical health, depressive symptoms, and episodic memory, with age, sex, and country included as covariates.

resultsMost or all of the genetic variance for SH measures were shared with physical health, depressive symptoms, and episodic memory. Genetic architecture of SH differed across measures, age groups (40-65, 66-90), and sexes. Age comparisons indicated stronger correlations with all 3 covariates in older adults, often resulting from greater shared genetic variance. DISCUSSION: The predictive value of SH has been amply demonstrated. The higher genetic contributions to associations between SH and its components in older adults support the increasing conceptualization with age of SH as an intuitive summation of one's vital reserve.

Indexed as

DepressionHealth StatusMemory, EpisodicAdultAgedAged, 80 and overAge FactorsAgingDiagnostic Self EvaluationFemaleHumansMaleMiddle AgedSex FactorsCIRSSRHTwinsWord recall

Identifiers

PMID38632885
PMCPMC11127482
OpenAlexW4394920978

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