Evidence map›Paper›PMID 24588093›Full record

ArticleJournal of personality and social psychology2014

Translating personality psychology to help personalize preventive medicine for young adult patients.

Salomon Israel, Terrie E Moffitt, Daniel W Belsky, Robert J Hancox, Richie Poulton, Brent Roberts, W Murray Thomson, Avshalom Caspi

Abstract read
In one paragraph

Article in Journal of personality and social psychology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
8.9field-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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 96 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Priorities for Rural Lymphoma Survivors: A Qualitative Study.Clinical lymphoma, myeloma & leukemia · 2020
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  6. The Continuity of Adversity: Negative Emotionality Links Early Life Adversity With Adult Stressful Life Events.Clinical psychological science : a journal of the Association for Psychological Science · 2024
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  12. Childhood Adversity and Midlife Health: Shining a Light on the Black Box of Psychosocial Mechanisms.Prevention science : the official journal of the Society for Prevention Research · 2023
    Article
  13. Article
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  15. Article
  16. Personality and Everyday Functioning in Older Adults With and Without HIV.Journal of clinical psychology in medical settings · 2022
    Article
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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

8 authors at 4 institutions in 3 countries.

Salomon IsraelDepartment of Psychology and Neuroscience, Institute for Genome Sciences and Policy, Duke University.
Terrie E MoffittDepartment of Psychology and Neuroscience, Institute for Genome Sciences and Policy, Duke University.
Daniel W BelskyCenter for the Study of Aging and Human Development, Duke University.
Robert J HancoxDepartment of Preventive and Social Medicine, University of Otago.
Richie PoultonDunedin Multidisciplinary Health and Development Research Unit, University of Otago.
Brent RobertsDepartment of Psychology, University of Illinois at Urbana-Champaign.
W Murray ThomsonUniversity of Illinois at Urbana-Champaign. W. Murray Thomson, Department of Oral Sciences, University of Otago.
Avshalom CaspiDepartment of Psychology and Neuroscience, Institute for Genome Sciences and Policy, Duke University.
Center for Genomic Science · ITUniversity of Illinois Urbana-Champaign · USUniversity of Otago · NZDuke University · US

Funding

Is mental disorder a preventable cause of age-related disease? The Dunedin Study.R01AG032282 · NIA · DUKE UNIVERSITY · PI CASPI, AVSHALOM, MOFFITT, TERRIE E · 2009 to 2025
$9.5M
BEHAVIOR AND PHYSIOLOGY IN AGINGT32AG000029 · NIA · DUKE UNIVERSITY · PI Maria Marquine · 1985 to 2026
$9.3M
Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI James Moody · 2015 to 2026
$5.7M
Neuropsychological and genomic signatures of violence exposure in childhoodR01HD077482 · NICHD · DUKE UNIVERSITY · PI CASPI, AVSHALOM · 2013 to 2018
$2.8M
Duke Population Research InstituteR24HD065563 · NICHD · DUKE UNIVERSITY · PI SANDERS, SETH G · 2010 to 2014
$1.4M
Oral health disparities in the first 4 decades of lifeR01DE015260 · NIDCR · UNIVERSITY OF OTAGO · PI THOMSON, WILLIAM MURRAY · 2004 to 2007
$591k
Social Inequality and Children's Mental HealthR01HD061298 · NICHD · DUKE UNIVERSITY · PI CASPI, AVSHALOM · 2009 to 2012
$478k
Medical Research Council MR/K00381XMedical Research Council MR/K00381X/1NIA NIH HHS AG032282NIA NIH HHS R01 AG032282NIA NIH HHS T32 AG000029NICHD NIH HHS HD061298NICHD NIH HHS HD077482NICHD NIH HHS P2C HD065563NICHD NIH HHS R01 HD061298NICHD NIH HHS R01 HD077482NICHD NIH HHS R24 HD065563NIDCR NIH HHS DE015260NIDCR NIH HHS R01 DE015260NIMHD NIH HHS L60 MD007327PHS HHS T32000029
6 · The paper itself

Abstract

The rising number of newly insured young adults brought on by health care reform will soon increase demands on primary care physicians. Physicians will face more young adult patients, which presents an opportunity for more prevention-oriented care. In the present study, we evaluated whether brief observer reports of young adults' personality traits could predict which individuals would be at greater risk for poor health as they entered midlife. Following the cohort of 1,000 individuals from the Dunedin Multidisciplinary Health and Development Study (Moffitt, Caspi, Rutter, & Silva, 2001), we show that very brief measures of young adults' personalities predicted their midlife physical health across multiple domains (metabolic abnormalities, cardiorespiratory fitness, pulmonary function, periodontal disease, and systemic inflammation). Individuals scoring low on the traits of Conscientiousness and Openness to Experience went on to develop poorer health even after accounting for preexisting differences in education, socioeconomic status, smoking, obesity, self-reported health, medical conditions, and family medical history. Moreover, personality ratings from peer informants who knew participants well, and from a nurse and receptionist who had just met participants for the first time, predicted health decline from young adulthood to midlife despite striking differences in level of acquaintance. Personality effect sizes were on par with other well-established health risk factors such as socioeconomic status, smoking, and self-reported health. We discuss the potential utility of personality measurement to function as an inexpensive and accessible tool for health care professionals to personalize preventive medicine. Adding personality information to existing health care electronic infrastructures could also advance personality theory by generating opportunities to examine how personality processes influence doctor-patient communication, health service use, and patient outcomes.

Indexed as

Health StatusHealth Status IndicatorsAdultFemaleHumansLongitudinal StudiesMaleNew ZealandPersonalityPersonality AssessmentPersonality InventoryPredictive Value of TestsRisk Factors

Identifiers

PMID24588093
PMCPMC3951727
OpenAlexW2148343899

What OpenQuestion holds

Textmetadata
LicenceTDM
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.