Evidence map›Paper›PMID 23181432›Full record

ReviewDevelopmental psychology2014

Genetic strategies for probing conscientiousness and its relationship to aging.

Susan C South, Robert F Krueger

Abstract readReviewTwin Study
In one paragraph

Review in Developmental psychology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. IGEMS: The Consortium on Interplay of Genes and Environment Across Multiple Studies - An Update.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2019
    Trial
  2. The Interplay of Genes and Environment Across Multiple Studies (IGEMS) Consortium After Fifteen Years.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2026
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Susan C SouthDepartment of Psychological Sciences, Purdue University.
Robert F KruegerDepartment of Psychology, University of Minnesota-Twin Cities.

Funding

STATISTICS COREP01AG020166 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2002 to 2015
$50.6M
NIA NIH HHS AG20166NIA NIH HHS P01 AG020166
6 · The paper itself

Abstract

Conscientiousness is an important trait for understanding healthy aging. The present article addresses how behavioral and molecular genetics methodologies can aid in furthering explicating the link between conscientiousness and aspects of health and well-being in later life. We review the etiology of conscientiousness documented by both quantitative and molecular genetics methods. We also discuss the ways behavior genetics can be used to continue to help refine the concept of conscientiousness and to help identify points of etiological overlap between conscientiousness and healthy aging outcomes. Phenotypic research has established nontrivial associations between conscientiousness and important outcomes, but behavior genetic methods can determine what the causal (genetic and environmental) mechanisms are behind these relationships. An empirical example of one of these techniques is provided using twin data from the Midlife in the United States (MIDUS) study. We demonstrate that conscientiousness moderates genetic and environmental influences on problem alcohol use, such that greater levels of conscientiousness buffer against the random effects of the environment. Finally, suggestions for future work in this area are discussed.

Indexed as

AdultAgedAgingAlcohol-Related DisordersFemaleGene-Environment InteractionGenetic TechniquesHumansMaleMiddle AgedModels, GeneticModels, PsychologicalPersonalityUnited States

Identifiers

PMID23181432
PMCPMC3776017

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.