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Personality predicts mortality risk: An integrative data analysis of 15 international longitudinal studies

Graham, EK; Rutsohn, JP; Turiano, NA; Bendayan, R; Batterham, PJ; Gerstorf, D; Katz, MJ; ... Mroczek, DK; + view all (2017) Personality predicts mortality risk: An integrative data analysis of 15 international longitudinal studies. Journal of Research in Personality , 70 pp. 174-186. 10.1016/j.jrp.2017.07.005. Green open access

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Abstract

This study examined the Big Five personality traits as predictors of mortality risk, and smoking as a mediator of that association. Replication was built into the fabric of our design: we used a Coordinated Analysis with 15 international datasets, representing 44,094 participants. We found that high neuroticism and low conscientiousness, extraversion, and agreeableness were consistent predictors of mortality across studies. Smoking had a small mediating effect for neuroticism. Country and baseline age explained variation in effects: studies with older baseline age showed a pattern of protective effects (HR < 1.00) for openness, and U.S. studies showed a pattern of protective effects for extraversion. This study demonstrated coordinated analysis as a powerful approach to enhance replicability and reproducibility, especially for aging-related longitudinal research.

Type: Article
Title: Personality predicts mortality risk: An integrative data analysis of 15 international longitudinal studies
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.jrp.2017.07.005
Publisher version: https://doi.org/10.1016/j.jrp.2017.07.005
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Social Sciences, Psychology, Social, Psychology, Personality, Mortality, Health behaviors, Replicability, Generalizability, ALL-CAUSE MORTALITY, COHORT PROFILE, COGNITIVE-ABILITIES, AGE, HEALTH, TEMPERAMENT, RELIABILITY, STABILITY, OUTCOMES, TRAITS
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
URI: https://discovery.ucl.ac.uk/id/eprint/1570697
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