Details

Autor(en) / Beteiligte

• Graham, Eileen K.
• Rutsohn, Joshua P.
• Turiano, Nicholas A.
• Bendayan, Rebecca
• Batterham, Philip J.
• Gerstorf, Denis
• Katz, Mindy J.
• Reynolds, Chandra A.
• Sharp, Emily S.
• Yoneda, Tomiko B.
• Bastarache, Emily D.
• Elleman, Lorien G.
• Zelinski, Elizabeth M.
• Johansson, Boo
• Kuh, Diana
• Barnes, Lisa L.
• Bennett, David A.
• Deeg, Dorly J.H.
• Lipton, Richard B.
• Pedersen, Nancy L.
• Piccinin, Andrea M.
• Spiro, Avron
• Muniz-Terrera, Graciela
• Willis, Sherry L.
• Warner Schaie, K.
• Roan, Carol
• Herd, Pamela
• Hofer, Scott M.
• Mroczek, Daniel K.

Titel

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

Ist Teil von

• Journal of research in personality, 2017-10, Vol.70, p.174-186

Ort / Verlag

United States: Elsevier Inc

Erscheinungsjahr

2017

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• •Neuroticism is associated with higher risk of mortality.•Extraversion, agreeableness, conscientiousness are associated with lower mortality.•Smoking has a small mediating effect on the neuroticism-mortality association.•These effects are consistent across 15 long term longitudinal studies.•Baseline age and country-of-origin partially explain heterogeneity in effects. 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.