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Cited by 340

The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.

The Case for Conscientiousness: Evidence and Implications for a Personality Trait Marker of Health and Longevity

Open access
Bogg, Tim, Roberts, Brent W.·2013·Annals of Behavioral Medicine

Abstract

PURPOSE: Recent initiatives by major funding agencies have emphasized translational and personalized approaches (e.g., genetic testing) to health research and health management. While such directives are appropriate, and will likely produce tangible health benefits, we seek to highlight a confluence of several lines of research showing relations between the personality dimension of conscientiousness and a variety of health-related outcomes. METHODS: Using a modified health process model, we review the compelling evidence linking conscientiousness to health and disease processes, including longevity, diseases, morbidity-related risk factors, health-related psychophysiological mechanisms, health-related behaviors, and social environmental factors related to health. CONCLUSION: We argue the accumulated evidence supports greater integration of conscientiousness into public health, epidemiological, and medical research, with the ultimate aim of understanding how facilitating more optimal trait standing might foster better health.

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Metadata

Authors
Bogg, T., & Roberts, B. W.
Venue
Annals of Behavioral Medicine
Published
2012-12-08
Volume
45
Issue
3
Pages
278-288
ISSN
  • 0742-5554 (ISSN-L)
  • 0883-6612
  • 1532-4796
OpenAlex
W2025387716
Cited by
340
References
102
FWCI
17.68
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The Case for Conscientiousness: Evidence and Implications for a Personality Trait Marker of Health and Longevity. https://app.cochat.ai/papers/10.1007/s12160-012-9454-6
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Bogg, T., & Roberts, B. W. (2013). The Case for Conscientiousness: Evidence and Implications for a Personality Trait Marker of Health and Longevity. Annals of Behavioral Medicine. https://doi.org/10.1007/s12160-012-9454-6

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.