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Cited by 232

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Personality Traits in Late Adolescence Predict Mental Disorders in Early Adulthood: A Perspective‐Epidemiological Study

Krueger, Robert F.·1999·Journal of Personality

Abstract

Prospective relations between personality traits and mental disorders were assessed in a longitudinal study of a representative birth cohort of young men and women from Dunedin, New Zealand. Personality traits were assessed via self‐report questionnaire at age 18, and mental disorders were assessed via diagnostic interview at both ages 18 and 21. High “negative emotionality” (a propensity to experience aversive affective states) at age 18 was linked with affective, anxiety, substance dependence, and antisocial personality disorders at age 21 when corresponding mental disorders at age 18 were controlled. Low “constraint” (difficulty inhibiting the expression of affect and impulse) at age 18 was linked with substance dependence and antisocial personality disorders at age 21 when corresponding mental disorders at age 18 were controlled. The findings are discussed in terms of their implications for the development and treatment of mental disorders in young adulthood.

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Metadata

Authors
Krueger, R. F.
Venue
Journal of Personality
Publisher
Wiley
Published
1999-02
Volume
67
Issue
1
Pages
39-65
ISSN
  • 0022-3506 (ISSN-L)
  • 1467-6494
OpenAlex
W2110321070
Cited by
232
References
7
FWCI
6.15
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Personality Traits in Late Adolescence Predict Mental Disorders in Early Adulthood: A Perspective‐Epidemiological Study. https://app.cochat.ai/papers/10.1111/1467-6494.00047
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Krueger, R. F. (1999). Personality Traits in Late Adolescence Predict Mental Disorders in Early Adulthood: A Perspective‐Epidemiological Study. Journal of Personality. https://doi.org/10.1111/1467-6494.00047

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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.