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Cited by 988

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

The development of depression in children and adolescents.

Cicchetti, Dante, Toth, Sheree L.·1998·American Psychologist
DOI 10.1037/0003-066x.53.2.221
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Abstract

In recent decades, research on child and adolescent depression has proliferated. Currently, attention in the field is directed toward examining the epidemiology, causes, course, sequelae, and treatment response of children at risk for developing or presently experiencing depressive disorders. In this article, a developmental psychopathology approach is used to elucidate the development of depressive disorders, the diverse pathways that evolve, and the processes that contribute to varied outcomes. The developmental psychopathology perspective underscores the importance of moving beyond the identification of isolated aberrations in psychological and biological components of depressive presentations to the understanding of how those components have evolved and how they are integrated within and transact across biological, psychological, and social systems. Implications for prevention and intervention are addressed as is the importance of increasing the public awareness of depressive disorders and reducing the social stigma that interfere with the attainment of treatment for depressed persons.

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Crossref · 10.1037/0003-066x.53.2.221

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Metadata

Authors
Cicchetti, D., & Toth, S. L.
Venue
American Psychologist
Publisher
American Psychological Association (APA)
Published
1998-02
Volume
53
Issue
2
Pages
221-241
ISSN
  • 0003-066X (ISSN-L)
  • 1935-990X
DOI
10.1037/0003-066x.53.2.221
OpenAlex
W2042559212
Cited by
988
References
16
FWCI
35.67
Type
journal article
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.