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Cited by 220

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Cumulative Environmental Risk and Youth Maladjustment: The Role of Youth Attributes

Gerard, Jean M, Buehler, Cheryl·2004·Child Development

Abstract

Using data from 5,070 youth ages 11 to 18 years old who participated in the National Longitudinal Study of Adolescent Health, concurrent and longitudinal associations among cumulative risk, protective factors, and youth maladjustment were examined. Cumulative risk was associated with concurrent conduct problems and depressed mood. For conduct problems, a compensatory effect was found for scholastic achievement and problem-solving ability. For depressed mood, a compensatory effect was found for scholastic achievement. A protective-reactive effect of self-esteem was found for both forms of maladjustment. Youth gender, grade, and ethnicity moderated these associations. Cumulative risk predicted change over time in depressed mood. Scholastic achievement and self-esteem compensated for this risk. Findings indicate that youth attributes offer limited protection when adolescents experience risk factors across life domains.

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Crossref · 10.1111/j.1467-8624.2004.00820.x

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Metadata

Authors
Gerard, J. M., & Buehler, C.
Venue
Child Development
Published
2004-11-22
Volume
75
Issue
6
Pages
1832-1849
ISSN
  • 0009-3920 (ISSN-L)
  • 1467-8624
OpenAlex
W2043055390
Cited by
220
References
3
FWCI
8.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cumulative Environmental Risk and Youth Maladjustment: The Role of Youth Attributes. https://app.cochat.ai/papers/10.1111/j.1467-8624.2004.00820.x
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Gerard, J. M., & Buehler, C. (2004). Cumulative Environmental Risk and Youth Maladjustment: The Role of Youth Attributes. Child Development. https://doi.org/10.1111/j.1467-8624.2004.00820.x

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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.