The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.
Behavioral and Biological Indicators of Impulsivity in the Development of Alcohol Use, Problems, and Disorders
Open accessAbstract
Alcohol use disorders (AUDs) are a devastating public health problem. The construct of impulsivity is biologically based and heritable, and its various dimensions are relevant for understanding alcohol use. The goal of the current manuscript is to review recent behavioral and biological research examining various dimensions of impulsivity and their relation to AUDs from risk for initial use through dependence and relapse. Moreover, we also highlight key psychological variables including affective processes as they relate to current use and early indications of alcohol problems, as well as psychopathology, violence, and aggression in relation to AUDs. Each section includes a critical summary and we conclude the review with future directions focused on issues relevant to measurement, causality, and intervention. Throughout the review, we attempt to be as specific as possible about the dimensions of impulsivity being referenced, while attempting to draw parallels and highlighting differences as the existing literature allows.
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Cites
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Cited by
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Metadata
- Authors
- Lejuez, C. W., Magidson, J. F., Mitchell, S. H., Sinha, R., Stevens, M. C., & De Wit, H.
- Venue
- Alcoholism: Clinical and Experimental Research
- Publisher
- Wiley
- Published
- 2010-07-21
- Volume
- 34
- Issue
- 8
- Pages
- 1334-1345
- ISSN
- 0145-6008 (ISSN-L)
- 1530-0277
- OpenAlex
- W1829304004
- Cited by
- 293
- References
- 97
- FWCI
- 15.31
- Type
- journal article
- Language
- en
- Open access
- green
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- Lejuez, C. W., Magidson, J. F., Mitchell, S. H., Sinha, R., Stevens, M. C., & De Wit, H. (2010). Behavioral and Biological Indicators of Impulsivity in the Development of Alcohol Use, Problems, and Disorders. Alcoholism: Clinical and Experimental Research. https://doi.org/10.1111/j.1530-0277.2010.01217.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.