The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Coming to Terms With Risk Factors for Eating Disorders: Application of Risk Terminology and Suggestions for a General Taxonomy.
Abstract
The aims of the present review are to apply a recent risk factor approach (H. C. Kraemer et al., 1997) to putative risk factors for eating disorders, to order these along a timeline, and to deduce general taxonomic questions. Putative risk factors were classified according to risk factor type, outcome (anorexia nervosa, bulimia nervosa, binge-eating disorder, full vs. partial syndromes), and additional factor characteristics (specificity, potency, need for replication). Few of the putative risk factors were reported to precede the onset of the disorder. Many factors were general risk factors; only few differentiated between the 3 eating disorder syndromes. Common risk factors from longitudinal and cross-sectional studies were gender, ethnicity, early childhood eating and gastrointestinal problems, elevated weight and shape concerns, negative self-evaluation, sexual abuse and other adverse experiences, and general psychiatric morbidity. Suggestions are made for the conceptualization of future risk factor studies.
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Risk factors for eating disorders.
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Perfectionism as a transdiagnostic process: A clinical review
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New insights into symptoms and neurocircuit function of anorexia nervosa
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Metadata
- Authors
- Jacobi, C., Hayward, C., de Zwaan, M., Kraemer, H. C., & Agras, W. S.
- Venue
- Psychological Bulletin
- Published
- 2004-01
- Volume
- 130
- Issue
- 1
- Pages
- 19-65
- ISSN
- 0033-2909 (ISSN-L)
- 1939-1455
- OpenAlex
- W2146508545
- Cited by
- 1,429
- References
- 19
- FWCI
- 49.89
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jacobi, C., Hayward, C., de Zwaan, M., Kraemer, H. C., & Agras, W. S. (2004). Coming to Terms With Risk Factors for Eating Disorders: Application of Risk Terminology and Suggestions for a General Taxonomy. Psychological Bulletin. https://doi.org/10.1037/0033-2909.130.1.19
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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.
