Network analysis

• Verfasst von: Smith, Kathryn [VerfasserIn]
• Verfasst von: Crosby, Ross D. [VerfasserIn]
• Verfasst von: Wonderlich, Stephen A. [VerfasserIn]
• Verfasst von: Forbush, Kelsie T. [VerfasserIn]
• Verfasst von: Mason, Tyler B. [VerfasserIn]
• Verfasst von: Moessner, Markus [VerfasserIn]
• Titel: Network analysis
• Titelzusatz: An innovative framework for understanding eating disorder psychopathology
• Verf.angabe: Kathryn E. Smith, Ross D. Crosby, Stephen A. Wonderlich, Kelsie T. Forbush, Tyler B. Mason, Markus Moessner
• E-Jahr: 2018
• Jahr: 16 February 2018
• Umfang: 9 S.
• Fussnoten: Gesehen am 16.12.2019
• Titel Quelle: Enthalten in: The international journal of eating disorders
• Ort Quelle: New York, NY : Wiley, 1981
• Jahr Quelle: 2018
• Band/Heft Quelle: 51(2018), 3, Seite 214-222
• ISSN Quelle: 1098-108X
• DOI: doi:10.1002/eat.22836
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1685677010

Abstract

Network theory and analysis is an emerging approach in psychopathology research that has received increasing attention across fields of study. In contrast to medical models or latent variable approaches, network theory suggests that psychiatric syndromes result from systems of causal and reciprocal symptom relationships. Despite the promise of this approach to elucidate key mechanisms contributing to the development and maintenance of eating disorders (EDs), thus far, few applications of network analysis have been tested in ED samples. We first present an overview of network theory, review the existing findings in the ED literature, and discuss the limitations of this literature to date. In particular, the reliance on cross-sectional designs, use of single-item self-reports of symptoms, and instability of results have raised concern about the inferences that can be made from network analyses. We outline several areas to address in future ED network analytic research, which include the use of prospective designs and adoption of multi-modal assessment methods. Doing so will provide a clearer understanding of whether network analysis can enhance our current understanding of ED psychopathology and inform clinical interventions.