Download
s40519-020-00974-9.pdf 711,51KB
WeightNameValue
1000 Titel
  • Implicit bias to food and body cues in eating disorders: a systematic review
1000 Autor/in
  1. Paslakis, Georgios |
  2. Scholz-Hehn, Anne Deborah |
  3. Sommer, Laura Marie |
  4. Kühn, Simone |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-08-08
1000 Erschienen in
1000 Quellenangabe
  • 26(5):1303-1321
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s40519-020-00974-9 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128803/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background: Rigid, restrictive eating patterns, fear of gaining weight, body image concerns, but also binge eating episodes with loss of control leading to overweight, at times followed by compensatory measures to control weight, are typical symptoms in eating disorders (EDs). The regulation of food intake in EDs may underlie explicit processes that require cognitive insight and conscious control or be steered by implicit mechanisms that are mostly automatic, rapid, and associated with affective - rather than cognitive - processing. While introspection is not capable of assessing implicit responses, so-called indirect experimental tasks can assess implicit responses underlying a specific behavior by-passing the participant's consciousness. Here, we aimed to present the current evidence regarding studies on implicit biases to food and body cues in patients with EDs. Methods: We performed a systematic review (PRISMA guidelines). We included controlled studies performed in clinical ED cohorts (vs. healthy control subjects or another control condition, e.g., restrictive vs. binge/purge AN) and using at least one indirect assessment method of interest. Results: Out of 115 screened publications, we identified 29 studies fulfilling the eligibility criteria, and present a synthesis of the essential findings and future directions. Conclusion: In this emerging field of research, the present work provides cornerstones of evidence highlighting aspects of implicit regulation in eating disorders. Applying both direct (e.g., self-reports) and indirect measures for the assessment of both explicit and implicit responses is necessary for a comprehensive investigation of the interplay between these different regulatory mechanisms and eating behavior. Targeted training of implicit reactions is already in use and represents a useful future tool as an add-on to standard psychotherapeutic treatments in the battle against eating disorders. Evidence level: 1 (systematic review).
1000 Sacherschließung
lokal Binge eating disorder
lokal Humans [MeSH]
lokal Food [MeSH]
lokal Prejudice [MeSH]
lokal Binge-Eating Disorder [MeSH]
lokal Approach avoidance task
lokal Cues [MeSH]
lokal Anorexia nervosa
lokal Bulimia nervosa
lokal Feeding and Eating Disorders [MeSH]
lokal Implicit
lokal Review
lokal Bias
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/UGFzbGFraXMsIEdlb3JnaW9z|https://orcid.org/0000-0003-0342-5883|https://frl.publisso.de/adhoc/uri/U29tbWVyLCBMYXVyYSBNYXJpZQ==|https://frl.publisso.de/adhoc/uri/S8O8aG4sIFNpbW9uZQ==
1000 Hinweis
  • DeepGreen-ID: fa03abf3af224c259dae77ab1b95ad62 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6471840.rdf
1000 Erstellt am 2023-11-18T16:10:48.815+0100
1000 Erstellt von 322
1000 beschreibt frl:6471840
1000 Zuletzt bearbeitet 2024-04-04T10:54:16.245+0200
1000 Objekt bearb. Thu Apr 04 10:54:16 CEST 2024
1000 Vgl. frl:6471840
1000 Oai Id
  1. oai:frl.publisso.de:frl:6471840 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source