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1000 Titel
  • Subclinical patterns of disordered eating behaviors in the daily life of adolescents and young adults from the general population
1000 Autor/in
  1. Peschel, Stephanie K. V. |
  2. Sigrist, Christine |
  3. Voss, Catharina |
  4. Fürtjes, Sophia |
  5. Berwanger, Johanna |
  6. Ollmann, Theresa M. |
  7. Kische, Hanna |
  8. Rückert, Frank |
  9. Koenig, Julian |
  10. Beesdo-Baum, Katja |
1000 Verlag BioMed Central
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-06-06
1000 Erschienen in
1000 Quellenangabe
  • 18(1):69
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s13034-024-00752-w |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11157754/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Disordered eating behaviors (DEBs), a risk factor for the development of eating disorders (EDs), are prevalent in young people and different DEBs frequently co-occur. Previous studies on DEB-patterns have largely used traditional retrospective questionnaires to assess DEBs. In addition, most previous studies did not specifically exclude individuals with clinical EDs, which limits current knowledge concerning purely subclinical patterns of DEBs. In the present study, we aimed to explore phenotypes and group sizes of subclinical patterns of DEBs reported in everyday life via smartphone-based ecological momentary assessment (EMA) in adolescents and young adults from the general population without lifetime EDs. In secondary analyses, we further aimed to investigate whether DEB-patterns would be associated with additional previously identified risk factors for ED-development.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>EMA was conducted in a community sample of 14–21-year-olds from Dresden, Germany, over four days for up to eight times a day and covered engagement in four DEBs: skipping eating, restrained eating, eating large amounts of food, and loss-of-control eating. Data were analyzed from <jats:italic>N</jats:italic> = 966 individuals without lifetime EDs with an EMA compliance rate of at least 50% (81.9% of the total sample; average compliance: 84.6%). Latent profile analyses were performed to identify subclinical patterns of DEBs, stratified by sex. Associations between symptomatic profiles and ED-risk factors were tested via regression analyses.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Based on theoretical deliberations, statistical indices, interpretability, and parsimony, a three-profile solution, namely no DEBs, high-mixed DEBs, and low-mixed DEBs, was selected for both sexes. Both symptomatic profiles in both sexes were associated with more unfavorable manifestations in additional ED risk factors compared to the no DEBs profile, with the highest number of associations being observed in the female high-mixed profile.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>The present findings suggest that problematic manifestations of DEBs in young people may occur even in the absence of an ED diagnosis and that they are associated with additional risk factors for EDs, warranting increased efforts in targeted prevention, early identification and intervention in order to counteract symptom progression.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Epidemiological study
lokal Research
lokal Ecological momentary assessment
lokal Disordered eating
lokal Latent profile analysis
lokal Risk factors
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/UGVzY2hlbCwgU3RlcGhhbmllIEsuIFYu|https://frl.publisso.de/adhoc/uri/U2lncmlzdCwgQ2hyaXN0aW5l|https://frl.publisso.de/adhoc/uri/Vm9zcywgQ2F0aGFyaW5h|https://frl.publisso.de/adhoc/uri/RsO8cnRqZXMsIFNvcGhpYQ==|https://frl.publisso.de/adhoc/uri/QmVyd2FuZ2VyLCBKb2hhbm5h|https://frl.publisso.de/adhoc/uri/T2xsbWFubiwgVGhlcmVzYSBNLg==|https://frl.publisso.de/adhoc/uri/S2lzY2hlLCBIYW5uYQ==|https://frl.publisso.de/adhoc/uri/UsO8Y2tlcnQsIEZyYW5r|https://frl.publisso.de/adhoc/uri/S29lbmlnLCBKdWxpYW4=|https://frl.publisso.de/adhoc/uri/QmVlc2RvLUJhdW0sIEthdGph
1000 Hinweis
  • DeepGreen-ID: e05ee9c276864ba1ab81e7992c7ad160 ; 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 Förderer
  1. Graduate Academy, TUD Dresden University of Technology |
  2. German Federal Ministry of Education and Research |
1000 Fördernummer
  1. -
  2. -
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Graduate Academy, TUD Dresden University of Technology |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer German Federal Ministry of Education and Research |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6521556.rdf
1000 Erstellt am 2025-07-06T08:45:25.570+0200
1000 Erstellt von 322
1000 beschreibt frl:6521556
1000 Zuletzt bearbeitet 2025-08-04T09:40:10.124+0200
1000 Objekt bearb. Mon Aug 04 09:40:10 CEST 2025
1000 Vgl. frl:6521556
1000 Oai Id
  1. oai:frl.publisso.de:frl:6521556 |
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