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Optimizing prediction of binge eating episodes : a comparison approach to test alternative conceptualizations of the affect regulation model

Fuller-Tyszkiewicz,M, Richardson,B, Skouteris,H, Austin,D, Castle,D, Busija,L, Klein,B, Holmes,M and Broadbent,J 2014, Optimizing prediction of binge eating episodes : a comparison approach to test alternative conceptualizations of the affect regulation model, Journal of eating disorders, vol. 2, no. 28, pp. 1-14, doi: 10.1186/s40337-014-0028-9.

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Title Optimizing prediction of binge eating episodes : a comparison approach to test alternative conceptualizations of the affect regulation model
Author(s) Fuller-Tyszkiewicz,MORCID iD for Fuller-Tyszkiewicz,M orcid.org/0000-0003-1145-6057
Richardson,B
Skouteris,H
Austin,DORCID iD for Austin,D orcid.org/0000-0002-1296-3555
Castle,D
Busija,L
Klein,B
Holmes,M
Broadbent,JORCID iD for Broadbent,J orcid.org/0000-0003-4045-2039
Journal name Journal of eating disorders
Volume number 2
Issue number 28
Start page 1
End page 14
Publisher BioMed Central
Place of publication United Kingdom
Publication date 2014-09-14
ISSN 2050-2974
Keyword(s) threshold modeling
binge eating
negative mood
intensive longitudinal design
experience sampling
Summary Background : Although a wealth of studies have tested the link between negative mood states and likelihood of a subsequent binge eating episode, the assumption that this relationship follows a typical linear dose–response pattern (i.e., that risk of a binge episode increases in proportion to level of negative mood) has not been challenged. The present study demonstrates the applicability of an alternative, non-linear conceptualization of this relationship, in which the strength of association between negative mood and probability of a binge episode increases above a threshold value for the mood variable relative to the slope below this threshold value (threshold dose response model).

Methods
: A sample of 93 women aged 18 to 40 completed an online survey at random intervals seven times per day for a period of one week. Participants self-reported their current mood state and whether they had recently engaged in an eating episode symptomatic of a binge.

Results
: As hypothesized, the threshold approach was a better predictor than the linear dose–response modeling of likelihood of a binge episode. The superiority of the threshold approach was found even at low levels of negative mood (3 out of 10, with higher scores reflecting more  negative mood). Additionally, severity of negative mood beyond this threshold value appears to be useful for predicting time to onset of a binge episode.

Conclusions
: Present findings suggest that simple dose–response formulations for the association between  negative mood and onset of binge episodes miss vital aspects of this relationship. Most  notably, the impact of mood on binge eating appears to depend on whether a threshold value  of negative mood has been breached, and elevation in mood beyond this point may be useful  for clinicians and researchers to identify time to onset.
Language eng
DOI 10.1186/s40337-014-0028-9
Field of Research 170106 Health, Clinical and Counselling Psychology
Socio Economic Objective 920401 Behaviour and Health
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2014, BioMed Central
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30065653

Document type: Journal Article
Collections: Faculty of Health
School of Psychology
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.