To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Eating disorders are equally prevalent across socioeconomic status, and yet individuals facing socioeconomic adversity are far less likely to receive evidence-based treatments. A range of barriers contribute to this disparity, including limited awareness and provider training about eating disorders leading to underdiagnosis; a shortage of available services and long waitlists due to a lack of trained therapists, associated treatment costs (e.g. transportation expenses and costly treatment materials) and an insufficient understanding of the impact of an individual’s cultural context. While these barriers are experienced by many individuals with eating disorders, those with low income are particularly vulnerable. To ensure equitable access to effective eating disorder treatment, therapists should actively consider and address the barriers faced by these patients. In this paper, we share guidance based on our experience treating a socioeconomically diverse patient population, on factors to consider when extending the reach of recommended psychological treatments for eating disorders and suggest areas of future research. We emphasize the opportunities available to therapists to improve equity in eating disorders treatment by making accommodations that enhance access to existing evidence-based approaches rather than by making modifications to the treatments.
Key learning aims
(1) To identify obstacles experienced by individuals with eating disorders and low income in accessing and engaging in treatment.
(2) To learn practical strategies to reduce or eliminate barriers preventing the uptake of evidence-based psychological eating disorder interventions for individuals with low income.
(3) To appreciate the intersectionality of low income with other factors impacting equity of eating disorder treatment access.
Habits are behavioral routines that are automatic and frequent, relatively independent of any desired outcome, and have potent antecedent cues. Among individuals with anorexia nervosa (AN), behaviors that promote the starved state appear habitual, and this is the foundation of a recent neurobiological model of AN. In this proof-of-concept study, we tested the habit model of AN by examining the impact of an intervention focused on antecedent cues for eating disorder routines.
Methods
The primary intervention target was habit strength; we also measured clinical impact via eating disorder psychopathology and actual eating. Twenty-two hospitalized patients with AN were randomly assigned to 12 sessions of either Supportive Psychotherapy or a behavioral intervention aimed at cues for maladaptive behavioral routines, Regulating Emotions and Changing Habits (REaCH).
Results
Covarying for baseline, REaCH was associated with a significantly lower Self-Report Habit Index (SRHI) score and significantly lower Eating Disorder Examination-Questionnaire (EDE-Q) global score at the end-of-treatment. The end-of-treatment effect size for SRHI was d = 1.28, for EDE-Q was d = 0.81, and for caloric intake was d = 1.16.
Conclusions
REaCH changed habit strength of maladaptive routines more than an active control therapy, and targeting habit strength yielded improvement in clinically meaningful measures. These findings support a habit-based model of AN, and suggest habit strength as a mechanism-based target for intervention.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.