Evidence Hub

Autistic characteristics in eating disorders: Treatment adaptations and impact on clinical outcomes

Li Z, Halls D, Byford S, Tchanturia K

European eating disorders review : the journal of the Eating Disorders Association, 2022

Abstract

OBJECTIVE: Autistic people with eating disorders (EDs) may have special needs that are not met in standard ED treatment, raising the need for treatment adaptations to accommodate co-existing autism spectrum condition (ASC). Little is currently known about the nature of existing treatment options or adaptations for this population. We conducted a pre-registered systematic review to: (1) identify research articles describing existing interventions for patients with ED and comorbid ASC, and to critically review evidence of their clinical effectiveness and cost-effectiveness (Review 1); (2) review the impact of ASC comorbidity on ED clinical outcomes (Review 2).

METHOD: Peer-reviewed studies published until the end of December 2020 were identified through a systematic search of the electronic databases: Medline, Embase, PsycINFO, Web of Science, CINAHL, Scopus and Cochrane Library.

RESULTS: Only one clinical pathway of treatment adaptations (the 'PEACE' pathway) was identified in Review 1 with early evidence of cost-savings and favourable treatment outcomes. ASC characteristics were shown in Review 2 to have no direct impact on physical outcomes or ED symptoms, but could be associated with higher rates of comorbidities and greater use of intensive ED treatment. Additionally, patients with ASC characteristics may benefit more from individual sessions, rather than group sessions.

CONCLUSIONS: Any new treatments or treatment adaptations may not directly impact on ED symptoms, but…

How strong is the evidence?

Evidence Hub reads this as a systematic review, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free