Literature DB >> 34496463

A Moving Target: How We Define Avoidant/Restrictive Food Intake Disorder Can Double Its Prevalence.

Stephanie G Harshman1,2,3,4, Jenny Jo1,2, Megan Kuhnle1,2, Kristine Hauser1,2, Helen Burton Murray2,3, Kendra R Becker2,5, Madhusmita Misra1,3,6, Kamryn T Eddy2,5, Nadia Micali7,8,9, Elizabeth A Lawson1,3,10, Jennifer J Thomas2,5,10.   

Abstract

Objective: The DSM-5 criteria for avoidant/restrictive food intake disorder (ARFID) include ambiguities. Diagnostic criteria that allow for clinical judgment are essential for clinical practice. However, ambiguities can have major implications for treatment access and comparability and generalizability of research studies. The purpose of this study was to determine the degree to which distinct operationalizations of the diagnostic criteria for ARFID contribute to differences in the frequency of individuals who are eligible for the ARFID diagnosis.
Methods: Because criteria B, C, and D are rule-outs, we focused on criterion A, identified 19 potential operational definitions, and determined the extent to which these different methods impacted the proportion of individuals who met criteria for ARFID in a sample of children, adolescents, and young adults (n = 80; September 2016-February 2020) enrolled in an avoidant/restrictive eating study.
Results: Within each criterion, the proportion of individuals meeting diagnostic criteria differed significantly across the methodologies (all P values < .008). Using the strictest definition of each criterion, 50.0% (n = 40) of participants met criteria for ARFID. In contrast, under the most lenient definition of each criterion, the number nearly doubled, resulting in 97.5% (n = 78) meeting ARFID criteria. Conclusions: Comparison of diagnostic definitions for ARFID among children, adolescents, and young adults confirmed a broad range of statistically distinct proportions within a single sample. Our findings support the need for additional contextual support and consensus among disciplines on operationalization in both research and clinical settings. © Copyright 2021 Physicians Postgraduate Press, Inc.

Entities:  

Mesh:

Year:  2021        PMID: 34496463      PMCID: PMC8493963          DOI: 10.4088/JCP.20m13831

Source DB:  PubMed          Journal:  J Clin Psychiatry        ISSN: 0160-6689            Impact factor:   4.384


  42 in total

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Authors:  R Goodman
Journal:  J Child Psychol Psychiatry       Date:  1997-07       Impact factor: 8.982

2.  PedsQL 4.0: reliability and validity of the Pediatric Quality of Life Inventory version 4.0 generic core scales in healthy and patient populations.

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Journal:  Med Care       Date:  2001-08       Impact factor: 2.983

3.  Characteristics of outpatients diagnosed with the selective/neophobic presentation of avoidant/restrictive food intake disorder.

Authors:  Hana F Zickgraf; Helen B Murray; Hilary E Kratz; Martin E Franklin
Journal:  Int J Eat Disord       Date:  2019-01-12       Impact factor: 4.861

4.  Radcliffe ARFID Workgroup: Toward operationalization of research diagnostic criteria and directions for the field.

Authors:  Kamryn T Eddy; Stephanie G Harshman; Kendra R Becker; Elana Bern; Rachel Bryant-Waugh; Anja Hilbert; Debra K Katzman; Elizabeth A Lawson; Laurie D Manzo; Jessie Menzel; Nadia Micali; Rollyn Ornstein; Sarah Sally; Sharon P Serinsky; William Sharp; Kathryn Stubbs; B Timothy Walsh; Hana Zickgraf; Nancy Zucker; Jennifer J Thomas
Journal:  Int J Eat Disord       Date:  2019-02-13       Impact factor: 4.861

5.  2000 CDC Growth Charts for the United States: methods and development.

Authors:  Robert J Kuczmarski; Cynthia L Ogden; Shumei S Guo; Laurence M Grummer-Strawn; Katherine M Flegal; Zuguo Mei; Rong Wei; Lester R Curtin; Alex F Roche; Clifford L Johnson
Journal:  Vital Health Stat 11       Date:  2002-05

6.  The validity of the eating disorder examination and its subscales.

Authors:  Z Cooper; P J Cooper; C G Fairburn
Journal:  Br J Psychiatry       Date:  1989-06       Impact factor: 9.319

7.  Eighty-five per cent of what? Discrepancies in the weight cut-off for anorexia nervosa substantially affect the prevalence of underweight.

Authors:  J J Thomas; C A Roberto; K D Brownell
Journal:  Psychol Med       Date:  2008-09-08       Impact factor: 7.723

8.  Prevalence and Characteristics of Avoidant/Restrictive Food Intake Disorder in Adult Neurogastroenterology Patients.

Authors:  Helen Burton Murray; Abbey P Bailey; Ani C Keshishian; Casey J Silvernale; Kyle Staller; Kamryn T Eddy; Jennifer J Thomas; Braden Kuo
Journal:  Clin Gastroenterol Hepatol       Date:  2019-10-24       Impact factor: 11.382

9.  Trends in mental health clinical research: Characterizing the ClinicalTrials.gov registry from 2007-2018.

Authors:  Joshua R Wortzel; Brandon E Turner; Brannon T Weeks; Christopher Fragassi; Virginia Ramos; Thanh Truong; Desiree Li; Omar Sahak; Hochang Benjamin Lee
Journal:  PLoS One       Date:  2020-06-05       Impact factor: 3.240

10.  A qualitative study of perceived social barriers to care for eating disorders: perspectives from ethnically diverse health care consumers.

Authors:  Anne E Becker; Adrienne Hadley Arrindell; Alexandra Perloe; Kristen Fay; Ruth H Striegel-Moore
Journal:  Int J Eat Disord       Date:  2010-11-01       Impact factor: 4.861

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