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.
Original language | English |
---|---|
Article number | 20M13831 |
Journal | Journal of Clinical Psychiatry |
Volume | 82 |
Issue number | 5 |
DOIs | |
State | Published - Sep 2021 |
Externally published | Yes |
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In: Journal of Clinical Psychiatry, Vol. 82, No. 5, 20M13831, 09.2021.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - A Moving Target
T2 - How We Define Avoidant/Restrictive Food Intake Disorder Can Double Its Prevalence
AU - Harshman, Stephanie G.
AU - Jo, Jenny
AU - Kuhnle, Megan
AU - Hauser, Kristine
AU - Murray, Helen Burton
AU - Becker, Kendra R.
AU - Misra, Madhusmita
AU - Eddy, Kamryn T.
AU - Micali, Nadia
AU - Lawson, Elizabeth A.
AU - Thomas, Jennifer J.
N1 - Funding Information: This research was funded by the National Institutes of Health grants R01 MH108595, R01 MH103402, F32 MH118824-01, P30 DK040561, and K24 MH120568 and Harvard Catalyst grant M01-RR-01066. Funding Information: Submitted: December 8, 2020; accepted February 25, 2021. Published online: September 7, 2021. Potential conflicts of interest: Drs Thomas and Eddy receive royalties from Cambridge University Press for the sale of their book Cognitive-Behavioral Therapy for Avoidant/Restrictive Food Intake Disorder: Children, Adolescents, and Adults. Drs Thomas, Becker, and Eddy will receive royalties for their forthcoming self-help book for adults with ARFID. Dr Lawson is on the scientific advisory board and has a financial interest in OXT Therapeutics, a company developing an intranasal oxytocin and long-acting analogs of oxytocin to treat obesity and metabolic disease, and her interests were reviewed and are managed by Massachusetts General Hospital and Partners HealthCare in accordance with their conflict of interest policies. All other authors have no conflicts of interest. Funding/support: This research was funded by the National Institutes of MH118824-01, P30 DK040561, and K24 MH120568 the weight cut-off for anorexia nervosa GastroenterolNutr.2010;51(1):110–122.PubMedCrossRef and Harvard Catalyst grant M01-RR-01066. substantially affect the prevalence of Singhal S, Baker SS, Bojczuk GA, et al. Tube Roleofthesponsor:These funding sources underweight. Psychol Med. 2009;39(5):833–843.PubMed CrossRef feeding in children. Pediatr Rev. had no role in the design ofthis study and did 14. Zickgraf HF, Ellis JM. Initial validation of the 2017;38(1):23–34.PubMed CrossRef not have any role during its execution, analyses, Nine Item Avoidant/Restrictive Food Intake Sharp WG, Jaquess DL, Morton JF, et al. interpretation ofthe data, or decision to submit disorder screen (NIAS): a measure of three Pediatric feeding disorders: a quantitative results. restrictive eating patterns. Appetite. synthesis of treatment outcomes. Clin Child 2018;123:32–42.PubMedCrossRef Fam Psychol Rev.2010;13(4):348–365.PubMedCrossRef Disclaimer:We confirm that the content is solely 15. Bryant-Waugh R, Micali N, Cooke L, et al. Dunitz-Scheer M, Marinschek S, Beckenbach H, the responsibility ofthe authors and does not Development of the Pica, ARFID, and et al. Tube dependence: a reactive eating necessarily represent the official views ofthe Rumination Disorder Interview, a multi-behavior disorder. Child Obes Nutr. or the National Institutes of Health or Harvard informant, semi-structured interview of feeding 2011;3(4):209–215. CrossRef Catalyst,sponsoringagenciesthroughwhich disorders across the lifespan: a pilot study for Dovey TM, Wilken M, Martin CI, et al. fundingwasobtained. ages 10–22. Int J Eat Disord.2019;52(4):378–387.PubMedCrossRef Definitions and clinical guidance on the enteral Additionalinformation:Data are available 16. Bailey KV, Ferro-Luzzi A. Use of body mass dependence component of the avoidant/ upon request. Proposals should be directed to index of adults in assessing individual and restrictive food intake disorder diagnostic jjthomas@mgh.harvard.edu. To gain access, data community nutritional status. Bull World Health criteria in children. JPEN J Parenter Enteral Nutr. requestors will need to sign a data use agreement Organ. 1995;73(5):673–680.PubMed 2018;42(3):499–507.PubMed CrossRef uponproposalapproval. 17. NHLBI Obesity Education Initiative Expert Panel Bohn K, Fairburn C. Clinical Impairment on the Identification, Evaluation, and Treatment Assessment Questionnaire (CIA 3.0). In: of Overweight and Obesity in Adults. The Fairburn C, ed. Cognitive Behavior Therapy and Practical Guide for Identification, Evaluation, and Eating Disorders. Guilford Press; 2008. Treatment of Overweight and Obesity in Adults. Bohn K, Doll HA, Cooper Z, et al. The NIH Publication Number 00-4084. US measurement of impairment due to eating Department of Health and Human Services; disorder psychopathology. Behav Res Ther. 2000. 2008;46(10):1105–1110.PubMed CrossRef 18. WHO Multicentre Growth Reference Study Goodman R. The Strengths and Difficulties Group. WHO Child Growth Standards—Length/ Questionnaire: a research note. J Child Psychol Height-for-Age, Weight-for-Age, Weight-for-Psychiatry. 1997;38(5):581–586.PubMed CrossRef Length, Weight-for-Height and Body Mass Varni JW, Seid M, Kurtin PS. PedsQL 4.0: Index-for-Age: Methods And Development. World reliability and validity of the Pediatric Quality Health Organization; 2006. of Life Inventory version 4.0 generic core scales 19. Le Grange D, Doyle PM, Swanson SA, et al. in healthy and patient populations. Med Care. Calculation of expected body weight in 2001;39(8):800–812.PubMed CrossRef adolescents with eating disorders. Pediatrics. Palermo TM, Long AC, Lewandowski AS, et al. 2012;129(2):e438–e446.PubMed CrossRef Evidence-based assessment of health-related 20. Sherar LB, Mirwald RL, Baxter-Jones ADG, et al. quality of life and functional impairment in Prediction of adult height using maturity-based pediatric psychology. J Pediatr Psychol. cumulative height velocity curves. J Pediatr. 2008;33(9):983–996, discussion 997–998.PubMed CrossRef 2005;147(4):508–514.PubMed CrossRef Abidin R. Parenting Stress Index. PAR; 2012. 21. White JV, Guenter P, Jensen G, et al; Academy Zucker N, Copeland W, Franz L, et al. Malnutrition Work Group; ASPEN Malnutrition Psychological and psychosocial impairment in Task Force; ASPEN Board of Directors. preschoolers with selective eating. Pediatrics. Consensus statement: Academy of Nutrition 2015;136(3):e582–e590.PubMed CrossRef and Dietetics and American Society for Egger HL, Angold A. The Preschool Age Parenteral and Enteral Nutrition: characteristics Psychiatric Assessment (PAPA): a structured recommended for the identification and parent interview for diagnosing psychiatric documentation of adult malnutrition disorders in preschool children. In: DelCarmen-(undernutrition). JPEN J Parenter Enteral Nutr. Wiggins R, Carter A, eds. Handbook of Infant, 2012;36(3):275–283.PubMed CrossRef Toddler, and Preschool Mental Health 22. Becker P, Carney LN, Corkins MR, et al; Academy Assessment. New York, NY: Oxford University of Nutrition and Dietetics; American Society for Press; 2004:223–243. Parenteral and Enteral Nutrition. Consensus Sysko R, Glasofer DR, Hildebrandt T, et al. The statement of the Academy of Nutrition and Eating Disorder Assessment for DSM-5 (EDA-5): Dietetics/American Society for Parenteral and development and validation of a structured Enteral Nutrition: indicators recommended for interview for feeding and eating disorders. Int J theidentificationanddocumentationof Eat Disord.2015;48(5):452–463.PubMedCrossRef pediatric malnutrition (undernutrition). Nutr Kaufman J, Birmaher B, Brent D, et al. Schedule ClinPract. 2015;30(1):147–161.PubMedCrossRef forAffectiveDisordersandSchizophreniafor 23. Institute of Medicine. Dietary Reference Intakes: School-Age Children-Present and Lifetime The Essential Guide to Nutrient Requirements. Version (K-SADS-PL): initial reliability and Washington, DC: The National Academies Press; validity data. J Am Acad Child Adolesc Psychiatry. 2006. 1997;36(7):980–988.PubMed CrossRef 24. Sharp WG, Postorino V, McCracken CE, et al. Cooper Z, Cooper PJ, Fairburn CG. 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Publishing House—USA; 2014. 2002;(246):1–190.PubMed 27. Braegger C, Decsi T, Dias JA, et al; ESPGHAN Scientific Report of the 2015 Dietary Guidelines Committee on Nutrition. Practical approach to Advisory Committee. US Department of Health paediatric enteral nutrition: a comment by the and Human Services. 2015. https://health.gov/ Publisher Copyright: Copyright © 2021 Physicians Postgraduate Press, Inc.
PY - 2021/9
Y1 - 2021/9
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85116943967&partnerID=8YFLogxK
U2 - 10.4088/JCP.20M13831
DO - 10.4088/JCP.20M13831
M3 - Article
AN - SCOPUS:85116943967
SN - 0160-6689
VL - 82
JO - Journal of Clinical Psychiatry
JF - Journal of Clinical Psychiatry
IS - 5
M1 - 20M13831
ER -