Helen Burton Murray1,2,3, Melissa J Dreier2, Hana F Zickgraf4, Kendra R Becker2,3, Lauren Breithaupt2,3, Kamryn T Eddy2,3, Jennifer J Thomas2,3. 1. Center for Neurointestinal Health, Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts, USA. 2. Eating Disorders Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA. 3. Harvard Medical School, Boston, Massachusetts, USA. 4. Department of Psychology, University of South Alabama, Mobile, Alabama, USA.
Abstract
OBJECTIVE: The Nine Item Avoidant/Restrictive Food Intake Disorder (ARFID) Screen (NIAS) has three subscales aligned with ARFID presentations but clinically validated cutoff scores have not been identified. We aimed to examine NIAS subscale (picky eating, appetite, fear) validity to: (1) capture clinically-diagnosed ARFID presentations; (2) differentiate ARFID from other eating disorders (other-ED); and (3) capture ARFID symptoms among individuals with ARFID, individuals with other-ED, and nonclinical participants. METHOD: Participants included outpatients (ages 10-76 years; 75% female) diagnosed with ARFID (n = 49) or other-ED (n = 77), and nonclinical participants (ages 22-68 years; 38% female, n = 40). We evaluated criterion-related concurrent validity by conducting receiver operating curve (ROC) analyses to identify potential subscale cutoffs and by testing if cutoffs could capture ARFID with and without use of the Eating Disorder Examination-Questionnaire (EDE-Q). RESULTS: Each NIAS subscale had high AUC for capturing those who fit versus do not fit each ARFID presentation, resulting in proposed cutoffs of ≥10 (sensitivity = .97, specificity = .63), ≥9 (sensitivity = .86, specificity = .70), and ≥ 10 (sensitivity = .68, specificity = .89) on the NIAS-picky eating, NIAS-appetite, and NIAS-fear subscales, respectively. ARFID versus other-ED had high AUC on the NIAS-picky eating (≥10 proposed cutoff), but not NIAS-appetite or NIAS-fear subscales. NIAS subscale cutoffs had a high association with ARFID diagnosis, but only correctly classified other-ED in combination with EDE-Q Global <2.3. DISCUSSION: To screen for ARFID, we recommend using a screening tool for other-ED (e.g., EDE-Q) in combination with a positive score on any NIAS subscale (i.e., ≥10, ≥9, and/or ≥10 on the NIAS-picky eating, NIAS-appetite, and NIAS-fear subscales, respectively).
OBJECTIVE: The Nine Item Avoidant/Restrictive Food Intake Disorder (ARFID) Screen (NIAS) has three subscales aligned with ARFID presentations but clinically validated cutoff scores have not been identified. We aimed to examine NIAS subscale (picky eating, appetite, fear) validity to: (1) capture clinically-diagnosed ARFID presentations; (2) differentiate ARFID from other eating disorders (other-ED); and (3) capture ARFID symptoms among individuals with ARFID, individuals with other-ED, and nonclinical participants. METHOD: Participants included outpatients (ages 10-76 years; 75% female) diagnosed with ARFID (n = 49) or other-ED (n = 77), and nonclinical participants (ages 22-68 years; 38% female, n = 40). We evaluated criterion-related concurrent validity by conducting receiver operating curve (ROC) analyses to identify potential subscale cutoffs and by testing if cutoffs could capture ARFID with and without use of the Eating Disorder Examination-Questionnaire (EDE-Q). RESULTS: Each NIAS subscale had high AUC for capturing those who fit versus do not fit each ARFID presentation, resulting in proposed cutoffs of ≥10 (sensitivity = .97, specificity = .63), ≥9 (sensitivity = .86, specificity = .70), and ≥ 10 (sensitivity = .68, specificity = .89) on the NIAS-picky eating, NIAS-appetite, and NIAS-fear subscales, respectively. ARFID versus other-ED had high AUC on the NIAS-picky eating (≥10 proposed cutoff), but not NIAS-appetite or NIAS-fear subscales. NIAS subscale cutoffs had a high association with ARFID diagnosis, but only correctly classified other-ED in combination with EDE-Q Global <2.3. DISCUSSION: To screen for ARFID, we recommend using a screening tool for other-ED (e.g., EDE-Q) in combination with a positive score on any NIAS subscale (i.e., ≥10, ≥9, and/or ≥10 on the NIAS-picky eating, NIAS-appetite, and NIAS-fear subscales, respectively).
Authors: Kendra R Becker; Ani C Keshishian; Rachel E Liebman; Kathryn A Coniglio; Shirley B Wang; Debra L Franko; Kamryn T Eddy; Jennifer J Thomas Journal: Int J Eat Disord Date: 2018-12-22 Impact factor: 4.861
Authors: Martin M Fisher; David S Rosen; Rollyn M Ornstein; Kathleen A Mammel; Debra K Katzman; Ellen S Rome; S Todd Callahan; Joan Malizio; Sarah Kearney; B Timothy Walsh Journal: J Adolesc Health Date: 2014-02-05 Impact factor: 5.012
Authors: Kelly A Romano; Kristin E Heron; Kathryn E Smith; Ross D Crosby; Scott G Engel; Stephen A Wonderlich; Raina D Pang; Tyler B Mason Journal: J Psychosom Res Date: 2020-05-27 Impact factor: 3.006
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
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
Authors: Helen Burton Murray; Kendra R Becker; Lauren Breithaupt; Melissa J Dreier; Kamryn T Eddy; Jennifer J Thomas Journal: Int J Eat Disord Date: 2022-07-02 Impact factor: 5.791