2023
DOI: 10.1002/erv.3017
|View full text |Cite
|
Sign up to set email alerts
|

Validation of the youth‐nine item avoidant/restrictive food intake disorder screen

Marley G. Billman Miller,
Hana F. Zickgraf,
Helen Burton Murray
et al.

Abstract: ObjectiveThis study assessed the factorial, divergent, and criterion‐related validity of the Youth‐Nine Item Avoidant/Restrictive Food Intake Disorder (ARFID) Screen (Y‐NIAS) in a paediatric clinical sample at initial evaluation for an eating disorder (ED).MethodParticipants included 310 patients (82.9% female, 77.4% White, Age M = 14.65) from a tertiary ED clinic. Confirmatory factor analysis (CFA) evaluated the three‐factor of the Y‐NIAS. One‐way analysis of variance compared Y‐NIAS scores across diagnoses. … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4
1

Relationship

1
4

Authors

Journals

citations
Cited by 6 publications
(5 citation statements)
references
References 41 publications
(52 reference statements)
1
4
0
Order By: Relevance
“…The results of this study replicate previous findings suggesting that the NIAS alone is insufficient for differentiating ARFID from other eating disorder presentations (Billman Miller et al, 2024; Burton Murray et al, 2021). Our findings quantify this problem and contribute new insight into the relative elevation of individual NIAS subscale scores among individuals with different types of eating disorders, highlighting that individuals with AN are more likely than individuals with other current eating disorders to have elevated scores on the NIAS, especially the Appetite subscale.…”
Section: Discussionsupporting
confidence: 88%
See 2 more Smart Citations
“…The results of this study replicate previous findings suggesting that the NIAS alone is insufficient for differentiating ARFID from other eating disorder presentations (Billman Miller et al, 2024; Burton Murray et al, 2021). Our findings quantify this problem and contribute new insight into the relative elevation of individual NIAS subscale scores among individuals with different types of eating disorders, highlighting that individuals with AN are more likely than individuals with other current eating disorders to have elevated scores on the NIAS, especially the Appetite subscale.…”
Section: Discussionsupporting
confidence: 88%
“…The NIAS has been widely used in a number of settings with diverse clinical and non-clinical populations (Zickgraf et al, 2023) and norms for the general population have been established (Zickgraf & Ellis, 2018). A large number of translations and adaptations of the NIAS have been made (e.g., Billman Miller et al, 2024; Fekih-Romdhane et al, 2023; He et al, 2021; Medina-Tepal et al, 2023; Van Ouytsel et al, 2024; Ziolkowska et al, 2022), including development of a parent-report version (Ziolkowska et al, 2022). The NIAS has also been used to examine the potential comorbidity of ARFID in individuals with gastrointestinal disorders, including gastroparesis, functional dyspepsia, achalasia, celiac disease, eosinophilic esophagitis, and inflammatory bowel disease (Burton Murray et al, 2020; Fink et al, 2022; Kaul et al, 2024; Robelin et al, 2021; Yelencich et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The NIAS uses three subscales assessing the three motivations behind ARFID restriction: “Picky Eating” (sensory sensitivity presentation), “Appetite” (lack of interest presentation), and “Fear” (fear of aversive consequences) (rated 0‐Strongly Disagree to 5‐Strongly Agree). Cutoffs for a positive NIAS ARFID screen were validated in a study that included participants ≥10 years of age (in combination with a negative screen on the Eating Disorder Examination‐Questionnaire 16,18 ). We also employed the ARFID‐checklist which has been used in combination with the NIAS to align with DSM‐5 criteria assessing for the presence of psychosocial impairment and/or medical consequences 19 .…”
Section: Methodsmentioning
confidence: 99%
“…This underscores the importance of screening for PPE behaviors associated with an increased risk of ARFID, particularly given the potential health consequences. Although no singular validated screening tool exists for ARFID specifically, the following tools may help to identify behaviors that confer risk for this diagnosis: Eating Disturbances in Youth-Questionnaire (EDY-Q), a self-report tool consisting of four subcategories (food avoidance, selective eating, functional dysphagia, and weight problems); Pica, ARFID, and Rumination Disorder Interview (PARDI), which contains parent and child reports and is aligned with DSM-5 criteria for ARFID; and the Youth-Nine Item ARFID Screen 19,21,22…”
Section: Arfidmentioning
confidence: 99%