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Πέμπτη 7 Δεκεμβρίου 2017

Initial validation of the Nine Item Avoidant/Restrictive Food Intake disorder screen (NIAS): A measure of three restrictive eating patterns

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Publication date: 1 April 2018
Source:Appetite, Volume 123
Author(s): Hana F. Zickgraf, Jordan M. Ellis
Avoidant/Restrictive Food Intake Disorder (ARFID) is an eating or feeding disorder characterized by inadequate nutritional or caloric intake leading to weight loss, nutritional deficiency, supplement dependence, and/or significant psychosocial impairment. DSM-5 lists three different eating patterns that can lead to symptoms of ARFID: avoidance of foods due to their sensory properties (e.g., picky eating), poor appetite or limited interest in eating, or fear of negative consequences from eating. Research on the prevalence and psychopathology of ARFID is limited by the lack of validated instruments to measure these eating behaviors. The present study describes the development and validation of the nine-item ARFID screen (NIAS), a brief multidimensional instrument to measure ARFID-associated eating behaviors. Participants were 455 adults recruited on Amazon's Mechanical Turk, 505 adults recruited from a nationally-representative subject pool, and 311 undergraduates participating in research for course credit. Exploratory and confirmatory factor analyses provided evidence for three factors. The NIAS subscales demonstrated high internal consistency, test-retest reliability, invariant item loadings between two samples, and convergent/discriminant validity with other measures of picky eating, appetite, fear of negative consequences, and psychopathology. The scales were also correlated with measures of ARFID-like symptoms (e.g., low BMI, low fruit/vegetable variety and intake, and eating-related psychosocial interference/distress), although the picky eating, appetite, and fear scales had distinct independent relationships with these constructs. The NIAS is a brief, reliable instrument that may be used to further investigate ARFID-related eating behaviors.



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