Italian validation and exploratory measurement invariance of the food addiction symptom inventory (FASI)

Abstract Background The Food Addiction Symptom Inventory (FASI) is a clinician-administered semi-structured interview developed to assess addiction-like eating behaviors related to ultra-processed food consumption, but a validated Italian version is unavailable. This study aimed to validate the Italian version of the FASI and examine its psychometric properties and clinical correlates in a sample of patients with eating disorders (EDs). Methods One hundred and eighteen patients with anorexia nervosa-restrictive subtype and binge-eating spectrum disorder were recruited. Participants completed the FASI interview and questionnaires on eating and general disorder psychopathology (YFAS 2.0, EDE-Q, EBA-O, BES, BDI-II). Confirmatory factor analysis (CFA) tested the dimensional structure of the FASI and the measurement of invariance between diagnostic groups. Reliability and convergent validity were examined. Results CFA supported the one-factor structure of the FASI and indicated a good model fit (CFI=0.958, TLI=0.947, RMSEA=0.064 and SRMR=0.076) and internal consistency (categorical ω =0.84). Exploratory measurement invariance analyses provided preliminary support for configural and partial metric invariance across restrictive- and binge-spectrum ED groups. Correlations between total FASI symptom criteria and YFAS 2.0 symptom scores supported convergent validity. Moderate-to-strong associations emerged in the overall sample (r=0.581), with somewhat lower convergence observed in the AN group (r=0.408) than the binge-spectrum group (r=0.505). Conclusions The Italian version of the FASI demonstrates satisfactory psychometric properties, with exploratory analyses providing preliminary support for configural and partial metric invariance across ED diagnostic groups. Findings in the restrictive-spectrum group highlighted potential challenges in distinguishing addiction-like intake from restraint-driven subjective overeating, warranting particular clinical attention. Future studies with larger and more diverse samples should further evaluate measurement invariance, inter-rater and test–retest reliability, and predictive validity for clinical outcomes. Level of Evidence III: Evidence obtained from well-designed cohort or case–control analytic studies.

Authors

Institutions

Publication Details

Journal
Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity
Published
2026-10-16
DOI
https://doi.org/10.1007/s40519-026-01917-6
Primary Topic
Eating Disorders and Behaviors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Italian validation and exploratory measurement invariance of the food addiction symptom inventory (FASI)

Renato de Filippis, Cristina Segura‐Garcìa, Matteo Aloi, Marianna Rania et al.
Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity
Eating Disorders and Behaviors
article

Italian validation and exploratory measurement invariance of the food addiction symptom inventory (FASI)

Renato de Filippis, Cristina Segura‐Garcìa, Matteo Aloi, Marianna Rania, Erica M. LaFata, Daria Quirino, Elvira Anna Carbone, Ashley Nicole Gearhardt, Ettore D’Onofrio, Lavinia Rotella, Serena Maria Garofalo, Giorgia Francesca Vizza
article en

Abstract

Abstract Background The Food Addiction Symptom Inventory (FASI) is a clinician-administered semi-structured interview developed to assess addiction-like eating behaviors related to ultra-processed food consumption, but a validated Italian version is unavailable. This study aimed to validate the Italian version of the FASI and examine its psychometric properties and clinical correlates in a sample of patients with eating disorders (EDs). Methods One hundred and eighteen patients with anorexia nervosa-restrictive subtype and binge-eating spectrum disorder were recruited. Participants completed the FASI interview and questionnaires on eating and general disorder psychopathology (YFAS 2.0, EDE-Q, EBA-O, BES, BDI-II). Confirmatory factor analysis (CFA) tested the dimensional structure of the FASI and the measurement of invariance between diagnostic groups. Reliability and convergent validity were examined. Results CFA supported the one-factor structure of the FASI and indicated a good model fit (CFI=0.958, TLI=0.947, RMSEA=0.064 and SRMR=0.076) and internal consistency (categorical ω =0.84). Exploratory measurement invariance analyses provided preliminary support for configural and partial metric invariance across restrictive- and binge-spectrum ED groups. Correlations between total FASI symptom criteria and YFAS 2.0 symptom scores supported convergent validity. Moderate-to-strong associations emerged in the overall sample (r=0.581), with somewhat lower convergence observed in the AN group (r=0.408) than the binge-spectrum group (r=0.505). Conclusions The Italian version of the FASI demonstrates satisfactory psychometric properties, with exploratory analyses providing preliminary support for configural and partial metric invariance across ED diagnostic groups. Findings in the restrictive-spectrum group highlighted potential challenges in distinguishing addiction-like intake from restraint-driven subjective overeating, warranting particular clinical attention. Future studies with larger and more diverse samples should further evaluate measurement invariance, inter-rater and test–retest reliability, and predictive validity for clinical outcomes. Level of Evidence III: Evidence obtained from well-designed cohort or case–control analytic studies.

Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity
University of Messina (IT), University of Michigan (US), Magna Graecia University (IT), Dulbecco Telethon Institute (IT), Oregon Urology Institute (US)
Good health and well-being
Openalex Percentile: Top 9%
Eating Disorders and Behaviors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.