Psychometric properties of the eating loss of control scale among postbariatric patients.

BACKGROUND

Assessing the complexities of eating behaviors in patients who undergo bariatric surgery is challenging. The Eating Loss of Control Scale (ELOCS), a measure of loss-of-control (LOC) eating, has not yet been evaluated psychometrically among bariatric surgery patients.

OBJECTIVE

This study presents a psychometric examination of the ELOCS in postoperative bariatric surgery patients.

SETTING

Academic medical center in the United States.

METHODS

One hundred seventy-one postbariatric treatment-seeking adults (82.5% female, 52.4% white) with LOC eating completed the ELOCS and measures assessing eating psychopathology and mood. Confirmatory factor analysis (CFA) was used to test fit for a 1-factor solution. Exploratory factor analysis (EFA) examined alternative factor structures.

RESULTS

CFA revealed poor fit for a 1-factor structure (χ = 220.375, degrees of freedom = 135, P < .001, comparative fit index = .917, Tucker-Lewis index = .906, root mean square error of approximation = .067). EFA data suggested an alternative factor solution (χ = 157.76, degrees of freedom = 118, P = .009, comparative fit index = .965, Tucker-Lewis index = .955, root mean square error of approximation = .047). Factor 1 (α = .88) reflected behavioral aspects and factor 2 (α = .92) reflected cognitive/emotional aspects of LOC eating. Bivariate correlations with measures of eating and other psychopathology suggested good construct validity for factors.

CONCLUSIONS

Findings suggest possible differences in the construct validity of the ELOCS among postbariatric patients. The 1-factor solution previously supported in clinical and nonclinical groups demonstrated poor fit. EFA revealed a possible alternative 2-factor solution that aligns with emerging literature, suggesting that LOC eating presents differently in postbariatric patients. Researchers interested in LOC eating among bariatric patients should consider use of the ELOCS and testing the proposed alternative factor structure.