RESUMEN
OBJECTIVE: To evaluate the 2-year course and outcomes of full and subthreshold avoidant/restrictive food intake disorder (ARFID) in youth aged 9 to 23 years at baseline using a prospective longitudinal design to characterize the remission and persistence of ARFID, evaluate diagnostic crossover, and identify predictors of outcome. Greater severity in each ARFID profile-sensory sensitivity, fear of aversive consequences, and lack of interest-was hypothesized to predict greater likelihood of illness persistence, controlling for age, sex, body mass index percentile, ARFID treatment status, and baseline diagnosis. METHOD: Participants (N = 100; age range, 9-23 years; 49% female; 91% White) were followed over 2 years. The Pica, ARFID, and Rumination Disorder Interview was used across 3 time points (baseline, year 1, year 2) to measure the severity of each ARFID profile and evaluate illness persistence or remission, and the Eating Disorder Assessment for DSM-5 was used to evaluate diagnostic crossover. RESULTS: Across the 2-year follow-up period, half the participants persisted with their original diagnosis, and 3% of participants experienced a diagnostic shift to anorexia nervosa. Greater severity in the sensory sensitivity and lack of interest profiles was associated with higher likelihood of ARFID persistence at year 1 only; greater severity in the fear of aversive consequences profile was associated with higher likelihood of ARFID remission at year 2 only. CONCLUSION: Findings underscore the distinctiveness of ARFID from other eating disorders and emphasize its persistence over 2 years. Results also highlight the predictive validity and prognostic value of the ARFID profiles (ie, sensory sensitivity, fear of aversive consequences, lack of interest).
RESUMEN
BACKGROUND: Avoidant/restrictive food intake disorder (ARFID) and anorexia nervosa (AN) are the two primary restrictive eating disorders; however, they are driven by differing motives for inadequate dietary intake. Despite overlap in restrictive eating behaviors and subsequent malnutrition, it remains unknown if ARFID and AN also share commonalities in their cognitive profiles, with cognitive alterations being a key identifier of AN. Discounting the present value of future outcomes with increasing delay to their expected receipt represents a core cognitive process guiding human decision-making. A hallmark cognitive characteristic of individuals with AN (vs. healthy controls [HC]) is reduced discounting of future outcomes, resulting in reduced impulsivity and higher likelihood of favoring delayed gratification. Whether individuals with ARFID display a similar reduction in delay discounting as those with AN (vs. an opposing bias towards increased delay discounting or no bias) is important in informing transdiagnostic versus disorder-specific cognitive characteristics and optimizing future intervention strategies. METHOD: To address this research question, 104 participants (ARFID: n = 57, AN: n = 28, HC: n = 19) completed a computerized Delay Discounting Task. Groups were compared by their delay discounting parameter (ln)k. RESULTS: Individuals with ARFID displayed a larger delay discounting parameter than those with AN, indicating steeper delay discounting (M ± SD = -6.10 ± 2.00 vs. -7.26 ± 1.73, p = 0.026 [age-adjusted], Hedges' g = 0.59), with no difference from HC (p = 0.514, Hedges' g = -0.35). CONCLUSION: Our findings provide a first indication of distinct cognitive profiles among the two primary restrictive eating disorders. The present results, together with future research spanning additional cognitive domains and including larger and more diverse samples of individuals with ARFID (vs. AN), will contribute to identifying maintenance mechanisms that are unique to each disorder as well as contribute to the optimization and tailoring of treatment strategies across the spectrum of restrictive eating disorders.
Avoidant/restrictive food intake disorder (ARFID) and anorexia nervosa (AN) are both restrictive eating disorders. However, the reasons for restricting food intake differ between the two diagnoses. A key question in further understanding similarities and differences between ARFID and AN is to understand whether individuals with these disorders process information and make decisions in similar or distinct ways. When humans decide between two different outcomes (e.g., a smaller immediate or a larger delayed reward), outcomes decrease in their value the farther in the future we expect to receive them (delay discounting). Individuals with AN exhibit a reduced discounting of future outcomes, which makes them more likely to forego immediate gratification for later rewards. However, whether this holds true for individuals with ARFID too (or whether they show the opposite or no bias) is unknown. Our investigation is the first to compare delay discounting between individuals with ARFID, AN, and healthy controls (HC). Our results show that individuals with ARFID show more delay discounting than those with AN, with no difference from HC. Knowing how rewards are being chosen and decisions made (and knowing differences between diagnoses) will be helpful in further optimizing and tailoring treatments for restrictive eating disorders.