Summary According to learning-based models of behavior, food cue reactivity and craving are conditioned responses that lead to increased eating and subsequent weight gain. However, evidence supporting this relationship has been mixed. We conducted a quantitative meta-analysis to assess the predictive effects of food cue reactivity and craving on eating and weight-related outcomes. Across 69 reported statistics from 45 published reports representing 3,292 participants, we found an overall medium effect of food cue reactivity and craving on outcomes (r = 0.33, p <0.001; approximately 11% of variance), suggesting that cue exposure and the experience of craving significantly influence and contribute to eating behavior and weight gain. Follow-up tests revealed a medium effect size for the effect of both tonic and cue-induced craving on eating behavior (r = 0.33). We did not find significant differences in effect sizes based on body mass index, age, or dietary restraint. However, we did find that visual food cues (e.g. pictures and videos) were associated with a similar effect size to real food exposure and a stronger effect size than olfactory cues. Overall, the present findings suggest that food cue reactivity, cue-induced craving and tonic craving systematically and prospectively predict food-related outcomes. These results have theoretical, methodological, public health and clinical implications.

Introduction The contribution of an addictive process to elevated body mass index (BMI) and disordered eating is an area of growing interest. Yet, little is known about how “food addiction” may be related to disordered eating and obesity. The ability of addictive-like eating to account for eating pathology not captured by traditional eating disorders is unknown. No prior research has examined the association of “food addiction” with bulimia nervosa (BN). Finally, little is understood about the association of “food addiction” with patterns of dieting and weight gain. The current study was conducted to address these gaps in the literature. Material and Methods Participants (N = 815) were recruited from online advertisements nationwide and completed measures related to “food addiction”, BMI, weight history, and disordered eating. Results Addictive-like eating was associated with elevated current and lifetime highest BMI, weight cycling, and eating pathology. The prevalence of “food addiction” was higher in participants with BN than in those with binge eating disorder (BED). “Food addiction” continued to be related to clinically relevant variables, especially elevated BMI, even when participants did not meet criteria for BED or BN. The co-occurrence of “food addiction” with eating disorders appears to be associated with a more severe variant of eating pathology. Discussion An addictive-type response to highly palatable food may be contributing to eating-related problems, including obesity and eating disorders. BN relative to BED appears to be more strongly associated with “food addiction.” Additionally, the concept of “food addiction” appears to capture clinically relevant information in participants who do not meet criteria for either BN or BED. Further examination of “food addiction” may be important in understanding the mechanisms underlying certain types of problematic eating behavior.

To be successful at self-regulation, individuals must be able to resist impulses and desires. The strength model of self-regulation suggests that when self-regulatory capacity is depleted, self-control deficits result from a failure to engage top-down control mechanisms. Using functional neuroimaging, we examined changes in brain activity in response to viewing desirable foods among thirty-one chronic dieters, half of whom underwent self-regulatory depletion using a sequential task paradigm. Compared to non-depleted dieters, depleted dieters exhibited greater food cue-related activity in the orbitofrontal cortex, a brain area associated with coding the reward value and liking aspects of desirable foods and also showed decreased functional connectivity between this area and the inferior frontal gyrus, a region commonly implicated in self-control. These findings suggest that self-regulatory depletion provokes self-control failure by reducing connectivity between brain regions involved in cognitive control and those representing rewards thereby decreasing the capacity to resist temptations.

Accountable care organizations (ACOs) are a promising payment model aimed at reducing costs while also improving the quality of care. However, there is a risk that vulnerable populations may not be fully incorporated into this new model. We define two distinct vulnerable populations, clinically at-risk and socially disadvantaged, and we discuss how ACOs may benefit each group. We provide a framework to use in considering challenges for both vulnerable patients and health systems on the path to accountable care. We identify policies that can help overcome these obstacles: strategies that support ACO formation in diverse settings and that monitor, measure, and reward the performance of providers that reach all patients, including vulnerable populations.