Reinforcement sensitivity and restrained eating: the moderating role of executive control

Reward sensitivity, eating behavior, and obesity-related outcomes: A systematic review

INTRODUCTION

Previous research has identified reward sensitivity as an important factor that may contribute to the engagement in eating behavior (e.g., binge eating, emotional eating, etc.) and increase obesity risk. In the current study, we conducted a systematic review of the literature to determine the relationships between reward sensitivity, eating behavior, and obesity-related outcomes. The study focused on two commonly used measures of reward sensitivity in the literature: the Sensitivity to Punishment and Sensitivity to Reward Questionnaire (SPSRQ) and the Behavioral Inhibition Scale/Behavioral Activation Scale (BIS/BAS Scale).

METHOD

We conducted a systematic search to identify studies that analyzed reward sensitivity as a predictor of eating behavior or obesity-related outcomes, and measured reward sensitivity using the SPSRQ or BIS/BAS Scale. The search yielded N=19 total publications included in the review.

RESULTS

Findings indicated that reward sensitivity, primarily measured by summary scores on the SPSRQ or BIS/BAS Scale, were positively associated with a variety of eating behaviors and obesity-related outcomes with small to moderate effect sizes. Findings were most consistent across studies that examined the association between reward sensitivity and eating behavior outcomes (e.g., binge eating, emotional eating) (r values= .08 to .41; p values < .001 to p < .05) and food consumption outcomes (e.g., palatable food intake) (r values = .21 to .40; p < .001 to p values < .05). Findings were less consistent for food craving and BMI outcomes, and revealed these relationships may depend on individual-level factors and/or environment-related factors, (e.g., food cues). A quality evaluation using the Critical Appraisal Tool for Cross-Sectional Studies (AXIS tool) indicated that most studies were rated as moderate to strong quality (84%).

CONCLUSION

Findings indicate that elevated reward sensitivity may be a risk factor for engagement in eating behaviors that may increase obesity risk.

Parsing the link between reinforcement sensitivity theory and eating behavior: A systematic review

The Reinforcement Sensitivity Theory (RST) is a widely studied psychobiological model of personality. RST factors seem to influence eating behavior, but how these personality traits are associated with distinct features of eating behavior is still unclear. In the present systematic review, we analyzed the relationship between RST personality factors and eating behavior using a parsing approach in which BMI-related results, self-reported results, and behavioral results were distinguished. Our analysis revealed that reward and punishment sensitivity seem to correlate and influence distinct features of eating behavior. The association between BMI and RST factors was uncertain, but nonlinear associations between reward sensitivity and weight need further testing. Reward sensitivity was linked to most eating behavior phenotypes (e.g., emotional eating and restrained eating), but only punishment sensitivity was primarily correlated with eating pathology. Reward sensitivity was the main factor linked with reactivity to food stimuli on many behavioral measures. The neurobiological personality factors of RST offer parsimonious concepts to understand eating behavior outcomes and the differential relationships observed are useful to translational research.

A meta-analysis of the relationship between eating restraint, impaired cognitive control and cognitive bias to food in non-clinical samples

AIM

Food restriction is argued to be a precursor for unhealthy preoccupation with food, possibly leading to the development of an eating disorder. We updated previous meta-analyses that examined the relationship between eating restraint and deficits in either general or food-related attentional and inhibitory control. We hypothesized that inconsistencies in the literature around eating restraint, impaired cognitive control, impulsivity and cognitive biases for food could be attributed to the scale used to measure eating restraint.

METHOD

A (preregistered) subgroup meta-analysis examined whether patterns of impaired cognitive control and cognitive bias for food in predominantly healthy (non-clinical) samples differed as a function of the scale used to measure eating restraint. A series of exploratory meta-analyses were carried out for specific attentional bias tasks. In total 57 datasets were included.

RESULTS

The subgroup analysis did not provide evidence that the relationship between eating restraint and impaired or biased cognitions differed significantly as a function of restraint scale. Heterogeneity across studies was high. When examining specific attentional bias tasks there was no evidence that increased eating restraint was associated with increased attentional bias or distraction by food cues, regardless of which scale was used to measure eating restraint.

CONCLUSIONS

There is little experimental evidence for the common narrative that increased eating restraint is related to impaired cognitive control generally or increased cognitive bias for food, in non-clinical samples.

Restrained Eating Is Associated with Lower Cortical Thickness in the Inferior Frontal Gyrus in Adolescents

Some eating patterns, such as restrained eating and uncontrolled eating, are risk factors for eating disorders. However, it is not yet clear whether they are associated with neurocognitive differences. In the current study, we analyzed whether eating patterns can be used to classify participants into meaningful clusters, and we examined whether there are neurocognitive differences between the clusters. Adolescents (n = 108; 12 to 17 years old) and adults (n = 175, 18 to 40 years old) completed the Three Factor Eating Questionnaire, which was used to classify participants according to their eating profile using k means clustering. Participants also completed personality questionnaires and a neuropsychological examination. A subsample of participants underwent a brain MRI acquisition. In both samples, we obtained a cluster characterized by high uncontrolled eating patterns, a cluster with high scores in restrictive eating, and a cluster with low scores in problematic eating behaviors. The clusters were equivalent with regards to personality and performance in executive functions. In adolescents, the cluster with high restrictive eating showed lower cortical thickness in the inferior frontal gyrus compared to the other two clusters. We hypothesize that this difference in cortical thickness represents an adaptive neural mechanism that facilitates inhibition processes.

Why Dieters Succeed or Fail: The Relationship Between Reward and Punishment Sensitivity and Restrained Eating and Dieting Success

BACKGROUND

The current study set out to improve our understanding of the characteristics of individuals who are motivated to restrict their food intake yet who nevertheless fail to do so. We examined whether punishment sensitivity (PS) was related to restrained eating, and reward sensitivity (RS) to perceived dieting success. Additionally, it was examined whether executive control (EC) moderates the association between RS and perceived dieting success.

METHODS

Female student participants (N = 290, aged 17-29, BMI between 18.5 and 38.0) completed questionnaires on restrained eating, perceived dieting success, RS and PS, and carried out a behavioral task to index EC.

RESULTS

PS was indeed positively related to restrained eating. RS was positively related to perceived dieting success, yet, EC did not moderate this association.

CONCLUSION

The current study adds to the evidence that PS is related to individuals' motivation to restrict their food intake. Furthermore, it shows support for the suggestion that RS may facilitate food restriction.