Food insecurity and binge eating: A systematic review and meta-analysis

Translational science approaches for food insecurity research

Food insecurity is a pervasive problem that impacts health and well-being across the lifespan. The human research linking food insecurity to poor metabolic and behavioral health outcomes is inherently correlational and suffers from a high degree of variability both between households and even within the same household over time. Further, food insecurity is impacted by societal and political factors that are largely out of the control of individuals, which narrows the range of intervention strategies. Animal models of food insecurity are being developed to address some of the barriers to mechanistic research. However, animal models are limited in their ability to consider some of the more complex societal elements of the human condition. We believe that understanding the role that food insecurity plays in ingestive behavior and chronic disease requires a truly translational approach, and that understanding the health impacts of this complex social phenomenon requires understanding both its psychological and physiological dimensions. This brief review will outline some key features of food insecurity, highlighting those that are amenable to investigation with controlled animal models and identifying areas where integrating animal and human studies can improve our understanding of the psychological burden and health impacts of food insecurity. In the interest of brevity, this review will largely focus on food insecurity in the United States, as the factors that contribute to food insecurity vary considerably across the globe.

The ignored role of disadvantage in eating disorders

The misconception that eating disorders are conditions of affluence has shaped research and public understanding for decades. Here, we highlight links between socioeconomic disadvantage and eating disorder risk. With prevailing stereotypes discredited, we argue that considering disadvantage as a key eating disorder risk factor will advance science and reduce disparities.

Disparities in Medical Assessment Practices for Adolescents at Risk for Eating Disorders

PURPOSE

The United States Preventative Services Task Force found insufficient evidence to support universal screening for eating disorders (EDs) but did recommend assessing high-risk adolescents through laboratory tests, close follow-up, and referrals to other specialties. Yet, it is unclear whether youth at high risk for EDs receive such assessment and whether patient characteristics influence such practices.

METHODS

Using the Rochester Epidemiological Project, we identified adolescents (13-18 years) at risk for EDs (i.e., weight loss, underweight, or loss of appetite not explained by a medical condition) who presented for a medical appointment between January 1, 2005 to December 31, 2017 (n = 662; M age = 15.8 years; 66% female; 76% white). Patient and visit characteristics, assessment practices (i.e., tests, referrals, and follow-up), and ED diagnoses within 5 years following index visit were extracted.

RESULTS

Adolescents who received referrals to other providers were 4 times more likely to be diagnosed with a future ED (p < .001) and were diagnosed 137.8 days sooner (Est = -137.8, p = .04) compared to those who did not receive referrals. Compared to males, females were 2.2 times more likely to receive referrals (p < .001). Compared to those presenting at a lower body mass index, adolescents with a higher body mass index were more likely to receive medical tests (HR = 1.0, p < .01) and less likely to receive recommendations to improve eating/weight (HR = 0.99, p < .01) or follow up visits (HR = 0.99, p < .01).

DISCUSSION

Disparities in assessment practices for adolescents at high-risk for EDs underscore the need for improved tools to enhance early detection and treatment.

Preliminary associations of body weight, weight bias, and dietary restriction with eating disorder diagnosis in women experiencing food insecurity

Understanding the co-occurrence of food insecurity and eating disorders is a pressing concern. Several factors have been hypothesized to increase risk for eating disorders in women with food insecurity including dietary restriction, body weight, and weight-related bias, but few studies have tested these factors simultaneously to determine which are associated most strongly with eating disorder status. We tested cross-sectional associations of dietary restriction, current body mass index (BMI), weight suppression (i.e. the difference between current weight and highest weight), and weight bias with eating disorder diagnosis in a sample of 99 self-identified women with current food insecurity (54% White; mean [SD] age = 40.26 [14.33] years). Participants completed two virtual study visits consisting of electronic questionnaires and interviews. A binary logistic regression model was conducted to test relations between the hypothesized correlates and eating disorder diagnostic status in the past 12 months, controlling for age, food insecurity severity, and body dissatisfaction. Higher levels of weight suppression and weight bias, but not current BMI, were significantly associated with the presence of an eating disorder. Contrary to our hypothesis, greater dietary restriction was associated with lower likelihood of eating disorder diagnosis. Results suggest high levels of weight bias and weight suppression characterize women with food insecurity who meet criteria for an eating disorder. Women who experience food insecurity and have lost a relatively great deal of weight and/or hold biases about high weight should be screened for eating pathology in clinical settings.