Flattening the emotional distress curve: A behavioral health pandemic response strategy for COVID-19.

This article proposes a framework for managing the behavioral health impacts of the COVID-19 global pandemic. This framework aligns and should be integrated with an existing public health pandemic intervals model. It includes six phases of a behavioral health pandemic response strategy: preplanning, response readiness, response mobilization, intervention, continuation, and amelioration. The ways behavioral health specialists can capitalize on their competence in the leadership, prevention, education, service, research, and advocacy domains within each behavioral health pandemic response phase are articulated. Behavioral health expertise can help ensure a more comprehensive, effective pandemic response that facilitates the flattening of the curve of disease spread, along with the corresponding emotional distress curve. A case illustration, the Caring Communities (CC) initiative, is offered as an exemplar of action steps in the leadership, prevention, education, service, research, and advocacy domains that behavioral health professionals can take within each of the behavioral health pandemic response phases. Key CC action steps include providing support groups, offering virtual wellness breaks, participating in educational outreach, creating and disseminating wellness guides, launching and leading a virtual behavioral health clinic for health care staff, participating in behavioral health research and program evaluation, and engaging in advocacy initiatives aimed at improving behavioral health care and addressing and reducing health disparities. Finally, recommendations for optimizing behavioral health contributions to future pandemic responses are proffered. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Multidimensional assessment of impulsivity in relation to obesity and food addiction.

Based on similarities between overconsumption of food and addictive drugs, there is increasing interest in "food addiction," a compulsive eating pattern defined using symptoms parallel to substance use disorders. Impulsivity, a multidimensional construct robustly linked to drug addiction, has been increasingly examined as an obesity determinant, but with mixed findings. This study sought to clarify relations between three major domains of impulsivity (i.e., impulsive personality traits, discounting of delayed rewards, and behavioral inhibition) in both obesity and food addiction. Based on the association between impulsivity and compulsive drug use, the general hypothesis was that the impulsivity-food addiction relation would be stronger than and responsible for the impulsivity-obesity relation. Using a cross-sectional dimensional design, participants (N = 181; 32% obese) completed a biometric assessment, the Yale Food Addiction Scale (YFAS), the UPPS-P Impulsive Behavior Scales, a Go/NoGo task, and measures of monetary delay discounting. Results revealed significantly higher prevalence of food addiction among obese participants and stronger zero-order associations between impulsivity indices and YFAS compared to obesity. Two aspects of impulsivity were independently significantly associated with food addiction: (a) a composite of Positive and Negative Urgency, reflecting proneness to act impulsively during intense mood states, and (b) steep discounting of delayed rewards. Furthermore, the results supported food addiction as a mediator connecting both urgency and delay discounting with obesity. These findings provide further evidence linking impulsivity to food addiction and obesity, and suggest that food addiction may be a candidate etiological pathway to obesity for individuals exhibiting elevations in these domains.