Diabetes causal attributions among affected and unaffected individuals.

Objective: The present study aims to describe and compare causal attributions for type 1 diabetes (T1D) and type 2 diabetes (T2D) among affected and unaffected individuals and to investigate the relationships among attributions, attitudes, and beliefs. Research design and methods: Adults with no diabetes (N=458), T1D (N=192), or T2D (N=207) completed an online survey. Measures assessed diabetes conceptual knowledge, causal attributions for T1D and T2D, perceived control over diabetes onset, and favorability judgements of individuals affected by each type. Results: Results indicate general agreement on causal attributions for T1D and T2D among all respondent groups, with some divergences by disease status. All respondents attributed both T1D and T2D to genetics, and genetic attributions were positively associated with favorability judgements of individuals with T2D, but not those with T1D. Conclusions: This report sets the stage for investigations into how and why attributions for T1D and T2D differ and the implications of these differences including stigmatization of individuals with diabetes and diabetes-related self-concept. Additionally, this work can inform efforts towards clinical and public health education to prevent and optimize treatment of T1D and T2D.

Influence of weight etiology information and trainee characteristics on Physician-trainees' clinical and interpersonal communication.

OBJECTIVE: This analysis explores the effects of relaying information about the genetic and behavioral causes of obesity (vs. control) on physician trainees' verbal communication behavior with a virtual patient with obesity. Moderation by physician trainees' gender and BMI was also assessed. METHODS: 119 physician trainees' verbal responses were recorded and coded using a close-ended content analytic approach. RESULTS: Physician trainees in the behavioral and genetic information conditions were more likely to discuss weight (behavioral: AOR = 5.40; genetic: AOR = 6.58,) and provide lifestyle counseling (behavioral: AOR = 10.92; genetic: AOR = 3.50). Those in the behavioral condition were more likely to make assumptions about the patient's lifestyle behavior (AOR = 5.53) and use stigmatizing language (AOR = 4.69). Heavier physician trainees in the genetic condition had shorter interactions (ß = -0.53, p < 0.01). CONCLUSION: Emphasizing the genetic causes of overweight offers a potential avenue for encouraging clinical communication with patients with obesity, without also increasing prejudice and bias. Additional efforts may be needed to reap the benefits of genetic information for providers with higher weight. PRACTICE IMPLICATIONS: For providers, considering genetic factors underlying patient body weight and obesity risk may serve to reduce stigmatizing communication with patients.

Effects of Fruit and Vegetable Feeding Messages on Mothers and Fathers: Interactions Between Emotional State and Health Message Framing.

BACKGROUND: There is a pressing need to craft optimal public health messages promoting healthy feeding behaviors among parents. How these messages influence such feeding decisions are affected by multiple interactive factors including emotional states, message framing, and gender, but these factors have not been studied in the domain of parents' feeding of their children. PURPOSE: To evaluate the role of message framing, emotional state, and parent gender on feeding choices that parents make for their children. METHODS: In 2016-2017, 190 parents (126 mothers) of 4- to 7-year-old children were randomly assigned to an anger or fear emotion induction and read either a gain- or loss-framed message about the importance of children's fruit and vegetable (FV) consumption prior to choosing foods for their child from a virtual reality buffet. RESULTS: Mothers in an angry state who received a gain-framed message chose relatively more FV for their child in the virtual buffet, F(3, 180) = 4.77, p = .027. However, fathers in this group did not feed more FV, but rather reported greater intention to improve future FV feeding, F(3, 180) = 4.91, p = .028. CONCLUSIONS: Providing gain-framed messages to parents, particularly mothers, in an anger state may be most effective for motivating healthy dietary choices for children. CLINICAL TRIAL INFORMATION: clinicaltrials.gov NCT02622035.

Genomics-informed weight management in primary care: anticipated public interest.

AIM: An exploratory survey assessed the influence of current and potential future genomic applications for weight management on individuals' desires to address weight management within primary care. Materials & methods: A convenience sample of 714 US adults aged 18-70 completed an online survey that presented three scenarios: no genomic information; current genomic capabilities; and potential future applications of genomics for weight management. RESULTS: Participants had increased interest in weight management assistance through primary care when considering genomic applications in weight management, p (1,1.68) = 24.66, p < 0.001; this increase was more robust among individuals who felt their weight was important for their health, p (1,1.68) = 20.85, p < 0.001. CONCLUSION: Primary care systems may need to accommodate a rise in the volume of patients seeking weight management assistance as genomic approaches come to fruition.

Validity of assessing child feeding with virtual reality.

Assessment of parents' child feeding behavior is challenging, and there is need for additional methodological approaches. Virtual reality technology allows for the creation of behavioral measures, and its implementation overcomes several limitations of existing methods. This report evaluates the validity and usability of the Virtual Reality (VR) Buffet among a sample of 52 parents of children aged 3-7. Participants served a meal of pasta and apple juice in both a virtual setting and real-world setting (counterbalanced and separated by a distractor task). They then created another meal for their child, this time choosing from the full set of food options in the VR Buffet. Finally, participants completed a food estimation task followed by a questionnaire, which assessed their perceptions of the VR Buffet. Results revealed that the amount of virtual pasta served by parents correlated significantly with the amount of real pasta they served, rs = 0.613, p < .0001, as did served amounts of virtual and real apple juice, rs = 0.822, p < .0001. Furthermore, parents' perception of the calorie content of chosen foods was significantly correlated with observed calorie content (rs = 0.438, p = .002), and parents agreed that they would feed the meal they created to their child (M = 4.43, SD = 0.82 on a 1-5 scale). The data presented here demonstrate that parent behavior in the VR Buffet is highly related to real-world behavior, and that the tool is well-rated by parents. Given the data presented and the potential benefits of the abundant behavioral data the VR Buffet can provide, we conclude that it is a valid and needed addition to the array of tools for assessing feeding behavior.