Diabetes causal attributions: Pathways to stigma and health.

This study investigates the relationships among causal attributions, internalized stigma, and self-blame, along with downstream health and life satisfaction consequences for individuals with type 1 and type 2 diabetes. Data were analyzed from the Diabetes, Identity, Attributions, and Health study. Participants diagnosed with either type 1 or type 2 diabetes (N=363) were included in the analysis. Results indicated that the relationship between causal attributions and stigmatization was moderated by diabetes type. Path analyses, one for each diabetes type, revealed overall patterns linking causal attributions to internalized stigma and to self-blame, which were linked to ratings of reduced self-care, increased symptoms, and reduced life satisfaction. However, the specific paths diverged by diabetes type in important ways. Whereas higher genetic causal attributions were associated with more self-blame and stigmatization for type 1 diabetes, these attributions were associated with less self-blame and stigmatization for type 2 diabetes. The current work demonstrates the importance of causal attributions to overall health and illustrates how even in conditions with genetic attributions that are similar in magnitude, affected individuals may attach very different meaning to those attributions.

Physician weight influences responses to a public health message about the genetics of obesity.

OBJECTIVE: Many patients prefer lean physicians to physicians with obesity and place higher credence in their weight management advice. Because genetic information about weight can be viewed as self-serving for individuals with overweight or obesity, physicians with obesity may be discounted when sharing such information. As provision of genetic information regarding weight becomes increasingly common in public health messaging, could a physician's own weight influence how these messages are received by the public? METHODS: In an online survey, 967 participants were randomly assigned a physician profile (lean v. has obesity) with a media interview transcript discussing genetic factors of a common health condition (obesity v. osteoporosis). RESULTS: Participants perceived the physician with obesity who discussed genetic factors in obesity as less trustworthy and less credible. Participants were also less likely to anticipate following her advice on weight-related issues. Participants with higher BMI had less negative perceptions of this physician. CONCLUSION: Physicians with obesity, when providing public health messaging regarding genetic information about obesity, may be met with distrust and negative attitudes toward the physician. PRACTICAL IMPLICATIONS: Future research should investigate health communication strategies that address this form of weight stigma while accurately conveying genetic factors that contribute to weight.

The influence of weight on psychosocial well-being in diabetes.

BACKGROUND: Individuals with diabetes experience a wide variety of psychosocial responses to their illness due, in part, to the nature of type 1 and type 2 diabetes. Variation in patient weight may play a central role in these differences, yet its influence on psychosocial variation is largely unknown. The current study investigates the relationship between patients' perceived weight status and aspects of psychosocial well-being among individuals with type 1 diabetes (T1D) and type 2 diabetes (T2D). METHODS: Individuals who were diagnosed with type 1 or type 2 diabetes were assessed via an online survey from the Diabetes, Identity, Attributions, and Health Study. Participants were categorized into a lower v. higher weight status group based on their self-reported perceived weight. Analyses of covariance were conducted to assess differences in measures of disease onset blame, diabetes stigma, and identity concerns among diabetes type and perceived weight status. Covariates included in our models were gender, age, education, and time since diagnosis. Bonferroni correction was used for post-hoc tests to assess any significant interactions found in our models. RESULTS: Findings indicated that weight moderates multiple psychosocial outcomes pertinent to illness experience. Those with T2D and lower weight blamed themselves less for their disease onset, while those with higher weight felt blamed more for their disease onset by others, regardless of diabetes type. Individuals with T1D and higher weight were more frequently and more concerned about being mistaken for having the other disease type (i.e., T2D) compared to those with lower weight. CONCLUSIONS: Weight is a key influence on the psychosocial outcomes for people with diabetes, but it operates differently in type 1 versus type 2 diabetes. By further examining the unique interaction between disease type and weight status we may be able to improve psychological well-being among affected individuals of all sizes.

Using Educational Videos and Perspective-Taking to Communicate Gene-By-Environment Interaction Concepts about Eating Behavior: Effects on Empathy and Weight Stigma.

OBJECTIVE: This study investigated whether education about gene-by-environment interaction (G × E) concepts could improve G × E knowledge and positively affect empathy and weight stigma. DESIGN: We conducted a randomized trial using a 2 × 2 between-subjects design. SETTING: Online. PARTICIPANTS: Five hundred eighty-two American participants from the Prolific platform. INTERVENTION: Participants were randomly assigned to watch an educational or a control video. Participants then watched a set of vignette scenarios that depicted what it is like to have a predisposition toward obesogenic eating behaviors from either a first-person or third-person perspective. MAIN OUTCOME MEASURE(S): Participants completed questionnaires measuring G × E knowledge, causal attributions, weight stigma, and empathy postintervention. ANALYSIS: Two-by-two between-subjects ANOVAs and exploratory mediation analyses were conducted. RESULTS: Participants who watched the educational video demonstrated greater G × E knowledge, reported higher empathy toward the characters in the vignette scenarios and held fewer stigmatizing attitudes (notably blame) toward individuals with higher weight. Exploratory mediation analyses indicated that the educational video led to these positive downstream effects by increasing the extent to which participants attributed genetic causes to eating behaviors. CONCLUSIONS AND IMPLICATIONS: Education about G × E causes of eating behaviors can have beneficial downstream effects on attitudes toward people with higher weight.

Educational considerations based on medical student use of polygenic risk information and apparent race in a simulated consultation.

PURPOSE: To craft evidence-based educational approaches related to polygenic risk score (PRS) implementation, it is crucial to forecast issues and biases that may arise when PRS are introduced in clinical care. METHODS: Medical students (N = 84) were randomized to a simulated primary care encounter with a Black or White virtual reality-based patient and received either a direct-to-consumer-style PRS report for 5 common complex conditions or control information. The virtual patient inquired about 2 health concerns and her genetic report in the encounter. Data sources included participants' verbalizations in the simulation, care plan recommendations, and self-report outcomes. RESULTS: When medical students received PRSs, they rated the patient as less healthy and requiring more strict advice. Patterns suggest that PRSs influenced specific medical recommendations related to the patient's concerns, despite student reports that participants did not use it for that purpose. We observed complex patterns regarding the effect of patient race on recommendations and behaviors. CONCLUSION: Educational approaches should consider potential unintentional influences of PRSs on decision-making and evaluate ways that they may be applied inconsistently across patients from different racial groups.

Cybersickness Variability by Race: Findings From 6 Studies and a Mini Meta-analysis.

BACKGROUND: With the influx of medical virtual reality (VR) technologies, cybersickness has transitioned from a nuisance experienced during leisure activities to a potential safety and efficacy concern for patients and clinicians. To improve health equity, it is important to understand any potential differences in cybersickness propensity among demographic groups, including racial groups. OBJECTIVE: This study aims to explore whether cybersickness propensity differs across racial groups. METHODS: We collected self-reported cybersickness ratings from 6 racially diverse independent samples within 1 laboratory group (N=931). In these studies, the participants were asked to perform tasks in VR such as traversing environments, pointing at and selecting objects, and interacting with virtual humans. RESULTS: Significant racial differences in cybersickness were found in 50% (3/6) of studies. A mini meta-analysis revealed that, on average, Black participants reported approximately one-third of SD less cybersickness than White participants (Cohen d=-0.31; P<.001), regardless of the nature of the VR experience. There was no overall difference in reported cybersickness between the Asian and White participants (Cohen d=-0.11; P=.51). CONCLUSIONS: Racial differences in cybersickness indicate that researchers, practitioners, and regulators should consider patient demographics when evaluating VR health intervention outcomes. These findings lay the groundwork for future studies that may explore racial differences in cybersickness directly.