Advancing the communication of genetic risk for cardiometabolic diseases: a critical interpretive synthesis

BACKGROUND

Genetics play an important role in risk for cardiometabolic diseases-including type 2 diabetes, cardiovascular disease and obesity. Existing research has explored the clinical utility of genetic risk tools such as polygenic risk scores-and whether interventions communicating genetic risk information using these tools can impact on individuals' cognitive appraisals of disease risk and/or preventative health behaviours. Previous systematic reviews suggest mixed results. To expand current understanding and address knowledge gaps, we undertook an interpretive, reflexive method of evidence synthesis-questioning the theoretical basis behind current interventions that communicate genetic risk information and exploring how the effects of genetic risk tools can be fully harnessed for cardiometabolic diseases.

METHODS

We obtained 189 records from a combination of database, website and grey literature searches-supplemented with reference chaining and expert subject knowledge within the review team. Using pre-defined critical interpretive synthesis methods, quantitative and qualitative evidence was synthesised and critiqued alongside theoretical understanding from surrounding fields of behavioural and social sciences.

FINDINGS

Existing interventions communicating genetic risk information focus predominantly on the "self", targeting individual-level cognitive appraisals, such as perceived risk and perceived behavioural control. This approach risks neglecting the role of contextual factors and upstream determinants that can reinforce individuals' interpretations of risk. It also assumes target populations to embody an "ascetic subject of compliance"-the idea of a patient who strives to comply diligently with professional medical advice, logically and rationally adopting any recommended lifestyle changes. We developed a synthesising argument-"beyond the ascetic subject of compliance"-grounded in three major limitations of this perspective: (1) difficulty applying existing theories/models to diverse populations, (2) the role of familial variables and (3) the need for a life course perspective.

CONCLUSIONS

Interventions communicating genetic risk information should account for wider influences that can affect individuals' responses to risk at different levels-including through interactions with their family systems, socio-cultural environments and wider health provision.

PROTOCOL REGISTRATION

PROSPERO CRD42021289269.

Perceived Risk of Diabetes Among Vietnamese Americans with Prediabetes: A Mixed Methods Study (Preprint)

BACKGROUND

Vietnamese Americans have a relatively high risk of developing diabetes at younger ages, yet there are no published studies exploring their risk perceptions.

OBJECTIVE

This mixed methods study describes perceived diabetes risk in the context of an underserved population.

METHODS

This study was guided by the Common-Sense Model of Self-Regulation. Snowball sampling was used to recruit 10 Vietnamese Americans with prediabetes and achieve data saturation. Qualitative and quantitative descriptive methodologies with data transformation were used to analyze data from semistructured interviews and questionnaires to explore the dimensions of perceived diabetes risk.

RESULTS

Participants were between the ages of 30 and 75 years with diversity also noted in diabetes risk factors. The 3 risk perception domains from qualitative data were risk factors, disease severity, and preventing diabetes. The main perceived diabetes risk factors were eating habits (including cultural influences), sedentary lifestyle, and family history of diabetes. Quantitative data supported qualitative findings of a low-to-moderate level of perceived diabetes risk. Despite the lower levels of perceived diabetes risk, Vietnamese Americans do believe that the severity of diabetes is a "big concern."

CONCLUSIONS

Vietnamese Americans with prediabetes have a low-to-moderate level of perceived diabetes risk. Understanding the perceived diabetes risk in this population provides a foundation for diabetes prevention interventions that consider cultural influences on diet and exercise.

Risk perception of developing diabetes: A concept analysis

BACKGROUND

Cognitive risk perception has been linked to health behavior needed to reduce the risk of developing type 2 diabetes. The concept of risk perception of developing diabetes needed review due to: (a) frequent lack of congruency between perceived and actual risk of developing diabetes, and (b) inconsistent measures for calculating perceived diabetes risk.

DESIGN

The concept analysis was conducted using the Walker and Avant approach.

DATA SOURCES

Dictionary definitions, thesaurus synonyms and antonyms, theoretical sources, and seminal works related generally to risk perception were reviewed. Database searches for studies conducted in the United States measuring perceived risk of developing diabetes, were conducted in PubMed, Embase, and CINAHL; resulting in the selection and review of 23 research articles.

RESULTS

The identified dimensions of perceived diabetes risk were: perceived likelihood, personal risk, general risk, cognitive, emotional, comparative risk, and unrealistic optimism. Some antecedents of perceived diabetes risk were motivational factor, individual difference, contextual factor, cognitive factor, and affective factor. A consequence of perceived diabetes risk was health-promoting behaviors.

CONCLUSIONS

This concept analysis increases clarity of a multidimensional concept, providing a basis for validity for measurements. Consideration of antecedents for perceived diabetes risk will be important as related to diabetes prevention efforts.

Perceived Risk of Developing Diabetes in the General Population and Asian Americans: Systematic Review

Introduction: The purpose of this systematic review was to explore perceived diabetes risk with foci on prediabetic persons and Asian Americans. Persons with prediabetes and of Asian descent are at higher risk for developing diabetes, but little is known about their perceived diabetes risk. Method: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guided this systematic review. Electronic searches were conducted in three databases. The authors conducted eligibility determination, data extraction, synthesis, and evaluation. Twelve articles were selected. Results: Key findings include (1) limited studies including Asian populations, (2) a low percentage of persons in the general population with moderate to high levels of perceived diabetes risk, (3) a lack of congruency between actual and perceived diabetes risk in the general population, and (4) no interventions effectively changing the level of perceived diabetes risk. Discussion: More studies regarding perceived diabetes risk are needed, especially with a focus on Asian Americans.

Personalized Medicine Implementation with Non-traditional Data Sources: A Conceptual Framework and Survey of the Literature

OBJECTIVES

With the explosive growth in availability of health data captured using non-traditional sources, the goal for this work was to evaluate the current biomedical literature on theory- driven studies investigating approaches that leverage non- traditional data in personalized medicine applications.

METHODS

We conducted a literature assessment guided by the personalized medicine unsolicited health information (pUHl) conceptual framework incorporating diffusion of innovations and task-technology fit theories.

RESULTS

The assessment provided an oveiview of the current literature and highlighted areas for future research. In particular, there is a need for: more research on the relationship between attributes of innovation and of societal structure on adoption; new study designs to enable flexible communication channels; more work to create and study approaches in healthcare settings; and more theory-driven studies with data-driven interventions.

CONCLUSION

This work introduces to an informatics audience an elaboration on personalized medicine implementation with non-traditional data sources by blending it with the pUHl conceptual framework to help explain adoption. We highlight areas to pursue future theory-driven research on personalized medicine applications that leverage non-traditional data sources.

ACE gene haplotypes and social networks: Using a biocultural framework to investigate blood pressure variation in African Americans

Deaths due to hypertension in the US are highest among African Americans, who have a higher prevalence of hypertension and more severe hypertensive symptoms. Research indicates that there are both genetic and sociocultural risk factors for hypertension. Racial disparities in hypertension also likely involve genetic and sociocultural factors, but the factors may interact and manifest differently across racial groups. Here we use a biocultural approach to integrate genetic and social network data to better understand variation in blood pressure. We assay genetic variation at the angiotensin I converting enzyme gene (ACE) and analyze social network composition and structure in African Americans living in Tallahassee, FL (n = 138). We demonstrate that models including both genetic and social network data explain significantly more variation in blood pressure and have better model diagnostics than do models including only one datatype. Specifically, optimal models for systolic and diastolic blood pressure explain a notable 35% and 21%, respectively, of blood pressure variation. Analysis of the social networks reveals that individuals whose networks are dominated by family connections and are more fragmented have higher blood pressure. Historically, family support has been associated with better mental and physical health, but our results suggest that those family connections can also take a toll on health. These findings raise compelling questions regarding the roles of genetics, family, and social environment in hypertension in the African American community and suggest that interactions among these factors may help explain racial disparities in hypertension more accurately than any of the factors alone.

Heart disease risk information, encouragement, and physical activity among Mexican-origin couples: Self- or spouse-driven change?

Family health history is an accessible, clinically-recommended genomic tool that improves health risk evaluation. It captures both genetic and modifiable risk factors that cluster within families. Thus, families represent a salient context for family health history-based interventions that motivate engagement in risk-reducing behaviors. While previous research has explored how individuals respond to their personal risk information, we extend this inquiry to consider how individuals respond to their spouse's risk information among a sample of Mexican-Americans. One hundred and sixty spouse-dyads within Mexican-heritage households received a pedigree or a pedigree and personalized risk assessments, with or without behavioral recommendations. Analyses of Covariance (ANCOVAs) were conducted to assess the relationship between risk feedback, both personal and spouse, and self-reported physical activity levels at 3-month and 10-month assessments, controlling for baseline levels. The effect of being identified as an encourager of spouse's healthy weight was also evaluated. Personal feedback had no effect on participants' physical activity at either 3- or 10-month assessments. However, husbands' risk information was associated with wives' physical activity levels at 3-month assessment, with women whose husbands received both increased risk feedback and behavioral recommendations engaging in significantly higher physical activity levels than all other women. At 10-month follow-up, physical activity levels for both husbands and wives differed depending on whether they encouraged their spouse's healthy weight. Spousal risk information may be a stronger source of motivation to improve physical activity patterns than personal risk information, particularly for women. Interventions that activate interpersonal encouragement among spouses may more successfully extend intervention effects.