An epidemiological study to investigate the multifactoral nature of diabetes risk among adults with COVID-19 with a genetic and social determinants of health lens

Student summary

Why This Research Matters

This research proposal, titled 'An epidemiological study to investigate the multifactoral nature of diabetes risk among adults with COVID-19 with a genetic and social determinants of health lens,' outlines an important investigation into how individuals who have had COVID-19 might develop new-onset diabetes. The primary focus is on understanding not just whether this happens, but also why it happens by looking at both individual factors (like genetics) and external factors (like social conditions). As a nursing student, you should understand the core problem: post-COVID infections are increasingly common, and emerging evidence suggests that some individuals might develop new-onset diabetes following these infections. This study aims to quantify this risk and identify who is most susceptible.

The research will address two main questions: 1. What is the actual prevalence of new-onset diabetes in adults after they have had COVID-19? (This means how common it is). 2. How do various individual factors (such as specific genetic markers identified through genome-wide association studies) and external social determinants of health (like socioeconomic status, access to healthcare, or environmental exposures) influence the development of this new-onset diabetes?

To answer these questions, the study proposes a multi-faceted approach: * **Systematic Review and Meta-Analysis:** This involves collecting and analyzing existing published research on new-onset diabetes post-COVID-19. By synthesizing data from multiple studies, researchers can get a more robust estimate of its prevalence. * **Utilization of the All of Us Database:** The study will leverage this large real-world data platform. It contains extensive biomedical and health-related information collected prospectively (meaning it's gathered over time as events occur) from a diverse group of participants in the United States. This database is crucial because it allows researchers to investigate individual factors like genetic predispositions by linking survey responses with biological samples. * **Genome-Wide Association Studies (GWAS):** These studies will be conducted using data from All of Us to identify specific genetic variations that might increase an individual's risk of developing new-onset diabetes after a COVID-19 infection. GWAS involves scanning the entire genome for markers associated with a particular trait or disease. * **Investigation of Individual and External Factors:** Beyond genetics, the study will explore how other personal characteristics (e.g., age, sex, pre-existing conditions) and broader social determinants of health (e.g., income level, education, neighborhood environment) contribute to this risk. This holistic approach is vital for understanding complex health outcomes.

The ultimate goals are significant: * **Identify Populations at Risk:** The findings will help pinpoint specific groups who are more vulnerable to developing new-onset diabetes after COVID-19. This could include people with certain genetic profiles or those living in particular social circumstances. * **Assess Potential Shifts in Disease Burden:** Understanding the scale of this emerging health issue is crucial for public health planning and resource allocation. * **Inform Prevention and Early Intervention Strategies:** By knowing who is at risk and why, healthcare providers can develop targeted screening programs and preventive measures. This could lead to earlier detection and better management of diabetes in post-COVID-19 patients.

The study emphasizes the importance of training nurse scientists like Jordan Keels (the principal investigator) in advanced data analysis techniques and interdisciplinary research methods. The project is supported by Boston College Connell School of Nursing, which provides a strong institutional environment with resources for this type of complex research.

As nursing students, you should appraise several aspects: * **The Rationale:** Is the problem clearly defined? Does it highlight an important gap in current knowledge? * **Methodology:** Are the proposed methods (systematic review, meta-analysis, use of All of Us data, GWAS) appropriate and robust for answering the research questions? * **Data Source:** The All of Us database is a powerful tool, but it's essential to consider its representativeness and potential biases. * **Training Component:** How does this project contribute to developing future nurse scientists capable of conducting rigorous health informatics research?

When considering source and rights: This record comes from NIH RePORTER, which provides public metadata for funded projects. The abstract is the primary source of information about the study's aims and methods. While it doesn't contain raw data or detailed findings (as this is a proposal), it clearly outlines the planned research.

As future nurses, you would reason from this evidence by understanding that new-onset diabetes post-COVID-19 is an emerging concern with multifactorial causes. The study's focus on both genetic and social determinants underscores the complexity of health outcomes. If findings confirm a significant risk, it will be crucial for nursing practice to incorporate screening protocols for diabetes in post-recovery care pathways, particularly for identified high-risk populations. This research exemplifies how nursing science can contribute to understanding complex public health challenges through innovative use of data and interdisciplinary collaboration.

Faculty notes

Educational Relevance

This NIH-funded research proposal by Jordan Keels at Boston College Connell School of Nursing outlines a comprehensive epidemiological study designed to investigate the multifactorial nature of new-onset diabetes risk among adults following COVID-19 infection. The project's central aim is to elucidate how both individual (genetic) and external (social determinants of health) factors contribute to this emerging post-infectious complication.

The research will address two primary objectives: first, to determine the true prevalence of new-onset diabetes in individuals who have experienced COVID-19; second, to identify specific individual genetic markers through genome-wide association studies (GWAS), and external social determinants that influence the development of this condition. The proposed methodology is robust and multi-pronged:

* **Systematic Review & Meta-analysis:** This foundational step will synthesize existing literature on new-onset diabetes post-COVID-19 to establish a baseline understanding of its prevalence across different populations. * **All of Us Database Utilization:** The study leverages the All of Us Research Program, a large-scale real-world data platform. This database is invaluable for investigating individual factors like genetic predispositions by linking prospective survey data with biological samples and health records from a diverse US population. * **Genome-Wide Association Studies (GWAS):** These will be conducted using data from All of Us to identify specific genetic variants associated with an increased risk of new-onset diabetes following COVID-19. This is critical for understanding the heritable component of this post-infectious outcome. * **Investigation of Social Determinants:** The study design explicitly incorporates analysis of external factors such as socioeconomic status, access to healthcare, education levels, and environmental exposures, recognizing their significant impact on health outcomes.

The project's significance lies in its potential to identify high-risk populations for targeted interventions. By understanding the interplay between genetic susceptibility and social context, researchers can inform prevention strategies that go beyond individual-level care to address broader public health needs. The findings are expected to guide earlier detection efforts, optimize resource allocation, and ultimately reduce the burden of this new chronic disease manifestation.

The proposal highlights a strong training component for Jordan Keels as a nurse scientist fellow. This includes developing expertise in advanced data analysis techniques (including GWAS), understanding how individual and external factors influence health outcomes, and gaining experience through interdisciplinary team-based research experiences with mentors from endocrinology/diabetes, health informatics/data science, and statistical methodology. The institutional support at Boston College Connell School of Nursing is noted as crucial for project completion.

From an educational perspective, this proposal serves as a valuable case study in several areas: * **Research Design:** It demonstrates the integration of multiple research methods (systematic review, meta-analysis, GWAS) to address complex health questions. * **Nursing Science and Informatics:** The project exemplifies how nursing science can contribute to understanding chronic disease development through innovative use of large-scale real-world data platforms like All of Us. * **Interdisciplinary Collaboration:** It underscores the importance of collaboration between nurses, endocrinologists, data scientists, and statisticians in modern health research. * **Training Future Nurse Scientists:** The fellowship structure provides a clear model for developing advanced methodological skills and substantive knowledge in nursing researchers.

Faculty should consider this proposal as an example of how to frame a compelling research question around emerging public health issues (post-COVID-19 complications) using rigorous, data-driven approaches. It also illustrates the alignment with NIH priorities such as leveraging real-world data for chronic disease research and training the future biomedical workforce.