Fernando Diaz
Research Fellow, University of North Carolina, Chapel Hill
2 active projects
Body Composition and SDOH among Older Individuals w Lung Cancer
Scientific Questions Being Studied
With this study, we hope to better understand the differences in body composition and social determinants of health by race/ethnicity among older individuals with lung cancer. The social determinants of health (SDOH) encompass the social, economic, and environmental factors that can affect individuals’
health and quality of life. These factors can include adequate access to food and nutrition, gainful employment and stable income, safe and affordable housing, safe neighborhoods, and reliable transportation. Individuals who have positive social, economic, and environmental exposures, or whose basic needs
are met, are more likely to be in better health and maintain good health in the long term. Alternatively, those who struggle with SDOH-related factors are at greater risk of poor health, morbidity and mortality. For older adults in particular, SDOH-related factors can have significant implications for their ability to live independently and age in place.
Project Purpose(s)
- Population Health
Scientific Approaches
We plan to utilize the All of Us dataset and use covariate analysis to identify statistically significant differences in body composition measurements and notable social determinants of health by racial-ethnic group in older adults with a history of lung cancer.
Anticipated Findings
We anticipate finding significant differences in social determinants as it relates to race and ethnicity which may or may not correlate with body composition findings.
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Education Level
- Income Level
Data Set Used
Registered Tier
obesity & derm
Scientific Questions Being Studied
I am interested in identifying the association between social determinants of health, including race, ethnicity, and gender with dermatological conditions in the overweight-obese patient population.
Project Purpose(s)
- Educational
Scientific Approaches
I intend on using social determinant dataset, EHR data (for BMI, waist circumference) . I plan to use basic statistical analysis to interpret my dataset.
Anticipated Findings
I suspect that patients who are obese will have a higher likelihood of dermatological conditions which could be potential modifiable through dietary interventions.
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Geography
- Education Level
- Income Level
Data Set Used
Controlled TierRequest a Review of this Research Project
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