Maia Griffith
Project Personnel, University of Chicago
9 active projects
Postoperative Complication Analysis
Scientific Questions Being Studied
This project will be an exploration of the relationship between surgical interventions, post surgical complications, and disparities
Project Purpose(s)
- Educational
Scientific Approaches
This project will be an exploration of the relationship between surgical interventions, post surgical complications, and disparities
Anticipated Findings
We anticipate that we might find a relationship between surgical interventions, post surgical complications, and disparities
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierResearch Team
Owner:
- Sabrina Foster - Graduate Trainee, University of Chicago
- Hector Ortiz - Graduate Trainee, University of Chicago
- Maia Griffith - Project Personnel, University of Chicago
Cardio Paper Working Version
Scientific Questions Being Studied
This study seeks to understand the relationship between ambient air pollution concentrations (PM2.5 and NO2) and the incidence of hypertension in the All of Us cohort. To explore this association we will match modelled air quality data for the continental USA to participant zip code prefix. Analysis will consist of multivariate logistic regression and generalized additive models.
Project Purpose(s)
- Disease Focused Research (hypertension)
- Population Health
Scientific Approaches
This study seeks to understand the relationship between ambient air pollution concentrations (PM2.5 and NO2) and the incidence of hypertension in the All of Us cohort. To explore this association we will match modelled air quality data for the continental USA to participant zip code prefix. Analysis will consist of multivariate logistic regression and generalized additive models.
Anticipated Findings
We anticipate an association between air pollution concentrations and the incidence of hypertension. We anticipate that the strength of this association will vary by race and other demographic factors, as well as by smoking status and other behavioral health factors.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierResearch Team
Owner:
- Maia Griffith - Project Personnel, University of Chicago
- Jiajun Luo - Research Fellow, University of Chicago
- Andrew Craver - Project Personnel, University of Chicago
Preeclampsia Associations AllofUs v7
Scientific Questions Being Studied
The specific scientific questions this study aims to investigate are the associations between PAPP-A levels and various demographic factors including socioeconomic status, age, BMI, education level, race, ethnicity, zip code, and number of previous births, using data from the All of Us data set. This research is important because it could provide insights into the potential role of PAPP-A as a biomarker in reproductive health and pregnancy outcomes. Understanding how PAPP-A levels may be influenced by demographic variables could help identify populations at risk for adverse reproductive health outcomes, and inform strategies for early detection and intervention. Furthermore, elucidating the relationship between PAPP-A and demographic factors could contribute to our understanding of the underlying mechanisms of PAPP-A in reproductive health, and potentially guide the development of targeted interventions to improve pregnancy outcomes in vulnerable populations in future studies.
Project Purpose(s)
- Population Health
- Educational
Scientific Approaches
The scientific approaches used in this study will involve a retrospective analysis of data from the All of Us data set, a large and diverse dataset that includes information on various demographic factors and health outcomes. The study will utilize statistical methods to analyze the data and determine potential associations between PAPP-A levels and demographic variables, such as socioeconomic status, age, BMI, education level, race, ethnicity, zip code, and number of previous births. Other biomarkers may be added as we see fit.
The methods in this study will involve statistical analyses, such as regression analyses in R (python to clean data), to examine the relationships between PAPP-A levels and demographic variables. Descriptive statistics will be used to summarize the characteristics of the study population, and inferential statistics will be used to determine the significance and strength of associations between PAPP-A levels and demographic variables.
Anticipated Findings
The findings from this study are anticipated to provide valuable insights into the clinical significance of PAPP-A in reproductive health and pregnancy outcomes. It may uncover potential associations between PAPP-A levels and demographic factors, shedding light on the role of socioeconomic status, age, BMI, education level, race, ethnicity, zip code, and number of previous births in relation to PAPP-A levels. These findings could contribute to the body of scientific knowledge by providing evidence for the use of PAPP-A as a biomarker for reproductive health and pregnancy outcomes, and may inform clinical decision-making, risk assessment, and management strategies for pregnant individuals. Additionally, the study may identify vulnerable populations that may be at higher risk based on demographic factors, highlighting the importance of considering social determinants of health in reproductive health research and practice.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierResearch Team
Owner:
- Sabrina Foster - Graduate Trainee, University of Chicago
- Hector Ortiz - Graduate Trainee, University of Chicago
- Maia Griffith - Project Personnel, University of Chicago
Cancer and the Environment Revision
Scientific Questions Being Studied
The purpose of this workspace is to have a look at any environmental health variables included at the Controlled Tier. Our group hopes to be able to conduct an analysis of the relationship between PM2.5 and cardiometabolic outcomes in the AoU dataset, and we will create a new workspace with our research plan once we have a better idea of whether the dataset has the necessary variables to support this project.
Project Purpose(s)
- Other Purpose (The purpose of this workspace is to have a look at any environmental health variables included at the Controlled Tier. Our group hopes to be able to conduct an analysis of PM2.5 and cardiometabolic outcomes, and we will create a new workspace with our research plan once we have a better idea of whether the dataset has the necessary variables to support this project. )
Scientific Approaches
Regression analysis and other methods to be determined by the data.
The purpose of this workspace is to have a look at any environmental health variables included at the Controlled Tier. Our group hopes to be able to conduct an analysis of the relationship between PM2.5 and cardiometabolic outcomes in the AoU dataset, and we will create a new workspace with our research plan once we have a better idea of whether the dataset has the necessary variables to support this project.
Anticipated Findings
We hope to gain a better understanding of any associations between environmental PM 2.5 and cardiometabolic outcomes among the All of Us cohort. Such an analysis with a sample of this size would be a novel addition to the environmental health literature.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierResearch Team
Owner:
- Maia Griffith - Project Personnel, University of Chicago
- Andrew Craver - Project Personnel, University of Chicago
William Project - Andy Version
Scientific Questions Being Studied
I am creating a workspace as part as of the Equity and Precision health Spring 2023 Quarter course at the University of Chicago. I am a masters student in the Precision health program. I am learning to use the workbench. I plan to update this description as I frame my research question.
Project Purpose(s)
- Educational
Scientific Approaches
I am going to explore a question of equity in precision health using all available data in the workbench. I will refine my data and analytical requirements as I frame my research question.
Anticipated Findings
I am unclear what to anticipate. This is mainly a class exercise to understand how to use the workbench.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierResearch Team
Owner:
- William Olaprath - Graduate Trainee, University of Chicago
- Maia Griffith - Project Personnel, University of Chicago
- Andrew Craver - Project Personnel, University of Chicago
Cardio Paper
Scientific Questions Being Studied
This study seeks to understand the relationship between ambient air pollution concentrations (PM2.5 and NO2) and the incidence of hypertension in the All of Us cohort. To explore this association we will match modelled air quality data for the continental USA to participant zip code prefix. Analysis will consist of multivariate logistic regression and generalized additive models.
Project Purpose(s)
- Disease Focused Research (hypertension)
- Population Health
Scientific Approaches
This study seeks to understand the relationship between ambient air pollution concentrations (PM2.5 and NO2) and the incidence of hypertension in the All of Us cohort. To explore this association we will match modelled air quality data for the continental USA to participant zip code prefix. Analysis will consist of multivariate logistic regression and generalized additive models.
Anticipated Findings
We anticipate an association between air pollution concentrations and the incidence of hypertension. We anticipate that the strength of this association will vary by race and other demographic factors, as well as by smoking status and other behavioral health factors.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierResearch Team
Owner:
- Maia Griffith - Project Personnel, University of Chicago
- Jiajun Luo - Research Fellow, University of Chicago
- Andrew Craver - Project Personnel, University of Chicago
Prior_William O - Equity in Precision Health
Scientific Questions Being Studied
I am creating a workspace as part as of the Equity and Precision health Spring 2023 Quarter course at the University of Chicago. I am a masters student in the Precision health program. I am learning to use the workbench. I plan to update this description as I frame my research question.
Project Purpose(s)
- Educational
Scientific Approaches
I am going to explore a question of equity in precision health using all available data in the workbench. I will refine my data and analytical requirements as I frame my research question.
Anticipated Findings
I am unclear what to anticipate. This is mainly a class exercise to understand how to use the workbench.
Demographic Categories of Interest
- Geography
- Access to Care
- Education Level
- Income Level
Data Set Used
Controlled TierResearch Team
Owner:
- William Olaprath - Graduate Trainee, University of Chicago
- Maia Griffith - Project Personnel, University of Chicago
- Andrew Craver - Project Personnel, University of Chicago
Duplicate of Student Workspaces
Scientific Questions Being Studied
This workspace will be shared with students (all are registered Workbench users with their own accounts) as they work through their quarter-long Equity in Precision Health research project at the University of Chicago. These students are investigating a variety of associations between conditions, treatments, and demographics in order to learn how to use the Workbench while exploring health equity. I will give them a head start by unpacking some of the data for them and showing them how to clean and analyze data.
Project Purpose(s)
- Educational
Scientific Approaches
This workspace will be shared with students (all are registered Workbench users with their own accounts) as they work through their quarter-long Equity in Precision Health research project at the University of Chicago. These students are investigating a variety of associations between conditions, treatments, and demographics in order to learn how to use the Workbench while exploring health equity. I will give them a head start by unpacking some of the data for them and showing them how to clean and analyze data.
Anticipated Findings
We hope that students will develop an understanding of the Workbench, its methods, the available data, and the process of undertaking a Workbench project from start to finish.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierSocial Determinants - Chicago
Scientific Questions Being Studied
We intend to provide descriptive data on the All of Us research cohort from the Chicagoland area, focusing specifically on social determinants of health.
Project Purpose(s)
- Educational
Scientific Approaches
Participants will be filtered to those that live in the Chicago area, and Jupyter notebook will be used to provide descriptive statistics using Python.
Anticipated Findings
Findings from this study will help to inform recruitment strategies for the area.
Demographic Categories of Interest
- Race / Ethnicity
- Access to Care
- Income Level
Data Set Used
Controlled TierResearch Team
Owner:
- Maia Griffith - Project Personnel, University of Chicago
- Andrew Craver - Project Personnel, University of Chicago
Request a Review of this Research Project
You can request that the All of Us Resource Access Board (RAB) review a research purpose description if you have concerns that this research project may stigmatize All of Us participants or violate the Data User Code of Conduct in some other way. To request a review, you must fill in a form, which you can access by selecting ‘request a review’ below.
