kaitlyn swacil

Project Personnel, University of Florida

19 active projects

General Health & Quality of Life

General health represents a multifaceted aspect comprising physical, mental, and social well-being, along with overall quality of life. This study aims to explore the intricate connections among perceptions of general health, physical and mental health, and overall quality of life…

Scientific Questions Being Studied

General health represents a multifaceted aspect comprising physical, mental, and social well-being, along with overall quality of life. This study aims to explore the intricate connections among perceptions of general health, physical and mental health, and overall quality of life within participants enrolled in the NIH's All of Us Research Program.

Quality of life, influenced by various factors such as mental health, race, and gender, is a complex concept. This study conducts a detailed examination of the intricate relationships among these variables and their effects on individuals' well-being. Drawing upon data from participants enrolled in the NIH’s All of Us Research Program, we analyze how mental health status, race, and gender intersect to shape perceptions of life satisfaction and overall well-being. Our findings reveal significant correlations between mental health status and quality of life, particularly evident across diverse racial and gender demographics.

Project Purpose(s)

  • Population Health
  • Social / Behavioral

Scientific Approaches

Only participants providing valid responses to both dependent and independent variables were included in the sample. Multivariable logistic regression, Pearson chi-square tests, and Kruskal-Wallis rank sum test in R were utilized to assess differences in perceptions of general health, physical and mental health, quality of life, and other demographic variables considered as covariates.

Only participants providing valid responses to both the dependent and all independent variables were included in the analysis sample. Using R, multivariable logistic regression, Pearson chi-square tests, and Kruskal-Wallis rank sum test were conducted to explore disparities in the perception of quality of life, mental health perceptions, and other demographic factors considered as covariates.

Anticipated Findings

Anticipated findings were unclear as this project was exploratory in nature.

These findings offer a comprehensive insight into the factors influencing perceptions of general health. Further analysis, particularly on the interplay between mental health and general quality of life, could provide additional understanding.

The results provide a broad understanding of the factors influencing perceptions of quality of life. Additionally, our identification of disparities in quality-of-life measures highlights the nuanced experiences of various demographic groups. These findings underscore the importance of implementing targeted interventions and policies aimed at enhancing overall well-being and promoting equity in health outcomes.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Food Insecurity

How many people experience food insecurity? How many people never have? Are there prominent/more significant groups that are more likely to experience food insecurity?

Scientific Questions Being Studied

How many people experience food insecurity? How many people never have? Are there prominent/more significant groups that are more likely to experience food insecurity?

Project Purpose(s)

  • Population Health

Scientific Approaches

This study plans to look at individuals who've had some food insecurity vs people who've never experienced food insecurity. This is based on two questions from the "Social Determinates of Health" survey. We will look at the demographics of this sample and responses from The Basics survey. This study plans to make total tables and calculate p values.

Anticipated Findings

As this study is exploratory in nature, the expected results are unknown. This project is made to inform community members on topics of interest/concern. This project is made as an initial exploratory analysis to invite people from the community to investigate and conduct further research on the workbench. This project in particular is useful to identify groups that might experience food insecurity more. In turn, food banks and others can be well informed on what populations they should connect with to offer the most help to individuals in need.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • Piyush Chaudhari - Project Personnel, University of Florida

Insomnia participants with cannabis usage

Determine the prevalence of substance usage (cannabis, alcohol, and smoking use) and average pain level among individuals with insomnia.

Scientific Questions Being Studied

Determine the prevalence of substance usage (cannabis, alcohol, and smoking use) and average pain level among individuals with insomnia.

Project Purpose(s)

  • Disease Focused Research (Insomnia)

Scientific Approaches

Our study includes adults diagnosed with insomnia who've answered the surveys of interest (The Basics, Lifestyle, and Overall Health). We intend to look only at participants who've answered the frequency of cannabis usage (for past 3 months of cannabis use at the time of the Lifestyle survey). We intend to predict this frequency based on variables that might be correlated. Variables of interest include cigarettes smoking frequency, number of years someone has smoked cigs, they're overall average pain level, how often they've had six or more drinks, and sociodemographic factors. Descriptive statistics are going to be conducted to characterize our sample. Associations will be explored using logistic regressions.

Anticipated Findings

The anticipated findings of this study are unknown, as this project is exploratory in nature. But the resulting information will guide research and intervention to individuals whom use substances and have insomnia.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

Collaborators:

  • Ruina He - Project Personnel, University of Florida
  • Hanzhi Gao - Research Fellow, University of Florida
  • Catalina Lopez-Quintero - Early Career Tenure-track Researcher, University of Florida
  • Vijaya Seegulam - Graduate Trainee, University of Florida

Duplicate of ADHD

What percentage of people take medication for ADHD? What is they're average age at first diagnosis? and what state do these people diagnosed reside? These questions are important to inform local communities, as well as help create ideas of thought…

Scientific Questions Being Studied

What percentage of people take medication for ADHD? What is they're average age at first diagnosis? and what state do these people diagnosed reside?
These questions are important to inform local communities, as well as help create ideas of thought for future research questions.

Project Purpose(s)

  • Disease Focused Research (attention deficit hyperactivity disorder)

Scientific Approaches

The relationship of variables in relation to someone diagnosed with ADHD will be explored.
Variables of interest include: State of residence; Age when diagnosed; If they've ever taken Medication such as- Adderall, Ritalin, Both, or None.
Other variables of interest were responses to: Gender, Race, Ethnicity, and Sex at Birth. Group totals and percentages will be calculated along with averages.

Anticipated Findings

This research can aid in informative discussions in the community as well as recruit community researchers and potential areas of interest in further research. The results of this study are exploratory and predictive results are unknown at this time.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • Piyush Chaudhari - Project Personnel, University of Florida

AoU-MH

Working with workbench and figuring out analysis. Trying to look at pain variables and how demographics affect them.

Scientific Questions Being Studied

Working with workbench and figuring out analysis. Trying to look at pain variables and how demographics affect them.

Project Purpose(s)

  • Other Purpose (Working with workbench and figuring out analysis)

Scientific Approaches

Working with workbench and figuring out analysis. Trying to look at pain variables and how demographics affect them.

Anticipated Findings

Working with workbench and figuring out analysis. Trying to look at pain variables and how demographics affect them. Just a test run

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Duplicate of Opioid Use Patterns among Older Adults

The primary scientific question centers around understanding the epidemiological patterns of lifetime nonmedical opioid use in older adults. This exploration is crucial due to the escalating prevalence of use in the context of the ongoing opioid epidemic. It is vital…

Scientific Questions Being Studied

The primary scientific question centers around understanding the epidemiological patterns of lifetime nonmedical opioid use in older adults. This exploration is crucial due to the escalating prevalence of use in the context of the ongoing opioid epidemic. It is vital to unravel the intricate relationships in nonmedical prescription opioid use among older adults, addressing the unique challenges this demographic faces in terms of substance use. This research is pivotal for informing public health interventions tailored to the distinctive needs of older adults and mitigating potential health risks associated with substance use.

Project Purpose(s)

  • Disease Focused Research (Substance Use Disorders/Psychiatric Disorders)
  • Population Health
  • Social / Behavioral

Scientific Approaches

A comprehensive and multidimensional approach will be adopted to address the research question. Utilizing the All of Us Research Program dataset, prevalence estimation and descriptive analyses will characterize older adults engaged in opioid use. Temporal trends will be considered for a nuanced understanding of evolving usage patterns. Advanced statistical methods, such as logistic regression, will identify demographic and health-related correlates, unveiling the strength and direction of associations between substance use and various factors. The analysis will be stratified based on age, gender, race, and geographical location to discern potential variations and disparities within diverse demographic subgroups. This approach ensures a holistic exploration of the epidemiological landscape surrounding opioid use in older adults.

Anticipated Findings

The anticipated findings aim to provide a detailed understanding of the prevalence rates and usage patterns of opioid use in older adults. By uncovering the intricate relationships of use, the study contributes valuable insights into the unique challenges faced by older adults and the potential health implications associated with substance use. This research enhances the body of scientific knowledge in the field by addressing a critical knowledge gap and informing evidence-based interventions. The findings will have implications for public health strategies, ensuring they are tailored to the specific needs of older adults and fostering a more informed and effective approach to managing opioid use in this demographic.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Sex at Birth
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

ADHD

What percentage of people take medication for ADHD? What is they're average age at first diagnosis? and what state do these people diagnosed reside? These questions are important to inform local communities, as well as help create ideas of thought…

Scientific Questions Being Studied

What percentage of people take medication for ADHD? What is they're average age at first diagnosis? and what state do these people diagnosed reside?
These questions are important to inform local communities, as well as help create ideas of thought for future research questions.

Project Purpose(s)

  • Disease Focused Research (attention deficit hyperactivity disorder)

Scientific Approaches

The relationship of variables in relation to someone diagnosed with ADHD will be explored.
Variables of interest include: State of residence; Age when diagnosed; If they've ever taken Medication such as- Adderall, Ritalin, Both, or None.
Other variables of interest were responses to: Gender, Race, Ethnicity, and Sex at Birth. Group totals and percentages will be calculated along with averages.

Anticipated Findings

This research can aid in informative discussions in the community as well as recruit community researchers and potential areas of interest in further research. The results of this study are exploratory and predictive results are unknown at this time.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • Zoe Lohse - Project Personnel, University of Florida

Barriers to Care for Adults who use Substances

Adults who report frequent binge drinking are at high risk of social and health problems. Screening at primary care appointments and other medical appointments can help identify adults reporting risky binge drinking and refer them to interventions to help reduce…

Scientific Questions Being Studied

Adults who report frequent binge drinking are at high risk of social and health problems. Screening at primary care appointments and other medical appointments can help identify adults reporting risky binge drinking and refer them to interventions to help reduce binge drinking frequency. However, there may be barriers to even accessing a primary care provider to receive screening. Therefore, this study will examine how different types of barriers are associated with sociodemographic factors among adults reporting frequent binge drinking episodes.

Project Purpose(s)

  • Population Health
  • Social / Behavioral

Scientific Approaches

This study will use data from adults (18+) who report binge drinking at least weekly. From this subsample, participants who reported they had not visited a healthcare provider for at least 12 months will be selected for a final sample of adults, who haven't visited a healthcare provider in at least a year, reporting at least weekly binge drinking. Participants reported reasons for not seeing a healthcare provider that will be organized into structural reasons (e.g. transportation, rurality), attitudinal (e.g. nervous), competing social roles (e.g. finding childcare, eldercare), and financial reasons. Sociodemographic factors including age, sex, race/ethnicity, income, education, and health insurance will be examined to see which factors are associated with different types of reasons for not seeing a healthcare provider in the past 12 months. R will be used to conduct the analysis.

Anticipated Findings

Because this study is exploratory in nature, the researchers are unsure how the sociodemographic factors will predict reasons for not seeing a healthcare provider in the past 12 months. The findings of this study will be helpful for policymakers, researchers, and healthcare providers who are interested in improving screening for substance use problems by healthcare providers to identify adults at risk for social and health problems due to frequent binge drinking.

Demographic Categories of Interest

  • Geography
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • Ruina He - Project Personnel, University of Florida
  • Piyush Chaudhari - Project Personnel, University of Florida
  • Catalina Lopez-Quintero - Early Career Tenure-track Researcher, University of Florida

Identifying Prevalent Indicators of Depression

This studies specific scientific question is: What are the most common/relevant indicators for identifying someone with depression/depressive disorder? This question is important because identifying individuals with these more prevalent traits, could help clinicians and others provide resources and help to…

Scientific Questions Being Studied

This studies specific scientific question is: What are the most common/relevant indicators for identifying someone with depression/depressive disorder? This question is important because identifying individuals with these more prevalent traits, could help clinicians and others provide resources and help to individuals whom might be struggling with depression.

Project Purpose(s)

  • Disease Focused Research (major depressive disorder)
  • Population Health
  • Educational

Scientific Approaches

This study intends to look at individuals with Depression (Depressive disorder) and identify key groups/signs exhibited by individuals with depression. These factors include (cardiovascular disease, lack/overconsumption of sleep, etc).Contingency tables, a logistic regression model, and cofounder tests will be conducted.

Anticipated Findings

The anticipated findings of this study are unknown, as this study is exploratory. But the findings of this study will help identify groups that are more likely to have depressive disorder. By identifying these more prevalent indicators of depression, clinicians and other health workers can provide help and resources to groups that otherwise might be struggling with depression in silence.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • Piyush Chaudhari - Project Personnel, University of Florida

BMI

After calculating the BMI of participants and using a BMI scale, how do they respond to the "Overall Health" survey questions? Are these individuals more/less likely to be diagnosed with certain health conditions from they're doctor?

Scientific Questions Being Studied

After calculating the BMI of participants and using a BMI scale, how do they respond to the "Overall Health" survey questions? Are these individuals more/less likely to be diagnosed with certain health conditions from they're doctor?

Project Purpose(s)

  • Disease Focused Research (obesity)
  • Population Health
  • Social / Behavioral

Scientific Approaches

This study plans to calculate BMI based on the weight and height given in the physical measurements section. We will look at the demographics of this sample. How they responded to the "Overall Health" survey questions. And which health conditions (such as obsesity and more) these different BMI categories might be diagnosed with. This study plans to make total tables and calculate p values.

Anticipated Findings

As this study is exploratory in nature, the expected results are unknown. This could help see identify and inform populations that might be more at risk for certain health conditions.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • Zoe Lohse - Project Personnel, University of Florida

Duplicate of Insomnia participants with cannabis usage

Determine the prevalence of substance usage (cannabis, alcohol, and smoking use) and average pain level among individuals with insomnia.

Scientific Questions Being Studied

Determine the prevalence of substance usage (cannabis, alcohol, and smoking use) and average pain level among individuals with insomnia.

Project Purpose(s)

  • Disease Focused Research (Insomnia)

Scientific Approaches

Our study includes adults diagnosed with insomnia who've answered the surveys of interest (The Basics, Lifestyle, and Overall Health). We intend to look only at participants who've answered the frequency of cannabis usage (for past 3 months of cannabis use at the time of the Lifestyle survey). We intend to predict this frequency based on variables that might be correlated. Variables of interest include cigarettes smoking frequency, number of years someone has smoked cigs, they're overall average pain level, how often they've had six or more drinks, and sociodemographic factors. Descriptive statistics are going to be conducted to characterize our sample. Associations will be explored using logistic regressions.

Anticipated Findings

The anticipated findings of this study are unknown, as this project is exploratory in nature. But the resulting information will guide research and intervention to individuals whom use substances and have insomnia.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

Collaborators:

  • Samantha Stewart Bell - Project Personnel, All of Us Program Operational Use
  • Ruina He - Project Personnel, University of Florida
  • Piyush Chaudhari - Project Personnel, University of Florida
  • Hanzhi Gao - Research Fellow, University of Florida
  • Catalina Lopez-Quintero - Early Career Tenure-track Researcher, University of Florida
  • Vijaya Seegulam - Graduate Trainee, University of Florida

Opioid and cannabis users for Vijaya

Vijaya's research question: Correlates and mental health outcomes of persons who use prescription opioids and cannabis.

Scientific Questions Being Studied

Vijaya's research question: Correlates and mental health outcomes of persons who use prescription opioids and cannabis.

Project Purpose(s)

  • Population Health
  • Social / Behavioral

Scientific Approaches

Our study includes adults who've indicated lifetime use of cannabis and lifetime use of opioids. The surveys of interest are The Basics, Lifestyle, and Overall Health.

Anticipated Findings

The anticipated findings of this study are unknown, as this project is exploratory in nature. But the resulting information will guide hypothesis development for further research on the effects of opioid and cannabis use on mental health.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

Collaborators:

  • Ruina He - Project Personnel, University of Florida
  • Piyush Chaudhari - Project Personnel, University of Florida
  • Catalina Lopez-Quintero - Early Career Tenure-track Researcher, University of Florida

prescription opioids and alcohol use

the overlap of people who take prescription opioids and use alcohol in personal medical history survey.

Scientific Questions Being Studied

the overlap of people who take prescription opioids and use alcohol in personal medical history survey.

Project Purpose(s)

  • Disease Focused Research (alcohol use)

Scientific Approaches

We plan to look at the diversity of our sample (age, gender, and sex). We plan to create total tables.

Anticipated Findings

This will help with prevention and intervention. This study is exploratory in nature, so predictive results are unknown.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • Zoe Lohse - Project Personnel, University of Florida

Fitbit REM Sleep- Relations to Substance Use and Personal/Family Health History

We intend to study participants with Fitbit REM sleep. Associations of substance use and brain and nervous system conditions will be related. This is relevant to individuals and communities who might suffer from sleep conditions to get them resources they…

Scientific Questions Being Studied

We intend to study participants with Fitbit REM sleep. Associations of substance use and brain and nervous system conditions will be related. This is relevant to individuals and communities who might suffer from sleep conditions to get them resources they need.

Project Purpose(s)

  • Population Health

Scientific Approaches

We intend to look participants with Fitbit Sleep summary data. Of these individuals we are interested in a comparison study with participants who achieved more\less then average amounts of REM sleep. We will look at correlations from survey questions related to substance use & personal/family health history (like brain and nervous system conditions). Statistical methods such as tabling, a logistic regression model, and corresponding odds ratios & confidence intervals will be preformed.

Anticipated Findings

Because this study is exploratory in nature, the researchers are unsure of the results. But the findings could be helpful to prevent and provide intervention to groups who might suffer form lack of REM sleep.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Duplicate of How to Work With Wearable Device Data (v7)

We recommend that all researchers explore the notebooks in this workspace to learn the basics of how to work with Fitbit data, which is the first pilot of wearable device data currently available within the All of Us Registered Tier…

Scientific Questions Being Studied

We recommend that all researchers explore the notebooks in this workspace to learn the basics of how to work with Fitbit data, which is the first pilot of wearable device data currently available within the All of Us Registered Tier dataset. What should you expect? This notebook will give an overview characterization of the Fitbit data elements currently available in the current Curated Data Repository (CDR) and provide best practices and tips for how to retrieve them.

Project Purpose(s)

  • Educational
  • Methods Development
  • Other Purpose (This is an All of Us Tutorial Workspace. It is meant to provide instruction for key Researcher Workbench components and All of Us data representation.)

Scientific Approaches

This Tutorial Workspace contains one Jupyter Notebook written in Python. The notebook contains information on how to extract and work with the current set of All of Us Fitbit data. What are the anticipated findings from the study? How would your findings contribute to the body of scientific knowledge in the field? By reading and running the notebook in this Tutorial Workspace, researchers will learn how to query information about steps, heart rate, and daily activity summary.

Anticipated Findings

By reading and running the notebook in this Tutorial Workspace, researchers will understand how to work with Fitbit CDR data from the workbench. They will learn how to query information about steps, heart rate, and daily activity summary.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

Duplicate of How to Work with All of Us Genomic Data (Hail - Plink)(v7)

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Scientific Questions Being Studied

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Project Purpose(s)

  • Other Purpose (Demonstrate to the All of Us Researcher Workbench users how to get started with the All of Us genomic data and tools. It includes an overview of all the All of Us genomic data and shows some simple examples on how to use these data.)

Scientific Approaches

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Anticipated Findings

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Transgender demographic distributions among All of Us participants

We intend to study the demographic distribution and diversity of transgender participants within the All of Us dataset. This is relevant to researchers interested in topics surrounding Gender Studies. Here we will see the distribution and sample size of potential…

Scientific Questions Being Studied

We intend to study the demographic distribution and diversity of transgender participants within the All of Us dataset. This is relevant to researchers interested in topics surrounding Gender Studies. Here we will see the distribution and sample size of potential populations of focus. This is to compare All of Us transgender demographic statistics to other transgender specific studies. This will show researchers the diversity of the All of Us sample size and where differences in population distribution may lie.

Project Purpose(s)

  • Control Set

Scientific Approaches

This study will use data from transgender individuals. From this subsample, we are interested in demographic variables (such as age, education level, income, race, ethnicity, etc.) to determine population distribution and diversity within All of Us data. Totals and percentages of distributions will be created.

Anticipated Findings

Because this study is exploratory in nature, the researchers are unsure of the distribution and diversity of demographics among transgender individuals. These results will help provide accurate distributions of All of Us transgender demographics in comparison to other transgender focused studies, such as "US Trans Survey", "Trans Pop", and "BRFSS" data. The findings of this study will be helpful to researchers interested in Gender Studies to see the diversity within their sample size.

Demographic Categories of Interest

  • Gender Identity

Data Set Used

Controlled Tier

Research Team

Owner:

Duplicate of How to run WDLs using Cromwell in the Researcher Workbench (v7)

The purpose of this workspace is to demonstrate how to use Cromwell within the Researcher Workbench. This workspace will demonstrate writing a WDL script to validate VCF files.

Scientific Questions Being Studied

The purpose of this workspace is to demonstrate how to use Cromwell within the Researcher Workbench. This workspace will demonstrate writing a WDL script to validate VCF files.

Project Purpose(s)

  • Educational

Scientific Approaches

The purpose of this workspace is to demonstrate how to use Cromwell within the researcher workbench. This workspace will demonstrate writing a WDL script to validate VCF files.

Anticipated Findings

N/A

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Insomnia among All of Us partners

This study will examine people diagnosed with insomnia. It will identify certain social, demographic, and economic indicators reported more frequently among participants diagnosed with insomnia. These indicators will be identified in comparison with other individuals not diagnosed with insomnia. This…

Scientific Questions Being Studied

This study will examine people diagnosed with insomnia. It will identify certain social, demographic, and economic indicators reported more frequently among participants diagnosed with insomnia. These indicators will be identified in comparison with other individuals not diagnosed with insomnia. This is important to public health to better indicate groups of focus who might need sleep education and/or treatment related to insomnia.

Project Purpose(s)

  • Disease Focused Research (Insomnia)
  • Population Health
  • Social / Behavioral

Scientific Approaches

This study will include participants who were medically diagnosed with and without insomnia. Next, we plan to identify associations among age, gender, race/ethnicity, education level, access to health insurance, and food insecurity in relation to insomnia. Then plan to use logistic regression to identify significant indicators, and identify odds ratios & they're corresponding confidence intervals.

Anticipated Findings

It is unknown which indicators at this time will report higher rates, as this is an exploratory analysis. But our findings will help better identify groups that might suffer from insomnia; in order to provide better education and treatment to these individuals that might suffer from sleep-related problems.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Education Level

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • Piyush Chaudhari - Project Personnel, University of Florida
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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.