Chen Hu

Graduate Trainee, University of Pittsburgh

3 active projects

MS and AD

I am exploring the data at this stage to identify the comorbid MS and AD. I hope to investigate the polygenicity of AD in MS population.

Scientific Questions Being Studied

I am exploring the data at this stage to identify the comorbid MS and AD. I hope to investigate the polygenicity of AD in MS population.

Project Purpose(s)

  • Disease Focused Research (multiple sclerosis)
  • Drug Development
  • Ancestry

Scientific Approaches

Datasets: EHR domain, genotype data
methods: investigate PGS in people with MS
tools: case-control, PGS

Anticipated Findings

We hypothesized that higher AD PGS is associated with increased odds for comorbid AD in MS. This study will boost further investigations into the possible use of PGS for assessing AD disorder risk in MS.

Demographic Categories of Interest

  • Race / Ethnicity

Data Set Used

Controlled Tier

Research Team

Owner:

  • Chen Hu - Graduate Trainee, University of Pittsburgh

Secondary Project Registered Tier

We aim to determine the prevalence and risk factors of chronic pain among adults in the US. While there is evidence that social determinants are critical determinants of pain experience and outcomes, there are still large gaps in knowledge regarding…

Scientific Questions Being Studied

We aim to determine the prevalence and risk factors of chronic pain among adults in the US. While there is evidence that social determinants are critical determinants of pain experience and outcomes, there are still large gaps in knowledge regarding the role social determinants may play in chronic pain sub-populations. That is, it is relatively unknown whether demographic and psychosocial risk factors differ by etiology of pain. This project has two aims: Aim 1: identify the prevalence of chronic pain and specific pain etiologies overall and in subpopulations determined by demographic, geographic, and SES; Aim 2: Assess whether social determinants and lifestyle factors are associated with specific pain diagnoses. A better understanding of the distribution and determinants of pain by pain diagnoses may elucidate patterns specific to pain etiology or pain generally and may lend insights into general and specific drivers of pain prevalence in a diverse population.

Project Purpose(s)

  • Educational

Scientific Approaches

Our approach will use traditional epidemiological and statistical methods. Demographic, geographic, socioeconomic, health characteristics, social determinants, lifestyle factors, and pain characteristics will be described and visualized using means, standard deviations, confidence intervals, frequencies, and percentages. Care will be taken to test assumptions, assess outliers, and select the most appropriate analytical test. Based on the distribution we will test differences between subgroups and test associations with the appropriate test, for example, multivariable logistic regression or nonparametric equivalent. If there is sufficient evidence supporting the hypothesized main effect, interactions will also be tested. We will also correct for multiple comparisons. The datasets of interest include survey questions (the basics, overall health, lifestyle, health care access and utilization, personal health history, social determinants of health), and EHR domains (condition).

Anticipated Findings

A major gap in the literature and an aim of this proposed project is to describe the prevalence, distribution, and determinants related to specific pain conditions in a diverse sample. This is descriptive in nature and will elucidate patterns that may inform future hypothesis-based questions about the characteristics driving chronic pain and chronic pain outcomes. This proposed descriptive analysis can add substantial insight into, currently unknown, patterns of pain and how this may differ by pain diagnosis.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Geography

Data Set Used

Registered Tier

Research Team

Owner:

  • Sindhu Karnam - Graduate Trainee, University of Pittsburgh
  • Chen Hu - Graduate Trainee, University of Pittsburgh

Secondary Data Project

We aim to determine the prevalence and risk factors of chronic pain among adults in the US. While there is evidence that social determinants are critical determinants of pain experience and outcomes, there are still large gaps in knowledge regarding…

Scientific Questions Being Studied

We aim to determine the prevalence and risk factors of chronic pain among adults in the US. While there is evidence that social determinants are critical determinants of pain experience and outcomes, there are still large gaps in knowledge regarding the role social determinants may play in chronic pain sub-populations. That is, it is relatively unknown whether demographic and psychosocial risk factors differ by etiology of pain. This project has two aims: Aim 1: identify the prevalence of chronic pain and specific pain etiologies overall and in subpopulations determined by demographic, geographic, and SES; Aim 2: Assess whether social determinants and lifestyle factors are associated with specific pain diagnoses. A better understanding of the distribution and determinants of pain by pain diagnoses may elucidate patterns specific to pain etiology or pain generally and may lend insights into general and specific drivers of pain prevalence in a diverse population.

Project Purpose(s)

  • Educational

Scientific Approaches

Our approach will use traditional epidemiological and statistical methods. Demographic, geographic, socioeconomic, health characteristics, social determinants, lifestyle factors, and pain characteristics will be described and visualized using means, standard deviations, confidence intervals, frequencies, and percentages. Care will be taken to test assumptions, assess outliers, and select the most appropriate analytical test. Based on the distribution we will test differences between subgroups and test associations with the appropriate test, for example, multivariable logistic regression or nonparametric equivalent. If there is sufficient evidence supporting the hypothesized main effect, interactions will also be tested. We will also correct for multiple comparisons. The datasets of interest include survey questions (the basics, overall health, lifestyle, health care access and utilization, personal health history, social determinants of health), and EHR domains (condition).

Anticipated Findings

A major gap in the literature and an aim of this proposed project is to describe the prevalence, distribution, and determinants related to specific pain conditions in a diverse sample. This is descriptive in nature and will elucidate patterns that may inform future hypothesis-based questions about the characteristics driving chronic pain and chronic pain outcomes. This proposed descriptive analysis can add substantial insight into, currently unknown, patterns of pain and how this may differ by pain diagnosis.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Geography

Data Set Used

Controlled Tier

Research Team

Owner:

  • Chen Hu - Graduate Trainee, University of Pittsburgh
1 - 3 of 3
<
>
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.