Research Projects Directory

Research Projects Directory

10,560 active projects

This information was updated 4/25/2024

The Research Projects Directory includes information about all projects that currently exist in the Researcher Workbench to help provide transparency about how the Workbench is being used. Each project specifies whether Registered Tier or Controlled Tier data are used.

Note: Researcher Workbench users provide information about their research projects independently. Views expressed in the Research Projects Directory belong to the relevant users and do not necessarily represent those of the All of Us Research Program. Information in the Research Projects Directory is also cross-posted on AllofUs.nih.gov in compliance with the 21st Century Cures Act.

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1 project has 'Diversity within Eating Disorders' in the project title
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Diversity within Eating Disorders

We will explore sociodemographic variables (e.g., gender, sexual orientation, race/ethnicity) in relation to eating disorder diagnoses. We specifically are interested in disparities in the occurrence of eating disorder diagnoses, access to treatment, age of initial diagnosis, and associated distress and…

Scientific Questions Being Studied

We will explore sociodemographic variables (e.g., gender, sexual orientation, race/ethnicity) in relation to eating disorder diagnoses. We specifically are interested in disparities in the occurrence of eating disorder diagnoses, access to treatment, age of initial diagnosis, and associated distress and impairment. That is, are some sociodemographic groups more likely to receive a diagnosis of eating disorders, receive care, have varying age of initial diagnosis, and/or experience disproportionate distress/impairment, than other sociodemographic groups? These research questions are important, as there is limited research exploring intersecting identities within eating disorders.

Project Purpose(s)

  • Population Health

Scientific Approaches

Within the All of Us dataset V3, we will exact sociodemographic variables (gender, sexual orientation, race/ethnicity) eating disorder diagnosis and treatment, and items from the 'Overall Health' survey to assess distress/impairment and quality of life. Initially, descriptive statistics will be used to report the frequencies of eating disorder diagnoses and treatment as a function of the aforementioned sociodemographic variables. Should there be adequate statistical power, logistic regression models will be employed with sociodemographic variables set as 'predictors' of binary eating disorder 'outcomes.' Additionally, within individuals diagnosed with an eating disorder, we will examine sociodemographic differences in distress/impairment and quality of life via linear regression. Metrics of effect size estimates will also be reported. Should statistical power allow us, interaction terms by sociodemographic variables will also be tested.

Anticipated Findings

There is limited research on intersecting identities among individuals diagnosed with eating disorders. By employing the All of Us dataset, we may be able to identify health disparities in the occurrence of eating disorders and/or associated distress/impairment and quality of life. Results may help guide additional research efforts into understanding the mechanisms which may place some populations at disproportionate risk, which subsequently could lead to refined and tailored eating disorder prevention and treatment approaches.

Demographic Categories of Interest

  • Race / Ethnicity
  • Gender Identity
  • Sexual Orientation
  • Access to Care

Data Set Used

Registered Tier

Research Team

Owner:

  • Aaron Blashill - Mid-career Tenured Researcher, San Diego State University

Collaborators:

  • Melissa Simone - Research Fellow, University of Minnesota
  • Alexandra Convertino - Graduate Trainee, San Diego State University
  • Jamie-Lee Pennesi - Research Fellow, University of Louisville
  • Jonathan Helm - Early Career Tenure-track Researcher, San Diego State University
  • Autumn Askew - Project Personnel, University of Minnesota
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