Judite Blanc

Early Career Tenure-track Researcher, University of Miami

1 active project

Social Determinants of Sleep Disorders in Multiethnic Sample

Studies show that social characteristics associated with good health, such as a high education level, marriage, and employment, are associated with healthier sleep health. Specifically, the present research project aims to investigate the following research question: "What is the relationship…

Scientific Questions Being Studied

Studies show that social characteristics associated with good health, such as a high education level, marriage, and employment, are associated with healthier sleep health.
Specifically, the present research project aims to investigate the following research question:
"What is the relationship between social determinants of health such as race/ethnicity, sex/gender, age, education level, income, insurance, location, and place of birth on sleep health diagnosis in US Adults?"
Investigating the social determinants of sleep disorders in the NIH All of Us Research Program is essential for understanding the underlying causes, addressing health disparities, designing effective interventions, understanding health comprehensively, and influencing policy decisions to promote healthy sleep behaviors and overall well-being.

Project Purpose(s)

  • Disease Focused Research (Sleep Disorders)
  • Population Health
  • Social / Behavioral

Scientific Approaches

Phecodes for diagnoses will derive from the ICD-9/10 billing codes in participants’ electronic health records (EHRs). We used 0 phecodes of the parent category of sleep disorders (insomnia and sleep apnea) (phecode 327) in a person’s EHR to classify individuals as not having a diagnosis and 2+ phecodes as having a diagnosis (those with only one instance in their EHR were dropped). A Longitudinal study using Logistic regression analysis will assess associations between sleep disorders and social determinants of health such as race/ethnicity, sex/gender, age, education level, income, insurance, location, and place of birth level using the R statistical framework.

Anticipated Findings

Among All Of Us populations, we hypothesize that participants from low-income communities, women, and those without insurance will be less likely to have recorded insomnia or sleep apnea diagnoses. Potential within-group differences could be due to self-reported versus clinically recorded diagnoses and access to healthcare.
Our findings will contribute to advanced data on which subcategory of the population is more affected by sleep health disparities, the impact of healthcare coverage on sleep health, designing effective sleep health interventions, and influencing policy decisions to promote sleep health equity.

Demographic Categories of Interest

  • Race / Ethnicity
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

  • Peter Barr - Other, Virginia Commonwealth University
  • Judite Blanc - Early Career Tenure-track Researcher, University of Miami

Collaborators:

  • Peter Barr - Early Career Tenure-track Researcher, SUNY Downstate Health Sciences University
  • tim bigdeli - Early Career Tenure-track Researcher, SUNY Downstate Health Sciences University
  • Alireza Abdshah - Project Personnel, University of Miami
  • Rhoda Moise - Early Career Tenure-track Researcher, University of Miami
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