Elizabeth Karlson

Late Career Tenured Researcher, Mass General Brigham

4 active projects

obesity_mansucript_rerun

National obesity prevention and intervention strategies may benefit from precision medicine approaches that incorporate integrated data on environments, social determinants of health, and genomic factors. We examined the quality and utility of the All of Us Research Hub Workbench for…

Scientific Questions Being Studied

National obesity prevention and intervention strategies may benefit from precision medicine approaches that incorporate integrated data on environments, social determinants of health, and genomic factors. We examined the quality and utility of the All of Us Research Hub Workbench for accelerating precision medicine by replicating methods from existing studies that examine the prevalence of obesity at the population level. We evaluated the measurements of obesity in the participant measurement (PM) data set and the electronic health record (EHR) data set using methods similar to the Ward et al. NEJM December 2019 publication that assessed prevalence of obesity in the US by state using BRFSS data.

Project Purpose(s)

  • Disease Focused Research (obesity)
  • Educational
  • Methods Development
  • Other Purpose (This work is the result of an All of Us Research Program Demonstration Project. Demonstration Projects are efforts by the All of Us Research Program designed to meet the goal of ensuring the quality and utility of the Research Hub as a resource for accelerating precision medicine. This work has been approved, reviewed, and overseen by the All of Us Research Program Science Committee and Data and Research Center to ensure compliance with program policy.)

Scientific Approaches

For this population-based cross-sectional study of All of Us Research Workbench participants, we excluded individuals with measurements obtained during pregnancy or inpatient visits and individuals from states with fewer than 100 participants. Physical measurements (PM) of height and weight at the time of program enrollment of 142,116 participants and measured weight and height extracted from electronic health records (EHR) of 40,885 individuals were used to calculate body-mass index (BMI). We did a complete case analysis for All of Us participants with known sex (male or female), race, income and education levels and estimated state-specific and demographic subgroup-specific prevalence of categories of BMI [obesity (BMI ≥30) and extreme obesity (BMI ≥ 35)] nationwide and for each state: overall and by subgroups, male and female. We examined the difference between EHR and PM calculated BMI by state.

Anticipated Findings

Using states with at least 100 participants, PM data included 142,116 individuals (mean [SD] age, 51.2 [16.6] and EHR data on height and weight included 40,885 individuals (mean [SD] age, 52.5 [16.5]. The median BMI for PM participants was 28.4 [24.4 to 33.7]; the median BMI for EHR was 29.0 [24.8 to 34.5]. The PM national prevalence for obesity (includes BMI>30 and BMI >35) and extreme obesity (BMI >35) were 41.2 % (95% Confidence Interval [CI], 40.9 to 41.4) and 20.8% (95% CI, 20.6 to 21.0), respectively, with large variations across states. Women had higher prevalence of extreme obesity than men in all selected states. Subgroups with extreme obesity (BMI, >35) prevalence greater than 25% included subgroup, N, prevalence %, (95% CI): Black NH, 8913, 28.9 (25.8 to 32.0) , individuals with income less than $25,000, 13,244, 25.1 (22.1 to 28.1); education of high school to some college, 17, 272, 26.1 (23.1 to 29.1) and the region of the South, 6,639, 25.3 (22.3 to 28.3).

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Education Level
  • Income Level

Research Team

Owner:

Collaborators:

  • Francis Ratsimbazafy - Other, All of Us Program Operational Use
  • Karthik Natarajan - Other, All of Us Program Operational Use

HTN

What is the prevalence of hypertension (HTN) defined using an electronic health record definition from eMERGE among UBR groups defined by race/ethnicity, income and education? Do treatment patterns for HTN (using medication sequencing analysis) vary by UBR groups defined by…

Scientific Questions Being Studied

What is the prevalence of hypertension (HTN) defined using an electronic health record definition from eMERGE among UBR groups defined by race/ethnicity, income and education?

Do treatment patterns for HTN (using medication sequencing analysis) vary by UBR groups defined by race/ethnicity, income and education, and in geographic regions based on grouping states?

Project Purpose(s)

  • Disease Focused Research (hypertension)

Scientific Approaches

Not available.

Anticipated Findings

There may be disparities in HTN across racial and income groups of policy interest.

Demographic Categories of Interest

  • Income Level

Research Team

Owner:

Collaborators:

  • Francis Ratsimbazafy - Other, All of Us Program Operational Use
  • Andrea Ramirez - Other, All of Us Program Operational Use

BWH_HTN

What is the prevalence of hypertension (HTN) defined using an electronic health record definition from eMERGE among UBR groups defined by race/ethnicity, income and education? Do treatment patterns for HTN (using medication sequencing analysis) vary by UBR groups defined by…

Scientific Questions Being Studied

What is the prevalence of hypertension (HTN) defined using an electronic health record definition from eMERGE among UBR groups defined by race/ethnicity, income and education?

Do treatment patterns for HTN (using medication sequencing analysis) vary by UBR groups defined by race/ethnicity, income and education, and in geographic regions based on grouping states?

Project Purpose(s)

  • Disease Focused Research (hypertension)

Scientific Approaches

Not available.

Anticipated Findings

There may be disparities in HTN across racial and income groups of policy interest.

Demographic Categories of Interest

  • Income Level

Research Team

Owner:

Breast cancer demo

That AoU has great data

Scientific Questions Being Studied

That AoU has great data

Project Purpose(s)

  • Educational

Scientific Approaches

Not available.

Anticipated Findings

xxx

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

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