Margaret Moakley
Project Personnel, All of Us Researcher Academy/RTI International
2 active projects
CDR7- Analysis of demographic representation in Fitbit data
Scientific Questions Being Studied
This workspace will be used to analyze how well participants who are contributing FitBit data to All of Us represent the demographics of the U.S. as a whole. Wearable data collection, such as FitBits, can be highly useful for collecting high-quality health data but studies that use wearables often lack diversity. As diversity and equity are foundational to All of Us, it is important to evaluate how well they are being upheld on all fronts of data collection.
Project Purpose(s)
- Population Health
- Educational
- Methods Development
Scientific Approaches
Demographic representation will be assessed using a Participation to Prevalence Ratio (PPR) for the following characteristics:
- Race
- Ethnicity
- Gender/gender identity
- Age
- Rurality
- Income level
PPR will be calculated for both the general U.S. population and the participant population for All of Us as a whole (beyond only FitBit participants).
Anticipated Findings
Anticipated findings include any discrepancies between the FitBit participant population characteristics and the U.S. general population or the All of Us general participant population. Understanding where representation may be lacking can help researchers better understand equity considerations for large, longitudinal cohort studies that use wearable devices to collect data.
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 TierResearch Team
Owner:
- Margaret Moakley - Project Personnel, All of Us Researcher Academy/RTI International
Analysis of demographic representation in Fitbit data
Scientific Questions Being Studied
This workspace will be used to analyze how well participants who are contributing FitBit data to All of Us represent the demographics of the U.S. as a whole. Wearable data collection, such as FitBits, can be highly useful for collecting high-quality health data but studies that use wearables often lack diversity. As diversity and equity are foundational to All of Us, it is important to evaluate how well they are being upheld on all fronts of data collection.
Project Purpose(s)
- Population Health
- Educational
- Methods Development
Scientific Approaches
Demographic representation will be assessed using a Participation to Prevalence Ratio (PPR) for the following characteristics:
- Race
- Ethnicity
- Gender/gender identity
- Age
- Rurality
- Income level
PPR will be calculated for both the general U.S. population and the participant population for All of Us as a whole (beyond only FitBit participants).
Anticipated Findings
Anticipated findings include any discrepancies between the FitBit participant population characteristics and the U.S. general population or the All of Us general participant population. Understanding where representation may be lacking can help researchers better understand equity considerations for large, longitudinal cohort studies that use wearable devices to collect data.
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Gender Identity
- Geography
- Access to Care
- Education Level
- Income Level
Data Set Used
Registered TierResearch Team
Owner:
- Margaret Moakley - Project Personnel, All of Us Researcher Academy/RTI International
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.
