Publications by authors named "Michelle L Odlum"
Article Synopsis
- Physical inactivity is a public health issue, and understanding individual differences in physical activity (PA) can help design better interventions.
- The study analyzed accelerometer data from 133 urban adults to identify four distinct activity patterns or "phenotypes" based on their daily PA trends.
- Findings revealed unique characteristics for each phenotype, such as different peak activity times and overall activity levels, suggesting that tailored interventions could be more effective.
Article Synopsis
- - The study aimed to categorize sleep disturbances in Latinx adults using objective sleep data and a flexible machine learning technique to identify different sleep disturbance subtypes or "phenotypes."
- - Researchers analyzed sleep data from 118 Latinx adults (ages 19-77) using wrist-mounted accelerometers, identifying three distinct phenotypes based on sleep quality metrics like sleep efficiency and wake after sleep onset.
- - The findings suggest that advanced data modeling can effectively uncover sleep patterns in diverse populations, aiding in the development of targeted strategies for better sleep health management and early detection of issues.
Health Insurance Coverage Mandates: Colorectal Cancer Screening in the Post-ACA Era.
Cancer Prev Res (Phila)
January 2021
Building a culture of precision public health requires research that includes health delivery model with innovative systems, health policies, and programs that support this vision. Health insurance mandates are effective mechanisms that many state policymakers use to increase the utilization of preventive health services, such as colorectal cancer screening. This study estimated the effects of health insurance mandate variations on colorectal cancer screening post Affordable Care Act (ACA) era.
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