The Sleep After Breast Cancer (ABC) Study
This study, called "The Sleep After Breast Cancer (ABC) Study," is looking at how sleep changes for people with breast cancer during their treatment. Researchers want to understand why some people sleep poorly and how things like stress, social support, and where you live might affect your sleep. They will also see how sleep affects biological aging and inflammation. You might be able to join if you are at least 18 years old, have Stage I to III hormone receptor-positive breast cancer, and have finished your primary surgery but haven't started chemotherapy or radiation. The study aims to enroll 100 participants and will measure your total sleep duration and self-reported sleep quality over about 9 months.
- Study design
- This is an observational study, meaning no new treatments are given. It plans to include 100 participants.
- What's involved
- You would provide cheek swab, saliva, and hair samples, wear a wrist sleep tracking device, and complete surveys. Your medical records would also be reviewed.
- Compensation
- Not stated in the trial record.
- Follow-up
- Your sleep duration and quality will be measured through study completion, an average of 9 months.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
The Sleep After Breast Cancer (ABC) Study - Examining Sleep Changes and Biomarkers Among Breast Cancer Patients
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Electra Paskett, MSPH, PhD, FAACR · PRINCIPAL_INVESTIGATOR · Ohio State University Comprehensive Cancer Center
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Total sleep durationThrough study completion, an average of 9 months
Will report descriptive statistics of the sample characteristics using counts and percentages or means and standard deviations. Actigraphy from the sleep watch (GENEActiv device) will be scored and analyzed using validated algorithms within the Activeinsights software (Activinsights, UK). Daily and weekly summaries of sleep statistics will be averaged to generate person-level data for analysis at each time point. a paired t-test to compare T1 sleep duration (pre-treatment) to T3 (treatment completion) sleep duration using SAS PROC POWER.
- Self-reported sleep quality (PROMIS)Through study completion, an average of 9 months
Sleep quality (as measured by the PROMIS) will be considered as a continuous variable and categorized into 'poor quality' if patients have a score of \>= 5 and 'good quality' if \< 5 points. Locally weighted scatterplot smoothing will be used to estimate a smooth trend through the sleep data points (sleep duration, sleep quality). Generalized linear mixed models will be used to examine changes in sleep over time (treatment through survivorship).