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The Sleep After Breast Cancer (ABC) Study - Examining Sleep Changes and Biomarkers Among Breast Cancer Patients

The Sleep After Breast Cancer (ABC) Study - Examining Sleep Changes and Biomarkers Among Breast Cancer Patients

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07341503
Enrollment
100
Registered
2026-01-14
Start date
2025-08-18
Completion date
2026-12-31
Last updated
2026-01-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Anatomic Stage I Breast Cancer AJCC v8, Anatomic Stage II Breast Cancer AJCC v8, Anatomic Stage III Breast Cancer AJCC v8, Breast Carcinoma, Hormone Receptor-Positive Breast Carcinoma

Brief summary

This study is being done to learn more about breast cancer patients' experiences with sleep changes during cancer treatment, identify possible reasons for poor sleep quality, and to find out how stress, social support, and living environment affect sleep.

Detailed description

PRIMARY OBJECTIVES: I. Characterize longitudinal trends in sleep among BC patients from treatment through survivorship, overall and by race, ethnicity, and underserved communities (rural, urban, Appalachian) using actigraphy-assessed sleep duration (Aim 1a), and self-reported sleep quality (Aim 1b). II. Identify risk factors (sociodemographic, clinical treatment, social support, built environment) associated with sleep duration and sleep quality over time. III. Assess how sleep duration and quality affect premature biological aging, stress, and inflammatory markers in BC patients from treatment to survivorship, overall and by race, ethnicity, and community. OUTLINE: This is an observational study. Patients undergo collection of cheek swab, saliva, and hair samples, wear a wrist sleep tracking device, and complete surveys throughout the study. Additionally, patients have their medical records reviewed on study.

Interventions

OTHERNon-Interventional Study

Non-interventional study

Sponsors

American Association for Cancer Research
CollaboratorOTHER
Ohio State University Comprehensive Cancer Center
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* \* Age \>= 18 years old at time of breast cancer diagnosis * Stage I to III breast cancer diagnosis * Hormone receptor positive breast cancers * Post primary surgery, before chemotherapy/radiation therapy begins * No known evidence of breast cancer recurrence (local or distant) or second, primary cancer * No prior history of new other malignancy since their breast cancer diagnosis (other than non-melanoma skin cancer) * Able to speak, understand and read English * Cognitively able to complete the study requirements * Ability to access medical records from treating hospital

Exclusion criteria

* \* Stage IV or metastatic breast cancer * Not cognitively able to provide informed consent * Not willing to provide informed consent

Design outcomes

Primary

MeasureTime frameDescription
Total sleep durationThrough study completion, an average of 9 monthsWill 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 monthsSleep 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).

Countries

United States

Contacts

Primary ContactThe Ohio State University Comprehensive Cancer Center
OSUCCCClinicaltrials@osumc.edu800-293-5066

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026