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Association Between Screen Exposure and Insomnia Among Patients With Breast Cancer: Cross-Sectional Study
Lumin Liu1, Ming Yang2, Meina Ye3
1Sleep Medicine Center, Longhua Hospital Shanghai University of Traditional Chinese Medicine, 725 South Wanping Road, Shanghai, 200032, China, 86 18917561621.
Journal of Medical Internet Research
|July 23, 2026
Summary
Breast cancer patients experiencing insomnia show increased screen time. Reducing presleep screen exposure may improve sleep quality in supportive oncology care.
Area of Science:
- Oncology
- Sleep Medicine
- Behavioral Science
Background:
- Insomnia is highly prevalent in breast cancer patients, more so than in other cancer types.
- The impact of screen time on sleep disruption in breast cancer patients is understudied, especially concerning perceived stigma.
- Understanding screen time's role is crucial for managing sleep disturbances in this population.
Purpose of the Study:
- To investigate the association between total daily screen time, presleep screen time, and insomnia in breast cancer patients.
- To assess whether perceived stigma modifies the relationship between screen time and insomnia.
- To provide evidence for targeted interventions in breast cancer care.
Main Methods:
- A cross-sectional study involving 778 breast cancer patients.
- Screen time (total daily and presleep) was assessed as exposure.
- Insomnia was diagnosed using DSM-5 criteria; multivariable logistic regression analyzed associations.
Main Results:
- Increased total daily and presleep screen time were significantly associated with higher odds of insomnia.
- High screen time exposure correlated with substantially increased insomnia odds.
- While high stigma and screen time showed the highest insomnia odds, modification effects were not statistically significant.
Conclusions:
- Screen time, particularly presleep exposure, is linked to insomnia in breast cancer patients.
- Findings suggest reducing presleep screen time could be beneficial in supportive oncology care.
- Further longitudinal research is recommended to confirm these associations and explore causality.
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