Aims And Objectives: This study aimed to explore the experiences and factors associated with insomnia in Chinese breast cancer survivors.
Background: Insomnia is a common and significant symptom in breast cancer survivors. Quantitative studies are unable to describe the experience of insomnia and the sleep-associated factors from a personal point of view. A profound understanding of the experience of insomnia in breast cancer survivors can provide information for health workers and caregivers to allow them to provide more effective support.
Design: A descriptive qualitative research was adopted.
Methods: In-depth interviews were conducted with 22 insomniac breast cancer survivors. A qualitative content analysis was used to analyse the data.
Results: Three themes emerged concerning the experiences of insomnia, including sleep neglect, insomnia perception and insomnia anxiety. Participants reported their own opinions on three insomnia-associated factors, including factors associated with hospitalisation, factors associated with breast cancer and the therapies and too much attention placed on sleep.
Conclusions: Survivors would neglect their sleep problems in the early stage after diagnosis. When they became aware of their sleep problems, they were inclined to worry too much and sought help from traditional Chinese medicine. Anticipatory sleep anxiety, excessive negative cognitive activities and insomnia became a vicious circle for insomniac breast cancer survivors.
Relevance To Clinical Practice: The findings provide detailed information to help nurses understand the experiences of breast cancer survivors with insomnia. Nurses could provide proper care to help prevent insomnia or improve sleep.
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http://dx.doi.org/10.1111/jocn.13208 | DOI Listing |
JAMA Netw Open
January 2025
Men's Health Inequities Research Lab, Milwaukee, Wisconsin.
Importance: Research indicates that social drivers of health are associated with cancer screening adherence, although the exact magnitude of these associations remains unclear.
Objective: To investigate the associations between individual-level social risks and nonadherence to guideline-recommended cancer screenings.
Design, Setting, And Participants: This cross-sectional study used 2022 Behavioral Risk Factor Surveillance System data from 39 US states and Washington, DC.
Arch Pharm Res
January 2025
Laboratory of Biochemistry and Immunology, College of Veterinary Medicine, Chungbuk National University, Cheongju, 28644, Republic of Korea.
Despite significant progress in the field of human breast cancer research and treatment, there is a consistent increase in the incidence rate of 0.5 percent annually, posing challenges in the development of effective novel therapeutic strategies. The failure rate of drugs in clinical trials stands at approximately 95%, primarily attributed to the limitations and lack of reliability of existing preclinical models, such as mice, which do not mimic human tumor biology.
View Article and Find Full Text PDFCurr Treat Options Oncol
January 2025
Department of Pharmacognosy, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysuru, Karnataka, India.
Integrating clinical datasets in breast cancer research emerges as a necessary tool for advancing our knowledge of the disease and enhancing patient outcomes. Synthesizing diverse datasets offers advantages, from facilitating evidence-based insights to enabling predictive analytics and precision medicine strategies. Crucially, effective integration of clinical datasets necessitates collaborative efforts, policy interventions, and technological advancements to elevate global standards of breast cancer care.
View Article and Find Full Text PDFCancer Causes Control
January 2025
North Valley Breast Clinic, 1335 Buenaventura Blvd, Suite 204, Redding, CA, 96001, USA.
Objectives: Automated breast ultrasound imaging (ABUS) results in a reduction in breast cancer stage at diagnosis beyond that seen with mammographic screening in women with increased breast density or who are at a high risk of breast cancer. It is unknown if the addition of ABUS to mammography or ABUS imaging alone, in this population, is a cost-effective screening strategy.
Methods: A discrete event simulation (Monte Carlo) model was developed to assess the costs of screening, diagnostic evaluation, biopsy, and breast cancer treatment.
Ann Surg Oncol
January 2025
Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA.
Background: Flat epithelial atypia (FEA), a rare breast proliferative lesion, is often diagnosed following core biopsy (CB) of mammographic microcalcifications. In the prospective multi-institution TBCRC 034 trial, we investigate the upgrade rate to ductal carcinoma in situ (DCIS) or invasive cancer following excision for patients diagnosed with FEA on CB.
Patients And Methods: Patients with a breast imaging reporting and data system (BI-RADS) ≤ 4 imaging abnormality and a concordant CB diagnosis of FEA were identified for excision.
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