Perceived family support of women with breast cancer and affecting factors in Turkey.

Asian Pac J Cancer Prev

Department of Public Health, Ege University, Bornova-Izmir, Turkey.

Published: October 2011

Background: The purpose of this study was to examine the percieved family support of the women with breast cancer and the affecting factors.

Methods: The subjects were breast cancer cases undergoing treatment (n=240). The sample for this study was formed by women who accepted participation, were in the facility between the dates and hours when the study was applied, and who were selected with a nonprobability sampling technique (n=120).

Results: Two thirds of the women with breast cancer were in the 40-59 age group. The lowest score women with breast cancer for perceived family support scale was 0.00 and the highest was 40.0, with a mean of 30.1±8.85.

Conclusion: In this study, it was determined that perceived family support of Turkish women with breast cancer was reasonable.

Download full-text PDF

Source

Publication Analysis

Top Keywords

breast cancer
24
women breast
20
family support
16
perceived family
12
support women
8
women
6
breast
6
cancer
6
support
4
cancer factors
4

Similar Publications

Objective: The case-control study aims to identify the potential risk and protective factors contributing to breast cancer risk in the high-incidence Aizawl population and the low-incidence Agartala population, using age-specific prevalence data of established reproductive factors and body mass index (BMI) among healthy women.

Methods: A risk profile survey was conducted on asymptomatic women aged 30-64 in Aizawl and Agartala towns. Data was analysed using SPSS software.

View Article and Find Full Text PDF

Introduction: Breast cancer is the most prevalent cancer among women worldwide, and advancements in detection and treatment have improved survival rates. Evaluating breast cancer patients' quality of life is essential for effective healthcare planning. This study aims to assess the level of quality of life and its associated factors, including sociodemographic, clinical, coping skills, and psychological factors among breast cancer women in Iraq.

View Article and Find Full Text PDF

Background: Breast cancer remains a significant global health challenge, requiring innovative therapeutic strategies. In silico methods, which leverage computational tools, offer a promising pathway for vaccine development. These methods facilitate antigen identification, epitope prediction, immune response modelling, and vaccine optimization, accelerating the design process.

View Article and Find Full Text PDF

Objective: Programmed Death-Ligand 1 (PD-L1) and Cytotoxic T Lymphocyte -Associated Antigen-4 (CTLA-4) are presently considered as prognostic markers and therapeutic targets in numerous human malignancies. The goal of this study was to determine whether PD-L1 and CTLA-4 might be used to predict patients' survival in Triple Negative Breast Cancer (TNBC).

Methods: This retrospective cohort study analyzed 100 primary TNBC cases that had surgical resection at the Oncology Center of Mansoura University (OCMU), Faculty of Medicine, Egypt.

View Article and Find Full Text PDF

8-OHdG and Nrf2 Protein are Expressed Consistently in Various T Stages of Invasive Breast Carcinoma.

Asian Pac J Cancer Prev

January 2025

Department of Anatomic Pathology, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.

Objective: Oxidative stress prompts breast cancer cells to adapt by raising the lethal threshold and enhancing the antioxidant mechanism, thereby enabling survival and continuous proliferation that facilitates tumor progression. Nrf2 and 8-OHdG are indicative of oxidative stress activity and impact the progression of breast cancer. We aimed to analyze the expression of Nrf2 and 8-OHdG in various T stages of breast cancer in our hospital.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!