Background: Understanding the relationship between fear of gynecological cancer and awareness of cancer in women may help oncology nurses increase women's participation in gynecological cancer screening.
Objective: To examine the relationship between women's gynecological cancer awareness and cancer fear using social media and the affecting factors.
Methods: In a descriptive and cross-sectional study design, online data were collected from 1231 women aged 20 to 69 years through social media using the Descriptive Information Form, the Gynecological Cancer Awareness Scale (GCAS), and the Cancer Worry Scale (CWS). Analytic tests included paired t tests, analysis of variance, and post hoc correlations and structural equation modeling.
Results: The women's total mean GCAS score was above moderate (152 ± 17), and their mean CWS score was high (19 ± 5). There was no relationship between the GCAS and CWS mean scores. Characteristics of participants with high awareness of gynecological cancer were being young, having a high educational level, having children, living in a province, having a history of cancer or family history of cancer, and having regular gynecological examinations, Papanicolaou smear tests, breast self-examination, and vulva examinations ( P < .05). The fear of cancer was higher in women with children, a family history of cancer, and regular gynecological examination behaviors ( P < .05).
Conclusion: Awareness of gynecological cancer was not significantly statistically associated with fear of cancer. Certain sociodemographic and gynecological characteristics are associated with awareness of gynecological cancer and/or fear of cancer.
Implications For Practice: Oncology nurses may plan individualized or large-scale educational events that may make use of social media to enhance accurate awareness of gynecological cancer and related examinations in women.
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http://dx.doi.org/10.1097/NCC.0000000000001230 | DOI Listing |
Arch Gynecol Obstet
January 2025
Department of Obstetrics and Gynecology, Breast Cancer Center, Heidelberg University Hospital, Im Neuenheimer Feld 440, 69120, Heidelberg, Germany.
Purpose: Artificial Intelligence models based on medical (imaging) data are increasingly developed. However, the imaging software on which the original data is generated is frequently updated. The impact of updated imaging software on the performance of AI models is unclear.
View Article and Find Full Text PDFArch Gynecol Obstet
January 2025
Department of Gynecologic Oncology, İzmir Democracy University School of Medicine, Buca Seyfi Demirsoy Education and Research Hospital, İzmir, Turkey.
Purpose: Investigating the impact of radiotherapy on urinary incontinence and pelvic floor dysfunction in endometrial cancer patients.
Method: A comparative study was conducted between endometrial cancer patients who underwent radiotherapy and those who did not receive adjuvant therapy. Patients were assessed during their first follow-up visit at third month post-radiotherapy or post-surgery.
Front Oncol
December 2024
Gynecologic Oncology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Background: Ovarian cancer (OC) represents a common neoplasm within the female reproductive tract. The prognosis for patients diagnosed at advanced stages is unfavorable, primarily attributable to the absence of reliable screening markers for early detection. An elevated neutrophil-to-lymphocyte ratio (NLR) serves as an indicator of host inflammatory response and has been linked to poorer overall survival (OS) across various cancer types; however, its examination in OC remains limited.
View Article and Find Full Text PDFFront Oncol
January 2025
Department of Gynecologic Oncology, Chongqing Health Center for Women and Children, Chongqing, China.
Background: Emerging surgical methods are utilized to treat endometrial cancer. The study aimed to assess the efficacy and safety of four common surgical methods of hysterectomy.
Methods: We systematically searched the PubMed, Cochrane Library databases, Medline, EMBASE and Web of Science from their inception until April 30, 2024.
Womens Health Rep (New Rochelle)
January 2025
Institute of Epidemiology and Preventive Medicine, Department of Public Health, College of Public Health, National Taiwan University, Taipei, Taiwan.
Background: Ovarian cancer is one of the top seven causes of cancer deaths. Incidence of ovarian cancer varies by ethnicity, where Asian women demonstrate lower incidence rates than non-Hispanic Blacks and Whites. Survival prediction models for ovarian cancer have been developed for Caucasians and Black populations using national databases; however, whether these models work for Asians is unclear.
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