Validation of Body Image Scale in Women with Breast Cancer

Subject Areas :

شهین تبرزن ¹ , فرزانه هومن ² , سعید بختیارپور ³

1 - دانشجوی دکتری روان شناسی عمومی، گروه روان شناسی، واحد اهواز، دانشگاه آزاد اسلامی، اهواز، ایران
2 - استادیار گروه روان شناسی، واحد اهواز، دانشگاه آزاد اسلامی، اهواز، ایران )نویسنده مسئول:
3 - استادیار گروه روان شناسی، واحد اهواز، دانشگاه آزاد اسلامی، اهواز، ایران

Received: 2022-01-08 Accepted : 2022-04-14 Published : 2022-10-19

Keywords: breast cancer, Validation, Scale, Keywords: Body Image,

Abstract :

AbstractWomen undergoing breast cancer treatment experience a number of changes, including lossor deformity of one or both breasts, surgical wounds, skin changes, and weight gain. Thesechanges are closely related to physical appearance and body image and often lead todecreased mental health, marital quality, and psychological stress resulting from thisinappropriate body image. The aim of this study was to evaluate the validation of bodyimage scale in breast cancer patients in Tehran. The present study was a descriptivecorrelational study. 250 married women with breast cancer were selected from availablemedical centers in Tehran. They completed the scales of body image, cyberspacedependence and quality of married life. Data analysis was performed using statisticalmethods, Cronbach's alpha, confirmatory factor analysis, etc. using statistical softwareAMOS-26 and SPSS-27. The results showed that the two-factor model of body image wasappropriate for the population. Also, Cronbach's alpha coefficient of convergent anddivergent validity for the whole scale and its subscales was acceptable. Due to the validityand reliability of this scale, it can be used for research and treatment activities in researchand counseling centers.

References:

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_||_

Brederecke, J., & Zimmermann, T. (2020). Psychometric properties of the German version
of the Self Image Scale (SIS-D) in a sample of cancer patients. PloS one, 15(10),
e0240619.
Bulgan, G., & Çiftçi, A. (2017). Psychological adaptation, marital satisfaction, and
academic self-efficacy of international students. Journal of International Students,
7(3), 687-702.
Dorling, L., Carvalho, S., Allen, J., González-Neira, A., Luccarini, C., Wahlström, C., ... &
Brüning, T. (2021). Breast Cancer Risk Genes-Association Analysis in More than
113,000 Women. N Engl J Med, 428-439.
Favez, N., & Cairo Notari, S. (2021). Body image, sexual activity, and side effects of
treatments across the first year after surgery in women facing breast cancer: The
influence of attachment insecurity. Journal of Psychosocial Oncology, 1-20.
Ganesh, K., & Massagué, J. (2021). Targeting metastatic cancer. Nature medicine, 27(1),
34-44.
Garduño-Ortega, O., Morales-Cruz, J., Hunter-Hernández, M., Gany, F., & Costas-Muñiz,
R. (2021). Spiritual Well-Being, Depression, and Quality of Life Among Latina Breast
Cancer Survivors. Journal of religion and health, 1-13.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing
discriminant validity in variance-based structural equation modeling. Journal of the
academy of marketing science, 43(1), 115-135.
Kline, R. B., (1998). Principels and practice of structural equation modeling. NY: Guilford
Press.
Madic, J., Kiialainen, A., Bidard, F. C., Birzele, F., Ramey, G., Leroy, Q., ... & Lermine, A.
(2015). Circulating tumor DNA and circulating tumor cells in metastatic triple negative
breast cancer patients. International journal of cancer, 136(9), 2158-2165.
فصلنامه پژوهش های کاربردی در علوم رفتاری/ 21
McKinney, S. M., Sieniek, M., Godbole, V., Godwin, J., Antropova, N., Ashrafian, H., ... &
Shetty, S. (2020). International evaluation of an AI system for breast cancer screening.
Nature, 577(7788), 89-94.
Melissant, H. C., Jansen, F., Eerenstein, S. E., Cuijpers, P., Laan, E., Lissenberg-Witte, B.
I., ... & Verdonck-de Leeuw, I. M. (2021). Body image distress in head and neck
cancer patients: what are we looking at?. Supportive Care in Cancer, 29(4), 2161-
2169.
Nagy, Á., Munkácsy, G., & Győrffy, B. (2021). Pancancer survival analysis of cancer
hallmark genes. Scientific reports, 11(1), 1-10.
Nielsen, T. O., Leung, S. C. Y., Rimm, D. L., Dodson, A., Acs, B., Badve, S., ... & Hayes,
D. F. (2021). Assessment of Ki67 in breast cancer: updated recommendations from the
international Ki67 in breast cancer working group. JNCI: Journal of the National
Cancer Institute, 113(7), 808-819.
Ribas, A., & Wolchok, J. D. (2018). Cancer immunotherapy using checkpoint blockade.
Science, 359(6382), 1350-1355.
Wilson, K. L., Charker, J., Lizzio, A., Halford, K., & Kimlin, S. (2005). Assessing how
much couples work at their relationship: the behavioral self regulation for effective
relationships scale. Journal of Family Psychology, 19(3), 385-391