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  Volume 11, Issue 3 (Iranian Quarterly Journal of Breast Disease 2018)  

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Iranian Journal of Breast Disease
Abstract (6252 Views) | چکیده  |   Full-Text (PDF) (5836 Downloads)   |   Highlights
Conclusion: The results of this study showed that compassion focused therapy can affect the body image and marital satisfaction in women with breast cancer.

Abstract (4758 Views) | چکیده  |   Full-Text (PDF) (2345 Downloads)   |   Highlights
Conclusion: Supportive dyadic coping by oneself and by the partner plays a very important role in the relationship between stress and marital adjustment in women. Therefore, supportive dyadic coping not only reduces the negative effects of stress on marital adjustment and quality, but it can improve marital adjustment.


Abstract (4935 Views) | چکیده  |   Full-Text (PDF) (3835 Downloads)   |   Highlights
Conclusion: Aerobic exercise can increase the expression of caspase-3 and caspase-9 and reduce tumor growth rate and tumor weight in breast cancer. Therefore, it can be claimed that exercise training can reduce tumor volume, and thus improve the condition of the mice with cancer, by increasing the levels of apoptotic factors.


Abstract (4900 Views) | چکیده  |   Full-Text (PDF) (1898 Downloads)   |   Highlights
Conclusion: It seems that decreased myostatin levels due to endurance training have an important role in the prevention of muscle wasting. According to our findings, endurance training, in addition to suppressing tumor growth, can be considered an effective strategy for combating muscle loss in cancer patients.


Abstract (5126 Views) | چکیده  |   Full-Text (PDF) (6194 Downloads)   |   Highlights
Conclusion: Based on the results obtained, the two Logistic and Multi-Class Classifiers have the best accuracies for the SEER and local datasets in this study.


Abstract (4975 Views) | چکیده  |   Full-Text (PDF) (3435 Downloads)   |   Highlights
Conclusion: Using dietary habits and cultural factors in the prediction of breast cancer, the proposed model has the least error rate and the most accuracy compared with other models such as fuzzy and neural networks.


Iranian Journal of Breast Disease

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