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Breast Cancer Prevention: Exploring the Most Effective Methods

Authors: Dr. Bibi Wasifa, Dr. Mian Khan, Saima Batool Awan;

Breast Cancer Prevention: Exploring the Most Effective Methods

Abstract

One of the most prevalent malignancies in the world, breast cancer can have a serious physical and psychological impact on patients. Up to 90% of people who are receiving therapy for breast cancer experience fatigue as a side effect. It has been demonstrated that regular exercise reduces fatigue and enhances the quality of life for breast cancer patients. However, a lot of people don't exercise at all or perhaps insufficiently while receiving treatment. An investigation into the knowledge, attitudes, and practices of 12 breast cancer patients about exercise during treatment was done in order to solve this problem. Focus group discussions and the social cognitive theory served as the study's framework. If their worries about exhaustion, time management, and social support were taken care of, the participants indicated confidence in their ability to exercise while receiving treatment. According to the study, breast cancer patients feel that exercise is good for their health and well-being while undergoing treatment. They do, however, have particular challenges and preferences that should be taken into account when creating exercise treatments. Participants said walking was the most palatable type of exercise and wanted instruction and direction from qualified staff. Future exercise therapies for breast cancer patients can be planned using the social cognitive theory, which offers a suitable framework for doing so. Our study emphasizes the significance of addressing fatigue, time management, and social support issues in order to encourage regular physical activity and enhance the quality of life of breast cancer patients receiving treatment.

Keywords

Polygenes, Risk Prediction, Targeted Prevention of Breast Cancer.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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