scholarly journals THE RELATIONSHIP BETWEEN PHYSICAL ACTIVITY AND BREAST CANCER: PREVENTION, TREATMENT AND RECONSTRUCTION OF SELF-ESTEEM

2019 ◽  
Author(s):  
Natália S. D. Mendonça ◽  
◽  
Guilherme A. Sampaio ◽  
Laine R. Martins ◽  
Júlia de J. Caetano ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Cancer Prevention ◽  
Self Esteem ◽  
Breast Cancer Prevention ◽  
The Relationship

scholarly journals Preventive measures against development of breast cancer

2021 ◽  
Vol 2 (1) ◽  
pp. 50-56
Author(s):  
Yu. V. Vykhristyuk ◽  
G. E. Roitberg ◽  
J. V. Dorosh ◽  
N. V. Karaseva ◽  
R. A. Akobova
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Cancer Prevention ◽  
Primary Breast Cancer ◽  
Preventive Measures ◽  
Breast Cancer Prevention ◽  
Main Peak ◽  
Malignant Neoplasms ◽  
Costs Of Treatment ◽  
Exogenous Factors

According to Russian statistics, breast cancer ranks fi rst among malignant neoplasms among women (20.9%). The largest proportion of breast cancer cases is detected in women aged 35 to 55 years. Therefore, an urgent issue is not only the provision of specialized medical care to patients, but also the prevention of the development of the disease. Almost 70% of malignant neoplasms, including breast cancer, are provoked by exogenous factors. This article provides an overview of the literature on primary breast cancer prevention. It is established that a woman's lifestyle, diet, physical activity, and bad habits can have a potentiating effect on the development of breast cancer. Conclusions. Currently, breast cancer prevention plays a key role in the fi ght against this disease. middle-aged women (who account for the main peak of morbidity) should understand that by changing behavior, it is possible to reduce the risk of developing breast cancer. In addition, increasing women's awareness of breast cancer and its prevention can help reduce the incidence and fi nancial costs of treatment.

scholarly journals Aerobic exercise and DNA methylation in postmenopausal women: An ancillary analysis of the Alberta Physical Activity and Breast Cancer Prevention (ALPHA) Trial

PLoS ONE ◽  
2018 ◽  
Vol 13 (6) ◽  
pp. e0198641 ◽  
Author(s):  
Devon J. Boyne ◽  
Will D. King ◽  
Darren R. Brenner ◽  
John B. McIntyre ◽  
Kerry S. Courneya ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Dna Methylation ◽  
Aerobic Exercise ◽  
Cancer Prevention ◽  
Postmenopausal Women ◽  
Breast Cancer Prevention

Predictors of Adherence to Supervised and Unsupervised Exercise in the Alberta Physical Activity and Breast Cancer Prevention Trial

2012 ◽  
Vol 9 (6) ◽  
pp. 857-866 ◽  
Author(s):  
Kerry S. Courneya ◽  
Kristina H. Karvinen ◽  
Margaret L. McNeely ◽  
Kristin L. Campbell ◽  
Sony Brar ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Cancer Prevention ◽  
Postmenopausal Women ◽  
Exercise Intervention ◽  
Exercise Adherence ◽  
Breast Cancer Prevention ◽  
Breast Cancer Prevention Trial ◽  
Supervised Exercise ◽  
Predictors Of Adherence

Background:Few studies have examined the predictors of adherence separately for supervised and unsupervised exercise or in postmenopausal women over an extended time period. Here, we report the predictors of exercise adherence in the Alberta Physical Activity and Breast Cancer Prevention (ALPHA) Trial.Methods:The ALPHA trial randomized 160 postmenopausal women in Calgary and Edmonton, Canada to an exercise intervention that consisted of an average of 200 min/wk of supervised (123 minutes) and unsupervised (77 minutes) exercise over a 1-year period. Baseline data were collected on demographic, health-related fitness, quality of life, and motivational variables from the theory of planned behavior.Results:Participants completed an average of 95% of their supervised exercise and 79% of their unsupervised exercise. In multivariate analyses, 8.1% (P = .001) of the variance was explained for supervised exercise by being from Edmonton (β = 0.22; P = .004) and older (β = 0.15; P = .050). For unsupervised exercise, 21.1% (P < .001) of the variance was explained by being from Calgary (β = –0.39; P < .001), having a family history of breast cancer (β = 0.21; P = .003), and having higher vitality (β = 0.19; P = .011).Conclusions:Predictors of adherence may differ for supervised and unsupervised exercise, moreover, predicting adherence to supervised exercise may be particularly difficult in well-controlled efficacy trials.

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