Lifestyle Changes and Breast Cancer Risks

2010 ◽  
Vol 40 (9) ◽  
pp. 44
Author(s):  
HOPE S. RUGO
2020 ◽  
Vol 27 (37) ◽  
pp. 6373-6383 ◽  
Author(s):  
Leila Jouybari ◽  
Faezeh Kiani ◽  
Farhad Islami ◽  
Akram Sanagoo ◽  
Fatemeh Sayehmiri ◽  
...  

: Breast cancer is the most common neoplasm, comprising 16% of all women's cancers worldwide. Research of Copper (Cu) concentrations in various body specimens have suggested an association between Cu levels and breast cancer risks. This systematic review and meta-analysis summarize the results of published studies and examine this association. We searched the databases PubMed, Scopus, Web of Science, and Google Scholar and the reference lists of relevant publications. The Standardized Mean Differences (SMDs) between Cu levels in cancer cases and controls and corresponding Confidence Intervals (CIs), as well as I2 statistics, were calculated to examine heterogeneity. Following the specimens used in the original studies, the Cu concentrations were examined in three subgroups: serum or plasma, breast tissue, and scalp hair. We identified 1711 relevant studies published from 1984 to 2017. There was no statistically significant difference between breast cancer cases and controls for Cu levels assayed in any studied specimen; the SMD (95% CI) was -0.01 (-1.06 - 1.03; P = 0.98) for blood or serum, 0.51 (-0.70 - 1.73; P = 0.41) for breast tissue, and -0.88 (-3.42 - 1.65; P = 0.50) for hair samples. However, the heterogeneity between studies was very high (P < 0.001) in all subgroups. We did not find evidence for publication bias (P = 0.91). The results of this meta-analysis do not support an association between Cu levels and breast cancer. However, due to high heterogeneity in the results of original studies, this conclusion needs to be confirmed by well-designed prospective studies.


2021 ◽  
pp. 096228022110089
Author(s):  
Yun-Hee Choi ◽  
Hae Jung ◽  
Saundra Buys ◽  
Mary Daly ◽  
Esther M John ◽  
...  

Mammographic screening and prophylactic surgery such as risk-reducing salpingo oophorectomy can potentially reduce breast cancer risks among mutation carriers of BRCA families. The evaluation of these interventions is usually complicated by the fact that their effects on breast cancer may change over time and by the presence of competing risks. We introduce a correlated competing risks model to model breast and ovarian cancer risks within BRCA1 families that accounts for time-varying covariates. Different parametric forms for the effects of time-varying covariates are proposed for more flexibility and a correlated gamma frailty model is specified to account for the correlated competing events.We also introduce a new ascertainment correction approach that accounts for the selection of families through probands affected with either breast or ovarian cancer, or unaffected. Our simulation studies demonstrate the good performances of our proposed approach in terms of bias and precision of the estimators of model parameters and cause-specific penetrances over different levels of familial correlations. We applied our new approach to 498 BRCA1 mutation carrier families recruited through the Breast Cancer Family Registry. Our results demonstrate the importance of the functional form of the time-varying covariate effect when assessing the role of risk-reducing salpingo oophorectomy on breast cancer. In particular, under the best fitting time-varying covariate model, the overall effect of risk-reducing salpingo oophorectomy on breast cancer risk was statistically significant in women with BRCA1 mutation.


2021 ◽  
Vol 10 (4) ◽  
pp. 730
Author(s):  
Solikhah Solikhah ◽  
Khairunnisaa Nuur Aliifah Setyawati ◽  
Monthida Sangruangake

Recently, cancer is a major health problem in the world. Lifestyle changes and growing urbanization likely led to increasing breast cancer incidence in such in Indonesia. Therefore, this study aimed to explore lifestyle breast cancer patients among Indonesian women. The investigation was a cross-sectional study distributed among 3,392 females drawn from 13 out of 27 provinces in Indonesia. Multiple binary logistic regressions were conducted to investigate breast cancer risk among Indonesian. A significance level of 0.05 was employed in all analysis. Of the 3,392 respondents included in the analysis, more than half (52.71%; n=1,788) was aged 40–49 years old. The most common marital status of the participants was married (98.20%; n=3,331), followed by no smoking (94.69%; n=3,212) and active exercise (62.12%; n=2,107). Education level was significantly associated with breast cancer (AdjOR_Junior high school=0.21; 95%CI=0.06 to 0.70; p&lt;0.01 and AdjOR_senior high school=0.60; 95%CI=0.15 to 2.26; p&lt;0.05). Education level was significantly related to breast cancer. Lifestyle such as smoking and physical activity was suspected to affect breast cancer indirectly.


2007 ◽  
Vol 18 (4) ◽  
pp. 439-447 ◽  
Author(s):  
William F. Anderson ◽  
Rayna K. Matsuno ◽  
Mark E. Sherman ◽  
Jolanta Lissowska ◽  
Mitchell H. Gail ◽  
...  
Keyword(s):  

Breast Care ◽  
2015 ◽  
Vol 10 (1) ◽  
pp. 7-12 ◽  
Author(s):  
Christoph Engel ◽  
Christine Fischer

BRCA1/2 mutation carriers have a considerably increased risk to develop breast and ovarian cancer. The personalized clinical management of carriers and other at-risk individuals depends on precise knowledge of the cancer risks. In this report, we give an overview of the present literature on empirical cancer risks, and we describe risk prediction models that are currently used for individual risk assessment in clinical practice. Cancer risks show large variability between studies. Breast cancer risks are at 40-87% for BRCA1 mutation carriers and 18-88% for BRCA2 mutation carriers. For ovarian cancer, the risk estimates are in the range of 22-65% for BRCA1 and 10-35% for BRCA2. The contralateral breast cancer risk is high (10-year risk after first cancer 27% for BRCA1 and 19% for BRCA2). Risk prediction models have been proposed to provide more individualized risk prediction, using additional knowledge on family history, mode of inheritance of major genes, and other genetic and non-genetic risk factors. User-friendly software tools have been developed that serve as basis for decision-making in family counseling units. In conclusion, further assessment of cancer risks and model validation is needed, ideally based on prospective cohort studies. To obtain such data, clinical management of carriers and other at-risk individuals should always be accompanied by standardized scientific documentation.


2017 ◽  
Vol 35 (5_suppl) ◽  
pp. 208-208 ◽  
Author(s):  
Rebecca DeSouza ◽  
Shona Milon Nag ◽  
Rama Sivaram ◽  
Anupama Dutt Mane

208 Background: In The Indian Scenario, a diagnosis of cancer is accompanied with social stigma and emotional upheavals, especially in breast cancer patients. They are typically thinking: “I would be less of a woman,” “I don’t know if people understand me,” “I feel isolated from myself, my family and my friends,” “Would I be normal again?” “Do I know how to help myself?” or “What will happen in the future, to my kids, to my husband?” Methods: All of these concerns are not always addressed by the medical professions. To address these issues, the Indian Breast Cancer Survivors Conference was organized as an annual conference with an attendance of 200-250 breast cancer survivors from the state of Maharashtra, India. The conference would address the psychological, emotional and social distress experienced by the patients with an aim from living a longer life to living a better and fulfilled life. Results: The emphasis of the sessions were educational (with recent updates on the surgical, medical and radiation therapy aspects of breast cancer treatment), practical (emphasized important issues like side-effects of treatment, patient advocacy, complementary therapies, spirituality, lifestyle changes, etc.), and entertaining. The summary and outcomes of the last 5 annual survivorship conferences will be described and enumerated. Results of questionnaires administered during the last 2 conferences and addressing health behavior patterns of survivors will be presented. Conclusions: We can evaluate through post conference support group discussions and conference feedback, qualify patient psychological and social health as 1) Physical:There are side effects but I choose to go on; 2) Mental: There are times that I am low, depressed, anxious, scared, guilty, but this is my new normal; 3) Emotional:Little things upset me, angry quickly but I am dealing with it; 4)Spiritual:Moved away from bargaining with God to accepting, from rituals to spiritual; 5) Social:don’t hesitate to reach out for support and to support; and 5) Intellectual:Knowledge is power, so I have learned to ask, to question, and then to decide. Achieving psychological and social health is the effort of the patient, the treating team and the support group.


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