scholarly journals Risk Factors Associated with Breast Cancer

2020 ◽  
pp. 1-3
Author(s):  
Victor Manuel Vargas-Hernandez
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Standard Deviation ◽  
Descriptive Analysis ◽  
Familial Risk ◽  
Breast Cancer Diagnosis ◽  
Graphical Analysis ◽  
Overweight And Obesity ◽  
Reproductive Life ◽  
Age Range

Background: It is reported that genetic and hereditary-familial risk factors for breast cancer contribute 5% and the majority are related to the reproductive life of women. Objective: it has the purpose of determining if the factors considered as risk factors are associated with breast cancer in a group of Mexican women. Material and Methods: A retrospective, observational and descriptive study was carried out in 162 women with breast cancer for 3 years (2002-2004) at the Hospital Juárez de México to determine if the usual risk factors are related to breast cancer. The descriptive analysis included localization and dispersion measures, as well as a graphical analysis using bar diagrams. Results: In the sample of 162 women with breast cancer, the age range at the time of breast cancer diagnosis was from 27 to 78 years (mean of 47.60, standard deviation of 13.09); early menarche only appeared in 12.3% (n=20). The mean age of the first pregnancy was 22 years and of menopause at 51 years of age; 72.2% lactated (n=117) and 45.1% did so for more than 6 months (n=73); the menstrual pattern disorder appeared in 22.8% of cases (n=37); Menopausal hormone therapy was previously used in 19.8% (n=32). The hereditary-family history of breast cancer appeared in 14.2% of the cases (n=23). It seems to be correlated with the fact that in patients with nulliparity, alcoholism and the absence of breastfeeding, breast cancer occurs at an early age (< 45 years) and the risk factor that is related to breast cancer is overweight and obesity with 54.26% and 17.11% respectively (average of 28.00, standard deviation of 3.032). Conclusion: no correlation was found between risk factors considered common for breast cancer; only overweight and obesity were related to its development, further research is required to confirm whether this correlation occurs in other countries.

scholarly journals Impact of familial risk factors on management and survival of early-onset breast cancer: a population-based study

2005 ◽  
Vol 94 (2) ◽  
pp. 231-238 ◽  
Author(s):  
H M Verkooijen ◽  
P O Chappuis ◽  
E Rapiti ◽  
G Vlastos ◽  
G Fioretta ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Early Onset ◽  
Familial Risk ◽  
Population Based ◽  
Early Onset Breast Cancer ◽  
Population Based Study ◽  
Familial Risk Factors

scholarly journals Risk Factor Assessment of Multidrug-Resistant Tuberculosis

1970 ◽  
Vol 7 (2) ◽  
pp. 89-92 ◽  
Author(s):  
R Pant ◽  
KR Pandey ◽  
M Joshi ◽  
S Sharma ◽  
T Pandey ◽  
...  
Keyword(s):  
Risk Factors ◽  
Descriptive Analysis ◽  
Case Series ◽  
Previous Treatment ◽  
Local Context ◽  
Multi Drug Resistance ◽  
Structured Interviews ◽  
Case Series Study ◽  
Mdr Tb ◽  
Age Range

Background: Despite increasing numbers of MDR TB cases seen in Nepal, a lot remains to be understood about the disease in the local context. We evaluated possible risk factors for MDR TB among patients enrolled for treatment at a district hospital in western Nepal. Methods: A descriptive case-series study using structured interviews and abstraction of treatment records of all patients registered at the DOTS Plus clinic at Bhim Hospital, Bhairahawa from April 2008 to Dec 2008 was done. Descriptive analysis was done to find out frequencies and relations. Results: Of the total 31 patients, 22 were males (age range 18-68, median 36.7) and the remaining 9 females (age range 23-56, median 33.7). 27(87%) of the patients had monthly income below Rs 3000 and 24 (77%) of them were illiterate. 21(67%) had missed at least a few weeks of drugs during their previous treatment and 4 (13%) had been marked as defaulters. 6 (20%) had treatment failure. 74% of the patients were smokers, 2 were HIV positive. 20 (58%) had lived in India for at least 6 months where they had incomplete treatment of TB. 30 (97%) patients had disclosed their MDR status to their families; however 70% said they did not do so immediately. Conclusions: Previous TB treatment, male sex, poverty, migration to India, illiteracy and smoking have been observed in a majority of the cases in this study. These findings need to be corroborated with multi-centre casecontrol studies to bring out nationally relevant risk factors for MDR TB. Key words: directly observed treatment short course-plus; multi- drug resistance; risk factors; tuberculosis. DOI: 10.3126/jnhrc.v7i2.3013 Journal of Nepal Health Research Council Vol.7(2) Apr 2009 89-92

Hormonal contraception and breast cancer, what more do we need to know?

2017 ◽  
Vol 23 (3) ◽  
pp. 116-127 ◽  
Author(s):  
Jo Marsden
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Breast Cancer Survivors ◽  
Unplanned Pregnancy ◽  
Hormone Replacement ◽  
Familial Risk ◽  
Hormonal Contraception ◽  
Breast Cancer Diagnosis ◽  
Disease Recurrence ◽  
Conclusive Evidence

Most women use hormonal contraception for more than 30 years and for many, this may involve exposure in their older reproductive years when baseline breast cancer risk rises steeply. Overall, the risk of breast cancer diagnosis with exposure to hormonal contraception is very small and outweighed by its contraceptive benefits but despite this, there are still outstanding questions for all methods used in clinical practice due to paucity of available evidence, lack of which should not be taken to imply safety. This is exemplified by the following assumptions: the progestogen-only pill and long-acting reversible contraceptives are ‘breast-safe’ options in peri-menopausal women, use of the levonorgestrel intrauterine system for the management of endometrial pathology in breast cancer survivors is less likely to promote disease recurrence and the benefit all hormonal contraceptive methods confer in reducing unplanned pregnancy in women at high familial risk outweigh the risk of breast cancer diagnosis. There is no data on risk with the concurrent prescription of hormone replacement therapy in women exhibiting climacteric symptoms who are still menstruating. Advice of GPs and Community Sexual & Reproductive Health specialists will inevitably be sought about some or all these issues and in the absence of conclusive evidence from clinical studies, caution should be applied and women counselled appropriately.

scholarly journals Predictors of resignation and sick leave after cancer diagnosis among Japanese breast cancer survivors

2020 ◽  
Author(s):  
Kiyomi Mitsui ◽  
Motoki Endo ◽  
Yuya Imai ◽  
Yuito Ueda ◽  
Hiroko Ogawa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Sick Leave ◽  
Cancer Survivors ◽  
Cancer Diagnosis ◽  
Breast Cancer Survivors ◽  
Breast Cancer Diagnosis ◽  
Age At Diagnosis ◽  
Breast Cancer Patients ◽  
After Cancer

Abstract Background The number of breast cancer patients of working age is increasing in Japan . Consequently, there is a need for support for working individuals concomitantly undergoing breast cancer treatment. The present study aimed to clarify the risk factors for resignation and taking sick leave among breast cancer survivors in continued employment at the time of diagnosis. Methods As part of a Japanese national research project (Endo-Han), the investigators conducted a web-based survey of cancer survivors (CSs) in 2018. The investigators analyzed the risk factors for post-breast cancer diagnosis resignation and sick leave using a logistic regression model, including age at diagnosis, educational level, cancer stage, surgery, pharmacotherapy, radiotherapy, employment status, and occupational type. Results 40 of 269 breast cancer survivors (14.9%) quit their job after cancer diagnosis. Predictors of resignation included lower education level (odds ratio [OR]: 3.802; 95%CI: 1.233-11.729), taking sick leave (OR: 2.514; 95%CI: 1.202-5.261), and younger age at diagnosis (OR: 0.470; 95%CI: 0.221-0.998). Of 229 patients who continued working, sick leave was taken by 72 (31.4%); having surgery was a predictor for taking sick leave (OR: 8.311; 95%CI: 1.007-68.621). Conclusions 14.9% of Japanese employees quit their jobs after being diagnosed with breast cancer. Being younger at breast cancer diagnosis, having lower educational attainment level, and utilizing sick leave were identified as predictors of post-cancer diagnosis resignation. Surgery was associated with the highest risk of taking sick leave. Breast cancer survivors exhibit higher risks for resignation, and may require more carefully follow-up after diagnosis by healthcare providers and employers to protect work sustainability.

scholarly journals Predictors of resignation and sick leave after cancer diagnosis among Japanese breast cancer survivors

2020 ◽  
Author(s):  
Kiyomi Mitsui ◽  
Motoki Endo ◽  
Yuya Imai ◽  
Yuito Ueda ◽  
Hiroko Ogawa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Sick Leave ◽  
Cancer Survivors ◽  
Cancer Diagnosis ◽  
Breast Cancer Survivors ◽  
Breast Cancer Diagnosis ◽  
Age At Diagnosis ◽  
Breast Cancer Patients ◽  
After Cancer

Abstract Background The number of breast cancer patients of working age is increasing in Japan . Consequently, there is a need for support for working individuals concomitantly undergoing breast cancer treatment. The present study aimed to clarify the risk factors for resignation and taking sick leave among breast cancer survivors in continued employment at the time of diagnosis. Methods As part of a Japanese national research project (Endo-Han), the investigators conducted a web-based survey of cancer survivors (CSs) in 2018. The investigators analyzed the risk factors for post-breast cancer diagnosis resignation and sick leave using a logistic regression model, including age at diagnosis, educational level, cancer stage, surgery, pharmacotherapy, radiotherapy, employment status, and occupational type. Results 40 of 269 breast cancer survivors (14.9%) quit their job after cancer diagnosis. Predictors of resignation included lower education level (odds ratio [OR]: 3.802; 95%CI: 1.233-11.729), taking sick leave (OR: 2.514; 95%CI: 1.202-5.261), and younger age at diagnosis (OR: 0.470; 95%CI: 0.221-0.998). Of 229 patients who continued working, sick leave was taken by 72 (31.4%); having surgery was a predictor for taking sick leave (OR: 8.311; 95%CI: 1.007-68.621). Conclusions 14.9% of Japanese employees quit their jobs after being diagnosed with breast cancer. Being younger at breast cancer diagnosis, having lower educational attainment level, and utilizing sick leave were identified as predictors of post-cancer diagnosis resignation. Surgery was associated with the highest risk of taking sick leave. Breast cancer survivors exhibit higher risks for resignation, and may require more carefully follow-up after diagnosis by healthcare providers and employers to protect work sustainability.

Role of Clinical and Imaging Risk Factors in Predicting Breast Cancer Diagnosis Among BI-RADS 4 Cases

2019 ◽  
Vol 19 (1) ◽  
pp. e142-e151 ◽  
Author(s):  
William Hsu ◽  
Xinkai Zhou ◽  
Antonia Petruse ◽  
Ngan Chau ◽  
Stephanie Lee-Felker ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis

scholarly journals P15-2 Risk factors and barriers of early breast cancer diagnosis and treatment outcome in Bangladesh

2021 ◽  
Vol 32 ◽  
pp. S336
Author(s):  
Abdullah Al Mamun Khan ◽  
Parveen Shahida Akhtar ◽  
Md Yeaqub Ali ◽  
Nazrina Khatun ◽  
Muhammed Jahangir Alam ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Treatment Outcome ◽  
Early Breast Cancer ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Diagnosis And Treatment

Deterioration of Physical Activity Level and Metabolic Risk Factors After Early-Stage Breast Cancer Diagnosis

2015 ◽  
Vol 38 (4) ◽  
pp. E1-E9 ◽  
Author(s):  
Aude-Marie Foucaut ◽  
Sophie E. Berthouze ◽  
Marina Touillaud ◽  
Magali Morelle ◽  
Valérie Bourne-Branchu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Risk Factors ◽  
Cancer Diagnosis ◽  
Physical Activity Level ◽  
Early Stage ◽  
Breast Cancer Diagnosis ◽  
Activity Level ◽  
Early Stage Breast Cancer ◽  
Metabolic Risk
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