226. Assessing Exposure Comparability for a Study of Occupational 60 HZ Electromagnetic Fields Exposure and Female Breast Cancer

2000 ◽  
Author(s):  
M. Kelsh ◽  
T. Bracken ◽  
R. Rankin ◽  
K. Ebi ◽  
L. Kheifets ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Electromagnetic Fields ◽  
Female Breast Cancer ◽  
Female Breast

Electromagnetic Fields and Female Breast Cancer

2006 ◽  
Vol 17 (4) ◽  
pp. 553-558 ◽  
Author(s):  
Maria Feychting ◽  
Ulla Forssén
Keyword(s):  
Breast Cancer ◽  
Electromagnetic Fields ◽  
Female Breast Cancer ◽  
Female Breast

Treatment disparities in female breast cancer patients according to race, ethnicity and socioeconomic status

2013 ◽  
Author(s):  
Christopher S. Bartlett ◽  
Tulay Koru-Sengul ◽  
Feng Miao ◽  
Stacey L. Tannenbaum ◽  
David J. Lee ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Socioeconomic Status ◽  
Cancer Patients ◽  
Female Breast Cancer ◽  
Breast Cancer Patients ◽  
Female Breast ◽  
Treatment Disparities ◽  
Race Ethnicity

scholarly journals 165P Comparison of male and female breast cancer in reference hospital in Mexico

2021 ◽  
Vol 32 ◽  
pp. S90-S91
Author(s):  
G. Sanchez ◽  
A. Gutierrez ◽  
J.C. Jímenez ◽  
R. Correa ◽  
J.A. Alegría Baños ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Female Breast Cancer ◽  
Male And Female ◽  
Female Breast ◽  
Reference Hospital

scholarly journals Socio-Economic Position, Cancer Incidence and Stage at Diagnosis: A Nationwide Cohort Study in Belgium

Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 933
Author(s):  
Michael Rosskamp ◽  
Julie Verbeeck ◽  
Sylvie Gadeyne ◽  
Freija Verdoodt ◽  
Harlinde De Schutter
Keyword(s):  
Breast Cancer ◽  
Lung Cancer ◽  
Cohort Study ◽  
Cancer Incidence ◽  
Regression Models ◽  
Female Breast Cancer ◽  
Stage At Diagnosis ◽  
Female Breast ◽  
Economic Parameters ◽  
Economic Position

Background: Socio-economic position is associated with cancer incidence, but the direction and magnitude of this relationship differs across cancer types, geographical regions, and socio-economic parameters. In this nationwide cohort study, we evaluated the association between different individual-level socio-economic and -demographic factors, cancer incidence, and stage at diagnosis in Belgium. Methods: The 2001 census was linked to the nationwide Belgian Cancer Registry for cancer diagnoses between 2004 and 2013. Socio-economic parameters included education level, household composition, and housing conditions. Incidence rate ratios were assessed through Poisson regression models. Stage-specific analyses were conducted through logistic regression models. Results: Deprived groups showed higher risks for lung cancer and head and neck cancers, whereas an inverse relation was observed for malignant melanoma and female breast cancer. Typically, associations were more pronounced in men than in women. A lower socio-economic position was associated with reduced chances of being diagnosed with known or early stage at diagnosis; the strongest disparities were found for male lung cancer and female breast cancer. Conclusions: This study identified population groups at increased risk of cancer and unknown or advanced stage at diagnosis in Belgium. Further investigation is needed to build a comprehensive picture of socio-economic inequality in cancer incidence.

Age-Specific Spatio-Temporal Patterns of Female Breast Cancer Mortality in Spain (1975–2005)

2010 ◽  
Vol 20 (12) ◽  
pp. 906-916 ◽  
Author(s):  
María D. Ugarte ◽  
Tomás Goicoa ◽  
Jaione Etxeberria ◽  
Ana F. Militino ◽  
Marina Pollán
Keyword(s):  
Breast Cancer ◽  
Cancer Mortality ◽  
Breast Cancer Mortality ◽  
Temporal Patterns ◽  
Female Breast Cancer ◽  
Female Breast ◽  
Spatio Temporal
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