Moderate Altitude Residence Reduces Male Colorectal and Female Breast Cancer Mortality More Than Incidence: Therapeutic Implications?

Background: Living at moderate altitude may be associated with health benefits, including reduced mortality from male colorectal and female breast cancer. We aimed to determine altitude-dependent incidence and mortality rates of those cancers and put them in the context of altitude-associated lifestyle differences. Methods: Incidence cases and deaths of male colorectal cancer (n = 17,712 and 7462) and female breast cancer (n = 33,803 and 9147) from altitude categories between 250 to about 2000 m were extracted from official Austrian registries across 10 years (2008–2017). Altitude-associated differences in health determinants were derived from the Austrian Health Interview Survey (2014). Results: The age-standardized incidence and mortality rates of male colorectal cancer decreased by 24.0% and 44.2%, and that of female breast cancer by 6.5% and 26.2%, respectively, from the lowest to the highest altitude level. Higher physical activity levels and lower body mass index for both sexes living at higher altitudes were found. Conclusions: Living at a moderate altitude was associated with a reduced incidence and (more pronounced) mortality from colorectal and breast cancer. Our results suggest a complex interaction between specific climate conditions and lifestyle behaviours. These observations may, in certain cases, support decision making when changing residence.

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Abstract P1-09-23: Disparities in female breast cancer mortality rates between urban centers and rural areas of Brazil: Ecological time series study

10.1158/0008-5472.sabcs13-p1-09-23 ◽

2013 ◽

Author(s):

R Freitas-Junior ◽

CMR Gonzaga ◽

MR Souza ◽

M-P Curado ◽

NMA Freitas

Keyword(s):

Breast Cancer ◽

Time Series ◽

Rural Areas ◽

Breast Cancer Mortality ◽

Mortality Rates ◽

Female Breast Cancer ◽

Urban Centers ◽

Time Series Study ◽

Female Breast ◽

Series Study

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International Variation in Female Breast Cancer Incidence and Mortality Rates

Cancer Epidemiology Biomarkers & Prevention ◽

10.1158/1055-9965.epi-15-0535 ◽

2015 ◽

Vol 24 (10) ◽

pp. 1495-1506 ◽

Cited By ~ 267

Author(s):

Carol E. DeSantis ◽

Freddie Bray ◽

Jacques Ferlay ◽

Joannie Lortet-Tieulent ◽

Benjamin O. Anderson ◽

...

Keyword(s):

Breast Cancer ◽

Cancer Incidence ◽

Breast Cancer Incidence ◽

Mortality Rates ◽

Female Breast Cancer ◽

International Variation ◽

Female Breast ◽

Incidence And Mortality

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Mapping of Female Breast Cancer Incidence and Mortality Rates to Socioeconomic Factors: From Univariate Analysis to Path Diagram Analysis

10.21203/rs.3.rs-67659/v1 ◽

2020 ◽

Author(s):

Qiongle Peng ◽

Xiaoling Ren ◽

Bing Cui ◽

Henggui Cui

Keyword(s):

Breast Cancer ◽

Socioeconomic Factors ◽

Univariate Analysis ◽

Breast Cancer Incidence ◽

Mortality Rates ◽

Female Breast Cancer ◽

Economic Wealth ◽

Female Breast ◽

Path Coefficients ◽

Incidence And Mortality

Abstract PURPOSE: Breast cancer is the leading cause of death in females around the world. Its occurrence and development has been linked to genetic factors, living habits and health conditions, but also by socioeconomic factors. Comparisons of incidence and mortality rates of female breast cancer are useful approaches to define cancer-related socioeconomic disparities. METHODS: International Agency for Research on Cancer's CANCERMondial clearinghouse was used to determine the incidence and mortality rates of female breast cancer data from several developed countries for 1980–2012. We subsequently investigated the effects of socioeconomic factors on breast cancer incidence and mortality rates by regression methods from univariate analysis to path diagram analysis. RESULTS: The relationship between socioeconomic factors and the occurrence and development of breast cancer did not follow a monotonic function. We found a positive, significant association of national public wealth (GDP) on the incidence and mortality of breast cancer. The path coefficients in the structuralequations model are -0.51 and -0.39, respectively. In addition to the significant relationship between individual physical and psychological characteristics, social pressure, such as unemployment rate (UR) has a significant impact on the incidence and mortality of breast cancer. The path coefficients in the structural equations model are all 0.2. The path coefficients of individual economic wealth to the incidence rate and mortality rate of breast cancer is 0.18 and 0.27, respectively. CONCLUSIONS: A significant statistical relationship between the socioeconomic development and the crude rates of female breast cancer was shown in this study. The incidence and mortality rates of breast cancer can be regulated effectively by a moderate increase in GDP, and clearly was affected by the individual’s economic wealth (GDPPC). In addition, the influence of social pressure (e.g., unemployment rate) on the incidence and mortality of breast cancer was not typical monotonous. The survival rate of breast cancer determined by the ratio of mortality rate to incidence rate also showed a similar pattern with socioeconomic factors.

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Mapping of female breast cancer incidence and mortality rates to socioeconomic factors cohort: Path diagram analysis

10.21203/rs.3.rs-67659/v2 ◽

2020 ◽

Author(s):

Qiongle Peng ◽

Xiaoling Ren ◽

Bing Cui ◽

Henggui Cui

Keyword(s):

Breast Cancer ◽

Socioeconomic Factors ◽

Unemployment Rate ◽

Mortality Rates ◽

Female Breast Cancer ◽

Structural Equations ◽

Economic Wealth ◽

Female Breast ◽

Path Coefficients ◽

Incidence And Mortality

Abstract BACKGROUND: Breast cancer is the leading cause of death in females around the world. Its occurrence and development has been linked to genetic factors, living habits and health conditions, and socioeconomic factors. Comparisons of incidence and mortality rates of female breast cancer are useful approaches to define cancer-related socioeconomic disparities. METHODS: This was a retrospective observational cohort study on breast cancer of females in several developed countries between 1980 and 2012. The path diagram analysis for five factors, i.e. years, population, gross domestic product, gross domestic product per capita, and unemployment rate, were conducted using Excel database function, and the effects on breast cancer incidence and mortality rates were analyzed. International Agency for Research on Cancer's CANCERMondial clearinghouse was used to determine the incidence and mortality rates of female breast cancer data from several developed countries for 1980–2012. RESULTS: The relationship between socioeconomic factors and the occurrence and development of breast cancer did not follow a monotonic function. We found a positive, significant association of national public wealth on the incidence and mortality of breast cancer. The path coefficients in the structural equations model are -0.51 and -0.39, respectively. In addition to the significant relationship between individual physical and psychological characteristics, social pressure, such as unemployment rate has a significant impact on the incidence and mortality of breast cancer. The path coefficients in the structural equations model are all 0.2. The path coefficients of individual economic wealth to the incidence rate and mortality rate of breast cancer is 0.18 and 0.27, respectively. CONCLUSIONS: A significant statistical relationship between the socioeconomic development and the crude rates of female breast cancer was shown in this study. The incidence and mortality rates of breast cancer can be regulated effectively by a moderate increase in national public wealth, and clearly was affected by the individual’s economic wealth. In addition, the influence of social pressure (e.g., unemployment rate) on the incidence and mortality of breast cancer was not typical monotonous. The survival rate of breast cancer determined by the ratio of mortality rate to incidence rate also showed a similar pattern with socioeconomic factors.

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Abstract P2-07-14: Geographic variation in the female breast cancer mortality rates across counties in United States

10.1158/1538-7445.sabcs16-p2-07-14 ◽

2017 ◽

Author(s):

HKR Sagiraju ◽

L-C Chien ◽

MA Valerio ◽

I Jatoi ◽

D Gimeno

Keyword(s):

Breast Cancer ◽

United States ◽

Geographic Variation ◽

Cancer Mortality ◽

Breast Cancer Mortality ◽

Mortality Rates ◽

Female Breast Cancer ◽

Female Breast

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Disparities in female breast cancer mortality rates in Brazil between 1980 and 2009

Clinics ◽

10.6061/clinics/2012(07)05 ◽

2012 ◽

Vol 67 (7) ◽

pp. 731-737 ◽

Cited By ~ 31

Author(s):

R Freitas-Junior ◽

CM Gonzaga ◽

NM Freitas ◽

E Martins ◽

RC Dardes

Keyword(s):

Breast Cancer ◽

Cancer Mortality ◽

Breast Cancer Mortality ◽

Mortality Rates ◽

Female Breast Cancer ◽

Female Breast

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Female Breast Cancer Mortality Rates in Turkey

Asian Pacific Journal of Cancer Prevention ◽

10.7314/apjcp.2014.15.18.7569 ◽

2014 ◽

Vol 15 (18) ◽

pp. 7569-7573 ◽

Cited By ~ 5

Author(s):

Nurhan Dogan ◽

Dilek Toprak

Keyword(s):

Breast Cancer ◽

Cancer Mortality ◽

Breast Cancer Mortality ◽

Mortality Rates ◽

Female Breast Cancer ◽

Female Breast

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Female breast cancer mortality in Brazil and its regions

Revista da Associação Médica Brasileira ◽

10.1590/1806-9282.60.04.019 ◽

2014 ◽

Vol 60 (4) ◽

pp. 387-393 ◽

Cited By ~ 12

Author(s):

Ana Claudia Garabeli Cavalli Kluthcovsky ◽

Thaisa Nogueira Palozi Faria ◽

Fabio Henrique Carneiro ◽

Robson Strona

Keyword(s):

Breast Cancer ◽

Cancer Mortality ◽

Breast Cancer Mortality ◽

Mortality Rates ◽

Female Breast Cancer ◽

Mortality Data ◽

Mortality Trends ◽

Female Breast ◽

Its Regions ◽

Proportional Mortality

Objective: to analyze female breast cancer mortality trends in Brazil and its regions. Methods: female breast cancer mortality in Brazil and its regions was analyzed using mortality data from the Ministry of Health's Mortality Information System and the National Cancer Institute between 1991 and 2010. The variables analyzed were. proportional mortality from female breast cancer in relation to total deaths in women, mortality rates of the five primary locations of the neoplasms most common in women, and mortality rates for female breast cancer: Linear regression models were estimated to analyze mortality trends: Results: a growth in proportional mortality due to female breast cancer in Brazil and its regions was observed: In relation to the mortality rates for the five primary types of cancer, breast cancer persisted in first place in Brazil and its regions, except the North region, where cervical cancer was the most frequent: Rising female breast cancer mortality rates were observed for Brazil (p = 0.017), Northeastern (p < 0.001), North (p < 0.001) and the Mid-West (p = 0.001), regions, and declining rates for the Southeast region (p = 0.047), and stable rates for the South region. Conclusion: the results emphasize the importance of the disease in terms of public health in the country, reinforcing the need for early detection and appropriate treatment.

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Effects of county-level attributes on geographic variation in female breast cancer mortality rates across counties in United States.

Journal of Clinical Oncology ◽

10.1200/jco.2017.35.15_suppl.e13093 ◽

2017 ◽

Vol 35 (15_suppl) ◽

pp. e13093-e13093

Author(s):

Hari Krishna Raju Sagiraju ◽

Ismail Jatoi ◽

Melissa Valerio ◽

Lung-Chang Chien ◽

David Gimeno

Keyword(s):

Breast Cancer ◽

Cancer Mortality ◽

Breast Cancer Mortality ◽

Mortality Rates ◽

Female Breast Cancer ◽

County Level ◽

Female Breast ◽

Midwest Region ◽

Black Unemployment ◽

Hispanic White

e13093 Background: Though studies have examined geographic disparities in breast cancer mortality among United States (U.S.) counties, county-level risk factors were not accounted for. The aim of this study is to efficiently map the spatial association between female breast cancer mortality rates & socioeconomic attributes across U.S. counties for identifying high risk geographical clusters in terms of socioeconomic attributes. Methods: County-specific age standardized breast cancer mortality rates for women ≥20 years in the U.S. were obtained for 3,109 counties in 48 contiguous states from Surveillance Epidemiology and End Results program from 1990-2012. County-level attributes such as percentages of Hispanic white, Non-Hispanic white, Non-Hispanic black, < high school education, below 200% poverty, urban, foreign born, language isolation, women aged ≥ 40 years with mammography within last 2 years, and median household income were gathered from U.S. decennial census. Factor analysis condensed county attributes into three factor covariates namely Hispanic immigrants, health care access among urban high socioeconomic population, and non-Hispanic black unemployment. Spatiotemporal analysis was carried out by structured additive regression model to incorporate spatial functions & Markov chain Monte Carlo simulation techniques. Results: Moran’s index suggested existence of spatial dependence for breast cancer mortality among U.S. counties. As mammography screening, %urban population, % with high socioeconomic status and non-Hispanic black unemployment increased in counties of the Southwest region, Rocky mountain region and those in the western border of Midwest region of U.S, risk of breast cancer mortality increased significantly above the national average. As the Hispanic immigrant culture increased, counties of Midwest region of U.S had significantly higher mortality rates compared to national average. Conclusions: These initial results describe socio-economic, cultural, and healthcare access factors for observed geographic variations in female breast cancer mortality, and in turn, could support a stronger theoretical basis for public health policy.

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