دانلود رایگان مقاله لاتین مدل سازی نابرابری عامل خطر سرطان از سایت الزویر
عنوان فارسی مقاله:
مدل سازی نابرابری عامل خطر سرطان با توجه به منطقه جغرافیایی در شهرهای آمریکا
عنوان انگلیسی مقاله:
Modelling of geographic cancer risk factor disparities in US counties
سال انتشار : 2016
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مقدمه انگلیسی مقاله:
1. Introduction
The impact of cancer is enormous and takes a toll on both the individual and societal level. The total US economic impact of cancer in 2014 is estimated at $216.6 billion dollars, with nearly 13.7 million people living with cancer, over 1.6 million diagnoses, and more than half a million deaths (Howlander, Noone, & Krapcho, 2012; ACS, 2012). There is good news amidst the bad, however. Cancer incidence and mortality rates have been dropping in recent years according to the American Cancer Society (ACS) along with 5- year survival rates, due in part to lifestyle improvements, more advanced treatment options, and earlier detection of many cancer types (ACS, 2010). Although the overall impact of cancer in the US looks to be headed in the right direction, the effect is not felt equally among all groups in the US. Cancer disparities, defined by National Cancer Institute (NCI), as “adverse differences in cancer incidence, cancer prevalence, cancer death, cancer survivorship, and burden of cancer or related health conditions that exist among specific population groups in the United States”, are becoming an increasing focus (National Health Disparities Act, 2000). As a result, NCI funded programs and research initiatives have aimed at the lack of cohesive analysis and clear frameworks by which disparities are assessed (Harper & Lynch, 2010). This paper proposes both a theoretical framework as well as a method of analysis intended to fill this identified gap. In order to effectively address the cancer health disparities issue, a theoretical model is proposed that takes a more holistic approach to the assessment of social and economic constructs as they relate to cancer outcomes. This approach builds on previous research, which has concentrated predominantly on socioeconomic status (SES), race, ethnicity and gender differences as they relate to cancer outcomes (Calo, Suarez, Soto-Sal, gado, Quintana, & Ortiz, 2015; Cook et al., 2015; Hess, Lee, Fish, Daly, Cress, & Mayadev, 2015; Rizzo, Sherman & Arciero, 2015; Kim, Paik, Yoon, Lee, Kim & Sung, 2015). Additional studies investigate the interaction of societal variables that exists across communities and how other health behaviors influence specific cancer outcomes (Goovaerts et al., 2015; Kuo, Mobley & Anselin, 2011; Oliver, Smith, Siadaty, Hauck,Pickle, 2006; Xiao, Gwede & Milla, 2007). Using a geographic approach in the analysis of disparities, the aim of this research is ultimately on the identification of regional trends and changes in societal influence that lead to these differential impacts across all cancer types.
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کلمات کلیدی:
Modelling of geographic cancer risk factor disparities in ... - DeepDyve https://www.deepdyve.com/.../modelling-of-geographic-cancer-risk-factor-disparities-... Read "Modelling of geographic cancer risk factor disparities in US counties, Applied Geography" on DeepDyve, the largest online rental service for scholarly ... Geographic Variations in Risk - NCBI - NIH https://www.ncbi.nlm.nih.gov › NCBI › Literature › PubMed Central (PMC) by N Best - 2009 - Cited by 35 - Related articles The importance of risk factors other than smoking are of increasing interest in ... In the third model, COPD and lung cancer mortality are treated as a bivariate ... [PDF]INTRODUCTION - International Journal of Epidemiologic Research ijer.skums.ac.ir/article_12721_d957ea260b15dbe58b995e33b30ca9c4.pdf by P Chamanparaa - 2015 - Related articles risk factors in Iran; Using a shared component model ... Spatial pattern of three prevalent cancer risk factors in Iran. 69 .... colleagues modelled the geographical. Monash University Research Repository | Spatial and ecological ... arrow.monash.edu.au/vital/access/manager/Repository?exact=sm_subject... Title: Spatial and ecological modelling of cancer risk: statistical tools for ... both the adjustment for those risk factors and the removal of random and geographic ... [PDF]Multilevel modelling of the geographical ... - University of Bristol www.bristol.ac.uk/media-library/sites/.../geographical-distribution-of-diseases.pdf by IH Langford - 1999 - Cited by 175 - Related articles Keywords: Cancer epidemiology; Geographical epidemiology; Multilevel modelling; ... the distribution of the disease and associated, potentially causal, factors .... reasonable to model the logarithm of the relative risks directly (Clayton and Hills,. Geospatial Analysis and Modelling of Urban Structure and Dynamics https://books.google.com/books?isbn=9048185726 Bin Jiang, Xiaobai Yao - 2010 - Science Cancer. and. Risk. Factors. Breast cancer is the most common cancer among women. ... late-stage breast cancer risk has been shown to vary geographically. Cancer Risk Prediction and Assessment https://epi.grants.cancer.gov/cancer_risk_prediction/ May 17, 2016 - If you have information about a cancer risk prediction model you ... the general public regarding cancer risk factors, absolute vs. relative risk, ...
