Literature DB >> 28877332

Socioeconomic position, population density and site-specific cancer mortality: A multilevel analysis of Belgian adults, 2001-2011.

Paulien Hagedoorn1, Hadewijch Vandenheede1, Katrien Vanthomme1, Sylvie Gadeyne1.   

Abstract

Our study explores the association between individual and neighborhood socioeconomic position (SEP) and all-cancer and site-specific cancer mortality. Data on all Belgian residents are retrieved from a population-based dataset constructed from the 2001 census linked to register data on emigration and mortality for 2001-2011. The study population contains all men and women aged 40 years or older during follow-up. Individual SEP is measured using education, employment status and housing conditions. Neighborhood SEP is measured by a deprivation index (in quintiles). Directly age-standardized mortality rates and multilevel Poisson models are used to estimate the association between individual SEP and neighborhood deprivation and mortality from all-cancer and cancer of the lung, colon and rectum, pancreas, prostate and female breast. The potential confounding role of population density is assessed using multilevel models as well. Our findings show an increase in mortality from all-cancer and site-specific cancer by decreasing level of individual SEP for both men and women. In addition, individuals living in highly deprived neighborhoods experience significantly higher mortality from all-cancer, lung cancer, pancreatic cancer and female colorectal cancer after controlling for individual SEP. Male colorectal and prostate cancer and female breast cancer are not associated with neighborhood deprivation. Population density acts as a confounder for female lung cancer only. Our study indicates that deprivation at both the individual and neighborhood level is associated with all-cancer mortality and mortality from several cancer sites. More research into the role of life-style related and clinical factors is necessary to gain more insight into causal pathway.
© 2017 UICC.

Entities:  

Keywords:  cancer; mortality; multilevel analysis; neighborhood deprivation; socioeconomic status

Mesh:

Year:  2017        PMID: 28877332     DOI: 10.1002/ijc.31031

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  9 in total

1.  Associations of Household Income with Health-Related Quality of Life Following a Colorectal Cancer Diagnosis Varies With Neighborhood Socioeconomic Status.

Authors:  Jamaica R M Robinson; Amanda I Phipps; Wendy E Barrington; Philip M Hurvitz; Lianne Sheppard; Rachel C Malen; Polly A Newcomb
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-05-04       Impact factor: 4.254

2.  Urban versus rural residency and pancreatic cancer survival: A Danish nationwide population-based cohort study.

Authors:  Jakob Kirkegård; Morten Ladekarl; Claus Wilki Fristrup; Carsten Palnæs Hansen; Mogens Sall; Frank Viborg Mortensen
Journal:  PLoS One       Date:  2018-08-16       Impact factor: 3.240

3.  The changing relationship between health burden and work disability of Australian cancer survivors, 2003-2017: evidence from a longitudinal survey.

Authors:  Rashidul Alam Mahumud; Khorshed Alam; Jeff Dunn; Jeff Gow
Journal:  BMC Public Health       Date:  2020-04-22       Impact factor: 3.295

4.  Emerging cancer incidence, mortality, hospitalisation and associated burden among Australian cancer patients, 1982 - 2014: an incidence-based approach in terms of trends, determinants and inequality.

Authors:  Rashidul Alam Mahumud; Khorshed Alam; Jeff Dunn; Jeff Gow
Journal:  BMJ Open       Date:  2019-12-15       Impact factor: 2.692

5.  Time Trends and Income Inequalities in Cancer Incidence and Cancer-Free Life Expectancy - a Cancer Site-Specific Analysis of German Health Insurance Data.

Authors:  Fabian Tetzlaff; Jens Hoebel; Jelena Epping; Siegfried Geyer; Heiko Golpon; Juliane Tetzlaff
Journal:  Front Oncol       Date:  2022-04-14       Impact factor: 5.738

6.  Socioeconomic disparity trends in diagnostic imaging, treatments, and survival for non-small cell lung cancer 2007-2016.

Authors:  Monica Shah; Ambica Parmar; Kelvin K W Chan
Journal:  Cancer Med       Date:  2020-03-20       Impact factor: 4.452

7.  The burden of chronic diseases among Australian cancer patients: Evidence from a longitudinal exploration, 2007-2017.

Authors:  Rashidul Alam Mahumud; Khorshed Alam; Jeff Dunn; Jeff Gow
Journal:  PLoS One       Date:  2020-02-12       Impact factor: 3.240

8.  Optimization of Ultrasound-Assisted Extraction of Flavonoids from Celastrus hindsii Leaves Using Response Surface Methodology and Evaluation of Their Antioxidant and Antitumor Activities.

Authors:  Dinh-Chuong Pham; Hoang-Chinh Nguyen; Thanh-Hang Le Nguyen; Hoang-Linh Ho; Thien-Kim Trinh; Jirawat Riyaphan; Ching-Feng Weng
Journal:  Biomed Res Int       Date:  2020-02-15       Impact factor: 3.411

9.  Association between socioeconomic factors at diagnosis and survival in breast cancer: A population-based study.

Authors:  Peng Ji; Yue Gong; Chang-Chuan Jiang; Xin Hu; Gen-Hong Di; Zhi-Ming Shao
Journal:  Cancer Med       Date:  2020-01-20       Impact factor: 4.452

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.