Literature DB >> 27244597

Impact of socio-economic position on cancer stage at presentation: Findings from a large hospital-based study in Germany.

Susanne Singer1,2,3, Julia Roick4, Susanne Briest5, Sylvia Stark5, Ines Gockel6, Andreas Boehm7, Kirsten Papsdorf8, Jürgen Meixensberger9, Tobias Müller10, Torsten Prietzel11, Franziska Schiefke12, Anja Dietel13, Jens Bräunlich14, Helge Danker4.   

Abstract

We explored the relationship between socio-economic characteristics and cancer stage at presentation. Patients admitted to a university hospital for diagnosis and treatment of cancer provided data on their education, vocational training, income, employment, job, health insurance and postcode. Tumor stage was classified according to the Union International Contre le Cancer (UICC). To analyze disparities in the likelihood of late-stage (UICC III/IV vs. I/II) diagnoses, logistic regression models adjusting for age and gender were used. Out of 1,012 patients, 572 (59%) had late-stage cancer. Separately tested, increased odds of advanced disease were associated with post-compulsory education compared to college degrees, with apprenticeship and no vocational training, with unemployment, disability pension, jobs with a low hierarchy level, blue collar jobs and with low income. Health insurance and community size were not related with late-stage cancer. Jointly modelled, there was evidence for an independent effect of unemployment (odds ratio (OR) 1.7, CI 1.0-2.8), disability pension (OR 1.8, CI 1.0-3.2) and very low income (OR 2.6, CI 1.1-6.1) on the likelihood of advanced disease stage. It is of great concern that these socio-economic gradients occur even in systems with equal access to health care.
© 2016 UICC.

Entities:  

Keywords:  education; health disparities; income; rural/urban; screening; unemployment

Mesh:

Year:  2016        PMID: 27244597     DOI: 10.1002/ijc.30212

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


  5 in total

1.  Income and health-related quality of life among prostate cancer patients over a one-year period after radical prostatectomy: a linear mixed model analysis.

Authors:  Jens Klein; Daniel Lüdecke; Kerstin Hofreuter-Gätgens; Margit Fisch; Markus Graefen; Olaf von dem Knesebeck
Journal:  Qual Life Res       Date:  2017-04-25       Impact factor: 4.147

2.  Effects of socioeconomic status on cancer patient survival: counterfactual event-based mediation analysis.

Authors:  Shi-Woei Lin; Kartika Nur Anisa
Journal:  Cancer Causes Control       Date:  2020-11-19       Impact factor: 2.506

3.  Socio-economic disparities in long-term cancer survival-10 year follow-up with individual patient data.

Authors:  Susanne Singer; Michael Bartels; Susanne Briest; Jens Einenkel; Dietger Niederwieser; Kirsten Papsdorf; Jens-Uwe Stolzenburg; Sophie Künstler; Sabine Taubenheim; Oliver Krauß
Journal:  Support Care Cancer       Date:  2016-12-10       Impact factor: 3.603

4.  Occupational inequalities in female cancer incidence in Japan: Hospital-based matched case-control study with occupational class.

Authors:  Masayoshi Zaitsu; Rena Kaneko; Takumi Takeuchi; Yuzuru Sato; Yasuki Kobayashi; Ichiro Kawachi
Journal:  SSM Popul Health       Date:  2018-06-08

5.  A matched-pair analysis on survival and response rates between German and non-German cancer patients treated at a Comprehensive Cancer Center.

Authors:  Marie K Budde; Walther Kuhn; Mignon-Denise Keyver-Paik; Friedrich Bootz; Jörg C Kalff; Stefan C Müller; Thomas Bieber; Peter Brossart; Hartmut Vatter; Ulrich Herrlinger; Dieter C Wirtz; Hans H Schild; Glen Kristiansen; Thorsten Pietsch; Stefan Aretz; Franziska Geiser; Lukas Radbruch; Rudolf H Reich; Christian P Strassburg; Dirk Skowasch; Markus Essler; Nicole Ernstmann; Jennifer Landsberg; Benjamin Funke; Ingo G H Schmidt-Wolf
Journal:  BMC Cancer       Date:  2019-10-30       Impact factor: 4.430

  5 in total

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