Literature DB >> 28657175

Socioeconomic and demographic disparities in breast cancer stage at presentation and survival: A Swiss population-based study.

Anita Feller1,2, Kurt Schmidlin1, Andrea Bordoni3, Christine Bouchardy4, Jean-Luc Bulliard5, Bertrand Camey6, Isabelle Konzelmann7, Manuela Maspoli8, Miriam Wanner9, Kerri M Clough-Gorr1,10.   

Abstract

We explored socioeconomic and demographic disparities in breast cancer (BC) stage at presentation and survival in a Swiss population-based sample of female BC patients linked to the census-based Swiss National Cohort. Tumor stage was classified according to Surveillance, Epidemiology and End Results Program summary stage (in situ/localized/regional/distant). We used highest education level attained to estimate SEP (low/middle/high). Further demographic characteristics of interest were age at presentation (30-49/50-69/70-84 years), living in a canton with organized screening (yes/no), urbanity of residence (urban/peri-urban/rural), civil status (single/married/widowed/divorced) and nationality (Swiss/non-Swiss). We used ordered logistic regression models to analyze factors associated with BC stage at presentation and competing risk regression models for factors associated with survival. Odds of later-stage BC were significantly increased for low SEP women (odds ratio 1.19, 95%CI 1.06-1.34) compared to women of high SEP. Further, women living in a canton without organized screening program, women diagnosed outside the targeted screening age and single/widowed/divorced women were more often diagnosed at later stages. Women of low SEP experienced an increased risk of dying from BC (sub-hazard ratio 1.22, 95%CI 1.05-1.43) compared to women of high SEP. Notably, these survival inequalities could not be explained by socioeconomic differences in stage at presentation and/or other sociodemographic factors. It is concerning that these social gradients have been observed in a country with universal health insurance coverage, high health expenditures and one of the highest life expectancies in the world.
© 2017 UICC.

Entities:  

Keywords:  breast cancer; health inequalities; incidence; socioeconomic position; survival

Mesh:

Year:  2017        PMID: 28657175     DOI: 10.1002/ijc.30856

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


  12 in total

1.  The Epidemiological Trend of Acute Myeloid Leukemia in Childhood: a Population-Based Analysis.

Authors:  Xuanwei Chen; Jianwei Pan; Shuncong Wang; Shandie Hong; Shunrong Hong; Shaoru He
Journal:  J Cancer       Date:  2019-08-27       Impact factor: 4.207

2.  Recognizing and appraising symptoms of breast cancer as a reason for delayed presentation in Ghanaian women: A qualitative study.

Authors:  Adwoa Bemah Bonsu; Busisiwe Purity Ncama
Journal:  PLoS One       Date:  2019-01-09       Impact factor: 3.240

3.  Older Adults' Socio-Demographic Determinants of Health Related to Promoting Health and Getting Preventive Health Care in Southern United States: A Secondary Analysis of a Survey Project Dataset.

Authors:  Huey-Ming Tzeng; Udoka Okpalauwaekwe; Chih-Ying Li
Journal:  Nurs Rep       Date:  2021-02-15

4.  Research on the cutoff tumor size of omitting radiotherapy for BCSS after breast conserving surgery in women aged 65 years or oder with low-risk invasive breast carcinoma: Results based on the SEER database.

Authors:  Zejian Yang; Kunlong Li; Pei Qiu; Yifei Ma; Bin Wang; Yu Yan; Du Meng; Chen Feng; Yu Ren; Yijun Li; Pingping Li; Can Zhou
Journal:  Breast       Date:  2021-11-22       Impact factor: 4.380

5.  Association between socioeconomic status and survival in patients with hepatocellular carcinoma.

Authors:  Yongshun Zheng; Xun Zhang; Jinsen Lu; Shuchen Liu; Yeben Qian
Journal:  Cancer Med       Date:  2021-08-20       Impact factor: 4.452

6.  Socioeconomic and demographic inequalities in stage at diagnosis and survival among colorectal cancer patients: evidence from a Swiss population-based study.

Authors:  Anita Feller; Kurt Schmidlin; Andrea Bordoni; Christine Bouchardy; Jean-Luc Bulliard; Bertrand Camey; Isabelle Konzelmann; Manuela Maspoli; Miriam Wanner; Marcel Zwahlen; Kerri M Clough-Gorr
Journal:  Cancer Med       Date:  2018-02-26       Impact factor: 4.452

Review 7.  Relationship of Socio Economic Status, Income, and Education with the Survival Rate of Breast Cancer: A Meta-Analysis.

Authors:  Majid Taheri; Mohammad Tavakol; Mohammad Esmaeil Akbari; Amir Almasi-Hashiani; Mahmoud Abbasi
Journal:  Iran J Public Health       Date:  2019-08       Impact factor: 1.429

8.  The relative risk of second primary cancers in Switzerland: a population-based retrospective cohort study.

Authors:  Anita Feller; Katarina L Matthes; Andrea Bordoni; Christine Bouchardy; Jean-Luc Bulliard; Christian Herrmann; Isabelle Konzelmann; Manuela Maspoli; Mohsen Mousavi; Sabine Rohrmann; Katharina Staehelin; Volker Arndt
Journal:  BMC Cancer       Date:  2020-01-21       Impact factor: 4.430

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

10.  Early detection of breast cancer rectifies inequality of breast cancer outcomes.

Authors:  László Tabár; Tony Hsiu-Hsi Chen; Amy Ming-Fang Yen; Peter B Dean; Robert A Smith; Håkan Jonsson; Sven Törnberg; Sam Li-Sheng Chen; Sherry Yueh-Hsia Chiu; Jean Ching-Yuan Fann; May Mei-Sheng Ku; Wendy Yi-Ying Wu; Chen-Yang Hsu; Yu-Ching Chen; Gunilla Svane; Edward Azavedo; Helene Grundström; Per Sundén; Karin Leifland; Ewa Frodis; Joakim Ramos; Birgitta Epstein; Anders Åkerlund; Ann Sundbom; Pál Bordás; Hans Wallin; Leena Starck; Annika Björkgren; Stina Carlson; Irma Fredriksson; Johan Ahlgren; Daniel Öhman; Lars Holmberg; Stephen W Duffy
Journal:  J Med Screen       Date:  2020-05-05       Impact factor: 2.136

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