Literature DB >> 27325866

Socioeconomic position and the risk of brain tumour: a Swedish national population-based cohort study.

Amal R Khanolkar1,2, Rickard Ljung2, Mats Talbäck2, Hannah L Brooke2, Sofia Carlsson2, Tiit Mathiesen3, Maria Feychting2.   

Abstract

BACKGROUND: The aim was to investigate associations between different measures of socioeconomic position (SEP) and incidence of brain tumours (glioma, meningioma and acoustic neuroma) in a nationwide population-based cohort.
METHODS: We included 4 305 265 individuals born in Sweden during 1911-1961, and residing in Sweden in 1991. Cohort members were followed from 1993 to 2010 for a first primary diagnosis of brain tumour identified from the National Cancer Register. Poisson regression was used to compute incidence rate ratios (IRR) by highest education achieved, family income, occupational group and marital status, with adjustment for age, healthcare region of residence, and time period.
RESULTS: We identified 5735 brain tumours among men and 7101 among women during the study period. Highly educated men (≥3 years university education) had increased risk of glioma (IRR 1.22, 95% CI 1.08 to 1.37) compared to men with primary education. High income was associated with higher incidence of glioma in men (1.14, 1.01 to 1.27). Women with ≥3 years university education had increased risk of glioma (1.23, 1.08 to 1.40) and meningioma (1.16, 1.04 to 1.29) compared to those with primary education. Men and women in intermediate and higher non-manual occupations had increased risk of glioma compared to low manual groups. Compared to those married/cohabiting, being single or previously married/cohabiting was associated with decreased risk of glioma in men. Men in non-manual occupations had ∼50% increased risk of acoustic neuroma compared to men in low manual occupations.
CONCLUSIONS: We observed consistent associations between higher SEP and higher risk of glioma. Completeness of cancer registration and detection bias are potential explanations for the findings. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  CANCER; EDUCATION; EPIDEMIOLOGY; Health inequalities; SOCIO-ECONOMIC

Year:  2016        PMID: 27325866     DOI: 10.1136/jech-2015-207002

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  11 in total

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2.  Digital Phenotyping in Patients with Spine Disease: A Novel Approach to Quantifying Mobility and Quality of Life.

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Journal:  Neuro Oncol       Date:  2019-11-04       Impact factor: 12.300

4.  Epidemiology and prognostic factors of pediatric brain tumor survival in the US: Evidence from four decades of population data.

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6.  The effects of clinical and sociodemographic factors on survival, resource use and lead times in patients with high-grade gliomas: a population-based register study.

Authors:  Jenny Bergqvist; Hanna Iderberg; Johan Mesterton; Roger Henriksson
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7.  Socioeconomic inequalities in cancer incidence in Europe: a comprehensive review of population-based epidemiological studies.

Authors:  Ana Mihor; Sonja Tomsic; Tina Zagar; Katarina Lokar; Vesna Zadnik
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8.  Widespread and widely widening? Examining absolute socioeconomic health inequalities in northern Sweden across twelve health indicators.

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Review 9.  Epidemiology of Brain and Other CNS Tumors.

Authors:  Quinn T Ostrom; Stephen S Francis; Jill S Barnholtz-Sloan
Journal:  Curr Neurol Neurosci Rep       Date:  2021-11-24       Impact factor: 6.030

10.  Association between health insurance status and malignant glioma.

Authors:  Igor Fischer; Hendrik-Jan Mijderwijk; Ulf D Kahlert; Marion Rapp; Michael Sabel; Daniel Hänggi; Hans-Jakob Steiger; Marie-Therese Forster; Marcel A Kamp
Journal:  Neurooncol Pract       Date:  2020-06-06
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